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Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Utility Worker to join our UniFirst community. As a Team Partner in the Maintenance Department, you will be assisting with maintaining the location building and equipment systems by performing; basic maintenance and plant utility functions, loading and unloading deliveries, painting, operating industrial equipment, and plant cleaning / blowdowns. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime! We have an immediate opening and provide on the job training. Pay & Benefits: On the job training & great hourly pay + 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds. We believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome. What you’ll be doing: • Utilize equipment to perform plant cleaning operations, this includes,: floor scrubbers, lint and dust removal devices, outside rubbish removal, equipment cleaning, and pit / trench screen cleaning., • Perform miscellaneous painting tasks throughout the plant or outside on facility grounds., • Operate powered industrial forklifts / lifts throughout the facility to assist in relocating materials., • Assist in loading and unloading trucks, • Assist with production receiving activities., • Perform various levels of facilities upkeep including landscaping, snow removal, and other removal operations., • Perform light equipment maintenance tasks, trench screen cleaning, lint and dust blowdown of facilities and equipment, fluid level checks, light bulb replacement, ceiling tile replacement, cart cleaning and repair, and pressure washing after appropriate training from UniFirst., • Upon proper training and certification, may be called upon to operate Company vehicles such as shuttle trucks or route trucks., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school diploma or GED equivalent required., • At least 2 years of relevant experience is preferred., • Must be 18 years of age or older, • Valid driver's license and a safe driving record are required., • Ability to work independently with little or no supervision., • Must be able to operate powered industrial equipment (forklifts, floor scrubbers, scissor lifts) and other similar tools as required., • Experience using basic hand and power tools is required., • Ability to read, comprehend and interpret procedures and instructions in English., • Ability to effectively present information and respond to questions from co-workers and managers., • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated hourly pay for this position ranges from $19.23 to $25.59 per hour. Actual compensation will vary based on factors including but not limited the candidate’s skills, experience, and qualifications. Geographic differentials may apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 2 billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

New Hire Incentive Bonus! UniFirst’s Whippany, NJ location is now offering an incentive bonus for $1,000 new hires. The following guidelines must be met to be eligible: • New hire must reach 90 days of employment to receive the full incentive bonus., • New hire must abide by UniFirst’s 90-Day Probationary Period. This includes meeting UniFirst’s attendance and performance policy., • New hire must not have been previously employed by UniFirst. Our Team is Kind of a Big Deal! UniFirst is seeking a reliable and hardworking Maintenance Supervisor to join our UniFirst community! As the Maintenance Supervisor you will ensure all facility equipment is efficiently functioning and identify areas to improve processes, procedures, maintenance practices and on-going training for all maintenance staff. At UniFirst we have a standard Monday - Friday work week with periodic night and weekend overtime. We have an immediate opening and provide on the job training. What’s in it for you? Training: Our Team Partners receive quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Growth: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. Culture: Our culture is what makes UniFirst an organization that stands out from the rest. Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds because we believe it takes many kinds of people to make us successful. What you’ll be doing: • Diagnose mechanical and electrical problems and determine corrective action by checking blueprints, schematics, repair manuals and parts catalogs., • Inspect, operate, and test machinery and equipment to diagnose machine malfunctions., • Performing basic welding activities to effect repairs on facilities and equipment., • Troubleshoot and repair Programmable Logic Controllers (PLC’s) and associated control systems., • Perform and assign all preventive maintenance on facility and production assets., • Follow blueprints, schematics, operations manuals, manufacturer’s instructions, and engineering specifications using a documented schedule., • Perform boiler chemical and wastewater pre-treatment system testing, record results in logbooks / computer systems and make necessary chemical adjustments as required., • Manage and assign all equipment maintenance, including repairs which cannot be completed during standard hours., • Assume responsibility for all shifts in the maintenance department., • Oversee and implement all maintenance related regulatory and environmental compliance requirements., • Assume responsibility for all aspects of safety within the maintenance department., • Perform Confined Space and Lockout / Tagout procedures where appropriate., • Monitor training status of technicians and provide time for required training as needed., • Utilize a Computerized Maintenance Management System., • Partner with the Production Manager to develop, manage and maintain budget for building, equipment, capital expenditures and parts/labor., • Train and develop maintenance partners., • Perform other duties as assigned by leadership. Qualifications What we’re looking for: • High school and/or GED is preferred., • Two-year technical degree in an appropriate background is preferred., • Must be at least 21 years of age., • Valid driver’s license and a safe driving record are required., • Must pass UniFirst’s maintenance knowledge assessment to be eligible for employment., • Knowledgeable in maintenance equipment. This includes wiring, electrical, mechanical, electronic components, pipe systems and plumbing required., • Minimum of 3 years of work experience repairing industrial processing equipment in a production environment required. Applicable military experience will be considered., • Minimum of 2 years of experience supervising maintenance personnel is preferred., • Maintenance administration experience including planning, scheduling, budgeting, negotiating, parts management, vendor management, maintenance management systems is required., • Ability to read blueprints and schematics is required., • Ability to read and understand maintenance literature printed in English required., • Proficiency in Microsoft Office skills is required., • Experience in Hand & Power tools is required., • Lockout / Tagout experience is required, • Ability to work overtime as needed is required., • Ability to lift up to 80 lbs. The estimated salary for this position ranges from $82,426.14 to $114,480.75 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 1.5-billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 13,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. There’s a lot to love about UniFirst, where you come first. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Job Description Our Vision: To make New York City the global model for inclusive innovation and economic growth, fueled by the City's diverse people and businesses. Our Mission: Creating a vibrant, inclusive, and globally competitive economy for all New Yorkers. The Asset Management Property Operations Department is responsible for protecting and enhancing the value of City-owned real estate assets and serving the operational needs of tenant businesses. In addition, the department assists NYCEDC in the allocation of resources among its properties. Position Overview: The Mechanic position is responsible for the operations and maintenance of City-owned properties within NYCEDC's Asset Management portfolio, specifically the Bush Terminal/MADE Campus in Brooklyn, NY, and other properties as assigned within the EDC portfolio. This role reports to the AVP of Operations of the MADE Campus. Essential Duties and Responsibilities: Maintenance & Repairs: • Perform preventive maintenance, repairs, and emergency services as directed, including electrical, gas, water & sewer, plumbing, heating ventilation and air conditioner (HVAC), domestic water pumps, carpentry, painting, masonry and general janitorial needs. Perform cleaning duties when required. Field Management: • Conduct daily inspections of assigned properties and inform supervisor of any maintenance issues or repairs needed. Ability to work autonomously but also receive guidance from the Specialty Mechanic or Lead Mechanic., • Perform inspections and have familiarity with the functionality of the mechanical equipment., • When directed, provide technical guidance to maintenance personnel, including scheduling and coordinating work assignments per supervisor direction. Outsourced Contracting: • Monitor and report work performed by outsourced contractors., • Assist and escort outsourced contractors when required. Communication and Reporting: • Communicate effectively with peers, supervisors, and external partners., • Report on repairs and projects with relevant stakeholders to provide status updates and ensure timely completion of work. Emergency Response: • Respond to emergencies as required. Must be available and responsive 24/7 and able to assist with solutions during the decision-making process as issues arise., • Conduct snow removal duties at assigned sites Training: • Assist the Specialty Mechanic and/or Lead Mechanic and learn new trades as needed., • When directed, provide technical guidance to maintenance personnel, including scheduling and coordinating work assignments. Duty Station and Site Reporting: • This is an onsite position that requires a 5-day presence at the Sunset Park Campus with travel to our main office at One Liberty Plaza as needed., • Other duties as assigned. Certifications and Ongoing Development: While not required at the time of hire, the following certifications (not limited to) are encouraged and may be obtained during employment: • OSHA 30 Hour, • FDNY S12 Supervision of Sprinkler Systems (Citywide), • FDNY S13 Supervision of Standpipe Systems (Citywide), • FDNY S95 Supervision of Fire Alarm Systems, • Backhoes/heavy equipment training (Dump Truck/front-end loader/skid steer/backhoe), • NYS Driver license Class D, • Power Industrial Truck Certification, • Aerial Work Platform Certification, • CPR/AED/Basic First Aid Training, • TWIC Certification Qualifications: • High School diploma or equivalent; vocational training or certification is a plus., • 5+ years of experience required with working knowledge in maintenance, inspections and repairs, • Ability to use handheld and desktop computer devices to input work orders and record work, • Must maintain a valid NYS Driver License with clean driving record, • Working knowledge of construction and handyman repair techniques. Experience in electrical, plumbing, HVAC and equipment associated with trades, • Experience working with hand tools, power tools, and materials, and equipment associated with construction related trades., • Knowledge of New York City, • New York City residence required within 180 days of hire Salary Range $60,000—$62,000 USD About Us: New York City Economic Development Corporation is a mission-driven, nonprofit organization that works for a vibrant, inclusive, and globally competitive economy for all New Yorkers. We take a comprehensive approach, through four main strategies: strengthen confidence in NYC as a great place to do business; grow innovative sectors, with a focus on equity; build neighborhoods as places to live, learn, work, and play; and deliver sustainable infrastructure for communities and the city's future economy. NYCEDC is committed to offering competitive benefits to support employee health, happiness, and work-life balance. We offer comprehensive benefits and unique perks to ensure NYCEDC employees flourish in their professional and personal lives: • Generous employer subsidized health insurance, • Medical, dental, and pharmacy plans, • Vision and hearing benefits, • Flexible spending accounts for healthcare and dependent care, • Short term and long-term disability coverage, • 100% employer covered life insurance and supplemental life insurance coverage, • Up to 25 vacation days, • Floating Holidays and Summer Fridays, • Parental leave - up to 20 paid weeks, • Retirement savings programs, • Company-paid 401(a) defined contribution plan, • 457(b) tax-advantaged retirement savings plan, • Tuition Reimbursement program, • Continuing education and professional development, • Public Service Loan Forgiveness (PSLF) eligible employer, • College savings plan, • Backup childcare, • Gym membership discounts, • A Calm.com membership for mindfulness and mental health support, • Employee discounts through Plum Benefits and much more Benefits listed above may vary based on the length and nature of your employment with New York City Economic Development Corporation. These benefits are subject to be modified at any time, at the discretion of the organization. The New York City Economic Development Corporation is an Equal Opportunity Employer. Our Diversity, Equity, and Social Responsibility Mission is to create a People First strategy by attracting, retaining, and engaging a diverse and talented workforce. Like the city of New York, NYCEDC knows our strength comes from each of our connected parts, making the fabric of our organization better and stronger because of our unique employees' talents. At NYCEDC, all applications are reviewed by our Talent Acquisition team and hiring managers. We do not use artificial intelligence (AI) tools to screen, evaluate, or make decisions regarding candidate resumes or applications. Each candidate is considered through a thoughtful, human-led review process to ensure equity, consistency, and alignment with the needs of the role. For more information, visit our website at edc.nyc.

Job Description Kinsley Power Systems is seeking an Industrial Sales Engineer to add to their team! The Industrial Sales Engineer's main objective is to sell industrial power generation applications including related equipment (transfer switches, switchgear, load banks, fuel tanks, etc.) to end-users, engineers, electrical contractors, municipalities, government applications and OEMs, among others. Kinsley Power Systems, a family-owned business, has been an industry leader in generator service, sales and rentals for over 60 years. If you want to join a growing company with strong family values, a great culture, a company where you are valued for your hard work and have opportunities to grow – then look no further, come join our Kinsley family! Responsibilities: • Responsible for pursuing new project opportunities and closing sales, • Influences quote development, appropriate equipment and support services, project terms and conditions and ensuring customer support exists through the equipment warranty period, • Meets or exceeds quarterly sales quotas by driving sales with targeted customer types in identified verticals, as well as identifies opportunities with existing accounts in assigned territory, • Negotiates and closes deals which derive significant revenue and associated margins, • Understands the company's complete suite of products and services and identifies and hands-off cross-selling opportunities to other business verticals: residential equipment, rental agreements, prime power equipment, service contract sales, • Makes joint sales calls with appropriate technical/engineering sales resources - providing in-depth technical knowledge of the solutions we have to offer, • Develops long-term relationships with customer decision makers and influencers at the electrical contractor, engineer and building owner levels, • Maintains customer/project data in Customer Relationship Management software (CRM): Tracks active projects for weekly and monthly reporting, documenting of business development activity, and obstacles to success Preferred Skills and Experience: • Bachelor’s degree; or equivalent combination of education and experience will be considered on a case-by-case basis, • Proven passion and success in sales required, • Must be self-motivated with the ability to work independently and in a team atmosphere, • Possess a strong customer services focus with good verbal and written communication skills, • Must possess a strong sense of urgency and a proven ability to meet deadlines, • Proven competency in Microsoft Office, • Ability to work a flexible schedule, including overnight travel as required, • Possess and maintain a current, valid state driver’s license All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. The anticipated compensation range for this position is $85,000 to $130,000 annually. Actual compensation may vary based on skills, experience, certifications, location, and other business-related factors. Kinsley Group offers a comprehensive benefits package that may include medical, dental, and vision insurance, company-paid life insurance, disability coverage, paid time off, paid holidays, 401(k) with company match, employee assistance programs, and other company-sponsored benefits. Compensation details: 85000-130000 Yearly Salary PI6196beb6a9f0-25405-39740032

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Company Overview: NRS is a leading provider of transportation & supply chain management services, and a family-owned and operated company that has been providing smart logistics solutions for the world's leading retailers and manufacturers for 70+ years. Whether it’s NRT, Keystone, Keystone Fresh, or Keystone Capacity, our innovative energy drives us towards new and valuable solutions for our clients, even as we continuously grow and strengthen our network. We are dedicated to creating a culture that empowers the individual and offers our associates the opportunity to apply their unique skill to the challenges facing our clients. In the office, the warehouse, or on the road, it is this commitment to our innovative spirit that unites us in common mission to push boundaries in the logistics industry. Job Overview: The Turret Operator plays a critical role in warehouse operations by safely operating turret trucks and other powered industrial trucks (PIT) to move, stack, and retrieve merchandise. The operator ensures operational efficiency, safety compliance, and quality standards in the use of turret trucks and other PIT operations, while upholding safety standards and actively participating in improving workplace practices and procedures. Duties and responsibilities: • Operate turret trucks to safely stack, move, locate, relocate, and count merchandise, adhering to all safety protocols., • Transport products to and from designated warehouse locations, including placement at various heights within the racking system., • Verify the accuracy of order quantities against work orders, and accurately pick and store products per the inventory management system., • Ensure shipment documentation complies with Standard Operating Procedures (SOP)., • Conduct pre-operation checks on PITs, troubleshoot minor issues, and manage equipment maintenance., • Conduct cycle counts and physical inventories as required, ensuring products are properly labeled and stored in the correct locations., • Follow all safety practices and immediately report hazardous situations to management., • Communicate effectively with supervisors and team members regarding inventory levels, product issues, and operational needs., • Maintain a safety-first approach, including proper PPE compliance and maintaining a hazard-free work environment., • Perform other duties as assigned. Qualifications: • High school diploma required., • Valid Turret truck certification with recertification required every three years., • Proven experience operating a turret truck or similar equipment in a warehouse environment., • Physical agility and the ability to work extended hours, including evenings, weekends, and holidays as needed., • Keen attention to detail with a solid background in warehouse operations., • Proficient knowledge of safety practices, rules, and company requirements., • Effective verbal and written communication skills in both English and Spanish., • Familiarity with order receipts, warehouse management software (WMS), RF scanning devices, and distribution center locations., • Strong attention to detail and organizational skills, with the ability to work as part of a team., • Understanding of company policies and procedures., • Capability to lift up to 49 pounds independently and handle products heavier than 50 pounds using safe team-lift methods., • Physical ability to push, pull, squat, bend, and reach throughout a regular shift. Physical Demands: • Operating Machinery: Regular operation of forklifts and other material handling equipment., • Sitting and Maneuvering: Extended periods of sitting while navigating and operating the forklift within tight spaces., • Attention to Safety: Constant vigilance and adherence to safety protocols to prevent accidents and ensure safe operation., • Lifting and Stacking: Manual lifting and stacking of materials when necessary, occasionally handling loads of up to 50 pounds., • Visual and Auditory Awareness: High level of situational awareness required, with the need to quickly identify hazards and signals., • Flexibility and Coordination: Bending, reaching, and coordinating movements for loading and unloading materials., • Working Conditions: Work in warehouses, distribution centers, or outdoor areas, potentially in varying weather conditions, including cold storage environments. EEO Statement: NRS is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristic.

Job Description JOB DESCRIPTION JOB TITLE: Job Developer (CRED program) DEPARTMENT: Employment Services CRED Program LOCATION: Bronx, NY REPORTS TO: Program Director SALARY: $45000.00 -$ 50,000.00 Annual SUMMARY: Under the Supervision of the Senior Job Developer, the Job Developer establishes and maintains activities to develop, locate and secure job opportunities for program participants; markets programs and coordinates job resources for our clientele. DUTIES & RESPONSIBILITIES: • Initiates and maintains ongoing personal contacts with a variety of business in the Light Industrial and industry representatives and job placement/training agencies to promote programs for participant placement., • Makes a substantial amount of cold calls per week to potential employers that result in job placement opportunities (60-80 cold calls per week)., • Explains the benefits and employment support services provided to employers, including addressing employer’s special need and post-employment retention services., • Researches the internet, newspapers, local agencies, and other resources for job leads., • Locate jobs for participants who have successfully completed training programs and/or are enrolled within contracted programs., • Collect data from employers related to job orders including job requirements and skills; matches job skills with applicant qualifications; refers qualified applicants to employers and conducts necessary follow-up when applicants are placed in positions., • Keeps updated regarding job fairs happening within the surrounding area, • Participates in outreach and recruitment activities and attends internal/external job fairs., • Develops employer resources and maintains a job bank. Fulfills at a minimum, a quota of (7) placements per month., • Assist with the delivery of job readiness training workshops for program participants, simulating workplace experiences., • Assist consumers in assessing their job skills for positions/job orders., • Instruct participants in job seeking, application procedures resume writing, interview preparation and job retention skills when necessary., • Provide job search/career information workshops and presentations to consumers when needed., • Arranges/schedules interviews for employers to facilitate hires., • Provide consumers with Labor Market trends and information., • Submit Weekly Activity Reports, Placement Reports and Contact Log at the conclusion of each week., • Conducts job site visits and follow-ups after placement to ensure a successful transition into gainful employment., • Monitor participants’ performance on the job and counsel consumer’s when job performance is less than satisfactory., • Spends a significant amount of time cultivating relationships with existing employers that supersedes referring candidates for job opportunities; employers should be encouraged to become “partners” of Westhab and support the acquisition of grants and new programs. EXPERIENCE, EDUCATION AND SPECIAL REQUIREMENT: HS and two years’ experience in sales, marketing, job development, social/human services or employment and training program working with disadvantaged adults. Must have a valid NYS Driver’s License and car available for work. Must be able to effectively market and represent our programs, our clients and services to employers. Must be able to effectively communicate in writing and orally as, ideally, candidates will make presentations, facilitate job readiness workshops and make a connection with various business representatives. In addition, the ideal candidate must be able to utilize time management techniques to organize and prioritize work to meet contracted deadlines & timelines. AGENCY PROFILE & EMPLOYEE EXPECTATIONS: Westhab is the premier organization of our kind in our region, providing housing and supportive services for more than 10,000 of the most vulnerable members of our community each year. We are staffed by an extraordinary group of hard-working professionals that are fully committed to our mission - Building Communities. Changing Lives. Working at Westhab is not easy. Our expectations for all staff are high. We believe that the people and the communities that we have the privilege to serve deserve our very best every day. We are results-driven organization that focuses on empowerment and impact. If you want to apply for this opportunity, it should only be because you feel ready for the challenges and expectations that come with joining this kind of team. (EOE) OCCUPATIONAL SAFETY AND HEALTH ADMINISTRATION (OSHA): The Occupational Safety and Health Administration (OSHA) ensures safe and healthful working conditions to workers by setting and enforcing standards and by providing training, outreach, education and assistance. Westhab complies with all applicable OSHA standards, rules and regulations in addition to keeping our workplaces free of serious recognized hazards.

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description The Arcticom Group (“TAG”) is a U.S.-based network of commercial and industrial mechanical services companies that provide HVACR service, maintenance, and installation services throughout North America. TAG is committed to being an “employer of choice” and ensuring employees have a home where they can learn and grow. With competitive compensation and an attractive benefits package, TAG is an exciting place to work. TOMCO, a TAG company is seeking Refrigeration Service Technicians for commercial service work in and around the Bronx, NY area Role Summary: The Journeyman Refrigeration Service Technician performs commercial service, maintenance, and repair on refrigeration systems including walk-ins, self-contained units, single systems, and rack systems. This role supports grocery and retail locations, ensuring systems operate safely and efficiently. Roles and Responsibilities: • Diagnose, repair, and maintain commercial refrigeration systems (self-contained units, walk-ins, single systems, rack systems)., • Troubleshoot electrical and mechanical refrigeration components., • Perform preventative maintenance on HVAC and refrigeration equipment., • Complete minor plumbing repairs (walk-in drains, case drains, cooling towers, water-cooled condensers)., • Inspect refrigeration, electrical, and plumbing systems to identify service needs., • Communicate service updates with store managers and directors., • Provide repair estimates and recommend equipment replacement when appropriate., • Maintain van stock, tools, and required safety equipment. Skills and Qualifications: • 2-5 + years of HVAC/R experience, • Strong diagnostic and mechanical skills, • Professional communication abilities, • Attention to detail and strong decision-making skills, • Ability to participate in on-call rotation, • Ability to pass physical, drug screen, background check, and MVR review Preferred Qualifications: • Universal EPA Certification, • Electrical license, • 2–3 years minimum of grocery refrigeration experience, • HVAC/R technical school or related certifications Benefits: • Competitive pay, • Medical, dental, and vision insurance options, • Retirement savings plan with company contributions (401(k) or equivalent), • Paid vacation, holidays, and sick time, • Year-round, steady work, • Opportunities for career growth advancement, • Supportive, team-based work environment

Job Description Join a USA Today Top Workplace! Morris Group, Inc., one of the largest machine tool distribution networks in North America, is a third generation, family owned and operated business that serves manufacturers of precision machined parts in the United States. Our mission is to help manufacturers maintain a competitive advantage in the world economy by improving productivity. Summary of Responsibility: A Field Service Technician is a key member of the Customer Support Department and is primarily responsible for the installation, preventive maintenance, solving and repair of Computer Numerically Controlled (CNC) Lathe, Milling and Multi-Functional Machining Centers. We are seeking customer focused professionals who have a positive attitude, a high interest in learning and great Customer service skills. This opportunity is an above average platform for technical advancement and compensation growth. What You Will Contribute: The CNC Field Service Technician must have or be willing to learn through training on the job and classroom an understanding of mechanical drawings, electrical/pneumatic/hydraulic schematics, PLC ladder diagrams and testing equipment required to effectively diagnose and resolve issues with electrical/mechanical components, as well as electro-mechanical and machine control systems. Daily travel from home to Customer facilities with occasional overnight hotel stays required when servicing remote Customer locations within the designated coverage territory or when participating in remote training programs. Demonstrating a willingness to help others and be a team member Install, commission, calibrate, maintain, tackle, diagnose, and repair CNC equipment and accessory CNC equipment at customer facilities. Service calls also include operator training, networking between systems, software applications, preventive maintenance, major assembly replacements and alignments, overhauls/refurbishments, upgrades/retrofits, and un-installation services. Provide a direct communication link between the Customer and the Service Group of the Robert E. Morris Company. Provide voice of Customer feedback. Through service and Customer relationships, build brand dedication. Conduct travel and work in a safe manner, constantly learning new technology and soft skills. Apply machine tool manuals, technical documents, as well as internal and external authorities to optimally diagnose and resolve CNC equipment issues. Effectively understand and use the Salesforce Lightning Customer Support computer system. Qualifications & Competencies: Proficient verbal and written communication and Customer relation skills. Able to interact and effectively communicate in person and over the phone with customer and co-workers. Present a professional image. Must be adaptable to changes and able to deal with change, delays, or general work-related issues. Basic digital literacy and shown understanding of MS Word, Excel, and Outlook. Must have, and/or be willing/capable of being trained to develop, electro-mechanical skills (motors, drives, transformers etc.). Knowledge of machine tool manufacture, installation, operation, maintenance & repair and/or a broad shop background – is a plus. Basic mechanical and logical solving skills are a must. Rational decision making and problem-solving skills. Work Environment Exposure to manufacturing/machining environments which may present possible hazards such as noise, electricity, chemicals, heavy equipment, and other automated or manual machinery. General office and training environment experienced at the Robert E. Morris Company. Other Functions: Perform related duties as required The duties listed above are intended only as illustration of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar or a logical assignment to the position. What’s in it for You: We take great pride in our employees and offer a variety of benefits that allow our employees to be successful inside and outside of work: Competitive starting salary Market competitive comprehensive health benefits including a zero premium medical plan offering, vision, dental, and company paid life insurance 3+ Weeks’ Vacation to Start 10 Company Paid Holidays 401(k) retirement plan with company contribution Tuition reimbursement Employee appreciation events and perks Employee Assistance Program Mental and Physical Requirements: The physical demands and characteristics of the work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Must be highly mobile, able to access all areas of the premises. Ability to concentrate and remain focused while prioritizing multiple tasks, responsibilities, and projects. Ability to sit for prolonged period of times. Able to perform bending, twisting, stooping, reaching, and lifting of moderate to heavyweight material up to 50 lbs. with assistance from equipment or other employees. Ability to frequently use hands and arms. Vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Ability to work responsibly and professionally in dynamic job sites that may involve tight timelines, changing priorities, and interaction with customers and team members. Certain positions are designated as safety-sensitive due to the nature of the work performed. Employees in these roles may also be expected to: Ability to stand, walk, bend, kneel, crouch, climb, and reach for extended periods while servicing equipment. Ability to work in tight spaces or awkward positions, including accessing equipment interiors and elevated areas. Strong hand–eye coordination and fine motor skills required for precise electrical, mechanical, and diagnostic work. Ability to work in industrial environments, with exposure to noise, lubricants, coolants, metal chips, and other manufacturing conditions, while consistently wearing required personal protective equipment (PPE). Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Requisition #: 1438B, Brooklyn NY

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: Tristate area from NYC to end of Long Island Pay: 25/hr Saturday and Sunday's Only (first shift) Job Summary: Associate Customer Service Technician serves as primary customer contact on technical and service related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including hardware, software, PC's, and wireless networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Job Responsibilities: • Primary responsibility will be to troubleshoot and repair a variety of industrial products that include, but are not limited to; printing equipment, cash recycling products, mailing and sorting machines, credit card embossing, and processing and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an "on call" level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent., • Degree in electronics, advanced mechanics and/or software training with 1+ year related industry/equipment experience or equivalent combination of education and experience., • Associate degree preferred. Travel: This position requires some travel in the United States and Canada. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires stooping, kneeling, crouching and/or crawling., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The Company is an Equal Opportunity Employer. It is the policy of the Company to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

Job Description Field Technician – Industrial Hygiene Division TTI Environmental, Inc. is an integrated environmental services contractor and consulting firm serving government, industrial, commercial, academic, financial, and private clients nationwide. Headquartered in Moorestown, New Jersey, TTI’s team of experienced, certified, and licensed professionals work directly with clients to provide sound solutions to environmental challenges. TTI is seeking a full-time Field Technician to join our Industrial Hygiene Division. This role involves fieldwork, on-site assessments, and technical evaluations. This position provides an opportunity for the right individual to grow and settle into higher level positions within the Industrial Hygiene career field. The ideal candidate will reside in Northern New Jersey or one of the five boroughs of New York City. This position offers a flexible remote and in-person work environment, with work performed from home, at client sites, and at TTI’s regional office in Bloomfield, NJ. Responsibilities • Inspection and on-site monitoring for asbestos, mold, lead paint, and indoor air quality, • Conduct detailed surveys for asbestos, lead based paint, right to know, and mold, • Perform air monitoring and contractor oversight during asbestos abatement projects, • Maintain, operate, and calibrate a variety of sampling and monitoring equipment, • Technical report writing and interpretation of analytical data, • Timeliness, time management, ability to meet deadlines, and responsiveness to emergencies is vital, • Assignments are of varying complexity and under direction of a project manager Qualifications • New Jersey Asbestos Safety Technician certification a plus, • Minimum of two (2) years of relevant asbestos experience preferred, • Current EPA/AHERA Asbestos Building Inspector accreditation preferred, • Lead-related licenses/certifications preferred, • New York environmental, asbestos, mold, and lead certifications a plus, including:, • NYC DEP Asbestos Investigator, • NYSDOL Asbestos Inspector, • NYSDOH Lead Inspector/Risk Assessor, • NYSDOL Mold Assessor, • Knowledge of general building mechanical systems and building construction, • Associate or bachelor’s degree in environmental science or a related field preferred, • Clear and concise verbal and written communication skills, • General computer skills and working knowledge of Microsoft Office Suite · Willingness to learn, complete training, and obtain additional certifications as needed Requirements • High School Diploma or Mechanical/Trade School Diploma, • Ability to work independently, exercise sound judgement, and demonstrate self-motivation, • Ability to travel/commute to remote sites as needed, • Willingness to work limited weekends and second shift assignments, • Ability to perform field work and meet the physical demands of the position, • Ability to carry up to 30 lbs. of equipment and safely use ladders, • Valid driver’s license and ability to successfully pass a pre-employment screening and physical, • Must be a U.S. citizen or legally authorized to work in the United States without sponsorship Compensation & Benefits TTI offers a dynamic team environment with excellent benefits and opportunities for professional growth. Our compensation package includes: • Competitive compensation, • Matching 401(k) retirement plan, • Health, dental, vision, and life insurance, • Flexible Spending Accounts (FSA), • Paid safety training, • Paid professional certification and license fees, • Mileage reimbursement, • Paid time off, including holidays and sick time Compensation: $25.00-$30.00 hourly, commensurate with qualifications and experience. Shift: Day and evening hours with occasional weekend work. Company Culture TTI fosters a culture where leadership is approachable, support is accessible, and every voice is welcomed. Collaboration and teamwork guides how we solve problems and achieve shared goals, while diverse perspectives strengthen our decisions. We are committed to professional development, encouraging continuous learning and growth so every employee can reach their full potential. By prioritizing wellbeing and cultivating a forward-thinking mindset, we create an environment where people feel valued and can thrive in long-term success. TTI is an Equal Opportunity / Affirmative Action Employer.

Job Description About Bell and Howell Bell and Howell delivers technology-driven Automation Services and Automation Solutions that help businesses optimize performance, reduce downtime, and improve customer experiences. Our Automation Services bring a dedicated team of expert mechatronic service engineers completely covering North America and backed by our Integrated 360™ advanced technology enabling remote repair, diagnostics, automated SmartOps Dispatch™ and 24/7/365 technical assistance for our clients. We provide a comprehensive and certified level of support for thousands of diversified clients. Our Automated Solutions product portfolio consists of next-generation equipment delivering best-in-class performance enhancing workflow efficiency and elevating customer experiences across multiple markets including retail, pharmaceuticals, packaging, mail production, ecommerce and manufacturing – all backed by the best service in the industry. Location: NYC/Brooklyn/Queens & Long Island Areas Hourly Range: 23-30/hr. Summary: The Field Customer Service Engineer serves as primary customer contact on technical and service-related problems on a wide range of industrial, robotic and printing equipment. Diagnoses electronic, mechanical, software and system failures, using established procedures provided by our highly rated service training department. This job may include any aspect of field support, including electrical/electronics, hardware, software, PC’s, and networking. Provides technical support to customers on operational or maintenance aspects of system equipment. Determines most cost-effective repair/resolution to minimize customer downtime. Note: This is not an IT role. The position requires hands-on electrical and mechanical troubleshooting with experience using Digital Multi Meter (DMM) and more. Duties and Responsibilities: • Primary responsibility will be to install, troubleshoot and repair a variety of industrial products that include, but are not limited to; printing and packaging equipment, cash recycling products, inserting and sorting machines, credit card attaching and processing systems, robotics and any other applicable third-party accessories attached as part of the system., • Schedule and perform regular predictive/preventive maintenance inspections on equipment., • Provide support by managing parts inventory, customer service calls and preventative maintenance schedules., • Foster positive customer relations and a high degree of customer satisfaction by communicating effectively with customers., • Act as a liaison between the customer and other departments/functions of the company., • May need to provide an “on call” level of service up to seven (7) day/week twenty-four (24) hour/day for emergency customer assistance; respond to emergency and non-scheduled calls for service within established response time goals. Supervisory Responsibilities: N/A Competencies (Skills, Knowledge and Abilities): • Requires understanding of computer program functionality and software troubleshooting skills., • Strong interpersonal/customer relation skills., • Ability to build and maintain strong customer relationships by understanding their operations and instilling confidence with effective proactive communication., • Ability to effectively resolve conflict internally and externally., • Ability to accomplish the describe duties through appropriate hand, power, and testing tools/equipment., • Ability to reason logically and make sound decisions along with considering alternative and diverse perspectives., • Strong analytical, problem-solving, quantitative, and time management skills., • Ability to communicate effectively both orally and in writing., • Ability to understand, remember and follow verbal and written instructions., • Ability to work as an integral part of a team., • Ability to read and understand written procedures and diagrams for assembly and test., • Ability to develop and implement solutions to assembly problem., • Ability to maintain regular attendance and be punctual. Education and Experience: • High School degree or equivalent with 2-year degree or diploma in electronics/advanced mechanics/software training with 1+ years related industry/equipment experience, or equivalent combination of education and experience., • Requires strong electronics and mechanical background, understanding of computer program functionality and software troubleshooting skills, • Associate degree preferred. Travel: This position requires minimal travel in the United States and Canada for training and other requirements. For field only, local travel time could be greater than 50%. Physical Requirements: • Ability to use standard and specialized hand, power and diagnostic tools and measuring equipment, such as oscilloscopes, DMM, gauges, etc., • Requires lifting to waist seventy (70) pounds., • Requires walking and standing; using hands to feel objects; reaching; and requires balance., • Requires bending, stooping, kneeling, crouching and/or crawling for periods of time., • Ability to work in a loud environment., • Ability to work in small, cramped areas., • Ability to work in elevated environment up to twenty (20) feet., • Work is performed in a controlled office, retail, and manufacturing environment; noise within acceptable safety levels; paper dust prevalent; cleaners and solvents used to clean machines; machines contain moving parts. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Bell and Howell is an Equal Opportunity Employer. It is company policy to administer employment based solely on an individual’s qualifications, ability and performance without regard to race, color, religion, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, age, national origin or ancestry, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, marital status, or any other characteristic protected by federal, state or local law.

Job Description The Arcticom Group (“TAG”) is a U.S.-based network of commercial and industrial mechanical services companies that provide HVACR service, maintenance, and installation services throughout North America. TAG is committed to being an “employer of choice” and ensuring employees have a home where they can learn and grow. With competitive compensation and an attractive benefits package, TAG is an exciting place to work. TOMCO , a TAG company is seeking Refrigeration Service Technicians for commercial service work in and around the Staten Island, NY area Role Summary: The Journeyman Refrigeration Service Technician performs commercial service, maintenance, and repair on refrigeration systems including walk-ins, self-contained units, single systems, and rack systems. This role supports grocery and retail locations, ensuring systems operate safely and efficiently. Roles and Responsibilities: • Diagnose, repair, and maintain commercial refrigeration systems (self-contained units, walk-ins, single systems, rack systems)., • Troubleshoot electrical and mechanical refrigeration components., • Perform preventative maintenance on HVAC and refrigeration equipment., • Complete minor plumbing repairs (walk-in drains, case drains, cooling towers, water-cooled condensers)., • Inspect refrigeration, electrical, and plumbing systems to identify service needs., • Communicate service updates with store managers and directors., • Provide repair estimates and recommend equipment replacement when appropriate., • Maintain van stock, tools, and required safety equipment. Skills and Qualifications: • 2-5 + years of HVAC/R experience, • Strong diagnostic and mechanical skills, • Professional communication abilities, • Attention to detail and strong decision-making skills, • Ability to participate in on-call rotation, • Ability to pass physical, drug screen, background check, and MVR review Preferred Qualifications: • Universal EPA Certification, • Electrical license, • 2–3 years minimum of grocery refrigeration experience, • HVAC/R technical school or related certifications Benefits: • Competitive pay, • Medical, dental, and vision insurance options, • Retirement savings plan with company contributions (401(k) or equivalent), • Paid vacation, holidays, and sick time, • Year-round, steady work, • Opportunities for career growth advancement, • Supportive, team-based work environment

Job DescriptionCommercial Gas/Oil Burner Service Mechanic - Immediate Opening We have partnered with a well-established, family-owned commercial boiler services company that has proudly served the industry for over 80 years. Known for exceptional customer service and technical expertise, they specialize in commercial boiler repair, maintenance, inspections, combustion analysis, welding, fabrication, and water treatment services. Due to continued growth, they are hiring an experienced Commercial Gas/Oil Burner Service Mechanic to join their team. Why Join This Team? • Company service vehicle - dispatched from home, • Competitive pay, • Health insurance, • 401(k), • Pension plan, • Paid vacation, sick time, and holidays, • Company-provided tools, • Ongoing technical training and certification support, • Long-term career stability with an industry leader Key Responsibilities, • Service, troubleshoot, and repair commercial and industrial gas/oil burners and boiler systems, • Perform combustion analysis and system adjustments to maximize efficiency and ensure emissions compliance, • Diagnose electrical and mechanical issues involving burner controls and boiler systems, • Conduct preventative maintenance and routine inspections on commercial heating systems, • Replace and calibrate components including fuel pumps, nozzles, motors, ignition transformers, and control panels, • Read

Job Description At PEARCE, we've got a career for you! Pearce is a leading technology-enabled provider of asset management solutions for mission-critical electromechanical infrastructure throughout North America. Pearce provides technical maintenance, repair, operations, and engineering services for uninterruptible power supply (UPS) systems, backup power generators, battery energy storage systems (BESS), critical cooling systems, and other electrical and mechanical infrastructure across end markets such as renewable energy, telecom, and data centers. Founded in 1998, Pearce has more than 4,000 employees and 28 locations across the U.S. Pearce is a wholly owned subsidiary of CBRE Group, Inc., the world's largest commercial real estate services and investment firm. To learn more about Pearce visit http://www.pearce-services.com. Your Impact The Solar Battery Energy Storage System (BESS) Technician in the PEARCE Renewables Operations and Maintenance (OM) division performs tasks involving operations and maintenance (O&M) and physical labor at commercial and industrial solar energy projects located throughout United States. These are local sites-candidates should reside within 50 miles of the New York, New York areas. Core Responsibilities • Troubleshoot and perform preventive maintenance on Battery Energy Storage System (BESS) equipment., • Perform Lock Out Tag Out (LOTO) of equipment as an authorized person and under properly performed LOTO conditions., • Conduct daily safety and task planning discussions including pre-task planning, Job Hazard Assessments (JHAs), and Risk Assessments (RAs)., • Interact with vendors and customers in a professional manner., • Act as a team member to support site work which could include supervising field work onsite focusing on safety, quality, and efficiency. Specific duties may vary or evolve over time based on business and client needs. Core Experience • 3- 4+ years of electrical proficiency relating to electrical systems and components is required., • 3- 4+ years of Renewable energy experience is preferred., • A commitment to safety and attention to detail with the ability to recognize potential issues and provide safe solutions., • Post-secondary education is preferred., • Electrical certifications are preferred such as OSHA 10, OSHA 30, and NFPA70E., • Excellent written and verbal skills to meet Environmental Health and Safety (EHS) internal and external requirements is required. Physical/Work Environment: At Pearce safety is our number one concern. Candidates must be able to comply with OSHA Standards. • Candidates residing in the New York, New York area preferred., • Candidates must have a valid driver's license for at least a year., • Work possible rotating shifts., • Prolong standing and working in ergonomic challenging positions., • Varied climates based upon locations. Compensation: $35.00-$60.00 hourly/DOE At Pearce, we are committed to fair and transparent pay practices. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location. In addition to wages, employees may also be eligible for performance and referral bonuses, production incentives, tool/equipment and fuel stipends, company vehicle, per diem or other applicable compensation. We also offer all full-time employees a comprehensive benefits package including health and life insurance, 401k with employer match, paid time off, tuition reimbursement, and professional development courses. This pay range reflects our commitment to pay equity and compliance with state and federal pay transparency laws. If you have questions about compensation, we encourage open discussions during the hiring process. Base Pay Range $35—$60 USD What We Offer Pearce offers a family-friendly and innovative culture with opportunities for growth, competitive compensation, comprehensive health benefits including medical, dental and vision insurance, flexible spending accounts, HSA option. To help you recharge, we have paid vacation and paid holidays. For your future, we offer a company-matching 401(k) Retirement, Life Insurance, Tuition reimbursement, and professional development training. To help you be successful at work, as required for the role, we will provide a company vehicle, phone, laptop, or tablet along with all necessary tools and safety equipment. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Learn more about us at www.Pearce-Services.com!

Applied Researcher 4 (AI Safety & Multimodal)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • Experience with red teaming and deploying safety guardrails for multimodal systems, including VLMs, MLLMs, and MM-RAG architectures\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n\n • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience in AI Safety, LLM safety alignment, Guardrail development\n, • Safety and vulnerability assessment of Multi-modal application using image/video plus text modality\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Weekend Shift Schedule: Wednesday – Sunday, or Saturday – Wednesday (5-day work week, includes weekend coverage). On-site required for weekday shifts. Compensation reflects a 10% increase for this schedule. Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $135,000 - $165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 2+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 2+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. Bonus Points: Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000 - $170,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n • \n Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms \n • \n Has a deep understanding of the foundations of AI methodologies \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes \n • \n Experience in delivering libraries, platform level code or solution level code to existing products \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n • \n Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 5 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionAurify Brands: Create. Grow. Aurify Company Overview Aurify Brands is a hospitality development group that owns Melt Shop, The Little Beet, The Little Beet Table, Fields Good Chicken, and franchises Five Guys Burgers and Fries in Manhattan and Brooklyn. We operate like an incubator - allowing each brand to grow and thrive, with all of the support of our platform expertise and resources. We believe that no organization of lasting value can be built without a strong, aspirational culture — and we’ve tried to do just that, thanks to the help of everyone at Aurify. Our core values are to: Be Kind: Have compassion, be nice and do the right thing. Be Honest: Authenticity earns respect. Be Humble: Lead by example and celebrate the success of others. Be Resolute: Make firm decisions that drive positive results. Be Curious: Never stop learning and push outside of your comfort zone. At Aurify Brands, our goal is to develop and retain a best-in-class team that encourages personal and professional growth, entrepreneurship, and team loyalty. We offer a highly competitive compensation and comprehensive benefits plan. Together, we will continue to experience success as the industry’s best. Job Description/Position Title: People Operations Manager Reports to: Chief People Officer What you’ll need: • Integrity: Having a strong moral and ethical compass will steer you in the right direction in this role., • Discretion: You’ll be a trusted ear and advocate for everyone under the Aurify umbrella., • Professionalism: Take the high road in your approach., • Empathy: Walk a mile in someone else’s kitchen (we made that a thing.), • Collaborative nature: Because “People” is in your title! What you’ll do: -Provide communication, training, and support to all GMs and DMs regarding any people-related tools or policy updates -Maintain all required onboarding documents and policies, and update consistently in the HR System to ensure compliance with -employment laws -Partner with compliance to communicate the relevant information pertaining to HR-related store postings -Review and revise handbook and policies annually, ensuring brands are complying with all State and Local laws as outlined in the handbook and supplements -Maintain current salary/compensation benchmarking data -Oversee benefits administration, including claims resolution, change reporting, approving invoices for payment and communicating benefits information to Aurify platform and brand employees -Handle employee relations counseling and exit interviews, following the hierarchy process already in place (employee to GM to DM first consult with HR or Legal for confirmation of resolution) -Partner with Chief of Staff on risk mitigation and litigation issues -Maintain company organization charts and the employee directory -Assist in evaluation of reports, decisions and results of department in relation to established goals. Recommends new approaches, policies and procedures to continually improve efficiency of the department and services performed. -Maintain human resource information system records and compile reports from the database -Conduct designated weekly, quarterly, and annual compliance audits -Maintain and promote compliance with federal, state and local employment and benefits laws and regulations. What else you’ll need: -Bachelor's degree in Human Resources, Organizational Behavior, Psychology, Business Administration, Industrial or Psychology or any related field -3-5 years of experience in HR and/or a related field (GM experience) -Exceptional business acumen and problem solving -Strong verbal and written communication skills; working knowledge of Spanish is preferred -Experience with HRIS Systems; Knowledge of federal and state labor laws -Decision-making, leadership, and change management skills -Knowledge of time accounting software, human resources software, accounting/payroll software, enterprise resource planning software and resume submission software; Paycom experience is a plus -HRM-CP or SHRM-SCP certification preferred

Job DescriptionDescription: About Caliber Service Management We are a family of value-driven companies offering a full range of soft and hard facility management services (Landscaping, Snow Removal, Property Enhancements, Project Management, Lot Services and Stormwater Management) that aid in providing safe and attractive facilities. With over 100 years of industry experience collectively, our team of subject matter experts is committed to effective performance and successful partnerships with asset, property and facility managers as well as real estate investment trusts. We take tremendous pride in helping solve, support, and maximize the true potential of each property. Caliber is a privately held LLC with annual revenue greater than 50 million and we proudly serve more than one thousand high performing commercial, industrial and retail locations. With more than forty million square feet of exterior grounds care, emergency response, construction and snow removal, our workforce includes more than one hundred and fifty team members and over one thousand service partners. Job Summary *This role is dedicated to a large, single site, corporate campus in West Chester county NY. Commercial landscape and snow removal experience required The Site Operations Manager provides leadership, direction, oversight and responsibility within a large Fortune 500 corporate campus. Responsibilities • Provide daily, AM site inspections, weather/condition reports and operational plans for service., • Execute, direct, service delivery. Manage active storms, pre and post storm plan and communicate to all stake holders, • Plow, de-ice, clearing support, • Read, Understand and Implement detailed facilities maintenance Scopes of Work and Service Level Agreements, • Facilitate communications in the field between team members, Caliber Operations Managers, Caliber Service Management Affiliates, client location., • Manage the client; up to and including client Regional Vice Presidents., • Conduct Service Validations, • Train and guide vendors as required, • Provide guidance and feedback to Caliber Service Management, • Maintains Quality Control Reports, • Resolve customer problems by applying resources as necessa, • Engage and entertain the customer as appropriate, • Conduct training and presentations concerning scope of work to site personnel and providers, • Foster a positive team environment, • Ensure confidentiality of internal and external data, • Perform ad-hoc projects and other duties as assigned, • Responsibilities frequently require emergency support, mobilization and extended engagement (weekends/after-hours/holidays); scheduled and non-scheduled including but not limited to property damage and snow emergencies Professional Skills • Customer Service – Advanced, • Verbal Communication – Proficient, • Written Communication – Proficient, • Teamwork – Proficient, • Relationships – Advanced, • Organizational Awareness – Proficient, • Problem Solving – Proficient, • Process Orientation – Proficient Role Specific Skills • Proficiency in Microsoft Office tools (Word, Excel, Access, Power Point), • Snow fighter/warrior mentality, • Capable of working outside in supervisory-inspection capacity in all weather conditions, • Able to climb ladders and perform roof top maintenance inspection tasks, • Able to be present on site and on call with limited delay Requirements: Minimum Qualifications • SIMA, ASM/CSP certified a plus, • 5 years of commercial snow removal leadership and management required Other Relevant Qualifications • Strong multi-unit enterprise facilities management experience preferred in the following skills: Landscaping, Irrigation, Snow-Ice Programs, Interior and exterior facilities management, and Janitorial Services, • Experience in a trade, • Experience in facilities industry

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech. \n \n Come join one of our quickly growing portfolio companies, Home | CREW Carbon! \n \n CREW Carbon Overview \n \n CREW’s technology and services make wastewater treatment cheaper and more efficient, while permanently sequestering CO₂. \n \n Leveraging advanced chemistry, natural minerals, and AI, we’ve developed and are deploying a category-defining process intensification technology, with decarbonization at its core. Today, we help wastewater treatment facilities and operators: \n \n\n • Stabilize pH & alkalinity 24/7\n, • Eliminate hazardous chemicals & cut costs\n, • Avoid $100M+ infrastructure upgrades\n, • Capture & Store CO2\n\n \n We are currently deploying this technology across the US and Europe. In addition, we’ve signed $30M+ in carbon removal offtake agreements with leading corporations looking to meet their climate goals, supercharging geographical CREW’s expansion. \n \n CREW has offices and labs in New Haven, CT and offices in Brooklyn, NY. \n \n We are funded by Counteract, ReGen, Ponderosa, Connecticut Innovations and others. We've secured large contracts with the premier buyers of carbon credits through the Frontier Climate Fund (Stripe, Shopify, Autodesk, McKinsey, among others) and have been selected by the Department of Energy as one of the few potential suppliers of high-quality carbon credits to the federal government. \n \n About The Role \n \n We're looking for a Talent & People Lead to own and help build the People function at CREW Carbon. \n \n This is a unique opportunity for someone with a strong foundation in Talent who is excited to expand into broader People Operations and HR leadership. You'll own our recruiting efforts, support the employee experience, and help build the people processes, programs, and infrastructure needed as we scale. \n \n You'll report directly to the CEO and partner closely with a fractional Head of People for strategic guidance and support. While this is an individual contributor role, you'll have meaningful autonomy and ownership across the entire employee lifecycle. \n \n This role is ideal for someone who has helped scale an early-stage startup and is ready to take the next step toward owning a People function. \n \n This is an in-office position based in our NewLab office in Brooklyn, 5 days per week. \n \n What You'll Own \n \n\n • Own full-cycle recruiting across technical, scientific, operational, and business functions, from intake through offer acceptance.\n, • Own day-to-day People Operations across the employee lifecycle, including onboarding, employee changes, and offboarding.\n, • Partner directly with the CEO and hiring managers to define hiring needs, develop recruiting strategies, and prioritize open roles.\n, • Manage candidate experience, interview processes, assessments, and offer coordination.\n, • Serve as the primary point of contact for employee questions related to policies, benefits, and People processes.\n, • Support performance management, employee feedback, engagement surveys, and professional development initiatives.\n, • Partner with leadership and the fractional Head of People on employee relations matters, policy development, and HR compliance.\n, • Help foster a strong company culture through thoughtful employee programs, communications, and team initiatives.\n, • Build, document, and improve scalable People processes, policies, and systems appropriate for an early-stage company.\n, • Identify gaps in our existing People infrastructure and independently drive practical improvements.\n, • Maintain accurate employee data and provide reporting and insights to support leadership decisions.\n\n \n What You'll Bring \n \n\n • 4+ years of experience in Talent Acquisition, People Operations, or a combination of these functions.\n, • Startup experience is essential. You've worked in an early-stage, fast-paced environment where priorities shift, resources are limited, and individuals wear multiple hats.\n, • Full-cycle recruiting experience, including sourcing, interviewing, candidate management, and partnering with hiring managers.\n, • Experience working directly with founders, executives, or senior leaders on People and Talent challenges\n, • Exposure to broader HR responsibilities, including compensation, benefits, employee relations, onboarding, or performance management.\n, • Experience building or improving recruiting and People processes, systems, or programs in a growing organization.\n, • Strong organizational and project management skills, with the ability to independently manage multiple priorities.\n, • Excellent communication skills, sound judgment, and the ability to build trust across all levels of an organization.\n, • A self-starter mentality with a willingness to take ownership, solve problems, and execute without extensive direction.\n, • Comfort operating in ambiguity and moving between strategic conversations and hands-on administrative work.\n\n \n Nice to Have \n \n\n • Experience as an early Talent or People hire at a Seed, Series A, or Series B startup.\n, • Experience recruiting technical, engineering, scientific, or other specialized roles.\n, • Experience in climate tech, hard tech, industrial technology, or other technically complex industries.\n, • Familiarity with HRIS and ATS platforms, such as Ashby, Greenhouse, Rippling, or Sequoia.\n, • Experience supporting compensation benchmarking, benefits administration, or employee relations.\n, • Experience implementing new People programs or infrastructure from scratch.\n\n \n Compensation \n \n Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of the total compensation and benefits package. Other benefits for eligible employees may include: equity through the form of option grants, flexible paid time off, 401(k) plan, well equipped office environment, and health benefits offerings. \n \n The expected base salary range for this role is $100,000 – $125,000. This range represents the company’s estimate for this position at the time of posting however actual compensation may vary based on skills, experience, location, role scope, and business needs. \n \n CREW Highlights \n \n\n • Raised $25M of funding in January 2026\n, • Deployed at nearly 10 wastewater treatment facilities across the US and Europe, including leading utilities like HRSD (Hampton Roads Sanitation District)\n, • Delivered measurable performance improvements at wastewater treatment facilities, with one utility considering deferring $400 million in planned capital upgrades\n, • Secured $33+ million in carbon removal offtake agreements with Frontier Climate Fund in 2024\n, • Captured 2,000+ tons of CO2 faster and more cost effectively than other carbon removal credit suppliers\n, • Won a $2.3 million award from the Colorado Energy Office as part of the state’s Clean Air Program in February 2026\n, • Selected as 1 of 24 companies by the US Department of Energy in 2024 to be a potential supplier of high-quality carbon credits to the federal government\n, • Developed proprietary measurement, reporting, and verification (MRV) capabilities that enable high-confidence carbon removal quantification\n\n \n CREW Carbon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company.

Job DescriptionLocation: Division Manager needed in New York City, NY Job Summary We have an immediate opening for an architect or engineer to join our team as a Division Manager assisting the Structural Engineering Director in our New York City office. The Division Manager is responsible for assisting the Executive VP of overseeing and guiding the team of engineers and project managers in ensuring the delivery of high-quality services, fostering client relationships and providing strategic direction. Oversee that projects are completed on time and within budget and the final work product conforms to contract and applicable code, as well as meeting the work product standards set within the company. We are looking for someone with 10+ years’ experience related to repair structural and restoration of existing building. You will be responsible managing multiple employees. Need to be QPSI certified. A bachelors degree in engineering is needed. Estimated salary range for this position is $140,000.00 to $195,000.00. The salary listed is an estimate and not guaranteed. The salary offered will vary based on experience, education, skills and abilities DUTIES & RESPONSIBILITES: Essential Functions for All Technical Positions • Coordinate and manage internal kick-off, milestone, and closeout meetings for projects, fostering effective communication and collaboration among team members and stakeholders., • Verify schedules and ensure adherence to project plans and timelines, both internally and with external resources, to meet project objectives efficiently., • Conduct on-site inspections, documenting existing conditions, performing field testing, photographing, and creating hand-sketches. Observes/ tracks work in progress to ensure compliance with project specifications., • Records accurate field measurements and performs calculations throughout the duration of the project., • Prepare written correspondence with clients and contractors, maintaining clear and professional communication throughout the project lifecycle., • Understand investigation reports and bid documents, including drawings and technical specifications, to ensure accurate interpretation and implementation., • Communicate project status and proactively address any issues or discrepancies that arise. Escalate unresolved issues to their direct supervisor in a timely manner., • Maintain organized records, files, drawings, and other essential project data ensuring that they are appropriately filed within the company’s systems for easy accessibility and future reference., • Collect post-project feedback to identify areas of improvement and communicates this feedback to their direct supervisor., • Keep up to date with job knowledge and industry trends through active participation in educational workshops, reviewing professional publications, and engaging in professional societies and networks., • Engage in networking activities and represent the company at events, seminars, continuing education presentations. Actively seek marketing opportunities to promote the organization’s presence in the industry. (Not limited to exclusive company events.), • Performs other duties as related to the position as assigned by the firm, demonstrating flexibility and adaptability to contributing to the overall success of the team. Special Requirements Technical • Perform complex inspections and testing, applying technical expertise to ensure compliance with project specifications, codes, and industry standards., • Generate detailed field reports and opinion reports based on findings., • Demonstrate a thorough understanding of specifications and plans and effectively produce accurate and comprehensive documents., • Understand and interpret technical contract requirements, ensuring compliance throughout the duration of the project., • Review and evaluate change orders, assessing their impact on the project scope, schedule and budget and providing recommendations to the team lead/ senior management., • Review payment applications, verifying the accuracy of work completed and materials supplied by contractors.Client Relations, • Develop and maintain strong relationships with clients, serving as their primary point of contact, addressing concerns, and managing expectations., • Independently plan, organize, and run project meetings, effectively communication project objectives, deliverables, and action items to all stakeholders.Internal Team, • Works closely with the team to understand the scope of work, budget, goals, deliverables, and timeline to ensure project success., • Mentor and provide guidance to Project Associates, fostering their professional growth and development. Please be aware that this job description does not encompass an exhaustive list of activities, duties, or responsibilities expected of the employee. The nature of the role may necessitate additional responsibilities, and/or activities, which can occur at any time, with or without prior notice. SUPERVISORY RESPONSIBILITIES: This position entails no supervisory responsibilities. QUALIFICATIONS: Education • Bachelor’s degree from a four-year college or university in Civil/Structural Engineering, or relevant work experience. Work Experience • A minimum of 10+ years of experience in an engineering consulting firm or related construction industry. Licenses and Certifications • OSHA 30-hour certification., • QPSI certification needed, • Valid United States Driver’s License required, as this position requires travel to and from client sitesSkills, • Proficient written and verbal communication abilities., • Attention to detail and accuracy in project documentation and deliverables., • Strong project management and organizational skills and ability to handle multiple projects concurrently., • Knowledge of building codes, regulations, and standards., • Professional and courteous interaction with clients and colleagues., • Ability to attend client meetings and events, as needed., • Flexibility to work overtime, as needed., • Familiarity with drafting software for positions that utilize the software (AutoCAD, BricsCAD, Revit) for positions that utilize the software., • Strong teamwork and collaboration skills, fostering a positive and productive work environment, along with the ability to work both independently and collaboratively with team members from various disciplines., • Ability to work in the field and to travel outside local areas as workload and projects when needed., • Efficient time management skills while adhering to project budgets.Physical Demands Lifting • Must be able to lift and carry items weighing up to 40 lbs., • Height and Access Equipment, • Safe operation and use of ladders, scaffolds, and other access equipment as required., • Ability to work safely at heights.Outdoor Environment, • Exposure to prolonged periods outdoors, which might extend beyond 3 hours., • Ability to work in diverse weather conditions, including but not limited to:, • Temperatures above 85°ree;F or below 40°ree;F., • High humidity levels (above 90%)., • Adverse weather conditions like snow/ice, rain, and wind.Who We Are At The Falcon Group, our mission is to deliver exceptional service across a broad range of industries, including multifamily, industrial, commercial, retail, hospitality, healthcare, and forensic/litigation support. Built on decades of experience, we provide a full spectrum of services, from architectural design to civil, structural, mechanical, electrical, and plumbing engineering, as well as construction administration and forensic assessments. This integrated approach allows us to deliver comprehensive, cost-conscious solutions to our clients’ most complex challenges. With a growing presence in key markets and multiple regional offices, we’re expanding rapidly and always looking for talented professionals to join our team. Guided by collaboration, innovation, and integrity, The Falcon Group provides the environment and support to help you thrive personally and professionally. EMPLOYEE BENEFITS We offer competitive salaries, professional work environments and a comprehensive benefits package. Benefits include Group Medical, Dental and Vision, 401k with employer match, Supplemental Life Insurance, AD&D, Legal Plan, Pet Insurance, Critical Illness, Hospital Indemnity and Accident Plans, Paid Holidays, Vacation, Sick time, Cell Phone Reimbursement and Continuing Education Equal Opportunity Employer/ Veterans/ Disabled Powered by JazzHR syYYPmN1HB

Applied Researcher 4 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Mechanical Engineer US-NJ-Edison Job ID: 2026-3254 of Openings: 1 Category: MEP LiRo-Hill Overview We have an immediate need for a Sr. Mechanical Engineer for our Edison, NJ location. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Edison, NJ. Responsibilities In this role, you will lead the design and development of HVAC systems for commercial, industrial, municipal, and healthcare facilities. Additional responsibilities will include: • Lead the design and development of HVAC systems for commercial, industrial, municipal and healthcare facilities., • Perform load calculations, energy modeling, and system sizing using industry-standard software., • Prepare detailed mechanical drawings, specifications, details and controls diagrams., • Coordinate with multidisciplinary teams including architects, structural engineers, and other stakeholders., • Conduct site visits, field inspections, and construction administration including review of shop drawings, RFIs etc., • Mentor junior engineers and provide technical guidance., • Perform QA/QC reviews of projects to ensure high standards of quality are maintained., • Ensure compliance with local codes, standards and client requirements., • Interface with clients, attend project meetings, and present technical solutions., • Participate in project sales proposals and interviews., • Conduct site assessments and generate comprehensive technical reports. Qualifications • Bachelor’s degree in Mechanical Engineering, • Professional Engineer (PE) license required, • Minimum of 10 years of relevant experience in HVAC design, • Proficiency in AutoCAD, Revit, Microsoft Excel, Word, Teams and HVAC design software (e.g., Trane Trace, HAP), • Strong knowledge of mechanical codes, energy efficiency standards, and sustainable design practices, • Excellent leadership, mentoring and project management skills, • Strong technical writing and communication skills, • Certifications or Licenses (if required): PE License, NY, NJ We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus, • Volunteer/Industry association opportunities Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $150,000: $170,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. • The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 Compensation details: 150000-170000 Yearly Salary PI34ee6458bb1b-38003-39462574

Job Description Warehouse Janitorial Associate Kellermeyer Bergensons Services (KBS) has immediate full-time, permanent openings to join our Warehouse Janitorial Associate/Cleaning Crew Member. If you enjoy working in a fast-paced environment and helping make an impact on safety in the workplace, then this is the job for you! What are you waiting for, APPLY TODAY and join the KBS Crew! Discover What the Job’s All About Want to know what to expect in this role? This quick video breaks it down for you, core duties, must-have skills, and what a typical day looks like. Take a minute to watch and see if it’s the right job for you! Job Preview Video-English Job Preview Video-Spanish Kellermeyer Bergensons Services (KBS) is the largest privately held provider of facility services in North America, servicing over 2 billion square feet of space daily. We help industry leaders across a wide range of key verticals—including retail, industrial and logistics, healthcare, education, manufacturing, and more—maintain clean, efficient, and welcoming spaces that support their operations. As we continue to grow, we’re looking for team members who are dedicated, reliable, and ready to contribute to a culture built on respect, opportunity, and pride in service. Work Schedule: Days/nights vary, including weekends Shifts Available: 8:00pm-7:00am 8:00pm- 7:00am Starting Pay: $16.29 per hour Our Warehouse Cleaning/Janitorial positions perform the following duties within designated work areas, as assigned at the beginning of each shift: • Cleaning restrooms, break areas (indoor/outdoor), office areas, • Sweeping, mopping, dusting, removing trash, • Ensure all walkways are clean and tidy at all times, • Clean totes and other items, • Some deep cleaning, as needed, • Follow all safety and quality standards, • Other basic janitorial duties as assigned Requirements for our Warehouse Cleaning/Janitorial Positions: • Ability to lift and move totes up to 49 pounds, • Walking in and around the facility with great frequency throughout the entire shift, • Must be able to stand and walk for up to 10-12 hours, • Ability to read and interpret documents such as safety rules, operating and maintenance instructions, procedure manuals, and safe handling for chemicals sheets/documents (generally in English; may have in Spanish where state required), • Dexterity in eye/hand coordination, feet (foot pedals), manual (picking, pinching, holding, grasping), and wrist motion (repetitive flexion/rotation), • KBS utilizes the KBSPresence mobile timekeeping software for accurate recording of employee work hours, attendance management, completion of required training, and distribution of important employment-related information. All non-exempt employees are required to download and use the KBSPresence app on their personal mobile devices to clock in and out for their shifts and breaks. In accordance with applicable local laws, cell phone reimbursement is provided to support the use of personal devices for work-related tasks. What's In It for You? As a full-time KBS employee (30+ hours per week) you qualify for benefits including medical, prescription drugs, dental, vision and more! • Affordable Limited Medical Insurance (Coterie) which includes virtual access to US board-certified physicians who can consult, diagnose, and prescribe medications via interactive audio or video., • Life Insurance, • Supplemental Health Insurance (E.G., Accident), • 401k plan with a match, • Paid and Unpaid Time Off, • Quick Pay – voluntary benefit offered to both full-time and part-time KBS employees who are paid hourly via direct deposit. Quick Pay provides a way for employees to access a portion of their pay prior to the upcoming scheduled pay day., • Pet Insurance, • PerkSpot Discount Program – discounts on travel, gyms, cell phones, restaurants, auto, apparel & electronics, • Progressive Pay is available at select site locations, though it is not offered at every location. Employees will receive a $.50 increase after the first 90 days, and another $.30 increase after completing 180 days. Check today if this is available to you. KBS considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity, and expression, marital or military status, or based on an individual's status in any group or class protected by applicable federal, state, or local law. KBS also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. We participate in the E-Verify program administered by the U.S. Department of Homeland Security

Applied Researcher 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Publications studying tokenization, data quality, dataset curation, or labeling \n, • Contribution to a major open source corpus \n, • Contribution to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff Applied Researcher At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. What You’ll Do: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities The Ideal Candidate: • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms, • Has a deep understanding of the foundations of AI methodologies, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Has worked on an LLM (open source or commercial) that is currently available for use, • Demonstrated ability to guide the technical direction of a large-scale model training team, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens, • Experience with common training optimization frameworks (deep speed, nemo), • Behavioral Models, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series), • Member of technical leadership for model deployment for a very large user behavior model, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems, • Experience with production real-time and streaming environments, • Contributions to common open source frameworks (pytorch-geometric, DGL), • Proposed new methods for inference or representation learning on graphs or sequences, • Worked datasets with 100m+ users, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large language models, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Data Preparation, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling, • Leading contributions to one or more large open source corpus (1 Trillion + tokens), • Core contributor to open source libraries for data quality, dataset curation, or labeling, • Demonstrated history of initiating and leading multi-year research programs that shaped the direction of AI or ML subfields (e.g., representation learning, foundation models, multimodal reasoning) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher McLean, VA: $306,300 - $349,500 for Staff Applied Researcher New York, NY: $334,100 - $381,300 for Staff Applied Researcher San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations: Multimodal Guardrails and VLM's) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You’ll Do: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms, • Has a deep understanding of the foundations of AI methodologies, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks, • Experience designing controlled experiments and documenting reproducibility results for internal or public research Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Forward Deployed Engineer Location: Remote (US) | Type: Contract, Full Time | Experience: 4+ years About the Role We're hiring Forward Deployed Engineers to take AI from a promising prototype to something people use every day. You'll scope the problem with the client, write the code, connect it to their systems, and stay with it until it works in production. These are full-time contract engagements with enterprise teams and AI-focused companies in industries like energy, healthcare, financial services, and industrial operations. Some weeks look like backend engineering. Others look like consulting: running a working session with operators, figuring out what the data can actually support, and telling a VP what's realistic. If you've built an agent or RAG system that impressed people in a demo and then watched it stall before launch, this is the job where you get to finish it. What You'll Do • Sit in discovery with client stakeholders and turn loose business goals into scoped, buildable work, • Build LLM applications, agents, and retrieval systems in Python that hold up under real latency, cost, and security limits, • Connect models to the systems the client already runs: APIs, data warehouses, internal tools, and MCP servers where they fit, • Write evals before calling anything done, and use them to decide what to fix next, • Deploy on AWS, Azure, or GCP and own what happens after launch, • Some of the work is integration and cleanup. Better to say that now than surprise you later, • Explain trade-offs to technical and non-technical audiences, in writing and in the room, • Bring what you learn in the field back to the team so the next engagement starts further ahead Qualifications Engineering • 4+ years writing production software, with Python as a primary language, • Shipped at least one LLM-powered system to real users (agents, RAG, tool use, or structured extraction), • Comfortable with cloud deployment, APIs, and the unglamorous parts like auth, logging, and CI/CD, • Working knowledge of how to evaluate LLM output, beyond eyeballing it Client-Facing • Experience in a customer-facing technical role: consulting, solutions engineering, implementation, or a startup where you talked to users directly, • You can run a meeting, write a clear status update, and push back on a bad requirement Nice to Have • Experience with MCP, agent frameworks, or orchestration tooling, • Background in a regulated industry such as healthcare, finance, energy, or government, • You use AI tools daily in your own work and have opinions about which ones are worth it Why Join Us You'll work alongside engineers and strategists who've delivered AI across a lot of enterprise environments, so you won't be figuring out client work alone. Engagements are scoped around outcomes, not hours of busywork, and you'll have a team behind you that knows how to run them. New engagements open on a rolling basis. Apply once and we'll match you to the ones that fit your background. To apply, click Apply on LinkedIn

Applied Researcher 4 (AI Foundations - LLM, Optimization and Finetuning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You’ll Do: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals., • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings The Ideal Candidate: • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms, • Has a deep understanding of the foundations of AI methodologies, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes, • Experience in delivering libraries, platform level code or solution level code to existing products, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects Basic Qualifications: • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4 McLean, VA: $218,700 - $249,600 for Applied Researcher 4 New York, NY: $238,600 - $272,300 for Applied Researcher 4 San Jose, CA: $238,600 - $272,300 for Applied Researcher 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Position: Locksmith Technician We are seeking a skilled and experienced Locksmith Technician to join our team at Mayerexecutivesearchllc on a full-time basis. As a Locksmith Technician, you will be responsible for providing locksmith services to our clients, including installing, repairing, and maintaining various types of locks and security systems. Responsibilities: - Install, repair, and maintain locks and security systems for residential, commercial, and industrial properties - Cut and duplicate keys using specialized equipment - Troubleshoot and repair malfunctioning locks and security systems - Provide emergency lockout services for clients in need - Maintain accurate records of all services provided and materials used - Keep up-to-date with new lock and security system technologies and techniques - Provide excellent customer service and ensure client satisfaction at all times - Adhere to all safety procedures and protocols while on the job - Work independently or as part of a team to complete projects in a timely manner Requirements: - High school diploma or equivalent - Minimum of 2 years of experience as a Locksmith Technician - Knowledge of various types of locks and security systems - Familiarity with lock installation and repair tools and equipment - Ability to read and interpret blueprints and diagrams - Excellent problem-solving and troubleshooting skills - Strong customer service and communication skills - Ability to work flexible hours, including evenings and weekends, as needed - Clean driving record and valid driver's license - Must be able to pass a background check and drug test We offer competitive salary and benefits package, as well as opportunities for growth and advancement within our company. If you have a passion for locksmith work and a strong work ethic, we encourage you to apply for this position. Mayerexecutivesearchllc is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Join our team and become a valuable member of our locksmith services! Apply now.

Job Description Position: Locksmith Technician We are seeking a skilled and experienced Locksmith Technician to join our team at Mayerexecutivesearchllc on a full-time basis. As a Locksmith Technician, you will be responsible for providing locksmith services to our clients, including installing, repairing, and maintaining various types of locks and security systems. Responsibilities: • Install, repair, and maintain locks and security systems for residential, commercial, and industrial properties, • Cut and duplicate keys using specialized equipment, • Troubleshoot and repair malfunctioning locks and security systems, • Provide emergency lockout services for clients in need, • Maintain accurate records of all services provided and materials used, • Keep up-to-date with new lock and security system technologies and techniques, • Provide excellent customer service and ensure client satisfaction at all times, • Adhere to all safety procedures and protocols while on the job, • Work independently or as part of a team to complete projects in a timely manner Requirements: • High school diploma or equivalent, • Minimum of 2 years of experience as a Locksmith Technician, • Knowledge of various types of locks and security systems, • Familiarity with lock installation and repair tools and equipment, • Ability to read and interpret blueprints and diagrams, • Excellent problem-solving and troubleshooting skills, • Strong customer service and communication skills, • Ability to work flexible hours, including evenings and weekends, as needed, • Clean driving record and valid driver's license, • Must be able to pass a background check and drug test We offer competitive salary and benefits package, as well as opportunities for growth and advancement within our company. If you have a passion for locksmith work and a strong work ethic, we encourage you to apply for this position. Mayerexecutivesearchllc is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Join our team and become a valuable member of our locksmith services! Apply now.

Job DescriptionAbout US: Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private &public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems. Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)! Tryfacta is certified by the Joint Commission for Healthcare Staffing Services & has numerous ISO Certifications that capture our commitment to continuous improvement. Job Summary: Tryfacta is seeking a Licensed Practical Nurse for our client in Bronx, NY 10461-2723. This is a 105-week contract assignment. If you meet the qualifications listed below and are interested, please Apply Now! Position Title: Licensed Practical Nurse Location: Bronx, NY 10461-2723 Duration: 105 weeks Work Schedule: Day – 7:30 AM–4:00 PM Night – 11:45 PM–7:45 AM Evening – 3:55 PM–11:55 PM Pay rate: $35 - $38/hr on W2 Responsibilities for this position include, but are not limited to: • Medication administration and specimen collection;, • Attentiveness to patients' medical and other needs;, • Provision of nursing treatments;, • Gather patient measurements, signs and symptoms;, • Conduct building checks for safety hazards and ensuring patient safety;, • Crisis intervention;, • Complete documentation in patient electronic medical records, as well as staff communication logs and other required forms as needed;, • File patient record forms in the appropriate location within the record;, • Perform other job-related duties as assigned To be considered for this position, you should have: [Skills, Education, or Experience], • Valid New York State LPN license issued by the New York State Education Department., • Ability to work required weekday, weekend, and holiday shifts., • Ability to work independently and as part of a healthcare team., • Strong communication, clinical judgment, and patient-care skills., • Ability to comply with NYS OASAS and ATC policies., • Successful completion of all required background and screening processes., • Must be eligible to work in the United States and provide an I-9 for verification. Tryfacta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. Our client is seeking a strong C++ low latency developer to expand their highly successful, fully automated computerized trading franchise across asset classes. This is a hands-on position for the full development cycle, from requirements collection to final deployment and includes ongoing support for internal users. The successful candidate will work with an existing team of highly technical engineers to extend the functionality and performance of company’s sophisticated trading system that manages significant amounts of firms trading flow. Key Responsibilities • Design, develop and implement cutting edge market connectivity system, • Sitting alongside algo developers and traders to communicate varying needs, • Ensure order management is consistent with best execution practices, • Continuously work with colleagues and business leaders to advance each other’s skills Required skills • Current experience with C/C++, including familiarity with C++17 and templates, • Low latency coding, performance tuning, and debugging, • FIX & Binary Connectivity Protocols, • Proficiency in network protocols such as TCP & multicast, • FPGA experience a plus in terms of low-level understanding of how sockets work., • Experience with Market Data feed handlers, Client and Market Connectivity products, • Knowledge of investment management operations and trading execution solutions, • Experience developing on Linux, • Python scripting experience (or equivalent), • Strong communication skills a must Preferred Qualifications and Education : • Advanced degree in Mathematics or Computer Science (MSc/Ph.D.), • Team Player capable of developing industrial-strength software components, • Good experience analyzing and structuring large data sets., • Knowledge of trading and market microstructure

Job Description – The Commercial Assistant Property Manager will work closely with the Property Manager, Property Coordinator, and Engineering and Security teams to ensure the successful fiscal and real property management of an industrial portfolio. The primary responsibilities for the Commercial Assistant Property Manager will be actively participating in the preparation of the monthly and annual financial reporting packages, project managing above standard work for tenants including suite improvements and maintenance. Establishing and maintaining relationships with building vendors driving high quality work and service. Additional responsibilities for the Commercial Assistant Property Manager will include the following: Responsibilities Include: • Ensure scheduling of outside vendor/contractor repair and maintenance work in accordance with budget plan and maintenance calendar., • Oversight of on-site janitorial and landscaping staff to ensure completion of service requests and compliance with the contract specifications for janitorial and landscape services., • Provide assistance in all matters of security and life safety. Coordinate annual building fire and earthquake drills and assist in the development and on-going implementation of Floor Warden and Emergency Response Team Programs., • Along with the PM and Operations Manager, schedule testing of the building’s fire alarm systems and devices and work closely with outside service provider and Chief Engineer to ensure that necessary repairs are made as per each inspection., • Coordinate building maintenance and improvement projects under the direction of the SPM. Assist the PM in facilitating tenant improvement projects and work to be performed by outside contractors., • Perform monthly property inspections, complete inspection reports, and submit to PM. Independently coordinate associated repair and maintenance items in keeping with budgetary requirements., • Administer tenant move-in/outs in keeping with building policies and procedures. Coordinate services with tenant contacts and building service providers., • Oversee elevator services and work closely with elevator technicians to ensure timely completion of maintenance requests, obtain technical information from on-site elevator technician on entrapments or problems requiring incident reports and ensure completion of scheduled elevator repair and maintenance items with the support from the Operations Manager., • Review security Daily Activity and Incident Reports and work with the Security Site Supervisor to ensure professionally written and well-organized reports., • Ensure distribution of annual asbestos notices to building tenants per the building ACM plan., • Available out of business hours to provide support and direction at the property as needed., • Support PM in all aspects of property management., • Submit all outside contractor and vendor work estimates and proposals to PM for approval and work closely with Property Administrator to ensure creation and distribution of Purchase Orders., • Act as back-up to the Property Administrator as required in his/her absence. Positively and professionally respond to inquiries from walk-ins, tenants, and vendors. Answer incoming phone calls and route appropriately., • Manage recycling programs including educating the tenants on sustainable practices., • Develop and distribute tenant notices and building operations correspondence to tenant office managers as required., • Work with PA to ensure that Tenant and Vendor certificates of insurance are maintained and tracked., • Review and approve all Accounts Payable., • Responsible for collection and reporting on Accounts Receivable. This includes ensuring rent statements and work order billings are generated and mailed monthly, generating utility reimbursements and reporting to PM monthly until all rent is received. Follow up on rent collections and late charge billings, deposit rent checks, apply payments/monthly archive data received from the lock box and verify income deposited into accounting system including garage income if applicable., • Assist in preparing monthly operating reports by working with Property Accountant on the accruals of invoices, purchase orders, electricity billings and after-hours HVAC and also providing additional input on upcoming projected invoices to be paid as well as review and comment on the variance reports, OLR, occupancy and leasing reports and any other required reports that may be needed., • Assist in preparing quarterly reforecasts including but not limited to reviewing and commenting on capital and operating budgets, inputting and running the necessary Kardin, Yardi and Excel reports., • Responsible for lease administration under the direction of the SPM. Maintain updated information on lease analysis, documentation and promptly update records upon completion of executed lease renewals, amendments, and new leases., • Assist with preparing the annual capital and operating budget including but not limited to collecting vendor budgets, projecting costs, revenue projections and leasing assumptions., • At year-end and in spring, work with accounting and SPM in formulating Operating Expense estimates and reconciliations for tenant billing. Review and use Excel to compute the Operating Expense estimates and reconciliations for upcoming new year and prior year charges for each lease and compile letters to the tenants. The letter will show the estimated operating expenses against their base year and their actual operating expenses against what was estimated for the prior year and the resulting refund or charge for the reconciliation., • Assist in preparing the annual Strategic Asset Plan and budget presentation., • Responsible at all times for providing prompt and professional response to requests from building tenants and walk-ins., • Nurture and maintain relationships with long standing service providers at each of the properties. Develop and maintain positive rapport with new service providers acting with the highest level of integrity and professionalism and appropriately representing The Swig Company at all times., • Assist in the planning of tenant relations events in the building as directed by the SPM. Position Requirements • 3+ years in commercial property management, • Strong knowledge of finance and building operations with excellent communication skills., • Highly proficient in Microsoft Excel, Word, and Outlook, Yardi, MRI, Timberline, Building Engines, and other commercial real estate software programs., • Professional with exceptional problem solving and analytical skills., • Excellent customer service skills and ability to develop long term relationships with tenants. Education • Bachelor’s degree preferred, • Real Estate license preferred (required within 6 months of starting) Benefits • Medical, Dental, Vision, PTO and PST

The SVP, Business Development is a senior-level commercial leader responsible for leading a team of Business Development professionals to drive net-new customer revenue across the Northeast while contributing to broader SOCOTEC US revenue growth. The SVP also provides oversight of SOCOTEC USA’s national Proposal organization, providing strategic and operational leadership to ensure the Proposal function has the people, processes, tools, and operating disciplines necessary to support sustainable organic growth. The role partners closely with the COO and cross-functional leadership across Operations, Finance, Marketing, HR, IT, and the business units to establish scalable processes, tools, governance, and performance measures that strengthen SOCOTEC’s commercial capabilities. This is not an individual contributor commission-driven sales role. The position is designed to lead an organization of Business Development professionals in collaboration with seller-doer technical staff to ensure complete market coverage, promote cross selling of all services, grow share of wallet and drive a step change in organic revenue growth and commercial excellence. Key Responsibilities Team Leadership & Development • Build, lead, and mentor high-performing Business Development teams across regional offices with initial focus in the Northeast, • Partner with Operations leaders to maximize collaboration between technical delivery teams (seller-doers) and commercial staff, establishing a unified growth culture, • Ensure alignment between regional commercial teams and corporate strategy, • Design and implement variable compensation models that align BD staff efforts directly with corporate organic growth targets including revenue targets, cross-selling, customer retention goals Commercial Strategy Development and Transformation • Craft and implement a comprehensive commercial strategy that scales organic growth, expands market share and aligns with overall SOCUTEC US corporate objectivess., • Lead change management initiatives to align the culture toward customer-centric, data-driven, and commercially minded behaviors., • Monitor industry trends, competitive landscape, and market dynamics to identify emerging opportunities and potential threats. Gather market intelligence, conduct market research, and use data-driven insights to identify and evaluate new market opportunities, service lines and revenue streams., • Assess pricing trends and won-loss metrics to standardize pricing models with a view toward optimizing profitability and competitiveness. Revenue Generation and Market Execution • Drive net-new customer revenue and build an aggressive, qualified regional pipeline, • Institutionalize cross-selling and service bundling across SOCOTEC’s diverse service portfolio to unlock hidden revenue within existing client bases., • Build and manage senior relationships with key accounts, strategic clients, and industry partners across the AEC and industrial services sectors., • Support major contract negotiations and provide executive oversight for high-value, strategic pursuits., • Represent SOCOTEC in the market, building relationships with prospective clients, industry partners, and key stakeholders across the AEC, industrial services, and professional services sectors. Business Development Operations • Manage and report on the opportunity pipeline from first contact to win/loss, • Drive win-rate optimization by systematically improving proposal quality, client-centric positioning, and post-submission review loops., • Establish sales performance metrics, KPIs, and accountability frameworks, • Partner with marketing leader to enhance brand recognition and competitive positioning, • Act as senior business owner for the enterprise CRM, collaborating with IT to enforce data standards, governance, and high user adoption., • Develop executive dashboards and deliver actionable analytics regarding sales pipeline health, , win-loss trends, and revenue forecasting, • Champion the Net Promoter Score (NPS) and broader customer experience initiatives alongside Operations to capture data that drives client retention and repeat business, • Identify and advance high-value AI, automation, and process-improvement opportunities within commercial workflows, with an emphasis on measurable improvements in productivity, quality, and decision-making., • Standardize priority commercial processes and governance to improve consistency, visibility, accountability, and execution across business units. Leadership Excellence & Transformation • Drive commercial excellence initiatives that support sustainable organic growth and strengthen SOCOTEC’s overall commercial capabilities., • Lead and support change management initiatives that foster customer-centric, data-driven, and commercially minded behaviors across the organization., • Standardize priority commercial processes and governance to improve consistency, visibility, accountability, and execution across business units., • Promote collaboration and cross-selling across business units through improved processes, visibility, tools, and data., • Identify and advance high-value AI, automation, and process-improvement opportunities within commercial workflows, with an emphasis on measurable improvements in productivity, quality, and decision-making., • Provide commercial performance insights, market intelligence, and recommendations to the COO/CCO and business leadership to inform growth strategy and investment decisions. Proposal & Pursuit Leadership • In partnership with Marketing, provide executive leadership and strategic direction for SOCOTEC USA’s national Proposal organization, establishing priorities, performance expectations, and alignment with broader commercial objectives., • Partner with the Director of Proposals and Proposal leadership to ensure effective day-to-day operation, staffing, prioritization, and execution across the Proposal organization., • Establish national best practices for pursuit and proposal strategy, delivery, quality, continuous improvement, and performance reporting., • Improve proposal quality, consistency, efficiency, turnaround time, and win rates across the organization., • Support the development of processes and governance for complex proposals, estimates, and level-of-effort/fee calculations., • Identify opportunities to leverage AI, automation, and technology to increase Proposal team capacity, effectiveness, and speed. Qualifications • Bachelor’s degree required; advanced degree (MBA or related field) preferred., • 10+ years of progressive business development, commercial, or related leadership experience, ideally within Industrial Services, Professional Services or similarly relevant industries (Architecture, Engineering, Construction or Testing, Inspection, and Certification), • Significant experience leading business development, proposal, pursuit, or commercial teams, with demonstrated people leadership and executive presence., • Demonstrated success leading BD teams to drive net-new revenue generation, developing client relationships, and building market presence at a regional or company level., • Strong understanding of complex B2B business development and sales cycles, strategic pursuits, and proposal development., • Exceptional organizational, written, verbal, and presentation skills., • Strong business acumen with the ability to connect commercial strategy, client needs, operational capabilities, and financial performance., • Proficient in Microsoft Office Suite; familiarity with CRM platforms, such as Deltek Vantagepoint, strongly desirable., • Strategic and analytical mindset with the ability to balance hands-on business development and pursuit leadership with broader commercial priorities., • Demonstrated ability to influence and collaborate effectively across business units and functions., • Experience leading change, process improvement, technology adoption, or organizational transformation initiatives is highly desirable. Key Competencies • Executive presence and ability to influence across business units and functions, • Strategic business development and revenue-generation expertise, • Strong business acumen within the AEC, industrial services, or professional services sectors, • Commercial and proposal leadership, • Client relationship development and strategic account management, • Data-driven decision-making and comfort with CRM and commercial analytics, • Change management and organizational transformation, • Cross-functional collaboration and relationship building, • Strong communication, negotiation, and presentation skills, • Ability to operate effectively in a fast-paced, evolving organization Division: Northeast-focused Business Development Reports to: COO Location: New York, NY preferred or Boston, MA In office: 4 days per week. Travel: Approximately 20–30% to client sites, regional offices, and industry events. Base salary: $250,000-$275,000 + annual bonus eligibility.

Job Purpose The Industrial Engineer role is primarily responsible for company-wide continuous improvement initiatives. Key Responsibilities and Duties • Participates individually or on cross-functional teams focused on relentless continuous improvement and problem solving activities throughout the company. May require traveling to other locations., • Research, justify and implement cost saving projects that focus on safety, quality and sustainability., • Assist corporate Technical Services department with project creation and implementation., • Design, Integrate and maintain automated process data collection systems., • Design, Integrate and maintain automated alarming systems notifying the plant of down equipment., • Design, construct and install automation devices., • Responsible for continuous improvement initiatives in OEE, SMED, and sustainability., • Monitor equipment downtime and operator reports and lead Root Cause Analysis initiatives to eliminate downtime or equipment variation., • Assist with equipment troubleshooting, repair, installation, change-over, and PM as necessary., • Other duties as assigned. Experience, Educational and Technical Qualifications Preferred candidate has Associates degree in Technology, Electrical, Electronics, Electro-Mechanical or certification in a similar technical area. Must have excellent knowledge of SPC, plastics, electrical, electronic hydraulics, mechanical and pneumatic functions. Must have strong written and verbal communication skills and strong organizational and problem-solving skills. Must have and be able to demonstrate intermediate math skills. Must have ability to read blueprints and be able to use precision measuring/inspection equipment. Requires leadership and excellent interpersonal skills to provide training to team members and other department employees. #LI-BH1

Vanderweil Engineers is a nationally recognized, top-ranked engineering firm specializing in MEP/FP and technology services. For over 75 years, we've delivered innovative solutions across diverse sectors—including Science & Technology, Mission Critical, Academic, Healthcare, and Commercial. As one of the largest independently owned engineering firms in the U.S., our team of 500+ professionals operates from nine offices nationwide, bringing deep expertise and a commitment to excellence to every project. We offer growth and stability in an ever-changing volatile environment. Join us to do the best work of your career as an Electrical Engineer at our Newark, NJ office (Hybrid schedule - next to the train station). Expand your skillset and have a voice by working outside the box with the way we approach projects at Vanderweil. Responsibilities: • We are looking for someone who works well in a team environment and is willing to learn from others. Experience with Revit is an essential part of this role., • You will work as part of a project team to develop the project documents for large-scale, complex building projects, corroborate/coordinate with other design team members including Architect, Mechanical, Plumbing or Structural engineers to ensure electrical systems are integrated and coordinated with the project’s goals., • Serve as design engineer on a variety of projects from new construction to renovations from schematic design to construction. Project types include but are not limited to office buildings, labs, data centers, academic, high rise residential, hotels, health care, industrial, financial, government., • Be familiar with associated Codes and Standards applicable to the project., • Responsible for the design of power distribution, lighting, emergency and standby power supply in accordance with all applicable NEC codes and standards. Requirements: • 5+ years of related experience, • Bachelor’s degree in electrical engineering or equivalent experience, • Revit knowledge is a plus, • Familiarity with BIM coordination workflows and tools like Autodesk Construction Cloud and Navisworks., • Organizational and time-management abilities Flexible & Hybrid Culture Compensation range is $80,000 - $110,000 plus yearly bonus dependent on years of experience, licensure, education, and project portfolio. We know that work/life integration is important to our employees. Our hybrid work style (2 days remote per week) allows team members to have flexibility while building their skills through in-person exposure to industry experts. We prioritize wellness with programs that support physical and behavioral health, and we’re proud to foster an equitable and inclusive workplace. Learn more about our culture at _.

Princeton Critical Minerals (PCM) and its affiliate PureLi SpA develop technologies for lithium and critical-minerals recovery, with operations in the United States and Latin America. PCM's solutions, including Lilypad, SmartPond and E-LiTE, serve lithium brine, mining, oil & gas produced water and industrial water customers. Position overview The Business Operations & Development Manager is a hybrid commercial and operations role reporting to the Chief Operating Officer. Business development (about 45%) covers finding and qualifying new clients and partners, running the pipeline from first meeting to signed proposal, and winning non-dilutive funding. Business operations (about 55%) covers the contract and NDA lifecycle, CRM and systems, program management, logistics support, and executive reporting. The Manager takes a deal from first conversation through NDA, proposal, contract and delivery, and serves as the commercial right hand to the COO. The role works in English (Spanish a plus) with clients, partners, vendors and internal teams across the US and Latin America. Key responsibilities: Business development (~45%) Pipeline and client development (~20%) • Identifies, researches and qualifies prospects in lithium brine, mining, oil & gas produced water and industrial water., • Leads outreach and discovery meetings, asking the commercial questions that shape a deal: scale, cost per unit, coverage and timeline., • Owns the pipeline from lead to signed purchase order, setting next steps, following up and moving deals forward., • Builds and maintains relationships with client, partner and government-lab contacts in the US and Latin America. Proposals, pricing and deal support (~15%) • Leads proposals, statements of work and quotes for Lilypad, SmartPond and E-LiTE, working with technical leads on scope and pricing., • Manages the path from first meeting to contract: NDA, sample exchange and pilot terms, proposal, then agreement., • Prepares pitch decks, one-pagers and client presentations. Grants, partnerships and market presence (~10%) • Identifies funding opportunities (DOE, NSF SBIR/STTR, state programs) and leads grant applications., • Structures partnerships with national labs, universities and industry (NTAPs, CRADAs, collaboration agreements)., • Writes conference abstracts, represents PCM at industry events and maintains the event calendar., • Coordinates event marketing and LinkedIn content with branding, and identifies and applies for industry awards and recognition opportunities. Business operations (~55%) Contracts, NDAs and legal operations (~20%) • Owns the NDA/CDA lifecycle: sends templates, redlines, negotiates, routes for signature and files executed copies., • Maintains the NDA and agreement register with expiry and renewal alerts, and renews agreements before they lapse., • Serves as the day-to-day contact for outside counsel and keeps client, vendor and Spanish-language templates current., • Brings leadership clear decision requests on higher-risk clauses such as liability, IP ownership, term and arbitration. Systems, CRM and program management (~15%) • Administers Salesforce and Smartsheet: architecture, data standards, reports and user training., • Manages active programs (pilots, grant-funded projects, client deliveries) with milestones, owners and risk tracking., • Manages awarded grants, including deliverables, budgets and reporting deadlines. Manufacturing, logistics and vendors (~10%) • Oversees and supports the manufacturing and shipping portfolio alongside the Director of Manufacturing., • Coordinates international shipments with freight forwarders, customs agents and carriers (US, China, Latin America)., • Maintains the logistics tracker, vendor contact database and vendor contract register, and keeps SOPs current. Executive support (~10%) • Assembles board reports and pre-reads, and maintains company goals and KPIs., • Runs the weekly cross-functional priorities tracker for the COO and supports management meetings., • Covers handoffs when team members are on leave. Business development support Beyond owning deals directly, the Manager is the support engine behind the company's commercial work. Leadership and engineers lead the technical conversation; the Manager makes sure every meeting is prepared, every lead is logged and every follow-up happens on time. • Account research and meeting prep: One-page briefs before client meetings: company background, site and resource profile, decision makers, prior touchpoints, open agreements and suggested commercial questions., • Lead capture and qualification: Logs new contacts from events, inbound inquiries and referrals in Salesforce promptly, scores leads by fit (resource type, scale, budget, timeline) and flags top prospects to leadership., • Follow-up: Sends meeting recaps with agreed next steps within one business day, tracks owners and due dates, and secures internal inputs (pricing, technical data) so clients are not kept waiting., • Proposal library: Maintains standard scope language, pricing tables, case studies and team bios so first drafts are ready in days, not weeks., • Pricing and deal structure: Builds pricing models for pilots and service contracts (cost per unit, volume tiers, pilot-to-commercial terms) with technical and finance leads., • Sales collateral: Keeps pitch decks, one-pagers, capability statements and videos current in English and Spanish., • Pipeline reporting: Delivers a weekly pipeline snapshot (stage, value, next step, risk) to leadership and a quarterly summary for the board., • Events and market intelligence: Prepares event schedules and booth plans, and captures competitor, pricing and market signals from events and client calls. Qualifications Required • Bachelor's degree in business, engineering, chemistry or a related field., • 6+ years of combined experience in business development and business operations, including at least 3 years in B2B business development or technical sales at a technology, energy, mining or water company., • Proven track record of building pipeline and closing deals: prospecting, discovery, proposals, pricing and negotiation with enterprise clients., • Hands-on experience negotiating NDAs and commercial agreements and working with legal counsel., • Program management experience running several cross-functional projects at once., • Admin-level Salesforce skills; advanced Smartsheet and Excel., • Grant writing and grants management experience., • Full professional fluency in English, written and spoken., • Strong writing skills, with the ability to turn technical input into proposals, abstracts and board-ready material. Preferred • MBA or a technical master's degree., • Established network in lithium, critical minerals, oil & gas or water treatment, especially in Chile, Argentina or the US., • Experience selling pilots or technology-as-a-service to industrial clients., • Familiarity with Latin American business practice and import processes., • Experience with national lab agreements (NTAP, CRADA) or technology transfer., • PMP or an equivalent certification. Technical and systems experience • Business development: Account research, discovery, value-based pricing for pilots and service contracts, negotiation, long-cycle B2B pipeline management. Level: 3+ years, • Program management: Multiple cross-functional programs; milestones, owners and dependencies; risk tracking; status reporting to leadership and board. Level: 5+ years, • Salesforce: Objects, stages and fields; data loading and cleanup; pipeline reports and dashboards; user training. Level: Admin-level, 2+ years, • Smartsheet: Registers with expiry and renewal alerts; automations, reminders and shared views. Level: Advanced, • Contract review: NDAs, CDAs, MSAs and SOWs; liability, indemnity, IP, term, governing law and arbitration; escalation judgment. Level: 3+ years, • Grants: Applications (DOE, NSF SBIR/STTR, state programs) and post-award management of deliverables, budgets and reporting. Level: Submitted or awarded proposals, • Microsoft 365 / SharePoint: Document control, permissions, Teams and Loop. Level: Advanced, • Excel: Trackers, KPI sheets, databases, basic financial models. Level: Advanced, • Logistics and procurement: Incoterms, freight forwarders, customs documents, RFQs, vendor onboarding. Level: Working knowledge The ideal candidate The ideal candidate is a commercially minded operator who has sold technical B2B solutions and has also run the operations behind them, such as contracts, CRM, grants and programs. They thrive in a small, fast-moving company where they both open doors and handle the details that close the deal. • Commercial drive: generates pipeline independently, asks for the next step in every meeting and is comfortable discussing price and terms with enterprise buyers., • Technical fluency: understands enough chemistry and process engineering to present PCM's technologies credibly, and knows when to bring in engineers., • Contract judgment: spots risk in key clauses, proposes workable fallback positions and knows when to escalate to counsel., • Organization and follow-through: keeps many threads moving with clear owners and dates., • Relationship building: earns trust with clients, national labs, vendors and internal teams across cultures., • Discretion: handles confidential commercial, legal and board information with care., • Flexibility: comfortable with ambiguity and shifting priorities, and willing to travel to client sites, events and Latin American operations as needed. Typical backgrounds include business development manager at a deep-tech, cleantech or mining-services company; commercial or contracts manager in energy, oil & gas or water treatment; or business operations lead at a venture-backed industrial startup. Compensation & Benefits • Competitive salary based on experience, • Health, dental, and vision insurance, • Paid time off and holidays, • Opportunities for professional growth and advancement Equal opportunity PCM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other characteristic protected by law.

Job Description RN Infection Control Preventions The Riverside Rehab is looking to hire a Infection Control Preventionist to join their wonderful team. RN Infection Control Preventions Job Description: • Perform administrative duties such as completing medical forms, reports, evaluations, studies, charting, etc., as necessary, • Reports to DIrector of Nursing and help to develop, implement and evaluate annual infection prevention goals and action plan, • Partners with facility leaders, physicians, local, state, and national agencies on activities related to infection prevention, • Oversees the operations of the infection prevention, epidemiology, industrial hygiene, and relevant safety programs, • Accountable for surveillance of healthcare acquired and community acquired infections, • Maintain an ongoing quality assurance program for the nursing unit, • Develop methods for coordination of nursing services with other resident services to ensure the continuity of the residents total regimen of care, • Must possess the ability to make independent decisions when circumstances warrant such action., • Must possess the ability to deal tactfully with personnel, residents, family members, visitors, government agencies/personnel, and the general public., • Must be knowledgeable of nursing and medical practices and procedures, as well as laws, regulations, and guidelines that pertain to long-term care., • Must possess leadership and supervisory ability and the willingness to work harmoniously with and supervise other personnel. RN Infection Control Preventions Requirements/Qualifications: • Must have a current RN license for the state of practice., • 2 years of experience as a supervisor in a hospital, long-term care facility, or other related health care facility preferred, • Completion of post-secondary education and be able to read, write, and follow oral and written directions., • Must be capable of maintaining regular attendance as requires., • Related experience at a level necessary to accomplish this position., • Must be able to adjust to a flexible schedule to include evenings, nights and weekend work hours. Salary Range: $45-$50 an Hour (Based on Experience) (Salaried Employee) Benefits: • Highly competitive salary, • Insurance, • Fringe Benefits, • Employee Perks, • KinderCare Discount, • Plum Benefits (Discounted tickets to destinations and attractions) An Equal Opportunity Employer An Equal Opportunity Employer INDRN

Embedded Linux & Edge Platform Engineer Location: New York, NY Employment type: Full-time Work arrangement: In person at Harmoni’s NYC office Reporting to: Engineering Lead Compensation: $130,000 - $170,000 base salary, plus equity and benefits. About Harmoni Harmoni is a manufacturing technology company building a new kind of operating system for the factory floor. Our factory orchestration platform connects machines, people, materials, and data in one intelligent operating layer. By combining real-time information, workflows, automation, and AI, Harmoni helps manufacturers improve throughput, reliability, and on-time delivery. We are a growing, highly collaborative team based in New York, NY, and Akron, OH. We are venture-backed and recently raised our Series A to accelerate the growth of our platform and team. We operate with a flat structure, move quickly, and give people meaningful responsibility for their work. This is an opportunity to help build the embedded platform powering thousands of connected industrial devices and real-time systems deployed in advanced factories. The Role Harmoni is looking for a hands-on Embedded Linux & Edge Platform Engineer to help build the software and hardware platform powering our connected industrial devices. This role sits at the intersection of embedded Linux, edge computing, containerized applications, device infrastructure, and hardware integration. You will work across the device stack—from bootloaders, kernels, and operating-system images to containers, applications, hardware interfaces, secure deployment, and over-the-air updates. You will contribute to our Yocto- and BitBake-based Linux distribution, Docker application stack, OTA infrastructure, embedded hardware, and applications written in languages including C, Python, JavaScript, and TypeScript. This is not a narrowly scoped firmware or hardware-design position. We are looking for an engineer who understands the device as a complete system and can move comfortably between embedded Linux, containers, application code, hardware, networking, and device operations. You will work closely with Harmoni’s engineering team, co-founders, Product, and Deployment. You must be comfortable working independently, navigating unfamiliar problems, and contributing across multiple layers of the stack. What You’ll Work On Embedded Linux and Device Platform • Develop Harmoni’s embedded Linux platform using Yocto, BitBake, and related tooling., • Maintain recipes, layers, board support packages, system configuration, and build infrastructure., • Configure and troubleshoot U-Boot, kernels, kernel modules, and device trees., • Support ARM-based platforms, board revisions, and device configurations., • Improve system reliability, security, performance, boot time, and maintainability., • Diagnose issues across the operating system, hardware, containers, and applications. Containers, OTA, and Fleet Infrastructure • Build, deploy, and troubleshoot Docker containers in resource-constrained edge environments., • Improve container lifecycle management, networking, storage, logging, and recovery., • Help develop reliable deployment patterns for interdependent services on remote devices., • Contribute to Harmoni’s complex OTA and fleet-management infrastructure., • Improve updates for operating-system images, containers, applications, and configuration., • Design for intermittent connectivity, power interruption, failed updates, compatibility, and rollback., • Improve staged rollouts, device targeting, observability, diagnostics, and recovery. Systems and Application Development • Build software across Harmoni’s edge application stack., • Work in the language best suited to the problem, including C, Python, JavaScript, and TypeScript., • Develop system services, device agents, command-line tools, APIs, diagnostics, and automation., • Integrate applications with Linux services, containers, hardware, and cloud infrastructure., • Write maintainable, well-tested software across different parts of the stack. Hardware Design and Integration • Contribute to hardware design, prototyping, board bring-up, and validation., • Create or review schematics and PCB layouts using Altium Designer., • Support component selection, design reviews, testing, and production readiness., • Integrate ARM systems, accelerators, sensors, cameras, controllers, and industrial equipment., • Develop and troubleshoot SPI, UART, USB, Ethernet, GPIO, and other interfaces., • Diagnose problems using software tools, debuggers, logic analyzers, oscilloscopes, and other lab equipment., • Help integrate GPUs, TPUs, and other accelerators used for edge AI workloads. Reliability and Engineering Operations • Help build systems that operate reliably in demanding industrial environments., • Improve monitoring, logging, diagnostics, provisioning, and remote troubleshooting., • Contribute to secure boot, image signing, device identity, and credential management., • Improve build systems, CI/CD pipelines, automated testing, and release tooling., • Support deployments and investigate issues in customer environments., • Document platform architecture, development workflows, and operational procedures. What Success Looks Like In Your First 90 Days • You develop a strong understanding of Harmoni’s technology and device architecture., • You can build, configure, provision, update, and troubleshoot a Harmoni device., • You become familiar with our Yocto environment, container stack, and OTA architecture., • You contribute production-quality improvements and help resolve issues across the stack., • You establish productive relationships across Engineering, Product, and Deployment. Over Time • Harmoni can reliably deploy and operate thousands of connected industrial devices., • Device updates are safe, observable, and recoverable., • Engineers can build, test, and release device software efficiently., • Devices remain dependable through network failures, interrupted updates, and power loss., • The platform supports new hardware, applications, and AI workloads., • Field issues can be diagnosed and resolved remotely with minimal customer disruption. What We’re Looking For We do not expect candidates to have worked with every technology in our stack. We are looking for engineers with deep experience in several of these areas and the ability to learn the rest. • Five or more years of relevant experience in embedded Linux, embedded systems, edge computing, or device infrastructure., • Strong experience developing and debugging embedded Linux systems., • Experience with Yocto, BitBake, or comparable embedded Linux build systems., • Deep proficiency with Linux, shell scripting, and command-line tooling., • Practical experience with Docker and containerized applications., • Proficiency in one or more languages, including C, Python, JavaScript, or TypeScript., • Experience with ARM systems, bootloaders, kernels, device trees, or board support packages., • Familiarity with interfaces such as SPI, UART, USB, Ethernet, or GPIO., • Strong debugging skills across hardware, operating systems, containers, applications, and networks., • Experience building or supporting software deployed on physical devices., • Comfort working independently in a fast-moving environment., • Strong communication and collaboration skills., • Willingness and ability to work full-time in Harmoni’s New York City office. Bonus Points • Experience with Balena, openBalena, balenaOS, or a similar platform., • Experience developing OTA infrastructure for remote device fleets., • Experience with rollback-capable device updates., • Experience with hardware design, board bring-up, and validation., • Experience creating schematics or PCB layouts in Altium Designer., • Experience moving embedded hardware from prototype through production., • Experience with secure boot, TPMs, hardware identity, or image signing., • Experience operating large fleets of connected devices., • Experience with edge AI, computer vision, GPUs, TPUs, or NPUs., • Experience with manufacturing technology, robotics, automation, or control systems. You do not need to match every bonus qualification. If you bring strong embedded Linux fundamentals, hands-on systems experience, and the ability to learn quickly, we encourage you to apply. The Right Person for This Role You are a systems thinker, builder, and relentless debugger - not someone who wants to work within only one narrow layer of the stack. Words like Yocto, ARM, U-Boot, kernel modules, device trees, cross-compiling, secure boot, OTA, SPI, UART, and Docker bring you joy. You are as comfortable investigating a boot failure as you are debugging a container, tracing a hardware-interface problem, or writing a deployment tool. When something fails, you want to understand why - not simply restart it and move on. You understand that factory software has different requirements from software running in a data center. Devices lose power. Networks disappear. Updates fail halfway through. Hardware behaves unexpectedly. You design for those realities. You do not need to be an expert in everything we use. You bring deep knowledge in several areas, strong engineering fundamentals, and the curiosity to learn the rest. Most importantly, you want to help build the platform connecting physical equipment, intelligent software, and the factory of the future.