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Job Description Be Part Of A High-Performing Team: Join a mission-driven technology organization focused on improving the aging and long-term care experience through modern data, analytics, machine learning, and digital product innovation. This team is building scalable solutions that help individuals, families, and caregivers navigate a historically fragmented care ecosystem with greater clarity, dignity, and support. The environment is collaborative, purpose-driven, and highly cross-functional, bringing together data engineers, analysts, data scientists, ML/AI engineers, and product teams to create reliable data foundations that power meaningful business and customer outcomes. What's In Store For You: This is a full-time opportunity available to remote applicants residing in Eastern Standard Time states. The role offers the chance to work on modern data architecture, Lakehouse engineering, machine learning enablement, and production-grade analytics infrastructure. The organization provides a strong employee support model, including healthcare coverage, retirement programs, paid time off, paid family leave, tuition reimbursement, student loan repayment, training and certification support, wellness resources, caregiver support, and mental health services. How You Will Make An Impact • Design, build, and maintain scalable ETL/ELT pipelines that support analytics, machine learning, and operational data needs., • Develop reliable ingestion frameworks for batch and streaming data sources using Python, SQL, Spark, and Databricks., • Build and maintain data models across raw, curated, semantic, and domain-specific layers using Delta Lake., • Create dimensional models, star schemas, and curated datasets that enable business KPI tracking, reporting, and ML use cases., • Improve pipeline quality through automated testing, data validation, anomaly detection, documentation, monitoring, and alerting., • Partner with analysts, data scientists, ML engineers, product teams, and platform engineers to deliver reusable, high-quality data assets., • Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance, reliability, and cost efficiency., • Apply strong data governance, RBAC, privacy, PII handling, and Unity Catalog best practices across the data ecosystem., • Help raise engineering standards by reducing technical debt, improving repeatability, and mentoring others on modern data engineering practices. Do you bring proven success in modern data engineering and Lakehouse architecture? • 7+ years of experience in data engineering, analytics engineering, or related data-focused engineering roles., • Strong hands-on experience with Python, SQL, Spark, and distributed data processing., • Production experience with Databricks, Delta Lake, and Lakehouse architecture., • Deep understanding of ETL/ELT design, data modeling, data quality, and scalable pipeline development., • Experience building production-grade data pipelines with reliability, monitoring, SLAs, and operational support in mind., • Ability to design curated datasets, dimensional models, semantic layers, and analytics-ready data products., • Experience supporting analytics, machine learning, data science, and product stakeholders., • Strong communication skills with the ability to clarify business/data requirements and explain technical decisions clearly., • Comfort working in a collaborative, fast-moving, purpose-driven environment., • Must reside in an eligible Eastern Standard Time state., • This role is not eligible for employment visa sponsorship

Job DescriptionDescription: As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and machine learning solutions that help our clients solve complex problems and unlock new opportunities. You’ll collaborate with consultants, data engineers, and client stakeholders to bring advanced AI and ML capabilities into real-world applications — from prototypes and proof-of-concepts to enterprise-scale systems. Beyond technical execution, this role is about enabling client success, simplifying complexity, and helping teams work smarter with AI. Here's what you'll do: Prioritize Client Success • Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions., • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML)., • Deliver applications that are reliable, intuitive, and built for long-term value. Get Comfortable Being Uncomfortable • Navigate emerging and rapidly changing AI/ML technologies and tools., • Adapt quickly, lead through change, and make confident decisions with limited information., • Push boundaries by recommending modern approaches and innovations in AI/ML. Peel Back the Onion • Ask the right questions to uncover root causes and deliver solutions that solve the real problem., • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes., • Explore new capabilities in deep learning frameworks, MLOps practices, and cloud platforms. Build to Last • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments., • Uphold security, data governance, and best practices in every deployment., • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement., • Coach and guide other team members to elevate technical delivery and AI/ML literacy. Embrace Being Small & Mighty • Be scrappy, stay hungry. Move fast, experiment, and adapt., • Roll up your sleeves and get your hands dirty with coding, data processing, deployment, and optimization., • Push through challenges with grit and a growth mindset. Help Others Be Great • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes., • Translate technical AI/ML concepts into clear insights for non-technical stakeholders., • Communicate complex data, models, and outcomes in a way that’s clear and actionable.Requirements:, • Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C++, R, Julia, Scala a plus., • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies., • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL, • Hands-on experience with model development, training, deployment, and maintenance. Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers)., • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines., • Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions)., • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus., • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.

Job Description Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. By attracting top talent and leveraging cutting-edge technology, we're enabling people to unlock real financial progress. Sound like a mission you can get behind? About the Role As a Principal Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers. As a Principal Data Scientist, you'll: Design, develop, and deploy machine learning models to solve practical problems and help our business and customers reach their financial goals. You'll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management. You are a person who: • Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor, • Has a PhD in a quantitative field and 3+ years of experience in a related role, • Has a BS / MS in a quantitative field and 7+ years of experience in a related role, • You share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications, • Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance, • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.), • Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools You get bonus points for: • Experience building predictive models end to end, • Experience solving problems in consumer lending or fintech, • Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks We're offering: We're committed to ensuring our team members have balance in their lives. Our comprehensive benefits package provides the support you need to thrive at work and at home. • Work: An engaging culture with access to training programs and advancement opportunities, • Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match, • Balance: Generous PTO, flexible schedules, a Calm App subscription, and more Compensation USD Annual full-time base salary range: $183,000 - $204,000 Additional compensation in the form(s) of participation in our annual incentive program and equity are available for this role. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role. Mission Lane also offers a comprehensive benefits plan, which includes unlimited paid time off, 401(k) match, a monthly wellness stipend, health/ dental/ vision insurance options, disability coverage, paid parental leave, flexible spending account (for childcare and healthcare), life insurance, and a remote-friendly work environment. About Mission Lane: Founded in December 2018, Mission Lane is a purpose-driven fintech company based in the U.S., with headquarters in Richmond, Virginia. It all started with a realization: nearly fifty percent of the adult population in the U.S. doesn't have access to a clear line of credit. Most traditional credit card companies either overlook or overcharge this group because they have less-than-perfect credit scores or no scores at all. We decided this just wouldn't do. In partnership with our sponsor banks, we offer credit cards under the Mission Lane brand name, with better, clearer terms, and a more refined customer experience than the alternatives available to people working hard to improve their credit. To date, over four million consumers have chosen Mission Lane, earning high customer ratings on Credit Karma for its market segment and industry leading Net Promoter scores. Mission Lane has cumulatively raised over $600 million of equity from leading investors, including Invus Opportunities, QED Investors, LL Funds, funds affiliated with Oaktree Capital Management, and other leading investors. Our commitment to a workplace built on respect and dignity is guided by our core value of Unity. We believe that everyone plays a vital role in our shared purpose, and we actively cultivate an environment where all individuals have the opportunity to do their best work. By fostering a culture of empathy and collaboration, we create a strong sense of belonging and support for every team member. Mission Lane is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or any other protected status. Mission Lane provides reasonable accommodations to applicants who need them for medical or religious reasons, as required by law. Applicants can initiate an accommodation request by contacting peopleexperience@missionlane.com. Mission Lane is not sponsoring new applicant employment authorization and please, no third-party recruiters. Application Integrity: Our cardholders trust us with their financial well-being, and this trust starts with the integrity of the people on our team. We're looking for team members who share our dedication to transparency and truth. Please verify that the information in your application is accurate and complete. Providing any information to Mission Lane that is not completely truthful at any point during the application or hiring process may result in removal from the hiring process, disqualification from future opportunities, withdrawal of an offer or other sanctions for candidates and, in addition for employees, disciplinary action, up to and including termination of employment.

Job Description Kinsale Insurance is an excess and surplus (E&S) lines insurance company located in Richmond, VA. We pride ourselves on our quantitative, data-driven approach to insurance. Our Analytics & Actuarial team works directly with other business segments to drive both profitability and operational efficiency. Kinsale is a leader both in the E&S insurance industry and within the Richmond community, and can help you discover a career ripe for advancement and financial success. This is a unique and exciting opportunity that provides exposure to a variety of insurance products and business segments. The Analytics & Actuarial team at Kinsale is responsible for all the analytical work done at the company including actuarial pricing, reserving, capital modeling, catastrophe modeling, data science, KPIs, and reinsurance. Ultimately, we are interested in assembling the best team possible, which means you do not need experience in all the areas above to be considered. Your prior experience and areas of interest will determine your specific responsibilities. Responsibilities Your prior experience and areas of interest will play a large role in determining your responsibilities. Possible technical responsibilities include: • Performing aggregate pricing analyses for various insurance products, • Fine-tuning rating variables using both internal and external data, • Developing rating plans for new insurance products, • Catastrophe modeling including analyzing the raw model output, • KPIs and operational reporting, • Analyzing the profitability of underwriting divisions, • Reserve analyses for various lines of business, • Reinsurance analyses for various lines of business, • Utilizing third-party data to enhance existing pricing algorithms, • Predictive modeling and machine learning Other responsibilities include: • Communicating results to others, both inside and outside of the department, • Meeting with other departments and designing solutions to meet their needs, • Managing multiple projects at once and meeting various deadlines as required, • Taking ownership of your work – performing reasonability checks and accuracy checks prior to sharing results, • Enhancing existing analyses and projects including further automation, creating new exhibits, utilizing new methods, etc., • Evaluating the business and creating new analyses to improve overall profitability and performance, • Performing technical reviews and high-level actuarial reviews for others, • Being able to complete challenging tasks independently, • Training and mentoring newer team members as needed – providing technical help as well as educating them on general insurance and actuarial conceptsQualifications, • Bachelor’s Degree, • 6+ years experience in an actuarial or similar role, • Prior P&C insurance experience with excellent actuarial knowledge, • Advanced Excel skills, • Excellent communication, presentation, and interpersonal skills, • Creative analytical and problem-solving skills, • Excellent time management and prioritization skills, • Responsive, internally motivated, and able to work independently A compelling candidate will have: • Bachelor’s Degree in a quantitative field, • FCAS, • Very Strong SQL skills, • Programming knowledge in Python or R also a plus At Kinsale we offer the following great benefits: • Competitive Pay & Bonus Opportunities – Rewarding performance and initiative., • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $7,000 (family) in HSA contributions per year., • Work-Life Balance – Generous paid time off including 22 days of PTO and 10 paid company holidays., • Career Growth – Clear promotion paths, mentorship, and ongoing professional development., • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, standard life insurance, and disability coverage., • Continuous Learning – Annual $3,000 reimbursement for educational training and certifications including full actuarial exam support with study time and salary increases for each exam passed. Kinsale values strong financial responsibility. A credit check will be conducted as a part of the selection process for roles that require sound judgement, trustworthiness, or access to sensitive information.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. We are seeking a results-driven AI Enterprise Sales Specialist to join our team and drive the adoption of cutting-edge services-led solutions AI solutions for enterprise clients. The ideal candidate will have a strong background in enterprise professional and managed services sales with experience structuring complex services engagements that may include supporting product components. This role requires the ability to translate complex AI solutions into tangible business outcomes and to lead with services value—strategy, implementation, integration, and ongoing optimization. Key ResponsibilitiesSales Strategy and Execution: • Develop and execute sales strategies to achieve revenue targets and market growth., • Identify and pursue new business opportunities with enterprise clients in targeted industries., • Build and maintain a robust sales pipeline, ensuring a consistent flow of qualified leads and opportunities.Client Engagement and Relationship Management:, • Act as a trusted advisor to clients, understanding their business challenges and recommending tailored AI solutions., • Build and nurture long-term relationships with key stakeholders, including C-level executives and decision-makers., • Deliver compelling presentations and product demonstrations, highlighting the value of AI in driving business outcomes.Solution Selling:, • Collaborate with Consulting, Delivery, Presales teams to design customized AI solutions that address client needs., • Translate complex technical concepts into clear and actionable business benefits for non-technical stakeholders., • Negotiate and close enterprise-level contracts, ensuring alignment with client goals and organizational objectives.Market Insights and Thought Leadership:, • Stay informed about the latest trends and developments in AI and machine learning technologies., • Provide market feedback to internal teams on services offerings, packaging, and pricing to refine product offerings and strategy., • Represent the company at industry events, conferences, and webinars, positioning the organization as a leader in AI solutions.Collaboration and Teamwork:, • Work closely with Core Sales, Marketing, Presales, Engineering and Customer Success teams to ensure seamless client onboarding and support., • Share best practices on services-led selling, SOW structuring, and value realization, and contribute to the development of sales tools, playbooks, and enablement assets. Qualifications, • Bachelor’s degree in business, technology, or a related field; advanced degree preferred., • 5+ years of experience in enterprise sales with a primary focus on professional services, consulting, and/or managed services, ideally in data, cloud, or AI domains., • Demonstrated success selling and closing complex services engagements (e.g., multi-phase transformations, multi-year managed services, or large consulting programs)., • Exceptional communication, negotiation, and presentation skills., • Ability to manage complex sales cycles and navigate organizational hierarchies., • Entrepreneurial mindset with a passion for technology and innovation.Preferred Qualifications, • Experience selling consulting and managed services focused on AI, data, or other technology-based solutions to enterprise clients., • Industry expertise in sectors such as finance, healthcare, retail, or manufacturing., • Familiarity with CRM tools (e.g., Salesforce) and sales analytics platforms.Key Attributes, • Results-driven with a proactive approach to problem-solving., • Adaptable and capable of thriving in a fast-paced, dynamic environment., • Consultative and strategic, capable of elevating conversations from products and features to business outcomes, operating models, and change management., • Collaborative and influential, able to work across sales, delivery, product, and executive stakeholders to shape and close complex services deals., • Strong interpersonal skills with the ability to inspire confidence and trust in clients. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI:We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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 has been recognized by various market research firms, including Forrester and Gartner. We are seeking a Lead Business Systems Analyst. This role requires a strong blend of business analysis, systems thinking, and stakeholder management to drive technology solutions that support critical banking functions. The ideal candidate will have deep experience working in financial services, translating complex business requirements into scalable technical solutions, and leading cross-functional teams across the SDLC. Key Responsibilities • Lead requirements gathering, analysis, and documentation for banking systems and applications, • Collaborate with business stakeholders, product owners, and engineering teams to define functional and technical requirements, • Translate business needs into system specifications, user stories, and workflows, • Drive end-to-end project delivery, including UAT coordination and production support, • Work on data analysis, process improvements, and system enhancements, • Support integration efforts across multiple platforms and applications, • Ensure compliance with banking regulations, data governance, and security standards, • Mentor junior analysts and provide leadership on best practices Requirements • 8+ years of experience as a Business Systems Analyst, preferably in banking/financial services, • Strong understanding of banking products, processes, and regulations, • Experience with requirements gathering, BRD/FRD documentation, and Agile methodologies, • Solid experience in data analysis using SQL, • Experience working with APIs, system integrations, and data flows, • Strong stakeholder management and communication skills, • Ability to lead projects and coordinate across multiple teams Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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 Description Overview WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation:, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities JOB SUMMARY The Service Tech 3-Industrial is responsible for repairing, maintaining, diagnosing, testing and performing scheduled inspections on advanced mechanical refrigeration systems and associated equipment throughout the facility. ESSENTIAL DUTIES AND RESPONSIBILITIES • Provides preventative and corrective service on refrigeration and HVAC equipment., • Provides preventative and corrective service on screw, centrifugal and reciprocating compressors., • Reads blueprints, runs conduit, wires devices, troubleshoots and performs quality control testing., • Reads and interprets mechanical and electrical drawings and code specifications for determining wiring layouts., • Trouble-shoots, tests and repairs various electrical systems and power distribution systems to ensure that they are working properly., • Utilizes construction and fabrication skills., • Ensures and monitors safe work practices and safety guidelines., • Be actively involved in all of the elements of the PSM/RMP programs., • Performs complete inspection with minimal errors., • Performs upgrades or preventive maintenance to mechanical and electrical control systems., • Provides informal and formal training for other team members as required., • Supervises team members., • Bids jobs as needed., • Embodies the CoolSys CARES culture (Collaboration, Accountability, Respect, Empowerment, Safety)., • Performs other duties as assigned. Qualifications JOB REQUIREMENTS Education / Training • High school diploma, GED, or completion from trade program or technical school, required., • EPA Certification (Type I, II and III)., • All required safety certifications. Work Experience / Skills • 3-5 years’ work experience in commercial HVAC, refrigeration., • Experience working on refrigeration equipment in convenience, supermarket stores, industrial chillers and cooling towers., • Expert knowledge of tools, equipment, and materials common to the refrigeration, HVAC and electrical trade., • Expert knowledge of refrigeration and HVAC theory and application., • Expert knowledge of applicable electrical codes, standards, and regulations., • Expert knowledge of electrical application for high and low voltage electric system., • Expert knowledge of water flow, water cooled equipment and controls., • Expert knowledge of air flow and pressure., • Expert knowledge of different types of centrifugal compressors, piston compressors, screw compressors., • Expert knowledge of evaporative and cooling towers, chillers and purging unit., • Expert knowledge of ammonia systems., • Expert skill in the installation, repair, and maintenance of all types of electrical system equipment and components., • Understands quality management system and safety procedures., • Ability to use a variety of hand tools, machine tools, and precision measuring instruments., • Ability to supervise team members., • Ability to bid jobs and make material/equipment lists., • Skill in both verbal and written communication., • Skill in both verbal and written communication., • Good driving record., • Valid driver’s license required at all times., • Ability to understand and follow all company policies and procedures and all applicable State and Federal laws., • Ability to use typical business tools including E-Mail, Word, Excel, etc. PHYSICAL DEMANDS AND WORK ENVIRONMENT The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Environment This job typically operates in convenience stores, grocery stores, food service and/or construction environment with need to work at heights from ladders and/or Scissor lifts. Mechanical rooms can have elevated noise levels. The position regularly works near/with refrigeration/HVAC equipment that can expose the workers to extreme cold from refrigerant and high heat from brazing operations. This role routinely works in outside conditions that include inclement weather, heat and humidity, and exposure to dust. These conditions require employees to use the correct PPE and safe work practices. Physical Demands This position is very active and requires excellent stamina to perform strenuous physical labor under adverse field conditions. Employees are regularly required to walk and stand for long periods, hear, drive, sit, bend, kneel, stoop, crouch, crawl, climb, use hands and fingers, and lift and/or move up to 25 pounds, occasionally up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

Job Description THRYVE Automation thryve.co 700 Gordon Ave, Richmond, VA 23224 Senior Account Manager REPORTS TO Director of Sales EMPLOYMENT Full-time · Exempt LOCATION Remote, U.S.-based · HQ: Richmond, VA · travel-based role PRIMARY MARKETS Life Sciences · Consumer Products · Custom Filtration · Greentech / Alternative Energy · Industrial TRAVEL Regular travel for customer visits, trade shows, supplier meetings, and team collaboration ABOUT THRYVE AUTOMATION THRYVE Automation designs and builds turnkey automation systems, custom equipment, and engineered manufacturing solutions for customers across life sciences, consumer products, custom filtration, greentech / alternative energy, and industrial markets. From our base in Richmond, Virginia, we combine robotics, controls, machine vision, and deep process expertise to solve complex production challenges — and we’ve built a reputation for delivering systems our customers can count on. We’re investing in the commercial team that will carry that reputation into new accounts and markets. This is a high-ownership, high-visibility role for someone who wants their wins to shape where the company goes next. WHY YOU’LL WANT THIS ROLE • Real ownership. You own your accounts and pipeline end to end, with the autonomy to set strategy across your markets., • Direct impact. You report to the Director of Sales with a clear line to leadership — your results visibly move the company’s growth., • Something real to sell. Engineered systems you can stand behind, backed by a delivery team known for follow-through., • Uncapped earning potential. Your compensation scales with the value you create — no ceiling on commission., • Room to grow. A genuine runway into senior commercial leadership as the business scales. PURPOSE OF THE ROLE The Senior Account Manager is a strategic, customer-facing growth role responsible for expanding THRYVE Automation’s market presence, developing new customer relationships, and advancing complex engineered automation opportunities that align with the company’s growth plans. This role complements the Director of Sales by owning targeted account development, building qualified pipeline, and converting strategic opportunities into profitable, executable programs. Success requires ownership, accountability, strong customer discovery, and the ability to engage stakeholders from the plant floor to executive leadership. The Senior Account Manager coordinates closely with Sales, Applications, Engineering, Project Management, Operations, Finance, and Leadership to protect customer commitments, support proposal quality, and reinforce THRYVE’s reputation for delivery. PERFORMANCE TARGETS • First-year order intake target set in alignment with the Annual Operating Plan and company growth priorities — a typical target of $10 million in qualified bookings per year., • A healthy, qualified pipeline with accurate opportunity data, clear next steps, and consistent CRM discipline., • New customer acquisition, strategic account growth, target-market penetration, and forecast-contribution objectives established with the Director of Sales. KEY RESPONSIBILITIES Account Development & Revenue Generation • Identify, qualify, and advance new opportunities for turnkey automation systems, custom equipment, process automation, and engineered manufacturing solutions., • Own assigned accounts and target prospects through the full sales cycle — from discovery and relationship development through proposal, negotiation, and close., • Re-engage prior customers and leverage company systems, market intelligence, referrals, and trade-show activity to uncover new opportunities., • Represent THRYVE with professionalism, responsiveness, and sound commercial judgment in every customer interaction. Target-Market Penetration • Develop focused account plans and outreach strategies for life sciences, consumer products, custom filtration, greentech / alternative energy, and industrial markets., • Identify applications, customer segments, and strategic accounts that align with THRYVE’s capabilities, capacity, and long-term growth objectives., • Monitor customer needs, market trends, competitor positioning, and buying behavior; translate insights into actionable recommendations for sales leadership. Consultative Selling, Qualification & Proposal Support • Execute a disciplined sales process focused on customer discovery, business value, technical feasibility, commercial fit, and opportunity qualification., • Understand customer pain points, production flows, manufacturing constraints, budget drivers, and decision-making structures., • Support pricing strategy, margin protection, scope alignment, risk identification, customer-facing proposal reviews, and win/loss learning. Pipeline Management, Forecasting & CRM Discipline • Maintain accurate, current, and complete opportunity data in HubSpot or the company CRM system., • Provide reliable pipeline updates, forecast input, and deal-risk visibility to the Director of Sales and Leadership Team., • Identify risks, gaps, and next steps across assigned opportunities and escalate material changes in a timely manner. Cross-Functional Execution & Customer Success • Serve as the voice of the customer internally — bringing market feedback, application needs, competitive intelligence, and customer concerns into internal discussions., • Partner with internal teams to support a strong handoff from sale to execution, protecting scope, schedule, profitability, and customer expectations., • Stay engaged after award where appropriate to support relationship continuity, customer satisfaction, and future expansion. QUALIFICATIONS & COMPETENCIES Experience • 7+ years of B2B sales, account management, business development, or sales-engineering experience (preferred)., • Demonstrated success selling complex engineered solutions, custom automation, capital equipment, robotics, vision, controls, machine-building, or adjacent manufacturing solutions., • Experience with long sales cycles, multi-stakeholder buying processes, technical discovery, and value-based selling., • Familiarity with life sciences, consumer products, filtration, energy, industrial manufacturing, or other engineered production environments is a strong advantage. Skills & Capabilities • Strong command of consultative, solution-based selling — translating customer requirements into qualified opportunities and executable action plans., • Working knowledge of automation technologies: robotics, PLCs, motion control, machine vision, sensors, industrial networking, data collection, inspection, assembly, material handling, and process equipment., • Strong commercial judgment — able to evaluate scope, pricing trade-offs, customer fit, risk, and strategic value., • Proficient with Microsoft Office, Teams, email, file management, CRM systems, and sales analytics; HubSpot experience preferred. Leadership & Character • High-integrity, customer-first operator trusted by customers, colleagues, and leadership., • Self-motivated, action-oriented, entrepreneurial, adaptable, and persistent in the face of ambiguity or setbacks., • Strong relationship builder with excellent written and verbal communication skills., • Naturally collaborative and team-centric, willing to work across functions to solve problems and advance the business., • Competitive and energized by targets, while maintaining professionalism, humility, and a continuous-improvement mindset. Education • Bachelor’s degree in engineering, business, or a related field preferred; relevant technical and commercial experience may be considered in lieu of a degree., • Formal sales training, a technical-sales background, or experience in engineered manufacturing environments is preferred. WHAT SUCCESS LOOKS LIKE — FIRST 12 MONTHS • Achievement of assigned order-intake, pipeline-generation, and new-customer development targets., • A clear, actionable target-account strategy for your assigned markets and territories., • Strong, trust-based relationships with priority prospects, customers, and internal stakeholders., • Consistent CRM discipline, accurate pipeline visibility, and reliable forecast input., • Meaningful contribution to THRYVE’s go-to-market strategy, proposal quality, customer engagement, and long-term growth., • A reputation — internally and externally — as a high-integrity account leader who follows through, communicates clearly, and elevates the team. BENEFITS & PERKS • Medical, dental, and vision coverage, • 401(k) retirement plan, • Paid time off, paid holidays, and remote flexibility, • Full reimbursement of travel and customer-related expenses, • Professional development, training, and conference support PHYSICAL REQUIREMENTS • Able to lift at least 25 lbs., • Able to work at a computer/laptop for a minimum of four hours at a time., • Able to communicate via phone, video, email, and messaging tools throughout the day., • Able and available to travel regularly for customer visits, trade shows, internal meetings, supplier meetings, and project-related activity. EQUAL OPPORTUNITY EMPLOYER THRYVE Automation is an equal opportunity employer. We celebrate diversity and are committed to an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, nation, origin, age, disability, veteran status, or any other characteristic protected by law.

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) 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. What you’ll do in the role: 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: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value 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) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code 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 Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Manager IC) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You’ll Do: 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Be Part Of A High-Performing Team: Join a mission-driven technology organization focused on improving the aging and long-term care experience for families, caregivers, and care seekers. This team is building modern digital solutions that bring together care options, resources, education, and human support into a more connected and accessible experience. The environment is collaborative, product-focused, and purpose-driven, with a strong emphasis on learning, inclusion, and building technology that creates meaningful real-world impact. What's In Store For You: This is a full-time opportunity available to candidates in Richmond, VA on a hybrid basis or remote candidates residing in approved Eastern Time Zone states. The role offers the opportunity to work on production-grade AI and machine learning solutions, contribute to scalable ML foundations, and partner closely with product, engineering, platform, data, and business stakeholders. Employees are offered comprehensive benefits, retirement savings options, generous paid time off, paid holidays, paid family leave, wellness support, tuition reimbursement, student loan repayment, and training/certification support. This role is not eligible for employment visa sponsorship. How You Will Make An Impact • Design, build, train, evaluate, and deploy machine learning models for predictive analytics, classification, NLP, anomaly detection, generative AI, and other applied AI use cases., • Develop production-ready AI/ML solutions on a Databricks Lakehouse platform using Python, Spark, MLflow, Delta Lake, and related tools., • Build scalable feature pipelines, training workflows, validation processes, and model refresh cycles that are automated, reproducible, and reliable., • Own the end-to-end ML lifecycle, including experimentation, model registry, deployment, monitoring, drift detection, model performance tracking, and ongoing optimization., • Design modular ML architectures that integrate with APIs, data warehouses, microservices, and downstream applications., • Develop LLM-powered applications, prompt engineering strategies, retrieval-augmented generation systems, embeddings, vector search, and related AI capabilities where appropriate., • Partner with data engineering, product, platform engineering, and business stakeholders to turn ambiguous business opportunities into measurable AI/ML outcomes., • Support experimentation through A/B testing, offline and online evaluation frameworks, statistical validation, and clear communication of results., • Document models, systems, decisions, and workflows in a way that enables future engineers and cross-functional teams to adopt and maintain solutions. Are you an experienced ML/AI engineering professional ready to build production-grade intelligent systems? • 7+ years of experience in machine learning, applied AI, machine learning engineering, or a similar hands-on technical role., • Strong hands-on expertise with Python, Spark, Databricks, MLflow, SQL, and large-scale distributed datasets., • Experience building, deploying, and monitoring machine learning models in production environments., • Strong understanding of modern ML techniques, including supervised learning, unsupervised learning, deep learning, transformers, embeddings, vector stores, and LLM-based systems., • Experience designing reproducible ML pipelines, CI/CD workflows, model deployment patterns, and observability practices., • Solid software engineering foundation, including version control, testing, modular architecture, maintainability, and production reliability., • Ability to communicate technical concepts clearly to non-technical stakeholders and influence technical direction across teams., • Experience working in agile product environments with product managers, engineers, data teams, and business partners., • Nice to have: Databricks Model Serving, Unity Catalog, Feature Store, Delta Live Tables, RAG systems, LLM fine-tuning, model distillation, AWS, Azure, Kubernetes, containers, real-time ML, streaming data, or event-driven architectures., • Strong curiosity, collaboration skills, ownership mindset, and ability to work through ambiguity with incomplete data or evolving requirements. #dice

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $35-$50 hourly DOE, • Sign-on Bonus: Up to $5,000 DOE, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and 401(K)., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications:, • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school is a plus!, • Minimum 5+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets is a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance.

Job DescriptionRetail Store Specialist Richmond, VA | Full-Time About the Role A memorable retail experience starts with people who know how to connect with customers, solve problems and make the buying process easy. Whether you've worked as a retail associate, retail sales associate, sales associate or store associate, you know that great customer service can turn a routine purchase into a positive customer experience. We're looking for a Full-Time Retail Store Specialist who can wow customers with exceptional customer service and support daily store operations in Richmond, VA. This retail store job is ideal for someone who enjoys being part of a close-knit team and loves working with people. At Saf-Gard® Safety Shoe Company, we believe in keeping things straightforward. No unnecessary bureaucracy. No corporate runaround. Just good people working together to help hardworking customers stay safe on the job. What You'll Do • Provide friendly, knowledgeable customer service while helping customers select safety footwear, • Learn product lines and explain features, fit and benefits to customers, • Learn and use Aetrex Foot Scanning Technology to help customers optimize fit, • Process sales transactions, including cash and credit card payments using POS systems and mobile checkout tools, • Look up customer information, purchase history and program details within company systems, • Maintain clean, organized and fully stocked showroom displays while supporting visual merchandising initiatives, • Merchandise incoming inventory and assist with inventory management and product organization, • Support local store growth through outreach, marketing and customer engagement efforts, • Assist with store operations and administrative support tasks as needed, • Help create a positive, team-oriented store environment as a valued retail team member, • Cross-train in other administrative office duties, ordering supplies, receiving mail, etc., • Other duties as assigned.What We're Looking For, • At least 1 year of retail sales or customer service experience, • Strong communication and interpersonal skills, • Friendly, dependable and customer-focused attitude, • Ability to stay organized and manage multiple responsibilities, • Comfortable learning new systems and technology, • Ability to work both independently and as part of a team, • Experience handling cash and credit card transactions accurately, • Ability to learn and use our retail operating systems (Navision), • Must have reliable vehicle to support two locations, you must be able to drive yourself on site for one location, • Pass a drug screen Schedule, • Full-time position, • M-W-F 7am-12pm onsite location, • M-F 9am-5pm, • Saturday availability required, • On-site role supporting two Richmond-area locationsCompensation & Benefits, • Company-paid dental, vision, long-term disability, short-term disability, and life insurance beginning the first of the month after 60 days, • Multi-tiered medical insurance plans to choose from (benefits valued at over $10,000 annually), • 8 paid holidays per year, • PTO is available after 90 days, accrued bi-weekly at a rate of 3.08 hours (2 weeks annualized after 1st year). Bi-weekly accrual rate increases to 4.62 hours after 7 years (3 weeks annualized), • 401(k) plan with 50% employer match on first 6% of employee base pay, • Stable, long-term career opportunities with room for growth and advancement, • Supportive, team-oriented work environment, • Cross-training and development opportunities across departments About Saf-Gard® We've been in the safety footwear business for more than 40 years. We know safety matters. We also know relationships matter. That's why we work hard to make things easier for our customers and for each other. At Saf-Gard®, you're not just another employee buried in a corporate machine. We're a close-knit family that believes in working hard, helping each other out and treating people the right way. We've built a culture around trust, teamwork and common sense, and it's helped us grow for more than four decades.

Job Description Job Title: New Hire Utility – Tube Mill Operations Job Description The New Hire Utility role focuses on learning and performing a wide range of duties within a tube mill and extrusion manufacturing environment, including operating and supporting production equipment, handling aluminum products, and maintaining quality and safety standards. You start as a Utility employee, gain experience across multiple departments, and, upon becoming permanent, move into a specific department where you can continue to grow and bid into other roles over time. Responsibilities • Learn to operate equipment associated with the tube mill and extrusion processes, including extrusion and casting machinery, press machines, and related production equipment., • Support tube mill operations by assisting machine operators, moving materials on and off machines using proper lifting techniques and hoists, and ensuring smooth production flow., • Handle aluminum products and other materials throughout the manufacturing process, including loading, unloading, packing, and general material handling tasks., • Perform general labor and production support duties such as assembly line work, machine operation, packaging, and use of hand tools as needed., • Conduct visual inspections and quality checks on products to ensure all quality objectives and specifications are met, following standard operating procedures (SOPs) and quality assurance guidelines., • Report and review any unusual conditions, equipment issues, or safety concerns with lead operators or supervisors promptly to maintain safe and efficient operations., • Accurately complete all required documentation and production records, using clear verbal and written communication to support both the Utility role and ongoing career progression., • Work collaboratively on a team, interacting regularly with team members and management to meet daily production goals and support continuous improvement efforts., • Participate actively in cross-training across multiple departments, learning machine operating, quality, packing, inspecting, and other functions to build broad operational knowledge., • Adhere to safe job practices at all times, including proper use of PPE, safe lifting techniques, and safe operation of machinery and motorized equipment., • Maintain a clean and orderly work area, including cleaning up grease, oil, and other hydraulic fluids that are part of the metals manufacturing process and necessary for machine lubrication., • Operate or learn to operate forklifts and other material handling equipment to move product and supplies safely throughout the facility., • Follow union-related guidelines regarding shift movement, job bidding, and flexibility requirements, whether or not you are a union member., • Meet physical demands of the role by frequently lifting 15–50 lbs and occasionally up to 100 lbs with assistance, stepping on and off machinery, bending, pushing, and pulling objects, and working around large, complex equipment., • Support long shift schedules in the tube mill, including potential 10–12 hour days and up to 6 days per week, while maintaining consistent performance and reliability. Essential Skills • 1–2 years of experience in manufacturing, general production, or material handling in a manufacturing environment., • Hands-on experience in production support, machine or assembly work, or related industrial roles., • Basic machine operating and machine operation skills, including familiarity with press machines or similar equipment., • Experience with general labor tasks such as loading, packaging, assembly, and use of hand tools., • Ability to perform visual inspection, quality checks, and basic quality control or quality assurance tasks., • Understanding of manufacturing processes and assembly line operations, including process flow of raw materials through production., • Mechanical aptitude and interest in learning complex machinery, including both older equipment and newer robotic systems., • Strong verbal and written communication skills to complete documentation and interact effectively with team members and management., • Ability and willingness to learn forklift operation if not already experienced, with a proactive, “can do” attitude toward cross-training., • Capability to work all three shifts (7–3, 3–11, 11–7) in a rotating tube mill schedule and to adjust as shifts are dictated and bid through union processes., • Physical ability to frequently lift 15–50 lbs and occasionally up to 100 lbs with assistance, step over obstacles, get on and off machinery, bend, push, and pull objects in excess of 15 lbs, and pull objects up to 100 lbs., • Comfort working around grease, oil, and hydraulic fluids, and willingness to clean these materials as part of normal metals manufacturing operations., • Reliability in completing onboarding requirements within the probationary period in alignment with union guidelines. Additional Skills & Qualifications • Previous experience in a manufacturing environment with large, complex machinery, including both legacy and modern robotic equipment., • Experience with inventory tasks and basic production-related record keeping., • Prior exposure to quality assurance processes in manufacturing, including inspection and documentation of product quality., • Familiarity with forklifts and other powered industrial trucks is beneficial., • Experience working in a union environment or in roles where shift bidding and flexibility are required., • Ability to thrive in non–climate-controlled, loud industrial environments with variable temperatures across seasons., • Strong work ethic, integrity, and a team-oriented mindset that aligns with a values-driven manufacturing culture. Why Work Here? You join a values-driven organization that places integrity, strong work ethic, and personal growth at the center of its culture. The facility offers a best-in-class new hire orientation and training program, along with ongoing opportunities to complete additional job training that can increase your base hourly wage and open pathways to multiple roles inside the extrusion department. You benefit from monthly performance-based incentive bonuses, annual pay increases, a company match for 401(k), and excellent, low-cost medical coverage with company-paid dental and vision benefits. Vacation eligibility begins after 90 days of consecutive employment, and overtime opportunities allow you to enhance your earnings. The company provides PPE and invests in its people, aiming to make every new hire a better person through meaningful work, strong core values, and a supportive environment that attracts and develops talented individuals. Job Type & Location This is a Contract to Hire position based out of North Chesterfield, VA. Pay and Benefits The pay range for this position is $20.81 - $20.81/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 North Chesterfield,VA. Application Deadline This position is anticipated to close on Jul 16, 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.

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You’ll Do: 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: 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. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

$80 - $90/hourpayCalculusData Analysis & InterpretationLiterature ReviewExperimental DesignResearch Methodologymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Deliver authoritative written responses to complex engineering prompts in your area of expertise, • Review and interpret scientific literature to provide contextually accurate and current insights, • Design and document realistic experimental scenarios based on advanced engineering principles, • Analyze data and interpret results to inform AI training datasets with precision, • Apply sophisticated calculus and quantitative methodologies to problem-solving tasks, • Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines, • Collaborate with project coordinators to refine prompt response quality as needed Preferred Qualifications • PhD in Electrical, Mechanical, or Chemical Engineering, • Demonstrated expertise in calculus, data analysis, research methodology, and experimental design, • Exceptional written and verbal communication skills with the ability to convey complex concepts clearly, • Strong literature review capabilities and familiarity with synthesizing scientific knowledge, • Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required), • Proven ability to produce "golden response" level deliverables with accuracy and completeness, • Detail-oriented mindset and commitment to high-quality, impactful contributions

$20 - $70/hourpayKritaIllustrationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Krita Expert Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities • Develop full-fledged digital illustrations in Krita, from initial sketch to final polish, while adhering to best practices and structured layer management., • Perform hour-long, live illustration workflows in a virtual machine, capturing each step of your process for AI training purposes., • Demonstrate and articulate your creative decision-making, effectively communicating both written and verbally with the team., • Collaborate closely with project coordinators to ensure workflows meet high standards and align with AI research objectives., • Utilize advanced Krita features and tools, sharing insight into professional techniques and methodologies., • Provide clear documentation and feedback on your workflows to support continuous improvement of AI systems., • Uphold a high level of organization, structure, and quality across all artwork produced. Required Skills and Qualifications • Demonstrated expertise in Krita with a professional or extensive freelance portfolio showcasing complete illustration projects., • Mastery in digital illustration and structured layer-based workflows from rough sketch to refined artwork., • Strong written and verbal communication skills, with a focus on articulating creative processes and feedback., • Hands-on experience in using Krita’s advanced features, brushes, and layer management tools., • Ability to consistently work independently within virtual environments and meet project goals., • Meticulous attention to detail and a commitment to producing polished, high-quality art assets., • Proven ability to document and communicate workflow steps clearly for technical and non-technical audiences. Preferred Qualifications • Previous experience training or collaborating with AI or machine learning teams on creative projects., • Background in art education or content creation around digital illustration tools., • Familiarity with recording and explaining digital illustration workflows for educational or research purposes.

$40 - $85/hourpayPython3JAVARustAlgorithmsBasics C++Typescriptbug fixingfeature implementationcodebase refactoringperformance optimizationmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Senior Software Engineer Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. As an expert you will be creating Reinforcement Learning Environments which test an AI model's ability to solve complex software engineering workflows. These workflows are similar in scope to common DevOps | CI/CD | Debugging workflows using common cli tools such as git, docker, gdb, asan, ffmpeg and many more. Your task will be to create reproducible rl environments that test a model's ability to solve these workflows along with a golden reference solution. Required Skills and Qualifications: • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset., • Deep understanding of algorithms, data structures, and performance tuning., • Demonstrated experience in debugging complex software issues and delivering maintainable solutions., • Strong background in feature development and codebase refactoring., • Proven ability to optimize software for performance and scalability., • Exceptional written and verbal communication skills, with a keen attention to detail., • Track record of success in collaborative, cross-functional teams, ideally in remote settings. Preferred Qualifications: • Previous experience working on large-scale, distributed codebases., • Familiarity with modern AI or machine learning systems is a plus, though not required., • Background in participating in rigorous code reviews and contributing to the development of software best practices. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

$50 - $90/hourpayEthical JailbreaksLLM Red TeamingPrompt InjectionTool-Use Abusemicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: AI Jailbreak & Prompt-Injection Security Expert Role Type: Contractor Location: Remote micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios., • Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models., • Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities., • Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness., • Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation., • Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences. Preferred Qualifications • 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain, • Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks., • Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background., • High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations., • Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving., • Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus., • Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized the value of our business and Tiger Analytics leadership. We are seeking an experienced Risk Management Professional to support the identification, assessment, monitoring, and mitigation of enterprise risks, with a primary focus on Data Risk and Cyber Risk. This role will work closely with business, technology, compliance, security, and operational teams to ensure risks are effectively managed within the organization's risk appetite and in compliance with regulatory requirements. The ideal candidate will have a strong understanding of risk management practices within financial services or other highly regulated industries and possess exceptional stakeholder management and communication skills. Requirements • Identify, assess, monitor, and mitigate enterprise risks, with a focus on data and cyber risk domains., • Partner with business, technology, security, compliance, and operational teams to evaluate risk exposure and implement appropriate controls., • Conduct risk assessments and control evaluations to identify potential vulnerabilities and emerging risks., • Support the development and maintenance of risk frameworks, policies, procedures, and governance processes., • Monitor risk indicators and prepare risk reports, dashboards, and presentations for senior leadership and governance committees., • Ensure compliance with regulatory requirements, industry standards, and internal risk management policies., • Facilitate risk discussions with stakeholders and provide recommendations for risk mitigation strategies., • Support issue management, remediation activities, and ongoing risk monitoring efforts., • Collaborate with internal audit, compliance, and information security teams on risk-related initiatives and assessments. Requirements • 9-12 years of experience in Enterprise Risk Management, Operational Risk, Technology Risk, Cyber Risk, Data Risk, or a related field., • Strong understanding of risk management principles, frameworks, and governance practices., • Experience working in financial services, banking, insurance, healthcare, or other highly regulated industries., • Knowledge of cyber security, information security controls, data governance, and data privacy concepts., • Strong analytical, problem-solving, and critical-thinking skills., • Excellent communication, presentation, and stakeholder management abilities., • Experience preparing risk reports and presenting findings to senior leadership., • Ability to work independently and collaboratively in a fast-paced environment. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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 Description Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities. Job Summary We are expanding and seeking a highly strategic, relationship-driven sales leader to drive growth within large dealer groups on the east coast. This role is focused on enterprise-level partnerships rather than single-store transactions. The right candidate understands how large dealer groups buy, budget, and scale technology across rooftops and knows how to align corporate strategy with store-level Execution. This is an opportunity for a high-impact professional who wants to operate at a strategic level and build meaningful, long-term partnerships within some of the most influential dealer groups in the country. Key Responsibilities • Develop and expand corporate-level relationships within large dealer groups., • Navigate complex buying structures across executive leadership, operations, marketing, and rooftop management., • Drive multi-store agreements and long-term strategic partnerships., • Identify underpenetrated opportunities and grow the enterprise footprint., • Lead performance-based conversations centered on operational impact, inventory strategy, OEM alignment, and measurable ROI., • Partner cross-functionally to ensure successful implementation and retention. Qualifications • 7+ years automotive industry experience., • 5+ years selling to large dealer groups or enterprise automotive organizations., • Retail dealership experience combined with vendor experience is strongly preferred., • Proven track record closing multi-rooftop agreements., • Strong executive presence and business acumen. You Are: • Deeply rooted in the automotive industry with established dealer group relationships., • Experienced selling SaaS or technology solutions at the enterprise level., • Equally fluent in the boardroom and the showroom., • A strategic operator who understands dealership retail operations, buying structures, and corporate decision-making., • A self-driven leader who thrives in complex, high-accountability environments. Pay: $100,000 - $120,000 base salary + a generous commission structure (OTE potential is $200,000 - $300,000) Benefits: Medical, Dental, Vision, Matching 401k. Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Lotlinx is not currently able to offer sponsorship for employment visa status. Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada. Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.

$50 - $120/hourpayCocos2d-xGame Developmentmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Cocos2d-x Junior Game Developer Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Develop and refine game logic, mechanics, and features using Cocos2d-x for prototype and production-level projects., • Collaborate closely with the customer's team to provide high-quality real-world input for AI training processes., • Create, modify, and troubleshoot game assets and scenes to support a diverse set of training objectives., • Test, debug, and optimize Cocos2d-x code to ensure robust and efficient gameplay experiences., • Document code and processes thoroughly, ensuring clarity for both technical and non-technical stakeholders., • Engage in open, clear written and verbal communication to report project status and challenges., • Work iteratively in response to feedback, consistently improving deliverables for AI development needs. Required Skills and Qualifications: • Solid knowledge of Cocos2d-x and hands-on experience with 2D game development workflows., • Strong problem solving and troubleshooting abilities in a game development context., • Experience collaborating remotely with distributed teams in a fast-paced environment., • Excellent written and verbal communication skills, with a focus on clear, concise updates and documentation., • Ability to follow technical specifications and adapt to evolving project requirements., • Understanding of game design principles and player experience optimization., • Self-motivated, detail-oriented, and eager to grow within a dynamic AI training environment. Preferred Qualifications: • Experience working on projects for AI training or data generation purposes., • Familiarity with additional game engines or programming languages., • Background in collaborating with AI or machine learning specialists.

Job Description The Mechanical Assembly Technician is responsible for constructing/assembling mechanical parts and components to create new products according to client specifications, following blueprints and schematics to ensure correct build and quality. Additionally, this position performs diagnostic tests on assembled items and conducts adjustments when needed to make sure the final product functions efficiently and effectively. Roles and Responsibilities: Assembly Knowledge- • Minimum 10 years of proven experience in mechanical assembly within the automation and manufacturing industry., • Ability to understand and interpret mechanical assembly prints, pneumatic drawings and blueprints., • Comprehensive knowledge of mounting gearboxes, drive gears, servo motors and air cylinders for proper alignment and function., • Knowledge of precision measuring equipment: laser levels, calipers, micrometers, height gauge, machinist level, gauge blocks/pins and dial indicators., • Strong knowledge of manual mill and lathe with the ability to manufacture and modify parts efficiently, • Expertise in identifying, debugging, and troubleshooting issues in a timely manner., • Understanding different types of hardware and their uses and strength grades., • Effectively identify and troubleshoot issues in a timely manner., • Able the use basic shop equipment: bandsaw, grinder, power tools, drill press, belt sander, drill and hand tools. Operations- • Perform and lead debug activities during machine build, working with engineers and technicians to identify root causes and implement corrective actions., • Utilizing technical documentation (schematics, drawings, specifications, etc.), as well as hand tools (screwdrivers, soldering guns, drills, etc.), assemble, inspect, modify, and install (as required) mechanical components, framework, and tooling mechanisms, etc. that will be incorporated into machine assembly for clients., • Occasional mechanical rework of parts (cutting, grinding, drilling, tapping, etc.) may be required to complete assigned tasks., • Perform all assigned tasks in a limited amount of time while following quality limits and safety practices., • Conduct quality control checks to ensure products align with company and client standards., • Troubleshoot problems with equipment and/or components to determine proper operation or need for adjustments or replacement., • Maintain detailed records of a product’s development process, including but not limited to changes to construction documentation to reflect machine ‘as built.’, • Utilize E-Plan, a necessary, to add notes/adjustments, etc. (re-line) to reflect any changes/additions, etc., • Alter/adjust as-built schematic drawings for mechanical changes and provide to engineering department for updates., • Collaborate with colleagues (technicians, engineers, etc.) to create cohesive and effective products., • Identify and suggest productivity and/or quality improvements to supervisors and/or engineers., • Ensure proper maintenance and quality of machinery, equipment, and tools. Leadership – Developing Self and Others- • Acts as a debug leader, providing directions to other technicians during troubleshooting and machine commissioning., • Participates with team to set and reach higher goals in execution of tasks and in gaining work-related knowledge., • Participates in strategy sessions with team to determine new or enhanced approaches for systems and processes that will enhance and improve customer experience and results., • Models development by continuously learning and applying new information about work-related knowledge and administrative activities., • Participates in formal continuing education through coursework, workshops, seminars, etc. that are approved and recommended by management, as well as are applicable areas in the field, including materials, processes, and methods., • Empowers others to always strive to do their best, set and reach higher goals, and maintain a continual attitude toward growing and gaining knowledge., • Attends and participates in team and/or company-wide meetings as required. Abilities Required (training, education, certifications, methods of task implementation): • 10+ years of proven experience in mechanical assembly within the automation and manufacturing industry., • Expertise in debug and troubleshooting methods, acting as a technical leader in this area., • Proven experience in mechanical assembly within the automation and manufacturing industry., • Ability to work in a fast-paced, multi-tasking, cross-functional environment., • Has a working knowledge of client standards and preferences., • Strong math abilities., • Ability to utilize basic computer tasks/functions (email, file directories, e drawings, etc.)., • Ability to utilize basic Google products (calendar, email, Google Plus, etc.)., • Capable of passing test to operate a forklift. Desired Characteristics (traits and behavior needed to perform job tasks with excellence and reflecting the values of your company): • Passionate about Jewett Automation organizational causes, growth, desired outcomes, etc., • Self-motivated with strong initiative., • Effective verbal communication skills: ask clarifying questions, participate in active listening, deliver clear and concise information, direction, or instruction., • Unwavering commitment to quality with exceptional attention to detail., • Maintain a clean, functional, and safe work area., • Thrives in a collaborative, team environment and can work independently when required/needed., • Positive and energetic disposition., • Process-oriented with ability to switch tasks easily., • Good decision-making abilities: determine issue variables and effective solutions in a timely manner., • Ability to acquire and retain knowledge/information quickly., • Strong analytical and problem-solving skills and practiced behavior., • Willingness to do any task assigned. Physical Requirements: • Ability to lift at least 50-75 lbs., • Ability to stand and/or sit a minimum of four hours at a time, using hands and arms to finger/handle/reach/feel., • Ability to work on a computer/laptop occasionally as needed., • Ability to maneuver around a shop environment and inspect/observe complex machines, including but not limited to climbing and working from ladders, lifts, etc., • Ability to travel approximately one week at a time throughout the year., • Work environment is factory/warehouse facility that is climate controlled; noise level in the work environment is low to moderate or high (on occasion).

The primary responsibility of the Logistics Modeling team is to intelligently and efficiently plan how CarMax moves vehicles across its nationwide network. Each year, CarMax completes over 2 million vehicle moves, and our data scientists develop algorithms that determine which moves are executed by CarMax and which are handled by third-party logistics partners. For the moves CarMax completes, the team generates detailed plans specifying exactly which vehicles each driver will transport and when. To be successful, these plans must optimize efficiency while ensuring vehicles arrive on time to meet customer and operational needs. Develop optimal planning strategies that meet both short and long term business objectives • Leverage exceptional business knowledge, creativity, vision and analytic skills in order to lead the development of optimal logistics planning strategies, • Develop right optimization strategy given CarMax's unique business model, • Leverage strong analytic communication skills to gain broad buy-in to planning strategies and goals at all levels of the organization, • Continuously improve our logistics strategy by delivering $10-25MM/yr of incremental value Build a highly engaged team of 4-7 Data Scientists with the skills to implement our logistics strategies across millions of moves each year • Create a rewarding and challenging environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists, • Leverage strong functional expertise in a quickly evolving field to ensure that team members have the right technology to meet today's business needs., • Set specific, actionable short and mid-term goals for each team member, • Challenge, develop & recognize team members when they achieve their goals Lead the building of Artificial Intelligence to autonomously plan every move in an optimal way • Leverage strong mathematics, statistics and technology skills (machine learning, Python, etc.) in order to lead the development of sophisticated planning models that autonomously implement our strategies, • Leverage strong computer science and software engineering skills in order to build software that (a) Calculates the optimal logistics plan for each move and (b) Delivers that plan to the logistics team in seconds, • Lead cross functional efforts to implement new models with IT and the field, • Apply exceptional experiment test and design skills in order to measure the business impact of different planning changes CarMax relies on algorithms to efficiently move vehicles across our network of 200+ stores, ensuring optimal routes, driver utilization, and on-time delivery while minimizing transportation costs. Doing so ensures that we have the right cars at the right prices at the right time and place to meet our customers' needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions • Undergraduate degree with exceptional academic performance in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering). Advanced Degree (Master's/Ph.D.) is a plus., • Mathematical, modeling, and reasoning skills in order to build complex planning models, • 4+ years' experience in strategy, analytics and/or data science, • Proven ability to deliver business value by leveraging deep analytic skills in order to solve complex business problems, • Computer programming skills in order to turn the mathematical model into Artificial Intelligence, • Leadership skills necessary to build a highly engaged team and to work cross functionally to implement new logistics models and strategies, • Exceptional verbal, written, and listening skills necessary to (a) effectively manage their team, (b) listen and understand conflicting points of view on complex matters, (c) navigate through potential contentious situations that periodically occur in a change process, and (d) communicate complex ideas., • Experience managing highly analytical projects and people. Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per week Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role. CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®. Our Commitment to Diversity and Inclusion : CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, protected veteran status, disability status, and any other characteristics protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

Sr. Distinguished AI Engineer 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer Overview: 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) Overview Lead AI Engineer 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. Team Description: 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. In this role, you will: 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. 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. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: 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. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. 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. 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. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer 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. What you’ll do in the role: 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: 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. 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). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. 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. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. 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. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished Engineer, AI Compute (Remote Eligible) 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. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master’s Degree in Computer Science or a Master’s Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Otsuka is seeking an experienced Director of Statistics to join our Data Science and AI group to provide statistical leadership and solutions to efficient phase 3b/4/Real-World-Evidence (RWE) study design, global Health Technology Assessment (HTA) and regulatory requirements on advanced statistics needs for our portfolio across therapeutic areas and indications. This role will lead statistical innovation and data insights in HTA and Integrated Evidence Plan (IEP), including efficient statistical design and execution of late-phase clinical trials and real-world studies, AI/ML-based population enrichment, Bayesian methods, RWD/external control, and collaborate closely with cross-functional teams including Global Value Evidence, Global Medical Affairs, Market Access, Regulatory, Biostatistics, Global Clinical Development and Clinical Management. Strategic Leadership in Advanced Statistics : Provide expert statistical guidance for late-phase clinical trials and real-world evidence (RWE) studies across programs including Nephrology, CNS and Rare Disease. Lead statistical contributions to HTAs and Market Access submissions, ensuring that all statistical methodologies meet the necessary regulatory and reimbursement requirements. Contribute to the development and implementation of HTA-related statistical methodologies, such as matching-adjusted indirect comparison (MAIC), Bayesian network meta-analysis and clinical/regional input for health economic models. Ensure that analyses supporting "Consistent with FDA Label" (CFL) claims are scientifically appropriate and statistically sound (SASS). Lead or serve as the key point of contact on various statistics related initiatives. Cross-functional Collaboration : Work closely with Global Value Evidence, Medical Affairs, Market Access, Regulatory, Clinical Management and Global Clinical Development teams to ensure alignment and successful execution of evidence generation strategies. Provide statistical leadership in preparing evidence for HTA submissions and pricing/reimbursement strategies. Collaborate with external vendors and partners to ensure the timely, high-quality delivery of statistical analyses and reports. Evidence Generation and Statistical Support : Lead the development and execution of statistical analysis plans (SAPs) and ensure the integrity and robustness of statistical analyses for clinical trials and real-world studies. Lead the adoption of Bayesian frameworks to maximize data efficiency, specifically designing mechanisms to borrow information from historical trials or external control arms to support study designs and evidence generation. Ensure consistency in statistical methods and analyses across therapeutic areas, particularly for Nephrology, CNS and Rare Disease. Innovative Methodologies and Statistical Tools : Champion the application of machine learning (ML) and predictive modeling techniques to drive population enrichment strategies, identifying high-response patient subgroups to optimize late-phase and real-world study designs. Facilitate Bayesian AI generative models for synthetic control arms and machine learning post-hoc analyses of clinical trials and real-world data (RWD). Stay abreast of the latest developments in HTA, IEP, and statistical methodologies to ensure best practices and efficient approaches. Training and Mentorship : Provide mentorship and leadership to junior statisticians and other team members. Contribute to the creation and maintenance of departmental SOPs and work instructions related to statistical methodologies. Support training and knowledge-sharing within the organization on statistical methods, particularly in the context of HTA, market access, and real-world evidence. Vendor and External Collaboration : Oversee the selection and management of external vendors, ensuring their work aligns with the organization's standards and timelines. Act as the primary statistical liaison in vendor collaborations, providing guidance and oversight to ensure that external analyses meet required standards. Qualifications PhD in Biostatistics, Statistics, or a related field. 8+ years of experience in biostatistics, including substantial expertise in HTA, and supporting statistical and advanced analytics for Market Access, HEOR, and RWE. Deep familiarity with current HTA/regulatory frameworks (Bayesian, CFL, External Control, Covariates adjustment, Patient-Focused Drug Development, Enrichment, AI). In-depth experience with indirect treatment comparisons such as MAIC, NMA, and clinical/regional input for health economic models Proven experience in late-phase clinical trials and real-world studies in multiple therapeutic areas (Nephrology/CNS/Rare Disease is a plus but not required). Knowledge of health economics, pricing and reimbursement, and HTA processes/guidance for global market access. Strong expertise in statistical software packages, including R and SAS. Excellent communication skills in communication complex ideas, challenges, and solutions to the leadership. Proven ability to communicate complex statistical concepts effectively to both technical and non-technical stakeholders. Leadership in effectively managing internal and/or vendor teams to deliver high quality results Leadership and mentoring experience, with the ability to work collaboratively in a cross-functional environment. Competencies Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change. Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business. Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders. Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka. Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals. Empowered Development - Play an active role in professional development as a business imperative. Minimum $186,489.00 - Maximum $278,875.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws. Application Deadline : This will be posted for a minimum of 5 business days. Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits. Come discover more about Otsuka and our benefit offerings; https://www.otsuka-us.com/careers-join-otsuka . Disclaimer: This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting Accommodation Request (EEAccommodations@otsuka-us.com) . Statement Regarding Job Recruiting Fraud Scams At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf. Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment. Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters. To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External . Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka's call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: https://www.ic3.gov , or your local authorities. Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development & Commercialization, Inc., and Otsuka Precision Health, Inc. ("Otsuka") does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka's application portal without a valid written search agreement in place for the position will be considered Otsuka's sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

The Production Supervisor - Converting will be responsible for the safe and efficient production operations within the Converting department of the Richmond, VA facility. In this role you will communicate performance expectations to ensure production targets and metrics are met, achieve production demands, supervise machine productivity and quality, as well as supervising, coaching, and mentoring of team members. This position is located at the Richmond, VA Corrugated Container facility. Relocation is available for the right candidate. How you will impact: • Manage manufacturing employees to include performance reviews and disciplinary actions, • Make recommendations to improve safety, environmental and health of the entire facility, • Manage the day-to-day operations of the shift with constant emphasis on safety, quality, delivery and cost., • Monitor production activities to eliminate waste and ensure adherence to production and shipping schedule, • Work with other team members to control and improve efficiencies, minimize labor overtime, downtime and repair expenses, • Control load factors and workflow to ensure maximum use of available capacity and effective use of labor, tools and equipment, • Execute safety briefs to team members on designated shift, daily, weekly, monthly and annually, • Monitor workplace safety environment to identify and address any unsafe conditions, • Ensure compliance with plant safety regulations, safe work practices, plant policies, and encourage employees to become safety-conscious, • Monitor and track production daily goals for the Converting machines utilizing Key Performance Indicators (KPIs) and report results on the plant scorecard, • Manage workforce planning, including fulfillment of work schedules and adherence to attendance policies (vacations, floating days, call ins, etc.), • Communicate effectively with all functional areas of the plant to ensure all production needs are successfully achieved, • Promote positive employee relations and interdepartmental communication and collaboration, • Supervise daily production activities, including oversight of team members, and monitor performance levels of each team member, • Monitor and participate in Daily Management Systems (DMS) to track progress against production goals and enable performance excellence. What you need to succeed: • High School diploma or G.E.D. Required, • Bachelor's degree (Business Management, Engineering or Operations Management) - Preferred, • 3+ years of converting packaging supervisory experience Required, • Experience working in a Lean environment; Six Sigma Green or Black Belt Certification., • Proven experience in operations, manufacturing, or supply chain, • Excellent communication and listening skills., • Proven track record of effective problem-solving, • Ability to embrace continuous improvement., • Strong collaboration and teaming skills with stakeholders across functions, • Coaching and training employees, • On-shift resource for troubleshooting problems in the process as well as maintenance issues., • Make independent, effective decisions., • Possess the ability to be a self-directed team player., • Flexibility to work multiple shifts. What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Generous benefits including 401 K Matching, Medical, Dental, Vision all starting on day one, Wellness programs, Tuition Reimbursement, Employee discounts and much more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Employee discount, • Health insurance, • Health savings account, • Life insurance, • Relocation assistance, • Tuition reimbursement, • Vision insurance

The Production Supervisor - Converting will be responsible for the safe and efficient production operations within the Converting department of the Richmond, VA facility. In this role you will communicate performance expectations to ensure production targets and metrics are met, achieve production demands, supervise machine productivity and quality, as well as supervising, coaching, and mentoring of team members. This position is located at the Richmond, VA Corrugated Container facility. Relocation is available for the right candidate. How you will impact: • Manage manufacturing employees to include performance reviews and disciplinary actions, • Make recommendations to improve safety, environmental and health of the entire facility, • Manage the day-to-day operations of the shift with constant emphasis on safety, quality, delivery and cost., • Monitor production activities to eliminate waste and ensure adherence to production and shipping schedule, • Work with other team members to control and improve efficiencies, minimize labor overtime, downtime and repair expenses, • Control load factors and workflow to ensure maximum use of available capacity and effective use of labor, tools and equipment, • Execute safety briefs to team members on designated shift, daily, weekly, monthly and annually, • Monitor workplace safety environment to identify and address any unsafe conditions, • Ensure compliance with plant safety regulations, safe work practices, plant policies, and encourage employees to become safety-conscious, • Monitor and track production daily goals for the Converting machines utilizing Key Performance Indicators (KPIs) and report results on the plant scorecard, • Manage workforce planning, including fulfillment of work schedules and adherence to attendance policies (vacations, floating days, call ins, etc.), • Communicate effectively with all functional areas of the plant to ensure all production needs are successfully achieved, • Promote positive employee relations and interdepartmental communication and collaboration, • Supervise daily production activities, including oversight of team members, and monitor performance levels of each team member, • Monitor and participate in Daily Management Systems (DMS) to track progress against production goals and enable performance excellence. What you need to succeed: • High School diploma or G.E.D. Required, • Bachelor's degree (Business Management, Engineering or Operations Management) - Preferred, • 3+ years of converting packaging supervisory experience Required, • Experience working in a Lean environment; Six Sigma Green or Black Belt Certification., • Proven experience in operations, manufacturing, or supply chain, • Excellent communication and listening skills., • Proven track record of effective problem-solving, • Ability to embrace continuous improvement., • Strong collaboration and teaming skills with stakeholders across functions, • Coaching and training employees, • On-shift resource for troubleshooting problems in the process as well as maintenance issues., • Make independent, effective decisions., • Possess the ability to be a self-directed team player., • Flexibility to work multiple shifts. What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Generous benefits including 401 K Matching, Medical, Dental, Vision all starting on day one, Wellness programs, Tuition Reimbursement, Employee discounts and much more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Employee discount, • Health insurance, • Health savings account, • Life insurance, • Relocation assistance, • Tuition reimbursement, • Vision insurance

The Production Supervisor - Converting will be responsible for the safe and efficient production operations within the Converting department of the Richmond, VA facility. In this role you will communicate performance expectations to ensure production targets and metrics are met, achieve production demands, supervise machine productivity and quality, as well as supervising, coaching, and mentoring of team members. This position is located at the Richmond, VA Corrugated Container facility. Relocation is available for the right candidate. How you will impact: • Manage manufacturing employees to include performance reviews and disciplinary actions, • Make recommendations to improve safety, environmental and health of the entire facility, • Manage the day-to-day operations of the shift with constant emphasis on safety, quality, delivery and cost., • Monitor production activities to eliminate waste and ensure adherence to production and shipping schedule, • Work with other team members to control and improve efficiencies, minimize labor overtime, downtime and repair expenses, • Control load factors and workflow to ensure maximum use of available capacity and effective use of labor, tools and equipment, • Execute safety briefs to team members on designated shift, daily, weekly, monthly and annually, • Monitor workplace safety environment to identify and address any unsafe conditions, • Ensure compliance with plant safety regulations, safe work practices, plant policies, and encourage employees to become safety-conscious, • Monitor and track production daily goals for the Converting machines utilizing Key Performance Indicators (KPIs) and report results on the plant scorecard, • Manage workforce planning, including fulfillment of work schedules and adherence to attendance policies (vacations, floating days, call ins, etc.), • Communicate effectively with all functional areas of the plant to ensure all production needs are successfully achieved, • Promote positive employee relations and interdepartmental communication and collaboration, • Supervise daily production activities, including oversight of team members, and monitor performance levels of each team member, • Monitor and participate in Daily Management Systems (DMS) to track progress against production goals and enable performance excellence. What you need to succeed: • High School diploma or G.E.D. Required, • Bachelor's degree (Business Management, Engineering or Operations Management) - Preferred, • 3+ years of converting packaging supervisory experience Required, • Experience working in a Lean environment; Six Sigma Green or Black Belt Certification., • Proven experience in operations, manufacturing, or supply chain, • Excellent communication and listening skills., • Proven track record of effective problem-solving, • Ability to embrace continuous improvement., • Strong collaboration and teaming skills with stakeholders across functions, • Coaching and training employees, • On-shift resource for troubleshooting problems in the process as well as maintenance issues., • Make independent, effective decisions., • Possess the ability to be a self-directed team player., • Flexibility to work multiple shifts. What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Generous benefits including 401 K Matching, Medical, Dental, Vision all starting on day one, Wellness programs, Tuition Reimbursement, Employee discounts and much more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Employee discount, • Health insurance, • Health savings account, • Life insurance, • Relocation assistance, • Tuition reimbursement, • Vision insurance

Electrician / Maintenance Tech II Richmond, VA Shift: Peak Season (March - October) 6 AM - 6 PM Off Season (November - February) 6 AM - 4 PM Pay: $35+/hour based off of experience In this role you will be responsible for supporting the Plant in all maintenance functions including supervising contractors, safety compliance, 5S, completing PMs and scheduling projects. Primary Responsibilities • Installs and repairs electrical systems, apparatus, and electrical and electronic components of industrial machinery and equipment, following electrical code, manuals, schematic diagrams, blueprints, AutoCAD, P&IDs, HVAC repair, and other specifications. Using hand tools, power tools, and electrical and electronic test equipment: Installs power supply wiring and conduct for newly installed machines and equipment, such as conveyors, and programmable controllers, following electrical code and blueprints, using hand tools and voltage tester., • Connects power supply wires to machines and equipment, and connects cables and wires between machines and equipment, following manuals, schematic diagrams, and blueprints, using hand tools and test equipment., • Diagnoses malfunctioning apparatus, such as transformers, motors, and lighting fixtures, using test equipment, and replaces damaged or broken wires and cables, using hand tools. Tests malfunctioning machinery, using test equipment, and discusses malfunction with other maintenance workers, such as Mechanics, to diagnose malfunction., • Replaces faulty electrical components of machine, such as relays, switches, and motors, and positions sensing devices, using hand tools., • Work with various voltages including 480V, 240V and 120V. This includes single and 3 phase circuits. Qualifications • 5 years of journeyman level electrical experience., • Working knowledge of National Electric Code., • Experience in Microsoft Office, • Experience in PLC programming, • Experience in Inventory Management PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. About us: PPG: WE PROTECT AND BEAUTIFY THE WORLD Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @PPG on X. The PPG Way 2030 We are customer champions Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don't stop until we solve their biggest challenges. When our customers win, we all grow. We act with purpose and speed Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value. We are excellent operators Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers. We compete to win Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths. We are PPG proud Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world. At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to https://careers.ppg.com/us/en/candidate-resources. PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression. If you need an adjustment due to a disability, please email _. PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Benefits will be discussed with you by your recruiter during the hiring process. PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

Summary: You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a 0?1 role with enterprise-wide scope, high ambiguity, and direct visibility to leadership. If you want to shape how 70,000+ people work-and measure whether it's actually working-this is the job.We are open to hiring Data Science or Data Engineering profiles. In our world, both are Analytics. The work will span the full spectrum-from building the data infrastructure that powers enterprise measurements to shaping the strategic frameworks that define what "good" looks like. Your title matters less than your demonstrated experience to operate across that range.THE TEAM2026 is a step-function year for AI at Meta. We're not just building AI products for the world-we're fundamentally rewiring how we work internally. This is driven by AI4W (AI for Work), a company-wide effort to integrate AI into every tool, team, and process at Meta.This role reports to Enterprise Analytics leaders and will be one of the experienced ICs on a new "Ecosystem" analytics team. You'll sit at the intersection of the teams actually building Meta's internal AI future (Metamate, Devmate, Analytics Agent, vibe coding platforms) and Enterprise Engineering (EE), which manages 680+ products and 6 of Meta's top 10 internal tools, powering everything from recruiting and financial planning to supply chain operations and employee support. Across EE, we're watching the real-time pivot from "passive AI assistance" to autonomous agents that don't just advise but execute: sourcing candidates, calculating tax provisions, resolving IT tickets, and accelerating analytics workflows through cookbooks, semantic models, and self-serve recipe systems.There is no playbook and the measurement frameworks are nascent. Required Skills: Director, Data Engineering Responsibilities: Firefighter Mode Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday A team claims their AI initiative saved 10,000 hours. You validate (or invalidate) it You rapidly instrument, measure, and communicate whether it's working You jump into whatever is urgent and ambiguous-and you close it Systems Thinker Mode Build measurement frameworks that work across wildly different AI tools and use cases (coding, analytics, recruiting, HR support, supply chain, finance and more) Create the dashboards, workspaces, semantic models and self-serve layers that let stakeholders across the company understand progress without pinging you Design and scale the data pipelines and instrumentation that capture agent telemetry, usage signals, and outcome metrics across a fragmented and fast-moving tool landscape Shape the strategy for how we think about productivity, time savings, and quality improvements in an AI-augmented workforce Influence how Analytics (and business functions) evolve their operating models, job profiles, and organization structures for the AI era Minimum Qualifications: AI power user. You're already a power AI user in your day-to-day work-Metamate, Claude, Cursor, or whatever tools make you faster. You'll set an example for what "AI-native" looks like and help others get there Speed + rigor. You can move fast without being sloppy. You know when to be 60% right now vs. 95% right later Executive communication. You'll regularly present to leadership. Your insights need to be crisp, actionable, and defensible Cross-functional influence. You'll work across dozens of teams (EE, Security, CPP, DevInfra, and more). You need to drive alignment without authority Honesty. Some AI initiatives won't work. Some claimed impact will be inflated. You'll need to call it like you perceive it Preferred Qualifications: Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with productivity/efficiency measurement, internal tools, or enterprise products Familiarity with LLMs, agentic systems, or AI tooling Prior experience in a founding/early team member role Public Compensation: $253,000/year to $314,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Job Description Sr Staff AV Behavior Safety Engineer The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion-and autonomous vehicle safety is essential to achieving that vision. As a Sr Staff AV Behavior Safety Engineer, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 - 4 Automated Driving Systems powered by machine-learned models. You will report into the AV Behavior Safety organization and directly influence launch decisions for GM's next generation of automated driving products. If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML-driven systems, this role is an opportunity to shape how millions of people experience safe automated driving. The Role The AV Behavior Safety Engineering team is seeking a hands-on engineer with extensive experience in the end-to-end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed-course, and public-road validation. Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM's strategy for safe autonomous system development,validationanddeployment Own the behavior-focusedportionof the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behaviorsafety performance. Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end-to-end AV behavior validationmethodologyfor AI-driven systems. Set the strategy forhow we systematicallybreak downODDsand howperformance isvalidatedper behavior and in aggregate. Collaborate onevaluationmetrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance.This includes supporting development of safety performance indicators (SPIs) for AV behaviors. AssessAV performance across safetyand reliability dimensions using simulation, closed-course, and public-road dataand provide clear, prioritized feedback to engineering teams Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness Why This Role Is Unique Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers. End-to-End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety. Cross-Functional Reach: You will collaborate across AI, software,validation, simulation,metricsoperationsand vehicle programteams, shaping the direction of GM's automated driving roadmap. If you're excited to lead in autonomous driving safety, we'd love to hear from you. Your Skills & Abilities (Required Qualifications ) Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field 6+ years of experience inmachine learning,engineering, data science, or a related field 6+ years in autonomous vehicle or robotics development or related field Demonstrated experience working on production-intent AV programs Track recordproviding technical safety leadership in AV development (e.g., defining safety strategies, risk assessments,validation methodologies,safety case contributions). Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed-course, and public-road test data; and generating prioritized, actionable recommendations for developers. Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non-technical stakeholders. Proven ability to influence cross-functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority. Strong problem-solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement. What Will Give You A Competitive Edge (Preferred qualifications) MastersDegreein Computer Science, Engineering,Mathematicsor related field Programming & Frameworks : Python , R, Java, PySpark,PyTorch, TensorFlow, Scikit-learn,LangChain, SQL Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM,XGBoost, Random Forest, Decision Trees, Clustering Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) Deployment & MLOps : MLflow , Model Monitoring & Versioning, Docker & Kubernetes, GitHub , Jira Data Analysis & Visualization : Tableau,PowerBI, Pandas, NumPy Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-KE2 This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) . Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) . Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (https://search-careers.gm.com/en/locations/) We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. Why is Arine a Great Place to Work? Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence. Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care. Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medication therapies cost the US 275,000 lives and $528 billion annually. Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category. The Role: We are looking for a Virginia licensed Clinical Pharmacist to join a strong team of clinicians, analysts, clinical support staff, and trainees to utilize Arine's software platform and to help optimize patient outcomes for our clients. The purpose of this position is to provide an expert level medication therapy consultation to the patients and providers, collaborate with the Engineering team and leadership to improve Arine's software platform, and to help supervise the Clinical Care support team. This candidate will have a direct impact on patient care and the delivery of our core clinical services, stay continuously up-to-date on developments in the fast-moving drug field, and be aware of emerging patterns, treatment guidelines, and best practices. The Clinical Pharmacist receives assignments and functions under the supervision of the Head of Operations to carry out and supervise direct patient care responsibilities and perform a range of functions that include the maintenance and review of patient medication profiles; counseling patients on appropriate drug use; promoting adherence; developing clinical recommendations; reviewing completed medication reviews by other Virtual Pharmacist users; as well as interacting with other health professionals to help improve patient outcomes. Job duties also include assisting with orienting new team members and Virtual Pharmacist users, facilitating prior authorizations, helping patients with finding financial assistance and transportation to help increase medication adherence, review and evaluate clinical guidelines and workflow processes as assigned. All members of the Clinical Care team are expected to communicate effectively, maintain a cooperative working relationship with clients and colleagues, be respectful and accept constructive feedback professionally, and continuously learn new skills to deliver quality customer service and patient care. What You'll be Doing: Evaluate, assess, and document patient data in Arine's software platform and other programs, prepare written reports, and provide oral reports concerning patient care and team progress Complete efficient and thorough medication review and/or adherence counseling appointments Review completed medication reviews and counseling by other Virtual Pharmacist users, as assigned Staff various clinical shifts and work with automation and new technology Respond to questions by patients, providers, and other professional personnel and team members Participate in process improvement meetings to help achieve efficient workflows Communicate effectively in both written and oral formats and provide daily sign-out when applicable Follow-up with clinics, providers, pharmacies, and patients to resolve patient issues and concerns in a timely manner Develop intervention strategies to optimize medication utilization, achieve quality measures, and other established goals Identify opportunities for improvement regarding workflow processes and Arine's software platform Assist with obtaining referrals and authorizations Guide and help oversee other Clinical Care team members Orient new Virtual Pharmacist users to workflows and the Virtual Pharmacist Evaluate and help develop clinical algorithms Comply with all company policies and state and federal rules and regulations Who You Are and What You Bring: Doctor of Pharmacy (PharmD) from an accredited college/university Virginia Licensed Pharmacist and in good standing (multiple state licenses are a plus) Completion of a PGY-1 residency, or equivalent experience Ability to review and assess the appropriateness of prescriptions with respect to age specific, disease state specific considerations Ability to engage with the patients, promote adherence and treat them with empathy and compassion Ability to organize and set priorities which accurately reflect the relative importance of job responsibilities Knowledge of chronic disease states, such as diabetes, heart failure, COPD, asthma, cardiovascular disease, hypertension, dyslipidemia, anxiety, depression, bipolar disorders, and thought disorders Ability to apply judgment and make informed decisions in order to work independently and meet deadlines Ability to work effectively within a team and foster effective working relationships and build consensus Experience working with patients of different cultural, religious, and socio-economic backgrounds Has knowledge of influence of patient's age, sex, concomitant disease states, concurrent drug therapy, foods and diagnostic procedures on drug activity and disposition Has knowledge of local, state and federal regulatory requirements related to areas of functional responsibility Has knowledge of prescription and non-prescription drugs and drug products and their indications, efficacy, dosage, mechanisms of action, major contraindications and potential side effects Willingness and ability to obtain registered pharmacist license in other states, as needed Excellent written and oral communication skills Strong computer skills, including proficiency in Google Workspace and Mac (Apple) environment, with comfort using collaboration and contact-center tools such as Slack and Five9, navigating multiple browser-based systems simultaneously, utilizing keyboard shortcuts, maintaining a high typing speed (WPM), and performing basic technical troubleshooting to stay productive in a phone-based environment Ability to work 40 hours/week (within company operating hours of Monday-Friday, 6AM-6PM Pacific Time, with up to two rotating Saturday shifts/month) Nice-to-Haves: Experience with other electronic medical records Board certification in a specialty area Experience working in a busy healthcare environment Remote Work Requirements: An established private work area that ensures information privacy Reliable internet capable of low latency with the ability to carry video and voice calls without breaking up This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs. This position is temp-to-hire for an expected duration of 6 months, with the possibility of extension or conversion to a permanent role based on performance and business needs. Throughout the temporary period, you will receive full benefits starting from day one. The posted range represents the expected hourly rate for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The hourly pay rate for this position is: $57-65/hour. Seasonality & Schedule: Our Clinical Care team operates within a seasonal business cycle, and we want candidates to have a clear picture of what to expect. During peak season (May through early December), our team plays a vital role in supporting business operations. Workload and scheduling demands increase during this time, and time off may be limited. Optional overtime may also be offered to meet business needs. Each year, the Clinical Care department observes a holiday shutdown of approximately 2–3 weeks between late December and early January. Please note that while Arine remains operational, the Clinical Care department is closed during this period. Following the shutdown, the team transitions back to full capacity on a modified schedule through February, during which some shifts or hours may differ from standard operations. We value transparency and encourage candidates who thrive in dynamic, seasonal environments to apply. Job Requirements: Ability to pass a background check Must live in and be eligible to work in the United States Information Security Roles and Responsibilities: All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine. Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Check our website at https://www.arine.io . This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry! Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding. #J-18808-Ljbffr

Senior Manager, Data Science - Quantum Computing Research (Remote-Eligible) Senior Manager, Data Science - Quantum Computing Research (Remote-Eligible) Overview At Capital One, we are building the future of financial services by exploring technologies that hold the potential to deliver disruptive change. We're looking for a Senior Manager, Data Science - Quantum Computing Research to work on our fundamental and applied research initiatives in quantum information science. The ideal candidate will have a deep theoretical and practical understanding of quantum computing principles and a proven track record of developing innovative quantum algorithms and applications. This role requires a leader who can not only push the boundaries of scientific knowledge but also translate complex research into tangible, real-world solutions. This role has a strong strategic aspect and the successful candidate is expected to shape and guide explorations into the application of quantum computing with an emphasis on those applications that are particularly relevant to financial services, including the intersection of quantum computing and AI. Team Description We are looking for a technical leader who has hands‑on experience with modern quantum computing technologies. We are committed to pushing the boundaries of scientific knowledge and translating complex research into tangible, real‑world solutions that provide a strategic advantage. As part of the first quantum computing team at Capital One, you will have the opportunity to influence the strategic direction of our quantum computing initiatives. You will collaborate with product, technology, and business leaders to apply the state‑of‑the‑art in quantum computing to financial challenges, and identify promising directions for further exploration. You will be expected to be an external leader, representing Capital One in the research community and collaborating with prominent faculty members in the relevant quantum computing research community. In this role, you will: Define and execute a research roadmap focused on characterizing the performance of new and emerging quantum algorithms, protocols, and computational methods on tasks and problems that are relevant to financial services. Conduct cutting‑edge research in areas such as quantum optimization and quantum machine learning. Collaborate with quantum hardware vendors to co‑design algorithms that maximize performance on current and future quantum processors. Publish research findings in top‑tier scientific journals and present at international conferences to maintain a strong presence in the quantum community. Identify and evaluate potential business applications for quantum computing, working with internal and external partners to translate research into commercial value as appropriate. Leverage communication skills to convey complex technical concepts to a diverse audience, from fellow researchers to executive leadership. The Ideal Candidate is: Customer First: You love the process of analyzing and creating but also share our passion for doing the right thing. You know that at the end of the day, it's about making the right decision for our associates and customers. Innovative: You continually research and evaluate emerging quantum technologies. You stay current on published state‑of‑the‑art methods, protocols, and algorithms and seek opportunities to apply them. Creative: You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A Leader: You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Technical: You’re comfortable with quantum programming and are passionate about developing further. You have hands‑on experience developing quantum algorithms and solutions using open‑source tools and quantum cloud computing platforms. Deep Understanding: Has a deep understanding of the foundations of quantum information science and quantum mechanics. Experience: Experience building complex quantum circuits and models, whether for optimization, simulation, or machine learning, as well as expertise in one or more of the following: quantum error correction, quantum complexity theory, or quantum hardware‑software co‑design. Research Mindset: An engineering mindset as shown by a track record of publications, mentoring junior researchers and interns, partnering with academia, attending conferences, representing Capital One at such research forums, and cultivating relationships with academia while also helping build the talent pipeline. Track Record: A professional with a track record of coming up with new ideas or improving existing ones in quantum computing, demonstrated by accomplishments such as first‑author publications or projects. Publications: Has publications in quantum information, physics, computer science, mathematics, or related technical fields. Autonomy: Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long‑running projects. Basic Qualifications Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics At least 2 years of experience leveraging open source programming languages for large scale data analysis At least 2 years of experience working with machine learning At least 2 years of experience utilizing relational databases Preferred Qualifications Ph.D. in Physics, Computer Science, Mathematics, or a related field with a strong focus on quantum information or quantum computing. At least 7 years of experience in quantum computing research and development. At least 7 years of experience partnering with quantum hardware developers to implement and evaluate algorithms. At least 7 years of experience in quantum algorithms (e.g. Shor's algorithm, Grover's algorithm, Variational Quantum Eigensolver (VQE), and Quantum Approximate Optimization Algorithm (QAOA)). At least 7 years of experience in quantum information theory and quantum computing applied to Machine Learning. Excellent verbal and written communication skills with the ability to effectively communicate technical advances and strategy to research scientists, engineering teams, senior executives, and non‑technical audiences. Knowledge of advanced quantum hardware and their associated control systems. Experience with large‑scale classical simulation of quantum systems (e.g., with tensor networks or state‑vector simulators). Experience with production‑level quantum hardware or cloud‑based quantum services. Worked with datasets or systems involving 100+ qubits. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity. 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. Remote (Regardless of Location): $209,000 - $238,500 for Sr Mgr, Data Science McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Learn more at the Capital One Careers website ( https://www.capitalonecareers.com/benefits ) . Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1‑800‑304‑9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

The Production Supervisor - Converting will be responsible for the safe and efficient production operations within the Converting department of the Richmond, VA facility. In this role you will communicate performance expectations to ensure production targets and metrics are met, achieve production demands, supervise machine productivity and quality, as well as supervising, coaching, and mentoring of team members. This position is located at the Richmond, VA Corrugated Container facility. Relocation is available for the right candidate. How you will impact: • Manage manufacturing employees to include performance reviews and disciplinary actions, • Make recommendations to improve safety, environmental and health of the entire facility, • Manage the day-to-day operations of the shift with constant emphasis on safety, quality, delivery and cost., • Monitor production activities to eliminate waste and ensure adherence to production and shipping schedule, • Work with other team members to control and improve efficiencies, minimize labor overtime, downtime and repair expenses, • Control load factors and workflow to ensure maximum use of available capacity and effective use of labor, tools and equipment, • Execute safety briefs to team members on designated shift, daily, weekly, monthly and annually, • Monitor workplace safety environment to identify and address any unsafe conditions, • Ensure compliance with plant safety regulations, safe work practices, plant policies, and encourage employees to become safety-conscious, • Monitor and track production daily goals for the Converting machines utilizing Key Performance Indicators (KPIs) and report results on the plant scorecard, • Manage workforce planning, including fulfillment of work schedules and adherence to attendance policies (vacations, floating days, call ins, etc.), • Communicate effectively with all functional areas of the plant to ensure all production needs are successfully achieved, • Promote positive employee relations and interdepartmental communication and collaboration, • Supervise daily production activities, including oversight of team members, and monitor performance levels of each team member, • Monitor and participate in Daily Management Systems (DMS) to track progress against production goals and enable performance excellence. What you need to succeed: • High School diploma or G.E.D. Required, • Bachelor's degree (Business Management, Engineering or Operations Management) - Preferred, • 3+ years of converting packaging supervisory experience Required, • Experience working in a Lean environment; Six Sigma Green or Black Belt Certification., • Proven experience in operations, manufacturing, or supply chain, • Excellent communication and listening skills., • Proven track record of effective problem-solving, • Ability to embrace continuous improvement., • Strong collaboration and teaming skills with stakeholders across functions, • Coaching and training employees, • On-shift resource for troubleshooting problems in the process as well as maintenance issues., • Make independent, effective decisions., • Possess the ability to be a self-directed team player., • Flexibility to work multiple shifts. What we offer: • Corporate culture based on integrity, respect, accountability, and excellence., • Comprehensive training with numerous learning and development opportunities., • An attractive salary reflecting skills, competencies, and potential., • Generous benefits including 401 K Matching, Medical, Dental, Vision all starting on day one, Wellness programs, Tuition Reimbursement, Employee discounts and much more!, • A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee assistance program, • Employee discount, • Health insurance, • Health savings account, • Life insurance, • Relocation assistance, • Tuition reimbursement, • Vision insurance

Electrician / Maintenance Tech II Richmond, VA Shift: Peak Season (March - October) 6 AM - 6 PM Off Season (November - February) 6 AM - 4 PM Pay: $35+/hour based off of experience In this role you will be responsible for supporting the Plant in all maintenance functions including supervising contractors, safety compliance, 5S, completing PMs and scheduling projects. Primary Responsibilities • Installs and repairs electrical systems, apparatus, and electrical and electronic components of industrial machinery and equipment, following electrical code, manuals, schematic diagrams, blueprints, AutoCAD, P&IDs, HVAC repair, and other specifications. Using hand tools, power tools, and electrical and electronic test equipment: Installs power supply wiring and conduct for newly installed machines and equipment, such as conveyors, and programmable controllers, following electrical code and blueprints, using hand tools and voltage tester., • Connects power supply wires to machines and equipment, and connects cables and wires between machines and equipment, following manuals, schematic diagrams, and blueprints, using hand tools and test equipment., • Diagnoses malfunctioning apparatus, such as transformers, motors, and lighting fixtures, using test equipment, and replaces damaged or broken wires and cables, using hand tools. Tests malfunctioning machinery, using test equipment, and discusses malfunction with other maintenance workers, such as Mechanics, to diagnose malfunction., • Replaces faulty electrical components of machine, such as relays, switches, and motors, and positions sensing devices, using hand tools., • Work with various voltages including 480V, 240V and 120V. This includes single and 3 phase circuits. Qualifications • 5 years of journeyman level electrical experience., • Working knowledge of National Electric Code., • Experience in Microsoft Office, • Experience in PLC programming, • Experience in Inventory Management PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. About us: PPG: WE PROTECT AND BEAUTIFY THE WORLD Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @PPG on X. The PPG Way 2030 We are customer champions Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don't stop until we solve their biggest challenges. When our customers win, we all grow. We act with purpose and speed Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value. We are excellent operators Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers. We compete to win Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths. We are PPG proud Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world. At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to https://careers.ppg.com/us/en/candidate-resources. PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression. If you need an adjustment due to a disability, please email _. PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Benefits will be discussed with you by your recruiter during the hiring process. PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

Job Description **Essential Functions Perform preventative and predictive maintenance on facility machinery. Troubleshoot mechanical/electrical/pneumatic systems using schematics and technical drawings. Repair equipment, fixtures, systems, conveyors and other equipment at facility as required. Lubricate, diagnose, and operate equipment. Work independently and with other team members to complete repairs timely and safely. Complete required daily paperwork, document parts and material usage. Maintain a clean and safe work area. May perform as a back up to production line worker. Understand and follow plant safety rules including safe lifting practices and safe machine operation. Personal Protective Equipment is to be used where required. Regular and predictable attendance is an essential function of the job. Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice. **Qualifications • Minimum Qualifications:- 2 Years – Experience in Field or similar manufacturing environment, • 2 Years – Experience in Position, • 0 Years – Experience managing people/projects *experience may include a combination of work experience and education Required to lift items up to 50 lbs throughout shift. Basic knowledge of Computerized Maintenance Mechanical System (CMMS), this includes experience with HMI’s, work orders, etc. Experience with Microsoft Word, Outlook, Excel, etc. Team members need to provide their own tools, except in California locations where tools will be provided. Preferred Qualifications:- 4 Years – Experience in Field or similar manufacturing environment 4 Years – Experience working in Position 2 Years – Experience managing people/projects *experience may include a combination of work experience and education **Competencies This position embodies the values of Niagara’s LIFE competency model, focusing on the following key drivers of success: Lead Like an Owner • Makes safety the number one priority, • Keeps alert for safety issues and escalates immediately, • Effectively prioritizes tasks based on department goals, • Shows respect to others and confronts interpersonal issues directly, • Prioritizes resolution of customer issues effectively, • Responds promptly and honors commitments to internal and external customers InnovACT • Makes recommendations to continuously improve policies, methods, procedures, and/or products, • Demonstrates adaptability by reacting appropriately to unexpected changes in situations or circumstances, • Increases performance through greater efficiency Find a Way • Seeks to develop technical knowledge through learning from other experts, • Understands interdepartmental impact of individual decisions and actions, • Seeks solutions rather than placing blame Empowered to be Great • Consistently looks for ways to improve one’s self through growth and development opportunities, • Communicates clearly and promptly up, down, and across, • Communicates effectively to manage expectations **Education Minimum Required: High School Diploma Preferred: Associate's Degree in Vocational Training in Mechanical, Electrical, Hydraulics, Pneumatics • Technical School Certification in related field **Certification/License: • Required: N/A, • Preferred: N/A **Foreign Language • Required: None Required, • Preferred: None Required You should be proficient in: • Mechanical Troubleshooting Skills, • Electrical Troubleshooting, • Pneumatics Troubleshooting, • Maintenance and Repair Skills, • Industrial Electrical Experience