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Job Description Licensed Veterinary Technician working in Internal Medicine (IM) performing Dialysis must be able to perform at a high level of practice with minimal supervision. The role includes assisting internists with appointments, client communication, and collaborating with staff doctors to make daily assessments and procedures run smoothly and efficiently. The Internal Medicine & Dialysis LVT assists with dialysis catheter placement and urinary and scoping procedures. This role will also assist with running Dialysis and extracorporeal therapy treatments. The IM & Dialysis LVT is responsible for routine care and maintenance of the Dialysis suite, including inventory and machine maintenance. Duties and Responsibilities • Proficiency in technical skills including venipuncture, IV catheter placement, and monitoring vitals, • Understanding of IM dialysis procedures and set up, • Perform dialysis and extracorporeal therapy treatments on patients, • Manage anesthetic emergencies during procedures, • Support on-call dialysis and extracorporeal therapies, • Maintain sanitation and stocking of the Dialysis Suite and equipment, • Maintain an appropriate inventory of the Dialysis and IM Suite, • Provide routine care and maintenance of all Dialysis and IM equipment, • Work independently under the guidance of Internal Medicine Specialists, • Other duties as assignedMinimum Qualifications, • NYS veterinary technician's license, • One to two years of experience as an LVT in IM & Dialysis, • Demonstrated ability in quality clinical care, technical services, and teamwork, • Ability to work collaboratively in a fast-paced environment, multi-tasking while paying close attention to details, • Ability to work independently as well as in a team environment, demonstrating a high level of initiative, • High proficiency in patient handling and monitoring, supportive therapy, treatments, and procedures, • Ability to communicate professionally and effectively with clients, colleagues, and referring veterinariansEducation, • Associate or Bachelor's degree from an accredited AVMA college program in veterinary technologyExperience, • One to two years of experience as an LVT in IM & Dialysis, • Experience in cardiopulmonary resuscitation and stabilization of critical patients Our comprehensive benefits package includes: • Competitive salary, • Generous sign-on bonus, • Generous paid time off, • Tuition assistance, • 50% discount on veterinary care, • Mentorship through the VTS process, • Continuing education funds with rollover options, • NYS Licensing fee reimbursement, • Relocation reimbursement for qualified candidates who live outside the NYC metropolitan area, • 403b matching, • Comprehensive medical, dental, and vision coverage, • You may be eligible for The Public Loan Service Forgiveness Program as we are a 501(c)(3) nonprofit employerPay Range$30—$40 USD Excellence in veterinary medicine since 1910. AMC Offers: A Commitment to Lifelong Learning: Founded in 1910, the Schwarzman Animal Medical Center is the world's largest veterinary teaching hospital, offering compassionate, collaborative, and cutting-edge veterinary care. Our commitment to innovation has led to the creation of one of the most advanced veterinary facilities in the world. State-of-the-Art Facilities: AMC just completed a major expansion and renovation. This project transformed the hospital's entire 83,000-square-foot space into a state-of-the-art facility unlike any other. Highlights include: A brand-new full floor surgical center, 1.5 Tesla Philips MRI (the exclusive high field MRI for small animals in NYC), 64-slice spiral CT scanner, Electroencephalography (EEG), Elekta Versa HD Linear Accelerator, In-house Laboratory, Ultrasound, Echocardiogram, and Mobile Cone Beam CT A multidisciplinary team of 140+ veterinarians across 20+ specialties: With over 20 specialties and services under one roof, our departments frequently work together to deliver the highest quality of patient care in the veterinary field. Our dynamic array of specialists means that we are the go-to place for complex cases. A Hospital in the heart of NYC: AMC is located in Manhattan, surrounded by leading research and teaching institutions such as Cornell University College of Veterinary Medicine, Weill Cornell Medical School, and NYU. Collaborative research opportunities abound, and our strong focus on education ensures a rewarding career for those passionate about mentoring and advancing veterinary medicine.

Job DescriptionBenefits: • Health insurance, • Vision insurance, • Dental insurance Job Title: Commercial Refrigeration Technician - Day shift! Location: Brooklyn NY About the Company Join a fast-growing, well-funded nationwide meal delivery company that is transforming the way people eat. With 20+ facilities across the United States and $250M in recent funding, this company is scaling fast and building the team that will take them there. Their Brooklyn facility is a high-volume commercial kitchen operation producing chef-made, ready-to-eat meals at scale. This is a company with real momentum, a strong maintenance culture, and a genuine path to becoming a direct employee. This role is contract-to-hire — perform well and you convert directly onto their team. Overview We're seeking an experienced Commercial Refrigeration Technician to join the facilities/maintenance team at our Brooklyn facility. This role is core to keeping commercial refrigeration systems running reliably across a high-volume, fast-paced kitchen operation. You'll be joining a collaborative, cross-trained team that takes pride in their work and keeps a world-class food production operation running at peak performance. Schedule Day shift, 8:00 AM – 5:00 PM, Tuesday–Saturday. Responsibilities • Troubleshoot, repair, and maintain commercial refrigeration equipment including rooftop units (RTUs), chillers, condensers, evaporators, and walk-in refrigeration boxes, • Diagnose and repair issues with compressors, motors, belts, and pulleys, • Respond to refrigeration breakdowns quickly to minimize downtime in a fast-paced kitchen environment, • Maintain accurate records of service, parts usage, and equipment status, • Adhere to all safety protocols and regulations while on site, • Partner with the broader facilities/maintenance team on cross-functional repairs as needed — a plus, not requiredRequirements, • EPA Universal certification required, • Proven hands-on experience repairing commercial refrigeration systems — 3+ years, • Strong troubleshooting ability across compressors, motors, electrical/mechanical components, • Ability to read technical manuals, schematics, and diagrams, • Prior experience in a food production, commercial kitchen, or industrial/manufacturing environment strongly preferred, • Ability to stand for long periods, lift up to 50 lbs, and work in a physically demanding environment, • Team-oriented, proactive, responsive — strong culture fit, • Reliable commute to Brooklyn, NYNice to Have, • Interest/aptitude in learning conveyor systems and general kitchen equipment/appliance repair, • RMO License (Refrigeration Machine Operator) or in progress

As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Bank supporting One Chase Sales and Growth products, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. As a Lead Sof

The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning.

BS in Computer Science or related Engineering field with 6+ years of experience Or MS degree in Computer Science or related Engineering field with 4+ years experience. Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Solid groun

Job Description CNC MILL MACHINIST / SET UP - All Shifts -- Manufacturing/Machine Shop N.J. Precision Technologies, Inc. – Mountainside, NJ Job Description PLEASE READ BEFORE APPLYING: • MINIMUM 5 YEARS SET-UP EXPERIENCE - CNC MILLING or TURNING SET-UP EXPERIENCE REQUIRED, • FULL TIME : FIRST SHIFT, SECOND SHIFT, THIRD SHIFT, WEEKEND SHIFTS AVAILABLE, • ALL HAAS CNC MACHINES and Kitamura, • STRONG WORKING KNOWLEDGE OF SET-UP TECHNIQUES FOR PRODUCTION AND PROTOTYPE., • STRONG WORKING KNOWLEDGE OF CNC PROGRAMMING AND EDITING WITH G & M CODES OR PROGRAMMING SOFTWARE., • ABILITY TO SET-UP & OPERATE USING VICES OR SIMILAR TOOLING HARDWARE AND FIXTURES., • MUST HAVE EXPERIENCE INSPECTING PARTS AND READING MICROMETER , CALIPER, HEIGHT GAGE AND DIAL INDICATOR, • BLUEPRINT READING A MUST., • FAST PACED ENVIRONMENT. Summary Established, ISO-certified contract manufacturer seeking full-time, dedicated CNC MACHINIST for an ultra-high tech, All Haas CNC Mill department. Primarily working in the Aerospace and Medical device industries. Employees receive top pay and benefits, including medical, prescription, dental, vision, 401K with match, etc. Our modern, air-conditioned facility is located in Mountainside, N.J. Responsibilities • Performs SET UP, PROGRAM TEST, FIRST PIECE "PROVE-OUT" RUN, in-process inspections, and CNC of precision-machined parts., • Works with production and engineering teams to address and resolve production issues in CNC Milling., • Responsible for selecting correct tooling hardware and measurement equipment., • Responsible for ensuring that the machines are well maintained ., • Working in accordance with ISO requirements., • Must be able to work independently. Requirements • Education: High school diploma or GED., • Experience: Minimum 5 years CNC Machining / Milling experience in a machine shop or manufacturing environment., • Measurement and inspection skills a must., • Strong knowledge of Blueprint reading with GD&T required., • Working within the ISO 9001 quality standard required. Skills, Knowledge, Abilities • Must have a strong aptitude in mechanical blueprints and drawings, • Must have a working knowledge of CAD systems., • Must be very detail oriented., • Strong math skills., • Ability to follow process plans, routers and inspection plans., • Has a strong background with workplace safety, OSHA regulations., • Must be able to effectively communicate with employees of varying education levels., • Comfortable working with very tight , "tenths" tolerances., • Must be experienced in measuring tools such as micrometers, calipers, height gage, dial indicators. ------------------------------------------------------------ 1.0 JOB DESCRIPTION SUMMARY 1.1 This position establishes the authority, reporting relationships, tasks and duties with performance standards for the CNC Specialist. 2.0 JOB TITLE 2.1 CNC Specialist 3.0 REPORTING RELATIONSHIPS 3.1 The CNC Specialist reports to the CNC Manager. 4.0 REQUIREMENTS 4.1 Education Required: High School diploma or GED. Preferred: Vocational School Certificate / Associates degree in Mechanical, MFG, IND Engineering technology. 4.2 Licensing, Registration, and certification Required: None. Preferred: None. 4.3 Experience Required: A minimum of one year experience in CNC or tooling production. 4.4 Skills, Knowledge, Abilities 4.4.1 Must have strong math skills. 4.4.2 Ability to read and understand engineering drawings. 4.4.3 Must be able to effectively communicate with other employees of varying education levels. 4.5 Physical Requirements 4.5 The physical requirements are stressful with the majority of time spent standing working with machinery. This position requires manual dexterity of the hands and the normal bending and twisting associated with plant operations. Walking, turning the head and torso, reaching, grasping, bending, stooping, kneeling and flexing the arms, legs, wrists, and fingers and the ability to lift at least forty (40) pounds. Must be able to work in areas with moderate to high noise levels. Must be able to constantly kneel, squat, climb and have full bending abilities at the waist (touch the toes). The body senses of sight (not color blind), hearing (safety) is required. Good vision to read diagrams and business documents. Must be able to wear safety glasses and hearing protection for prolong periods of time. 4.6 Mental: Basic math skills, mechanical engineering understanding, blueprint reading, as well as reading, writing and spelling and the ability to communicate clearly and effectively in English. 5.0 WORKING CONDITIONS 5.1 The majority of the time (95%) will be spent in a non-smoking plant environment. Temperatures will remain consistent throughout the year. Noise levels will be high in the plant area and moderate in the office area. Work hours will be dependant upon the weekly production and shipping schedules. Work hours may be long when specific projects are due, therefore, some extended schedules will be necessary. 6.0 TASKS AND DUTIES 6.1 Responsible for the proper operation of the machines. 6.2 Responsible for performing the daily machine set up process – clean the machine, complete the set up the machine for the first job. 6.3 Responsible for producing high quality finished products in accordance with the customer’s requirements. 6.4 Responsible for completing the job within the allotted job budget dollars. 6.5 Completes the bead blasting process when necessary. 6.6 Responsible for the proper operation and maintenance of the machines. Ensures the machine is maintained on a preventative basis. 6.7 Responsible for the machine programming functions. 6.8 Responsible for performing a quality control check on all jobs. 6.9 Responsible for setting up the machines for optimized speed and performance. 6.10 Responsible for completing the work in a safe manner. 6.11 Responsible for ensuring the shop area is clean and organized. 6.12 Responsible for accurately recording the time spent against the appropriate job. 6.13 Responsible for completing the work in accordance with ISO 9000 standards. 6.14 Responsible for working closely with the Manager with the development and implementation of the agreed upon training plan and schedule. 6.15 Ensures personal adherence to the company policies and practices. 6.16 Performs any other duties as may be assigned by the Manager. 7.0 MEASUREMENTS OF PERFORMANCE 7.1 Ability to produce each job in accordance with the customer’s requirements. 7.2 Ability to produce each job in accordance with the allotted number of production hours and optimize. 7.3 Ability to set-up as per the plot/print/router/set-up sheets in a timely manner. 7.4 Ability to edit programs (G & Mo codes and/or Mastercam) for efficient and practical parts production. 7.5 Ability to transmit program from database to local PC and to machines. 7.6 Ability to account and record the hours spent per job. 7.7 Consistently maintains the work area in a clean, organized and professional manner – ie: clean floors, machines, tools secured, etc. 7.8 Ability to work with minimal supervision. 7.9 Ability to service and maintain the machines to eliminate/minimize machine downtime 7.10 Ability to adhere to the company’s policies and procedures. 7.11 Has demonstrated a working knowledge level of the standard operating procedures as defined by ISO 9000. 7.12 Ability to work within the company’s safety practices and procedures. 7.13 Ability to complete the assigned training schedule. ------------------------------------------------------------------------------------------ Company DescriptionNew Jersey Precision Technologies, Inc. is a high-tech Manufacturer located in Mountainside, New Jersey. We specialize in electrical discharge machining (EDM) and precision manufacturing of all mechanical components for the aerospace and medical device industries as well as tooling for the plastics industry and stamping industry. Our modern facility is fully climate controlled and utilizes more than 60 EDM and CNC machines. Our EDM & CNC departments are running 24 hours per day, 7 days per week. Our CNC Lathe, CNC Mill, Sinker EDM, Wire EDM & Small Hole Drilling EDM machines are state-of-the-art and the latest generation available. Our CNC Technicians and Electrical Discharge Machining technicians perform CNC Programming, CAD, Automated Set-ups and efficient production & prototype operations. NJPT believes in continual improvement programs including continual employee training programs. In addition to off sight custom training, in-house training and other learning methods, NJPT offers a complete tuition reimbursement program from those FULL-TIME individuals who may want to earn or complete a college degree. The NJPT FULL-TIME benefits package is outstanding with matching 401K retirment plan, profit sharing, Medical plan, Prescription plan, Dental & Optical plans, Credit Union, etc. NJPT is a US Department of Defense contractor and controlled by ITAR (International Traffic in Arms) government regulations to only hire citizens of the United States or those individuals with a US permanent resident green card. An equal opportunity employer, NJPT is committed to its employees and employee satisfaction. NJPT is a great place to work and a great place to grow. Please visit our Website: www.njpt.comNew Jersey Precision Technologies, Inc. is a high-tech Manufacturer located in Mountainside, New Jersey. We specialize in electrical discharge machining (EDM) and precision manufacturing of all mechanical components for the aerospace and medical device industries as well as tooling for the plastics industry and stamping industry. Our modern facility is fully climate controlled and utilizes more than 60 EDM and CNC machines. Our EDM & CNC departments are running 24 hours per day, 7 days per week. Our CNC Lathe, CNC Mill, Sinker EDM, Wire EDM & Small Hole Drilling EDM machines are state-of-the-art and the latest generation available. Our CNC Technicians and Electrical Discharge Machining technicians perform CNC Programming, CAD, Automated Set-ups and efficient production & prototype operations. NJPT believes in continual improvement programs including continual employee training programs. In addition to off sight custom training, in-house training and other learning methods, NJPT offers a complete tuition reimbursement program from those FULL-TIME individuals who may want to earn or complete a college degree. The NJPT FULL-TIME benefits package is outstanding with matching 401K retirment plan, profit sharing, Medical plan, Prescription plan, Dental & Optical plans, Credit Union, etc. NJPT is a US Department of Defense contractor and controlled by ITAR (International Traffic in Arms) government regulations to only hire citizens of the United States or those individuals with a US permanent resident green card. An equal opportunity employer, NJPT is committed to its employees and employee satisfaction. NJPT is a great place to work and a great place to grow. \r\nPlease visit our Website: www.njpt.com

Job DescriptionJob Title: Entry-Level Machine Operator Location: Bronx, NY Do you have an interest in learning machine operations? Are you comfortable using a calculator and working with basic math? This could be a great opportunity for you. We are seeking an Entry-Level Machine Operator to join our production team in the Bronx, NY. This role is perfect for someone who is mechanically inclined, eager to learn, and comfortable working with basic math and measurements in a fast-paced manufacturing environment. Job Description As an Entry-Level Machine Operator, you will learn how to operate both computerized and traditional machines to cut and process materials. You’ll be trained to read measurements, follow cutting plans, and ensure materials are processed accurately and efficiently. No advanced experience is required- just a willingness to learn, attention to detail, and basic math skills. Responsibilities • Operate saws and basic production machinery (training provided), • Measure materials accurately using rulers, tape measures, and calculators, • Perform basic math calculations (example: Length × Width × Height), • Follow instructions and cutting plans to process materials correctly, • Learn to read simple blueprints and measurement specifications, • Inspect materials to ensure accuracy and quality, • Maintain a clean and safe work area, • Assist with basic machine upkeep and maintenance, • Work with team members and supervisors to keep production running smoothly, • Adapt to changes in production needs throughout the shiftBasic Requirements, • Interest in learning machine operation and manufacturing processes, • Ability to use a calculator and perform basic math (fractions, measurements, geometry), • Comfortable measuring and working with dimensions, • Strong attention to detail, • Reliable attendance and punctuality, • Ability to work in a fast-paced environment, • Good communication skillsPreferred (Not Required), • Any prior experience in manufacturing, production, or warehouse work, • Experience using measuring tools or basic machineryWhy Work Here?, • Entry-level opportunity with hands-on training, • Build valuable skills in manufacturing and machine operation, • Supportive team environment focused on learning and growth, • Steady, consistent work in a production settingJob Type & Location This is a Contract to Hire position based out of Bronx, NY. Pay and Benefits The pay range for this position is $18.00 - $23.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Bronx,NY. Application Deadline This position is anticipated to close on Jul 27, 2026. About Aerotek Aerotek® Inc. provides staffing and services solutions in manufacturing, logistics, construction, aviation, facilities and maintenance. We provide the expertise, solutions and people required to rise to the challenges of North American industry. Headquartered in Hanover, Md., Aerotek operates a unified network of over 200 offices across North America, supporting more than 18,000 clients each year. Aerotek is an Allegis Group company, the global leader in workforce and business solutions. To learn more, visit: Aerotek.com | 1-888-AEROTEK. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing. Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments. Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey.This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making.The CDA

As a Lead Software Engineer, Cloud Platform at JPMorgan Chase within the Corporate Sector AI and Machine Learning Data Platforms team, you will play a key role in designing and delivering secure, high-quality technology solutions that support our data and analytics strategy. Demonstrated proficiency

Duties: Execute artificial intelligence (AI) and machine learning (ML) software solutions.Perform design, development, and technical troubleshooting to build solutions and break down technical problems.Create secure production applications and maintain AI algorithms that run synchronously with appro

Senior Lead AI Engineer, Gen AI Platform\n \n \n\n\n \n \n \n \n \n \n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n \n \n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n \n \n \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n \n \n \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n \n \n \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n \n \n \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n \n \n The Ideal Candidate: \n \n \n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n \n \n \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n \n \n \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n \n \n \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n \n \n \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n \n \n Basic Qualifications: \n \n \n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n \n \n Preferred Qualifications: \n \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n \n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n \n \n \n \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 Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\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).

Job DescriptionDescription: About US At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role In this leadership role reporting directly to the Chief Risk Officer, you will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to develop and implement credit risk models and AI-driven underwriting and credit decision processes, optimize strategies related to risk management, pricing, and business growth, and shape and enhance lending products and processes to ensure they are grounded in robust risk management principles, driving both innovation and stability. Responsibilities Credit Decisioning Model Development • Develop and implement advanced credit risk models (rule-based, heuristic, and machine learning) to support underwriting and portfolio management., • Automation of Customer Journey, Underwriting, and Credit Risk Framework., • Collaborate with technology, data engineering, and product teams to continuously optimize workflows. Risk Strategy Development • Design, execute, and monitor risk strategies across credit underwriting, credit limit assessments, pricing, and collections. Team Leadership & Development • Mentor and develop junior team members, fostering a high-performing credit risk team. Research and Publications • Contribute to in-house research by publishing articles and whitepapers on topics related to small business, AI, and macroeconomics.Requirements:, • Hands-on expertise in developing and implementing machine learning-based statistical models., • 10+ years of experience in banking or Fintech, specializing in Modeling for underwriting, fraud detection, risk management, or collections for either consumer or small business. Hands on Experience in Statistical Models such as Logistics regression, XGBoost, Decision trees, or other ensembles., • Proven track record in risk management within the fintech or financial services industry., • Strong understanding of fintech products, lending solutions, Embedded finance and industry regulations., • Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions., • 5+ years of experience in managing a high-performing risk management team., • Advanced analytical and data science skills to support decision-making and risk strategy optimization., • Exposure to LLM/Generative AI/Agentic AI is preferred Salary Range $160k-$190k

Job Description Fluent is seeking an Account Manager to join our growing account management team. In this role, you will use your performance marketing expertise , analytical, communication, and relationship-building skills, to provide superior client service, research, and market analysis. You will persistently explore and uncover the business needs of your clients, managing a large book of business while developing comprehensive strategies that drive revenue growth and long-term partnership success. If you're a self-motivated, results-driven marketer who thrives in a fast-paced environment and knows how to turn data into client wins, this is the role where you'll thrive. What You'll Do: • Rapidly gain a thorough understanding of Fluent’s inventory offerings, reporting analysis, competitive advantages, resources, and processes and articulate them persuasively to new and existing clients, • Manage large book of business, and maintain strong relationships with new and existing advertisers, to successfully meet and exceed client performance expectations and ensure long-term success, • Monitor client budgets, with a focus on increasing marketing budgets or spends / Prepare and present formal business reviews to top clients, • Serve as lead for all communication with client, including onboarding, performance feedback, creative changes, pacing reports, performance reports, client meetings, campaign recommendations, comprehensive strategy to enable revenue growth, etc., • In partnership with Account Director, identify, create, and implement solutions grounded on achieving measurable business results for our clients. Serve as external product consultant educating clients and agencies on ad solutions and best practices, and ultimately grow business partnerships, • Understand client’s key performance indicators, and clearly communicate these metrics internally for optimization, • Proactively introduce new revenue driving opportunities, • Manage the onboarding process for the product - flow of campaign builds with sales, creative design with media team, and tracking requirements with Ops team, • Work closely with teams internally to provide continued feedback and analysis, optimization suggestions and recommendations, • Formulate plans to extend new business, and additional channel distribution with established accounts, • Responsible for overseeing monthly billable numbers to finance for invoicing Requirements • 3-5 years of relevant experience managing a book of business within digital performance marketing, • Experience in the digital performance space, • Extremely organized and meticulous, as you will manage many campaigns simultaneously, • Exceptional communicator, • Attentive to client budgets, spend targets, conscientious of revenue pacing, experienced in exercising sales skills, • Excellent math/analytical skills, • High proficiency in Excel, ability to use functions to analyze complex data sets, • Proficiency in utilizing industry tracking software, • Excellent writing skills, • Self-motivated/ self – starter mentality, • Management experience preferred About Us Fluent, Inc. (NASDAQ: FLNT) is a commerce media solutions provider connecting top-tier brands with highly engaged consumers. Leveraging diverse ad inventory, robust first-party data, and proprietary machine learning, Fluent unlocks additional revenue streams for partners and empowers advertisers to acquire their most valuable customers at scale. Founded in 2010, Fluent uses its deep expertise in performance marketing to drive monetization and increase engagement at key touchpoints across the customer journey. For more insights visit:https://www.fluentco.com/ Benefits At Fluent, we like what we do, and we like who we do it with. Our team is a tight-knit crew of go-getters; we love to celebrate our successes! In addition, we offer a fully stocked kitchen, catered breakfast and lunch, and our office manager keeps the calendar stocked with activity-filled events. When we are not eating, working out, or planning parties, Fluent folks can be found participating in recreational sports leagues, networking with She Runs It, and bonding with across teams during quarterly outings to baseball games, fancy dinners, and pizza-making classes. And we have all the practical benefits, too… • Competitive compensation, • Ample career and professional growth opportunities, • Health, dental, and vision insurance, • Pre-tax savings plans and transit/parking programs, • 401K with competitive employer match, • Volunteer and philanthropic activities throughout the year, • Educational and social events, • The amazing opportunity to work for a high-flying performance marketing company! Salary Range: $70,000 to $80,000 - The base salary range represents the low and high end of the Fluent salary range for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. Candidates may be at risk of targeting by malicious actors seeking personal information. Fluent recruiters will only reach out via LinkedIn or email with an @fluentco.com domain. Any outreach by Fluent via other sources (e.g. text, other domains etc) should be ignored. Fluent participates in the E-Verify Program. As a participating employer, Fluent, LLC will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Fluent, LLC follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC). The OSC enforces the anti-discrimination provision (§ 274B) of the Immigration and Nationality Act (INA), 8 U.S.C. § 1324b.

Job DescriptionDescription: At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we are here to make that happen. That is why we are dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we are more than just another FinTech company. We are a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that is why we value a culture that is inclusive and supportive. We are looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role The role drives credit policy and strategy to optimize loss rates while balancing the growth, and reports to the Chief Credit Risk Officer. You will oversee a team of high-performing Risk and Data Science Analysts, both onshore and offshore, to translate credit risk ML/AI models into actionable credit risk policies, guardrails, and business strategies. You will own the strategic decisioning layers for underwriting, pricing, and limit calculations. to leverage and consume credit risk ML and AI models to build and improve credit decision processes, policies, frameworks andcredit riskrelated to underwriting, pricing and limit/capacity calculations. You will ensure the credit policies are grounded in robust risk management principles, driving both innovation and stability. Responsibilities Credit Risk Strategy Development · Design, execute, and monitor risk strategies across credit underwriting, credit limit assessments, pricing, and loss mitigation. · Design and implement the decision logic for the automation of the Customer Journey, Underwriting cutoffs, and Credit Risk Frameworks.Collaborate with technology, data engineering, and product teams to continuously optimize workflows. Credit Decisioning Analytics and Models · Develop key analytical frameworks and structures to drive data driven credit risk strategies across the portfolio lifecycle · Define the performance benchmarks for credit models and decide how model outputs are integrated into actual policy changes, cutoff strategies, and swap-set logic · Evaluate new data sources and new data features to drive models and rules improvements that improve underwriting and delinquency management. Team Leadership & Development · Mentor and develop junior team members, fostering a high-performing credit risk team. · Foster a collaborative and inclusive team culture that encourages creativity, critical thinking, and continuous learning. · Define team goals, priorities, and performance metrics aligned with the company's strategic objectives. Requirements: Must Have · 8+ years of experience in banking or Fintech, in advanced analytical and data science skills to drive decision making and risk strategy optimization for either consumer or small business. · 5+ years of experience in Risk First Line of Defense, in acquisition and underwriting risk strategy, and limit (or line) management. · 3+ years of experience in managing a high-performing risk management team. · 3+ years of close collaboration with key stakeholders, including executives, business leaders, and external partners, to understand business requirements, communicate insights, and influence decision-making · Exceptional analytical and problem-solving skills with the ability to evaluate complex scenarios and drive data-driven decisions. · Proven track record of working with data science teams and consuming credit models like probability of default (pD) model, limit assignment model, etc. into decision making. · Ability to query and analyze data from internal databases using SQL or Python · Strong conceptual understanding of statistical and machine learning models (XGBoost, Decision Trees) with an emphasis on how model drift and population shifts affect business KPIs and loss curves. Good to Have · Exposure to lending to small-business is preferred · Exposure to Generative AI/Agentic AI is preferred · Familiarity with regulations and compliance in credit and lending industry

Senior Lead AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n\n \n\n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n\n \n\n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n\n \n\n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n\n \n\n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n\n \n\n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n\n \n\n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n\n \n\n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n\n \n\n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \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: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\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).

Sr. Lead Machine Learning Engineer\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 3 years of experience building, scaling, and optimizing ML systems \n • \n At least 2 years of experience leading teams developing ML solutions \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost \n • \n 3+ years of experience developing performant, resilient, and maintainable code \n • \n 3+ years of experience with data gathering and preparation for ML models \n • \n 3+ years of people management experience \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n Ability to communicate complex technical concepts clearly to a variety of audiences \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \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 McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer\n \n Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\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).

Job DescriptionDescription: Junior Funding Specialist About Us At Biz2Credit, we look for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully-configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About this Role The Junior Funding Specialist plays a vital role within our sales organization, partnering closely with Funding Specialists to drive growth and help small business owners secure the financing they need. This position is designed for a motivated, team-oriented individual who thrives on collaboration, organization, and proactive communication. As a Junior Funding Specialist, you’ll serve as the right hand to our Funding Specialists—helping manage pipelines, support client outreach, prepare proposals, and ensure that every prospect and partner receives an exceptional experience from first contact to funding. You’ll also gain hands-on exposure to the business lending process, including products like Working Capital, Term Loans, Lines of Credit, ERTC Loans, and SBA 7(a) Loans. This is an ideal role for someone looking to build a career in financial sales while developing strong client service and consultative skills in a fast-paced, team-driven environment. Key Responsibilities Sales Support & Coordination Work alongside Funding Specialists to manage daily tasks, track client progress, and ensure deals move efficiently through the sales pipeline. Client Outreach & Follow-Up Assist with initial outreach, follow-up calls, and emails to prospects and partners to maintain engagement and momentum throughout the funding process. Pipeline & CRM Management Maintain accurate records of client communications, applications, and deal statuses in the CRM system; ensure data integrity and timely updates. Proposal Preparation Support the creation and delivery of funding proposals, including gathering required documentation and ensuring terms and product details are clearly communicated. Cross-Team Collaboration Partner with internal teams such as underwriting, credit, and legal to ensure smooth coordination and timely deal progression. Product Familiarity Develop and maintain an understanding of the company’s full suite of lending products—including MCA, Working Capital, Term Loans, Lines of Credit, ERTC, and SBA programs—to confidently support client conversations. Client Experience Ensure every client receives prompt, professional communication and a seamless experience from first touch to funding. Sales Enablement Help identify new opportunities and share feedback with Funding Specialists to optimize sales strategies and improve conversion rates. Reporting Assist in preparing weekly sales reports, performance updates, and activity summaries to help track team progress and goals. Requirements: • 0-1 years of experience in a sales, customer service, or administrative support role (financial services experience preferred)., • Excellent communication and organizational skills., • Strong attention to detail with the ability to manage multiple priorities., • Comfortable working in a fast-paced, team-oriented environment., • Proficiency with CRM systems and Microsoft Office (Excel, Outlook, Word)., • Eagerness to learn and grow within the financial services and lending space. What You’ll Gain • Hands-on exposure to business lending and financial sales., • Mentorship from experienced Funding Specialists and sales leaders., • Growth opportunities within a rapidly expanding FinTech organization., • A collaborative, high-energy work environment that values initiative and teamwork.

Job Description Company: Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.Overview: ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop). Key Responsibilities: • Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies., • Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategiesQualifications:, • 3-7 years of experience in a Quant Research, • Experience at a top buy side firm, or equivalent experience, • Practical use of ML models in production., • PhD level Math/Statistics skills, • Collaborative and patient nature #LI-NB1

Job Description Company: Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.Overview: ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop). Key Responsibilities: • Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies., • Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategiesQualifications:, • 3-7 years of experience in a Quant Research, • Experience at a top buy side firm, or equivalent experience, • Practical use of ML models in production., • PhD level Math/Statistics skills, • Collaborative and patient nature #LI-NB1

Job DescriptionFollow your passion Are you ready to lead the next chapter of educational excellence? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. We currently operate multiple elementary and middle schools across the Bronx, Upper Manhattan, and Queens, and continue to grow - opening 1–2 new schools each year, because children in every community deserve excellent, equitable education. As part of this organizational expansion, we are also preparing to welcome our first-ever Zeta High School class of 9th graders in the 2026-27 school year, a milestone that marks the next chapter in our mission to provide a world-class, PreK-12 pathway. Join our growing team today and be a change agent for children. Deliver powerful results To achieve our vision, we are searching for Principals in Residence with a Bachelor's degree and 3 or more years of experience leading teams to excellent student outcomes, and who are fueled by a passion for their team's success and continual improvement. Responsibilities: • Build a joyful, safe, and intellectually rigorous school culture that unites leaders, teachers, staff, students, and families around a shared vision of excellence., • Foster authentic and trusting relationships with staff, students, and families, creating a strong foundation for collaboration, belonging, and student success., • Uphold and model the highest standards of instructional excellence, ensuring strong content knowledge, purposeful planning, and high-quality implementation across classrooms., • Lead academic outcomes using a data-driven, results-oriented approach, monitoring progress across grade levels and content areas to ensure all students meet ambitious goals., • Coach, develop, and inspire teaching teams to deliver exceptional instruction, strong social-emotional learning, and effective classroom culture and management., • Analyze academic, cultural, and behavioral data across teaching teams, identifying trends and executing strategic action plans that leverage school leaders, teachers, and families to accelerate student growth., • Model a culture of problem-solving, ownership, and unwavering commitment to student achievement, setting the tone for excellence within the school leadership team., • Contribute as a key member of the school's leadership team, shaping systems, routines, and structures that drive high-quality execution and long-term success.Join our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for immediate start dates for the current school year. The salary range for this position is between $100,000 and $135,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience in school leadership and internal equity. Compensation is based on our salary scales. This position is eligible to receive an annual discretionary, merit-based performance bonus. Zeta offers a relocation reimbursement of up to $2,500 for eligible staff relocating to join our school community. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. Currently, we operate multiple elementary and middle schools in the Bronx, Upper Manhattan, and Queens. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children. Our Network office is located at 401 W 218th St., New York, NY 10034. However, this position is mostly located in the Bronx and Upper Manhattan, in-person. Increased flexibility will be required for this role as in-person community outreach and engagement is a key component of the Family Outreach & Enrollment team, but there may be potential for some remote work based on the scope of responsibilities. Deliver powerful results To achieve our vision, we are searching for a bilingual Family Outreach & Enrollment Associate/Manager with a Bachelor's Degree and experience in sales or customer service (preferably working with families in an educational or social services setting) with a proven record of building and maintaining strong relationships with customers or external audiences. • Bilingual proficiency in English and Spanish is required., • Candidates must be comfortable working in-person in the Bronx and Upper Manhattan (Inwood, Washington Heights)., • The ideal candidate will demonstrate strong communication skills (verbal and written), a results-driven track record, and proficiency in managing and analyzing spreadsheets., • Proficiency with the Google Suite is required., • The position title will be commensurate with candidate experience. As a member of Zeta's Family Outreach team, you will: • Develop and implement strategies to engage with prospective families in our communities, • Coordinate and lead on the ground outreach efforts directly in the community to share information about Zeta in person, • Build and maintain relationships with community-based organizations, • Plan and execute engagement events for prospective families, • Support with Zeta's random admissions lottery and enrollment processes, • Draft and distribute written communications to diverse stakeholder groups, • Collect and analyze data to optimize outreach strategy and tactics, • Wear multiple hats as a part of a scale-up team, supporting the work of others on the team and taking on new projects and tasks as needed Note: Engaging with families about Zeta's world-class educational program involves participating in regular community outreach shifts, which typically require extended periods of walking, standing, and the ability to lift up to 25 lbs. Join our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for an immediate opening. The salary range for this position is between $66,500 and $85,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience and internal equity. Compensation is based on our salary scales. We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (Gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace, and a free Headspace subscription, • MacBook Air, and specified monthly reimbursement for use of mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job Description About Us: Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: We are seeking a Quantitative Trader with 1–3 years of experience to help build and scale a systematic trading business. This role combines quantitative research, strategy development and live trading. The position offers meaningful ownership, direct impact on trading performance, and a path to increased risk-taking responsibility. Job Responsibilities: • Develop, implement, and optimize systematic trading strategies, • Conduct quantitative research using statistical and/or machine learning techniques, • Analyze large datasets to identify alpha signals and trading opportunities, • Collaborate with engineering to improve trading infrastructure and execution, • Monitor live strategies, manage risk, and adjust models in real time, • Evaluate performance and continuously refine strategies based on results, • Contribute to building a scalable trading platform and process Requirements: • 1–3 years of experience in quantitative trading, research, or a related field, • Strong programming skills (Python required; C++/Java a plus), • Solid understanding of market structure and execution, • Experience with statistical modeling, time series analysis, or machine learning, • Strong analytical and problem-solving skills with high attention to detail, • Ability to operate effectively in a fast-paced, performance-driven environment, • Active SIE and Series 57 licenses preferred, but not required. Benefits: • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care Options, • Employer Paid Group Term Life and AD&D insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible Vacation policy, • Retirement plan with employer match DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees. The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading's discretion) and DV Trading's benefits package, including the benefits listed above. Base Salary Range$100,000—$200,000 USD

Job DescriptionFollow your passion Are you ready to lead the next chapter of educational excellence? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. We currently operate multiple elementary and middle schools across the Bronx, Upper Manhattan, and Queens, and continue to grow - opening 1–2 new schools each year, because children in every community deserve excellent, equitable education. As part of this organizational expansion, we are also preparing to welcome our first-ever Zeta High School class of 9th graders in the 2026-27 school year, a milestone that marks the next chapter in our mission to provide a world-class, PreK-12 pathway. Join our growing team today and be a change agent for children. Deliver powerful results To achieve our vision, we are searching for Middle School History Teachers with a Bachelor's degree and at least 1-2+ years of lead teaching experience (NY certification preferred), with a proven record of propelling extraordinary student growth. Responsibilities: • Plan inquiry-driven, academically rigorous History lessons that spark curiosity, deepen understanding, and empower all students to engage meaningfully with learning., • Build a vibrant, inclusive classroom culture that nurtures a genuine love of learning and strengthens the sense of community among students and families., • Internalize and deeply master Zeta's academic and social-emotional curriculum, developing the skills and knowledge to deliver exceptional instruction each day., • Champion Zeta's ambitious academic goals—including ensuring that 90%+ of students achieve on or above grade level in History—and work relentlessly to help every student reach those outcomes., • Utilize data, student work, and research-based resources to drive student achievement and continuously refine your teaching practice., • Develop strong, authentic relationships with students and families to support each child's academic growth and personal development., • Collaborate closely with colleagues and engage in weekly professional learning, embracing coaching and feedback as you grow into a highly effective educator.Join our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for the 2026–2027 school year, with a start date of July 27, 2026. The salary range for this position is between $66,500 and $115,500. New hires can expect to be brought into the organization at a salary closer to the beginning of the range, depending on relevant experience, certification status, and internal equity. Compensation is based on our salary scales. Zeta offers a relocation reimbursement of up to $2,500 for eligible Teachers relocating to join our school community. How does Zeta invest in you? We offer great benefits: • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Competitive compensation We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.). #ZR

Job DescriptionFollow your passion Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission. We currently operate multiple elementary and middle schools across the Bronx, Upper Manhattan, and Queens, and continue to grow - opening 1–2 new schools each year, because children in every community deserve excellent, equitable education. As part of this organizational expansion, we are also preparing to welcome our first-ever Zeta High School class of 9th graders in the 2026-27 school year, a milestone that marks the next chapter in our mission to provide a world-class, PreK-12 pathway. Join our growing team today and be a change agent for children. Deliver powerful results To achieve our vision, we are searching for SETSS Teachers (Special Education Support Services Teachers) with a Bachelor's degree and at least 1-2+ years of lead teaching experience (NY Special Education certification required), with a proven track record of accelerating student growth. In particular, we are in search of SETSS Teacher candidates that have demonstrated a talent and passion for working with students with Special Education designations. Responsibilities: • Plan and revise lessons for small group and push-in instruction that align with IEP goals and Common Core Standards, • Provide homeroom teachers and families with differentiated learning strategies to support academic and social-emotional growth, • Create organized systems to track data and progress monitor individual learning goals in accordance with each student's IEP or 504, • Proactively and effectively communicate with homeroom teachers and service providers to ensure students have what they need to be successful at all times, • Prepare data-driven reports in preparation for meetings pertaining to students' individual needs, • Build a classroom culture that fosters students' genuine love for learning and creates a sense of community for our families, • Internalize and deeply understand Zeta's academic content and social-emotional curriculum, • Collaborate with colleagues and participate in weekly professional development opportunities with leaders and colleagues to benefit from feedback that will help you grow as an educator Join our purpose-driven community Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta: • We are passionate about our mission of providing world-class education to all students, • We bring a mindset of growth, flexibility, and openness to feedback, • We are hungry and determined to not only meet our goals, but surpass them, • We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment, • We have a high bar for excellence and sweat over the details, • We are caring and put team over individual at all times We are hiring for the 2026–2027 school year, with a start date of July 27, 2026. The salary range for this position is between $66,500 and $115,500. New hires can expect to be brought into the organization at a salary closer to the beginning of the range, depending on relevant experience, certification status, and internal equity. Compensation is based on our salary scales. Zeta offers a relocation reimbursement of up to $2,500 for eligible staff relocating to join our school community. How does Zeta invest in you? We offer great benefits: • Competitive compensation, • Comprehensive and affordable medical, dental, and vision plans, • Flexible spending accounts for eligible medical purchases and commuter expenses, • Lifestyle savings account, providing a monthly reimbursement for eligible fitness and emotional health expenses, • Free Talkspace therapy and psychiatry services, • 403(b) retirement plan; Zeta offers matching contributions toward your savings, • Free student loan counseling We provide awesome perks: • Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!), • 4 live therapy sessions per month through Talkspace and free Headspace subscription, • MacBook Air and specified monthly reimbursement for use of a mobile phone, • Fully stocked teacher workrooms with favorite snacks and Nespresso machine, • Zeta swag, team outings, and NYC's finest sweet treats, • Books for professional development We care deeply about your personal and professional growth: • Clear pathway to professional growth, • Consistent feedback and support from managers and teammates, • Community Circle practice to build and strengthen our sense of team, • Interactive Mindfulness and DEIJ programmingApply Now! Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Job Description Required experience & education: • Master's or Ph.D. in a related field, • 4+ years of experience as a Data Scientist, • 4+ years experience developing and deploying predictive ML models., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Proficiency in data manipulation, feature engineering, and model evaluation., • ML / Predictive Modeling Experience building predictive models (regression, classification, clustering, forecasting)., • Experience with SQL, • Experience working with Cloud Platforms (GCP, AWS, Azure), • Experience working with Data Warehouses (BigQuery, Snowflake, Redshift), • Working experience with LLMs / AI APIs, • Experience using Git / GitHub

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Automated CS Planning PhDs & Domain Experts — Zion (Arches) Type: Contract Compensation: $55–$80/hour Location: Remote Role Responsibilities • Develop high-quality data for state-of-the-art large language models by creating complex problems in your domain., • Evaluate and improve AI model performance through rigorous problem-solving and data analysis., • Collaborate with AI research teams to enhance the quality and applicability of training data., • Work independently and asynchronously to meet project deadlines and goals., • Provide expert insights into automated planning and symbolic AI to inform future AI innovations. Qualifications Must-Have • PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research., • Focus on automated planning / symbolic AI., • High attention to detail., • Exceptional written and verbal communication skills. Interview Process • Complete a short interview and task (20–30 mins)., • Paid for up to 1 hour of onboarding time including videos if hired. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Develop and integrate components for creating an operational information and knowledge discovery system. Requirements • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines., • Proficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information. Benefits We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Assistant must have a solid foundation as a veterinary assistant with exceptional knowledge and skill, working as part of the Internal Medicine team to continue to provide extremely high standards of veterinary care. Qualifications: • Minimum of two years veterinary assistant experience in a Veterinary Specialty Hospital preferred., • Ability to work collaboratively in a fast-paced, demanding environment, demonstrating the ability to handle multiple tasks with competing deadlines while paying attention to details., • Ability to work independently and use initiative but also able to work as part of a team., • Must be experienced and proficient in handling, a clear communicator and efficient in the supportive Veterinary assistant role during procedures., • Must be proficient in handling sensitive instruments and equipment., • Must be able to lift 50 pounds., • Must be able to work well and be composed in stressful situations., • Must be able to follow detailed protocols, • Must be organized and able to complete documentation in the Electronic Medical Record. Skills and Responsibilities:, • Restrain patients for routine examinations, IV catheter placement, blood draws, induction and recovery, • Infection control: cleaning and disinfecting of work areas, instruments, equipment and cages., • Place daily central supply order, including special outside orders, • Weekly checks for expired medications, • Work with LVT to complete anesthesia machine maintenance checklist twice weekly, • Set up for simple procedures in Endoscopy, Dialysis, Treatment Room and surgery prep., • Along with LVT, set up for complex procedures, including those involving fluoroscopy., • Coordinate with IM LVT's for procedure set up and timing, • Assist doctors during procedures (scopes, foreign body retrievals) as needed by DVM, within the parameters of the law., • Clean equipment after procedures and turn over room in preparation for next procedure, • Clean/sterilize and maintain equipment (Automatic Endoscope Processor, Microscope, Endoscopes, lead gowns)., • Clean workspace at the end of the day: take out trash and recyclables, replace sharp containers, • Maintain supply of clean laundry, dirty laundry to housekeeping as needed, • Assist in the cleaning/maintenance of the dialysis room as needed., • Along with LVT's troubleshoot equipment problems, • Operate Cone Beam CT and Fluoro unit, • Set CO2, and diode laser, • Set up endoscopy laser in Surgery as needed, • Work with Team Leader/Manager to schedule PM's, • Work with Team Leader/Manager to assist with training new staff in set up for procedures and use of specialized equipment., • Work with Team Leader/Manager to identify the need for new equipment and liaison with dept head for approval., • Input test results into patient record as needed., • Any duty deemed necessary Our comprehensive benefits package includes:, • Competitive salary, • Generous sign-on bonus $1,000, • Generous paid time off, • Tuition assistance, • 50% discount on veterinary care, • 403b matching, • Comprehensive medical, dental, and vision coverage, • You may be eligible for The Public Loan Service Forgiveness Program as we are a 501(c)(3) nonprofit employerPay Range$17.30—$22 USD Excellence in veterinary medicine since 1910. AMC Offers: A Commitment to Lifelong Learning: Founded in 1910, the Schwarzman Animal Medical Center is the world's largest veterinary teaching hospital, offering compassionate, collaborative, and cutting-edge veterinary care. Our commitment to innovation has led to the creation of one of the most advanced veterinary facilities in the world. State-of-the-Art Facilities: AMC just completed a major expansion and renovation. This project transformed the hospital's entire 83,000-square-foot space into a state-of-the-art facility unlike any other. Highlights include: A brand-new full floor surgical center, 1.5 Tesla Philips MRI (the exclusive high field MRI for small animals in NYC), 64-slice spiral CT scanner, Electroencephalography (EEG), Elekta Versa HD Linear Accelerator, In-house Laboratory, Ultrasound, Echocardiogram, and Mobile Cone Beam CT A multidisciplinary team of 140+ veterinarians across 20+ specialties: With over 20 specialties and services under one roof, our departments frequently work together to deliver the highest quality of patient care in the veterinary field. Our dynamic array of specialists means that we are the go-to place for complex cases. A Hospital in the heart of NYC: AMC is located in Manhattan, surrounded by leading research and teaching institutions such as Cornell University College of Veterinary Medicine, Weill Cornell Medical School, and NYU. Collaborative research opportunities abound, and our strong focus on education ensures a rewarding career for those passionate about mentoring and advancing veterinary medicine.

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Contribute to the growth and success of the team and the firm. Qualifications: • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes in AI models., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task, • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionAbout Five Rivers ITFive Rivers IT is a leading provider of Managed IT services for small and mid-market companies in the NY Metro area and across the United States. We empower organizations to leverage technology for growth, efficiency, and innovation. As AI continues to reshape how businesses operate, we are expanding our capabilities to help both our internal teams and our clients identify, design, and implement practical AI-driven improvements that deliver measurable business value.Role OverviewWe are seeking an AI Adoption & Business Transformation Specialist to help our business and clients effectively leverage artificial intelligence across operations. This role bridges business strategy and technical execution, translating business requirements and processes into practical, AI-driven solutions that deliver measurable value. You will partner with stakeholders to understand goals, workflows, and pain points; identify opportunities where AI and automation can improve efficiency and outcomes; and support implementation, change management, and ongoing optimization. This role is ideal for someone who can turn AI concepts into clear use cases, coordinate delivery with technical teams or vendors, and drive successful user adoption through strong communication and structured execution.Key Responsibilities • Serve as the primary point of contact for staff seeking guidance on AI tool usage, workflow integration, and best practices across the organization, • Design and deliver hands-on training programs for both technical and non-technical users, helping teams move from basic AI familiarity to confident, productive use, • Partner with business units to identify, scope, and implement practical AI solutions that solve real day-to-day problems — not just proof of concepts, • Enable and support agentic AI workflows where the AI autonomously executes multi-step tasks — such as organizing files, managing documents, and completing structured work across desktop applications — reducing manual effort for end users, • Guide teams in the use of AI plugins embedded directly into everyday tools such as Excel, PowerPoint, and legal applications, helping staff get value from AI without leaving the applications they already work in, • Define guardrails and approval workflows for agentic tasks to ensure human oversight is maintained where decisions carry meaningful business or operational risk, • Champion responsible AI use by embedding awareness of data handling, output review, and policy compliance into every enablement activity, • Track adoption, gather user feedback, and continuously iterate on training and resources to improve the end-user experience over time, • Collaborate with technical teams or vendors to implement AI-driven solutions., • Support change management, user adoption, and ongoing optimization of AI initiatives.Qualifications, • Demonstrated understanding of business processes and operational workflows., • Practical knowledge of AI, machine learning, automation, and data-driven tools., • Ability to translate complex business needs into tactical, implementable AI solutions., • Excellent communication and stakeholder management skills., • Experience driving digital or AI-led transformation initiatives is a plus., • Certifications in AI, data science, or project management are preferred but not required., • Experience with workshop facilitation, stakeholder management, and change enablement across complex organizations.Technical & Functional Skills, • Familiarity with AI and automation concepts (e.g., RAG frameworks, GenAI use cases, intelligent automation, data governance)., • Proficiency in documenting business processes and requirements., • Understanding of compliance, data privacy, and regulatory frameworks affecting AI adoption in financial institutions.Soft Skills, • Strong communication and facilitation skills with the ability to engage senior stakeholders and translate strategy into action., • Analytical and structured thinking with problem-solving orientation., • Ability to thrive in a fast-paced environment and manage multiple workstreams.Other Details about the Job, • This is a Full-Time position., • All standard benefits are included such as medical/dental/vision insurance and vacation time., • We encourage and reward professional certifications., • Salary will be based on experience. Please send your resume with the expected salary. Applications lacking expected salary will not be considered., • You will be placed at our Fair Lawn, NJ office. Please do not apply if you are not local or are not willing to relocate., • Compensation for AI Adoption & Business Transformation Specialist will range from $100,000 to $150,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR 5u1mahMDO5

Job Description AI Transformation Lead, Life Sciences (Commercial) Location: US East Coast, remote-first with travel Type: Full-time, individual contributor Travel: Approximately 20–30 Our client is looking for an AI Transformation Lead to help enterprise life sciences and pharma customers identify, shape, and deliver high-impact commercial use cases. This role will sit within the Value Engineering team and work closely with sales, pre-sales, customer success, product, marketing, and senior leadership to bridge the gap between product capability and real-world commercial workflows. The ideal candidate will have lived on both sides of the table - inside large pharma commercial teams and within consulting, systems integration, or technology businesses that serve them. You will guide enterprise buyers from first conversation through live deployment, helping customers unlock value across field force optimisation, HCP targeting, next-best-action, launch analytics, and commercial operations. Role overview This is a strategic, commercially focused role for someone who understands both pharma commercial execution and the delivery of technology-enabled transformation. You will help shape how our client sells, what they build, and how customers realise measurable value. Key responsibilities Own AI transformation advisory work alongside Sales and Pre-Sales to qualify opportunities, define high-impact use cases, and build compelling business cases anchored to measurable ROI. Help enterprise pharma buyers identify where digital workers can replace or augment manual commercial workflows, from brand planning analytics to field force effectiveness. Build and present business cases that quantify value through cost savings, speed-to-insight, and revenue uplift for C-suite and VP-level stakeholders. Advise customers on organisational readiness, adoption playbooks, and governance frameworks to support pilot-to-enterprise deployment. Partner with Customer Success post-sale to drive adoption, expansion, and renewal, while identifying upsell and cross-sell opportunities. Feed market and customer insights back into Product, Marketing, and Sales to refine positioning, packaging, and roadmap priorities. Represent our client externally by speaking at industry conferences, leading executive roundtables, and serving as a trusted voice in the life sciences AI community. What success looks like New logo acquisition through direct contribution to closing new enterprise pharma accounts. Net Revenue Retention through expansion and renewal revenue across assigned accounts. Pipeline influence through opportunities sourced or materially advanced by your advisory work. Faster time-to-value by accelerating customers from contract signature to first deployed digital worker. Candidate profile Essential experience 10+ years in life sciences or pharma, with significant time in a commercial leadership role such as brand management, commercial operations, field force strategy, or launch excellence. Experience at a consulting firm, systems integrator, or technology vendor serving pharma commercial organisations. Hands-on delivery of automation or AI projects in a commercial pharma context, including RPA, ML/AI analytics, or agentic AI deployments. Strong ability to build business cases and present to VP- and C-suite-level decision-makers. Deep understanding of pharma commercial workflows, including HCP targeting, next-best-action, patient analytics, field operations, promotional analytics, and commercial data ecosystems such as IQVIA, Symphony, and Veeva CRM. Preferred experience Familiarity with enterprise change management frameworks such as Prosci or Kotter. Exposure to causal inference, causal AI, or advanced analytics beyond standard machine learning. A strong network within US pharma commercial leadership circles. A track record of influencing product or platform roadmaps based on customer insight. Comfort working in a high-growth, Series A environment where the playbook is still being built. Personal qualities Commercially sharp, with a strong focus on revenue, ROI, and deal velocity. Credible with senior pharma stakeholders because you understand their world. A builder who wants to create a function, not inherit one. Intellectually curious and current on AI, agentic systems, and the evolving technology landscape. Why this opportunity Our client is disrupting the traditional commercial life sciences consulting space by automating time-and-materials work that slows clients down. The business already has live enterprise deployments with organisations including J&J, Syneos Health, Parexel, and Cisco, and is backed by a $45M Series A with strong enterprise traction. This is a small team with outsized impact, offering the chance to shape how the company sells, deploys, and grows in the world's largest pharma market. Compensation includes a competitive base salary, performance bonus tied to company growth, and equity participation subject to seniority and location. Hiring process Two calls with the hiring maager. A three-hour challenge and presentation. A final conversation with the CEO

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. RESPONSIBILITIES: • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain, • Work directly with client stakeholders to translate business problems into high-level analytics solution designs, • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions, • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc, • Experience in generating insights from reports and summarizing for brand teams, • You will be responsible for account management, client relationships, and account growth, • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value, • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc., • Experience working with all levels of management and consulting with key business stakeholders., • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution, • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals Requirements • 14 - 18 years of professional work experience with at least 10 years in data analytics, • Strong experience working on Patient Services, • Experience in building product suite for Global Access and Value team, • Deep understanding of pharma dataset, KPIs, and insight needs across different HQ and field personas across commercial, PSS, and market access, • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach, • Strong knowledge of Life Science and Pharma domain, • Experience in specialty drug and rare diseases, • Strong project management and team management skills and ability to work with global teams, • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Power BI or Tableau, • Strong understanding of standard data sources—especially pharmacy, HUB, CRM, IQVIA, alignments, and related datasets—along with the nuances and quality controls required to ensure accuracy, • Experience in developing hypotheses and validating them through data analysis to identify and investigate trends, • Experience in building and maintaining reports, with a focus on optimizing effort through automation, • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage, • Graduate in Business Analytics or MBA or equivalent work experience Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionCompany Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description We're looking for a Staff ML Engineer to lead the design and delivery of large-scale, production AI systems that power core products. A genuine interest in investing, public markets, and fundamental business analysis is expected. This role is for someone who combines deep machine learning expertise with strong software engineering and architectural judgment, and who is excited to solve ambiguous, high-leverage problems that shape both product capabilities and technical direction. You will work across teams to ensure our AI systems are reliable, scalable, and aligned with long-term product and infrastructure goals. You will design and operate end-to-end ML systems spanning data pipelines, training workflows, inference services, evaluation, and monitoring, while helping define how AI is applied across the company. This role is especially well suited to engineers who want to pair hands-on technical depth with cross-functional influence and long-term platform thinking. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Qualifications What You'll Do: · Lead the architecture and implementation of production ML and AI systems used at scale · Drive technical strategy for AI across multiple product areas · Design end-to-end systems including data pipelines, training workflows, inference services, evaluation, and monitoring · Own and deliver high-impact projects with significant ambiguity · Provide technical leadership through design reviews, mentorship, and cross-team collaboration · Identify and mitigate systemic risks in AI systems, including performance regressions, bias, and operational failure modes · Guide model lifecycle management, monitoring, and evaluation practices Requirements: · Bachelor’s degree in Computer Science or equivalent practical experience · Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems · Experience building and operating production ML systems · Strong proficiency in Python, TypeScript, or Java · Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP · Deep understanding of modern ML techniques, including deep learning and representation learning · Demonstrated ability to lead technical initiatives across teams · Ability to proactively share ML knowledge and best practices, fostering a collaborative and non-siloed engineering culture · Prior experience leading or founding an AI systems team · Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures · Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction · Experience with large-scale training pipelines using frameworks such as TensorFlow or PyTorch · Experience building human-in-the-loop training or evaluation workflows Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities: • Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes, • Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars, • Extras -- Dry cleaning, shoe shining and sneak peeks, • Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks., • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications., • Identify bugs, edge cases, performance issues, and failure modes in AI models., • Compare outputs from multiple frontier models and assess their strengths and weaknesses., • Apply professional engineering judgment to realistic ML engineering scenarios. Qualifications Must-Have • 2+ years of professional machine learning engineering experience., • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products., • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools., • Ability to evaluate model-generated machine learning implementations and technical tradeoffs. Preferred • Experience deploying ML systems to production. Compensation & Legal • $400 per accepted task, • Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role At Hinge, the recommendation engine is a central part of our product. Every interaction users have with each other on our app begins with the systems your team builds and owns. As the engineering manager of this team, you will help drive the strategy and execution behind the infrastructure and features that power our recommendations. You’ll work closely with machine learning engineers, product managers, data scientists, and data engineers to build systems that balance personalization, fairness, and user experience at scale, from low-latency match-serving pipelines to the candidate retrieval and ranking systems that determine who users see and when. Our ability to provide good recommendations is central to achieving trust, engagement, and, most importantly, whether people can find who they’re looking for on Hinge. Responsibilities Lead, mentor, and grow a team of 6-8 engineers building recommendation services Partner with ML to productionize recommendation models and ensure low-latency, high-availability serving infrastructure Own the technical roadmap for the recommender platform, balancing new capabilities with reliability and performance improvements Drive architecture decisions for recommendation and search infrastructure Establish and maintain engineering standards for code quality, testing, observability, and incident response Collaborate with Product, Design, and cross-functional engineering teams to define and deliver product-facing recommendation features Manage hiring, performance reviews, career development, and team culture What We're Looking For 8+ years of software engineering experience, with 4+ years in an engineering management role Strong backend systems expertise – you've built or operated large-scale distributed systems in production Experience with recommendation systems, search ranking, personalization, or adjacent ML-serving infrastructure Proficiency in one or more backend languages (ideally Go) Familiarity with data processing architectures, feature stores, and model-serving technologies (e.g., Kafka, Spark, ElasticSearch, etc) Track record of hiring, developing, and retaining high-performing engineering teams Ability to communicate technical trade-offs clearly to both engineers and non-technical stakeholders Nice to Have Experience with ML frameworks (TensorFlow, PyTorch) or MLOps tooling (MLflow, Kubeflow, Airflow) Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes) Background in A/B testing and experimentation platforms Prior work at scale (millions of daily active users or equivalent throughput) Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description The Role Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will own the data that our models learn from. This role requires a deep understanding of molecular biology - what a biological data source contains, what it implies, and what is missing. The quality and coverage of training data determines what our models can learn, and the biological insight behind how that data is constructed is the difference between a model that memorizes and one that reasons. You will construct training datasets that capture how proteins and molecules interact, drawing from diverse biological data sources and extending them with your understanding of molecular principles You will develop methods to expand training data beyond what exists in public databases, using biological and chemical reasoning to create new training signal where current data is sparse or absent You will design benchmarks grounded in real molecular phenomena, measuring whether our models have learned biologically meaningful capabilities rather than statistical shortcuts You will develop data strategies in collaboration with model researchers, determining what the model should learn from, what biological signal to prioritize, and how to sequence learning across modalities You will design approaches for integrating data across biological scales and modalities, building coherent training data from heterogeneous experimental and computational sources You will design rigorous splitting and evaluation strategies that prevent leakage and ensure model capabilities generalize to real biological problems You will stay current with biological data sources, experimental methods, and molecular databases, continuously identifying new sources of training signal About You You have a PhD in computational biology, biophysics, structural biology, chemistry, biochemistry, or a related biological field with 2+ years of post-doctoral or industry research experience, or equivalent depth through a combined biology and computational background You have deep understanding of molecular interactions, protein structure, and biological data at the molecular level, grounded in first principles rather than surface familiarity You have experience working with large-scale biological or molecular datasets, including sourcing, cleaning, integrating, and analyzing heterogeneous data You have strong programming skills in Python and are comfortable building computational pipelines for data processing at scale You understand what machine learning models require from training data: coverage, quality, balance, and evaluation rigor You approach data construction as a research problem, not a pipeline task: you think carefully about what data means, what signal it carries, and what is absent Bonus Points You have experience with computational biology tools such as structure prediction, molecular docking, or virtual screening You have experience training or evaluating machine learning models, particularly on molecular or biological data You have publications in computational biology, bioinformatics, or molecular informatics You have a background in cheminformatics or molecular data analysis You have experience working with protein or molecular language models Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer We encourage new and different ideas, creativity and contrarian thinking Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you You own your day-to-day management. What we care about is that we all hit our milestones Competitive salary and equity in a growing, well-funded startup Excellent medical, dental, and vision coverage Compensation Range: $150K - $250K

Job Description Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. What We Do We are enabling the one person finance team… Artificial intelligence products that automate operational management of accounting, communications, and reporting. Finance leaders shouldn’t worry about updating new points of contacts for an invoice; our systems enable them to deliver strategy and vision to their business. The Job We are putting together a tight team of innovative product engineers to join the AI team full stack. This is an in person role in New York City. You will own building automation, AI, and ML features from concept, release, and integration into the product. We are looking beyond pattern matching, this isn’t a solved problem and we are looking for engineers who will generate new insights and solutions. You will work closely with company leadership and the founding team to deliver high impact projects with direct impact on market positioning of the business. Who You Are Proven ability to build green field products, get it 80% right, and learn from the missing 20%. Experience taking ownership of projects and driving them through to completion 3-5 years of full stack experience in engineering that directly impacts the delivery of product and features to users 1+ year of experience on products that deliver AI/ML inference to end users. Can be anywhere in that lifecycle, from training machine learning systems, to creating the interfaces users use to navigate inference results. An interest and passion for AI/ML systems, if you haven’t had the opportunity at work to build AI/ML systems but have personal projects in the space we would love to hear about them. We don’t care what stack you’ve built in the past, but you will be building with Python, Typescript, and NextJs (bonus points if this is already your stack) Exceptions to the above requirements are made for candidates with exceptional stories. If this is you, we will consider you regardless of the guidelines above. Our Phenotype We are not looking for people who like to coast or shop offers for value. We are looking for gunners who are attracted to non-traditional success. A specific type of person does well here: You pride yourself on grit and creativity though you know you may not be the smartest in the room. You are obsessed with building and have a clear track record of ownership and shipping highly creative, innovative works. You are energized by working in-person with colleagues four or more days a week. You are opinionated on how product should be built and know when to fight for your ideas (and when to dissent and commit) When you see someone spilled coffee, you grab a mop. We’re a NYC-based team working together in our Manhattan office. Even if you don’t meet 100% of the qualifications, we encourage you to apply. We care most about curiosity, craft, and drive. Perks and Benefits (Full-time Employees) Competitive compensation and equity Unlimited PTO Up to 100% employer covered monthly healthcare premium (medical, dental, vision) Lunch provided via Sharebite, plus dinner for any later in office days. Parental leave up to 12 weeks Tax free commuter and parking benefits Voluntary insurances (Life, Hospital, Critical Illness, Accident) Employee Assistance Program (Rightway) Free One Medical Membership 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves. Compensation Range: $165K - $225K

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave's Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack. This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubelet Focus Areas: • Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes., • Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement)., • Stack-Wide Support – Ensure kernel support and stability across:, • Virtualization (KubeVirt, QEMU, vFIO), • Container runtimes (containerd, nydus, kubelet), • HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand), • Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs., • Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.About the role:, • Triage and fix kernel crashes and performance regressions., • Develop, test, and upstream kernel patches relevant to CoreWeave's hardware/software environment., • Collaborate with hardware vendors and the Linux community on feature enablement., • Implement diagnostics and tooling for kernel-level observability., • Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads., • Provide kernel-level expertise during incident response and root-cause investigations.Who You Are:, • 5+ years of professional experience in Linux kernel engineering or systems-level development., • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field., • Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers)., • Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump., • Strong C programming skills with the ability to write maintainable and upstream-quality code., • Experience working with kernel modules, drivers, and subsystems., • Strong problem-solving abilities with a "full-stack" systems perspective. Preferred: • Contributions to the Linux kernel or related open-source projects., • Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes., • Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning)., • GPU/DPU bring-up and driver experience., • Experience in HPC or large-scale distributed systems., • Familiarity with QA/QE best practices, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience with machine learning is a huge bonus The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionWe are seeking a Senior CRM Solutions Developer & Software Engineer to design, develop, and enhance solutions across Microsoft Dynamics CRM and Dynamics 365 environments. This role will work across the full solution lifecycle—from requirements and architecture through development and deployment—supporting both legacy CRM systems and modern cloud platforms. The ideal candidate is a hands-on engineer who can build scalable CRM solutions, integrate enterprise systems, and contribute to the modernization of customer-facing platforms in a fast-paced Agile environment.Responsibilities • Design and develop solutions across Microsoft Dynamics CRM (On-Prem) and Dynamics 365 Online environments, • Collaborate with architects, developers, and business stakeholders to deliver scalable CRM solutions, • Build and customize CRM components, including plugins, workflows, Power Automate flows, PCF components, and integrations using Web API/SDK, • Support deployments and environment management across CRM On-Prem and Dynamics 365 Online platforms, • Participate in Agile sprint planning, effort estimation, and release delivery, • Troubleshoot and resolve complex issues across CRM platforms and integrated enterprise systems, • Mentor team members and promote best practices across CRM, DevOps, and CI/CD development processes, • Contribute to broader engineering initiatives, including .NET services, Azure integrations, and enterprise applicationsRequired Experience, • 6+ years of Microsoft Dynamics CRM / Dynamics 365 development experience, • Strong hands-on experience with C#, ASP.NET, and .NET development frameworks, • Experience developing CRM solutions using plugins, workflows, Power Automate, entities/tables, and custom integrations, • Experience working with SQL Server and relational database design (T-SQL), • Experience using CRM SDK, Dataverse Web API, and modern integration approaches, • Experience working within Agile environments with source control and CI/CD practices, • Strong problem-solving skills with the ability to troubleshoot complex enterprise systemsPreferred Experience, • Experience supporting CRM On-Prem to Dynamics 365 migrations or upgrades, • Familiarity with Power Platform components (Power Apps, Power Automate, custom connectors), • Experience working with Azure services and cloud integrations, • Experience creating CRM reports using SSRS, • Familiarity with JIRA or similar Agile project management toolsActual compensation may vary based on factors such as role, work experience, education and training, skill level, market conditions, and the candidate's geographic location. We offer a competitive compensation package, including a base salary, comprehensive health care coverage, disability benefits, a 401(k) match, life insurance, paid personal days, paid holidays, and paid time off, among other benefits. For those in eligible roles, a discretionary bonus may be awarded based on company performance and in recognition of individual achievements and contributions. Additional details about total compensation and benefits details during the hiring process.Doran Jones Inc. (DJI) is the leading financial services Data Engineering and Application Development firm, specializing in Capital Markets, Risk, and Regulatory Compliance. We are US-based, helping our clients fill gaps in capacity and expertise, reduce risk, and accelerate change. Our leaders average over 25 years of experience in Financial Services and Technology. DJI is repeatedly engaged by the largest and most complex clients for our Agile transformation expertise and practical understanding of the critical relationship between data, architecture, and application development. DJI has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at DJI. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm. DJI is a wholly-owned subsidiary of McLaren Strategic Ventures, a private equity firm, that invests in start-ups and scale-ups. They provide a full range of highly trusted domain consulting, advisory services, and innovative technologies globally. Doran Jones is able to offer a broad range of technology, deeper AI and machine learning tools, data intelligence, alternative resourcing capabilities, and capital access to invest and digitize at scale. Our clients benefit from this unique portfolio allowing them to accelerate the pace of their own digital transformations through innovative products and services designed around industry-wide issues. Visit Doran Jones to learn more!

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details As the Post-Doctoral Fellow in the Center for Data Analytics, Innovation, and Rigor (DAIR Center), you will lead the development of machine learning models and conduct advanced data analyses, with a focus digital journaling, survey, cognitive, biometric, and/or multimodal data types. You will be primarily responsible for designing, documenting, and conducting experiments that evaluate meaningful signals of mental health derived from multimodal data sources, developing analytical models to evaluate validity of these signals, and publishing findings in peer-reviewed scientific journals. This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. You Will • Lead the design and execution of research studies involving complex analytical workflows including data preprocessing, feature engineering, model development, scientific analyses, data visualization, and validation., • Develop reproducible, scalable, well-documented code and pipelines suitable for high-performance computing ecosystems, with version control through GitHub or equivalent repositories., • Apply both pre-trained and custom-made machine learning models and data manipulation pipelines to research and clinical contexts, ensuring the responsible handling of sensitive data., • Write, submit, and publish research findings in peer-reviewed scientific journals, present findings at conferences, and contribute to the preparation of grant proposals and funding applications., • Mentor and provide guidance to graduate students, research assistants, and junior team members on research methodologies and data analysis techniques., • Collaborate with interdisciplinary research teams to define project objectives, establish timelines, monitor progress, and ensure successful completion of research milestones while contributing to the intellectual direction of the team through participation in research planning meetings and strategic discussions., • Perform additional job-related duties as assigned. You Have • PhD in Neuroscience, Psychology, Engineering, Computer Science or similar domain., • 4+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting., • 4+ years of experience including education in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required., • 2+ years of experience including education working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker)., • 2+ years of practical experience designing and developing ML and NLP technologies using ML and NLP toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK.) Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. #LI-on-site, #LI-hybrid EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This is an exempt, full-time, hybrid position located in our NYC headquarters office or other relevant location. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. You Will: Procurement and development of multimodal dataacquisition protocols. Development, application, and refinement of analytic approaches for multimodal data. Prepare manuscripts for publication in peer-reviewed scientific journals. Prepare grant applications directly as principal and co-investigator. Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows). Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure. Formation and maintenance of collaborative relationships with scientific peers. Perform additional job-related responsibilities as assigned You Have: PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable). 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting. 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required. 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments. 2+ years of supervising experience by mentoring predoctoral trainees Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions. Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers. Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development. An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. #LI-hybrid. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at hr@childmind.org This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Our Sales Solutions Consulting team is in the midst of an exciting transformation - SSC 2.0 is the engine powering our vision. We are redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our Sales Solutions Consultants (SSCs) don't just demo features - they tell stories, co-create with customers and partners, and help shape strategy with technical credibility and business insight. The Role We are hiring a Partner Sales Solutions Consultant to help scale Appian's impact across the North America commercial partner ecosystem. This is a strategic individual contributor role for a leader who can influence far beyond any one opportunity. While this is not a people-management position, it is a highly visible role that partners closely with Appian's alliance, sales, and solutions leadership to shape how we build partner capability, develop repeatable joint solutions, and drive partner-led growth in the market. You will work across a portfolio of strategic consulting and alliance partners to strengthen technical readiness, inform partner strategy, and create repeatable motions that expand Appian's reach. Your success will come not only from supporting partner-led opportunities, but from helping define the approach, priorities, and plays that enable partners to independently position, sell, and deliver Appian solutions at scale. What You'll Do You will serve as a strategic technical advisor to Appian's partner ecosystem across Commercial North America. In this role, you will: Shape partner strategy and execution. Partner with Appian leadership, Alliance Managers, and field teams to influence how strategic partners take Appian to market. Help define where to invest, which solution plays to prioritize, and how to increase partner-led scale across the region. Build partner capability. Drive partners to confidently position and deliver Appian by developing reference architectures, solution patterns, and AI-enabled blueprints. Lead workshops, technical briefings, and acceleration sessions that improve partner readiness and independence. Help them build dedicated Appian practices. Drive pipeline with and through partners. Support joint go-to-market efforts through account mapping, industry plays, demand generation, and partner-led opportunity development. Help partners identify where Appian can create differentiated value and accelerate pipeline creation. Be the technical resource for partner created GTM solutions built on the Appian platform. Contribute the technical perspective and point of view into thought leadership assets. Provide technical leadership in partner-led opportunities. Guide partners through discovery, solution shaping, proof-of-value efforts, and architectural alignment. Support multiple partner-sourced and partner-led opportunities simultaneously, with a focus on repeatability and long-term leverage, not just point execution. Connect strategy across the ecosystem. Act as a bridge between partners and Appian's internal sales and product and engineering teams. Work closely with field-aligned SSCs and leadership to ensure partner motions are aligned to account priorities, customer needs, and broader regional strategy. Translate technology into business value. Help partners connect Appian's process automation and AI capabilities to measurable business outcomes. Support executive-level conversations that position Appian within broader transformation agendas and industry trends. Inform Appian's direction with market insight. Capture recurring architectural patterns, partner feedback, and ecosystem signals, and synthesize them into actionable input for Product, Engineering, and leadership. Bring a market-backed point of view on what partners need to grow faster and deliver more effectively. What We're Looking For You are a strong fit for this role if you combine partner-facing experience, technical credibility, and strategic judgment. You know how to operate as a senior individual contributor—someone who can influence leaders, shape direction, and drive execution without direct authority. We're looking for candidates with: 5+ years in pre-sales, sales engineering, solutions consulting, or client-facing strategic consulting Prior partner experience is required: go-to-market, solution development, relationship management, and demonstrated ability to build partner-led pipeline and capability A deep understanding of how services firms build offerings, take solutions to market, and engage customers Experience with enterprise technology platforms such as BPM, low-code, workflow, automation, and application development platforms The ability to influence senior stakeholders and contribute to go-to-market or partner strategy Strong executive communication, workshop facilitation, and partner enablement skills Comfort operating across multiple stakeholders, opportunities, and priorities simultaneously Experience in a major consulting firm or similar advisory environment is strongly preferred, but not required. Technical and Innovation Profile The ideal candidate is energized by emerging technology and can help partners translate new capabilities into practical offerings and market impact. You should bring: Familiarity with enterprise production environments, including application servers, web servers, and databases Experience exploring new solution patterns before they are fully standardized Strong interest in AI and machine learning, including the ability to explain how these capabilities create value for partners and customers The ability to shape scalable joint solutions that align with partner strategy, customer priorities, and Appian's broader go-to-market direction Basic Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience 5+ years as a successful pre-sales engineer, or 6+ years in a client-facing professional services or consulting role supporting enterprise technology sales Ability to travel up to 70% within the assigned region How Success Is Measured Success in this role is measured by ecosystem impact and strategic leverage, including: Growth in partner-sourced and partner-influenced pipeline and ACV Improved scale, progression, and win rates in partner-led opportunities Increased partner technical maturity, independence, and repeatability Stronger alignment between partner motions and regional go-to-market priorities Broader adoption of solution patterns, joint plays, and offerings across the partner portfolio #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$125,000—$250,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Our client is seeking an Research Scientist to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As part of the DAIR team, you will report to the Director, DAIR. You will help provide oversight for the development, implementation and analysis of multimodal modal brain and body imaging (MoBI) studies of behavior and brain function with particular focus placed on the application of advanced statistical learning techniques to multimodal datasets for the purpose of identifying biomarkers, signals, or trends that have clinical utility. Translational models will be employed as needed to understand phenomenology underlying biomarkers and establish their validity. The Research Scientist will help develop short- and long-term work goals for data analysts and provide supervision and mentoring for junior research staff. The Research Scientist will ultimately function as a Principal Investigator, providing leadership in these areas and building a portfolio of scientific evidence, fundable projects, and software and analytic tools in the area of multimodal brain and body imaging and biometrics. This exempt, full-time, hybrid position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor in the NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: • Procurement and development of multimodal data acquisition protocols., • Development, application, and refinement of analytic approaches for multimodal data., • Prepare manuscripts for publication in peer-reviewed scientific journals., • Prepare grant applications directly as principal and co-investigator., • Assistance in the guidance and mentoring of DAIR and MoBI team research staff (e.g.,research assistants, data analysts, post-doctoral fellows)., • Strategic planning and oversight for the development and qualityassurance for DAIR and MoBI team research databases and related infrastructure., • Formation and maintenance of collaborative relationships with scientific peers., • Perform additional job-related responsibilities as assigned Qualifications: • PhD in electrical engineering, bioengineering, computer science, biophysics, appliedmathematics, or neuroscience, with two years or more of postdoctoral training in one ormore measurement modalities for brain function (inclusive of training, if applicable)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning), preferably in a clinical or research setting., • 5+ years of experience in at least one scientific programming language (e.g., Python/R,Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars,Pytorch) is required., • 5+ years of combined experience and education in the collection and/or analysis of mental health-related data modalities, such as MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments., • 2+ years of supervising experience by mentoring predoctoral trainees, • Must be considered NIH-eligible to serve as a Principal Investigator on grant submissions., • Must have a demonstrable track record of conducting experiments, writing analyses, and communicating results through scientific posters, presentations, and papers., • Must be broadly considered a strong and qualified researcher in signal processing, image analysis, and software development., • An outstanding academic and research background in a disciplinary area relevant to the Child Mind Institute, including relevant academic qualifications. Special Considerations: The anticipated salary range for this position is $110,000 - $130,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description T Field Service Engineer (Level II MSP Experience Required) Location: New York Metro Area Work Type: Field-Based (Travel Required) Step into the Future with Netsurit! Ranked #305 on Inc. 5000 Americas Fastest-Growing Private Companies and winner of the 2024 Global MSP501 Top 500 Managed Service Providers, Netsurit is not just solving IT problems, were shaping the future of AI-powered innovation. Help us design, implement, and scale intelligent solutions that empower businesses to automate processes, uncover insights, and accelerate growth. You will work with cutting-edge tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Show us your AI experience and ideas in your application we would love to see how you can help us drive what is next! What You will do • Deliver on-site and remote IT support for clients across the NJ/NY Metro area., • Implement and troubleshoot advanced technologies in networking, virtualization, and cloud environments., • Configure systems and network architecture for new and existing clients., • Install and support multi-vendor hardware: Servers, SAN, LAN, WAN, VPN., • Monitor Disaster Recovery and Business Continuity solutions., • Provide exceptional client service and document all work clearly and professionally., • Collaborate on AI-driven projects that enhance automation and efficiency. What You Bring • 5+ years of IT support experience (MSP background required)., • Strong technical skills in:, • Active Directory, Group Policy, • Microsoft Azure, Intune (Android/iOS), • VMWare / Hyper-V, LAN/WAN, WiFi, Firewalls, • Windows Server OS (install, troubleshoot, maintain), • Mac OS (must-have), • Bonus: Basic Linux knowledge and any AI/automation experience., • Excellent communication and documentation skills., • Valid drivers license and reliable vehicle for travel in NY Metro., • Industry certifications are a big plus! Why Netsurit? • Dream-Driven Culture: Your goals matter here., • Award-Winning Company: Ranked #305 on Inc. 5000 and Global MSP501 Winner., • Global Leader: 27 years of excellence serving 600+ businesses., • Career Growth: Mentorship, training, and advancement opportunities., • Competitive Perks:, • Excellent benefits package, • 401(k) with company match, • Travel reimbursement, • Paid holidays and PTO Artificial Intelligence Innovation: Join Netsurit at the forefront of AI transformation—where technology meets ambition. Help us design, implement, and scale intelligent solutions that empower our clients to automate processes, uncover insights, and accelerate growth. Leverage tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Be part of a team thats shaping the future of AI-powered innovation. Please share your experience and knowledge in AI as part of your application wed love to see how you can help us drive whats next. Note to Agencies: Principals only. No recruiters, no agencies, no unsolicited services. Company DescriptionAbout Netsurit: We are #305 on Inc 5000 America's Fastest-Growing Private Companies! We were also awarded the 2024 Winner for Global MSP501 in the Top 500 Managed Service Providers! With headquarters in New York, Netsurit is a global leader in IT solutions, providing comprehensive managed services, cybersecurity, AI capabilities, and strategic insights for organizations of all sizes. For 27 years, Netsurit has helped more than 600 businesses navigate the complexities of the modern workplace by ensuring critical applications and infrastructure are always on, secure, and resilient. A Note to Third Parties: Principals only. Recruiters, please don't contact this job poster. Please do NOT contact us with unsolicited services or offerAbout Netsurit: We are #305 on Inc 5000 America's Fastest-Growing Private Companies! We were also awarded the 2024 Winner for Global MSP501 in the Top 500 Managed Service Providers! \r\n\r\nWith headquarters in New York, Netsurit is a global leader in IT solutions, providing comprehensive managed services, cybersecurity, AI capabilities, and strategic insights for organizations of all sizes.\r\n\r\nFor 27 years, Netsurit has helped more than 600 businesses navigate the complexities of the modern workplace by ensuring critical applications and infrastructure are always on, secure, and resilient.\r\n\r\n A Note to Third Parties: Principals only. Recruiters, please don't contact this job poster. Please do NOT contact us with unsolicited services or offer

Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus