32,020 AI Internship jobs in the United States
Data Science(AI)
Posted 22 days ago
Job Viewed
Job Description
Role no : 2
Job Title: Data Science(AI)
Location : Jersey City, NJ
Rate: $80/hr
Position ID: TBD
Experience - 8+
RTTO - 5 Days Onsite
Data Science (AI) - JD
• Strong Python developer
• Must have hands on Gen AI
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Data Science(AI)
Posted 22 days ago
Job Viewed
Job Description
The client provides information technology (IT) services, including business outsourcing, infrastructure technology, and application services. The application service offered by the company includes application development, maintenance, and support. The markets served by the company are financial services and insurance, healthcare, manufacturing, government, transportation, communications, and consumer and retail industries.
Rate Range: $60-$65/Hr
Job Description:
- We are looking for a highly skilled Data Scientist with strong Python development expertise and hands-on experience in Generative AI.
- The ideal candidate will have a solid background in data science, machine learning, and deep learning techniques with proven experience in building and deploying Gen AI models.
- This role demands a mix of research-oriented thinking and practical engineering skills to develop cutting-edge AI solutions.
- Design, develop, and deploy advanced machine learning and Generative AI models.
- Leverage Python to build scalable data pipelines and AI/ML frameworks.
- Apply NLP, LLMs, transformers, and deep learning techniques to real-world problems.
- Analyze large datasets to extract actionable insights and drive decision-making.
- Collaborate with data engineers, product managers, and other stakeholders on AI-driven projects.
- Stay updated with the latest advancements in AI, Gen AI, and ML research.
- Strong Python developer
- Must have hands on Gen AI
About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at .
Applicant Consent:
By submitting your application, you agree to ApTask's ( Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at or Message frequency may vary. Msg & data rates may apply.
Advisor, AI & Data Science- AI/ML
Posted 22 days ago
Job Viewed
Job Description
Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.
Job Purpose and Impact
- The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making. As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework. This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.
Key Accountabilities
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Technical Strategy & Architecture: -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage. -Evaluate and integrate best-fit OSS/commercial tooling
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Platform Engineering & Operations -Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters. -Implement scalable vector databases and caching layers to support low-latency GenAI workloads. -Tune scheduler policies for optimal occupancy and cost. -Monitor system performance, investigate escalations, and lead post-incident reviews.
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Governance & Compliance -Champion data-privacy, model-risk-management, and export-control requirements; embed policy checks into pipelines. -Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations (e.g., food safety, trade compliance).
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Leadership & Mentoring -Coach senior engineers and data scientists on scalable MLOps/HPC patterns. -Lead AI Platform Design Reviews and contribute to internal communities of practice.
Qualifications
-
Minimum requirement: 6 years relevant experience.
-
Typical requirement: 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps. Experience leading cross-functional engineering teams preferred.
#LI-AB4
#FGB
#TheMuse
Equal Opportunity Employer, including Disability/Vet.
Gen AI/Data Science
Posted 22 days ago
Job Viewed
Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Manager, AI & Data Science
Posted today
Job Viewed
Job Description
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
**Job Responsibilities:** Drive projects through the data science lifecycle including, but not limited to, data collection, exploration, analysis, model development, validation, and deployment. Perform data analysis and quantitative modeling, using statistical programming languages like R, Python, SAS, and MATLAB. Research, develop, and consolidate data inputs proactively to create and improve models. Translate business partner needs into business requirements for data science projects, and prioritize opportunities based on anticipated business impact and execution complexity. Validate, document, and review models with governance and risk stakeholders to ensure they do not cause excessive risk to the company. Leverage advanced analytics to solve and develop complex business solutions. Develop presentations to communicate key messages to senior sponsors, non-technical partners, and key stakeholders. Develop and maintain Marketing Mix Optimization and Brand Equity models using advanced statistical modeling techniques, such as Hierarchical Bayesian and Structural Equation modeling. Follow Agile methodology across all projects to deliver on key business objectives. Create various static and interactive data visuals, using tools such as matplotlib, ggplot, Excel, and Tableau. Modify and build custom optimization algorithms, using multivariate calculus and linear algebra for fine-tune models. Build classification, segmentation, and predictive models, using advanced ML tools, such as Tensorflow, Kerns, Scikit-Learn, Numpy, Pandas, and Jupyter Notebooks. Perform various statistical tests to ensure data integrity for the input features as well as model accuracy for the outcomes. Design experiments to test various business hypotheses by performing list tests and user surveys.tools, such as Tensorflow, Kerns, Scikit-Learn, Numpy, Pandas, and Jupyter Notebooks. Perform various statistical tests to ensure data integrity for the input features as well as model accuracy for the outcomes. Design experiments to test various business hypotheses by performing list tests and user surveys.
**What you have**
**Job Requirements:** Master's in Mathematics, Statistics, Computer Science, or a related field and 24 months of experience in a related occupation. Experience must include 12 months involving the following: Statistical Programming in Python, R, SAS, or MATLAB; Databases including SQL/NoSQL; Machine Learning Libraries including Tensorflow, Keras, Scikit-Learn, Numpy, Pandas, Jupyter, or Notebooks; Google Cloud Platform; Web Development including HTML, CSS, Javascript, Flask, or Django; Code management and version control using Github or Bitbucket; and Code Deployment using Bamboo or Jenkins.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
**What's in it for you**
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
+ 401(k) with company match and Employee stock purchase plan
+ Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
+ Paid parental leave and family building benefits
+ Tuition reimbursement
+ Health, dental, and vision insurance
CO Salary Range: USD $146,200.00 - $161,005.00 / Year
What's in it for you:
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Schwab is an affirmative action employer, focused on employing and advancing in employment, qualified women, racial and ethnic minorities, protected veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at or call .
Manager AI & Data Science
Posted today
Job Viewed
Job Description
Description for Internal Candidates
The AI and Data Science Manager will lead a cross-functional team of data scientists, machine learning engineers, and AI specialists to develop and deploy scalable AI/ML solutions that drive business value across the enterprise. This role requires a strategic thinker with hands-on technical expertise and a strong ability to translate business challenges into data-driven solutions.
**onsemi** (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
**More details about our company benefits can be found here:**
are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
**onsemi** is an Equal Opportunity and Affirmative Action employer. The Company maintains policies and practices that are designed to prevent discrimination or harassment against any qualified applicant or employee to the extent prohibited by federal, state and local laws and regulations. By way of example, discrimination on the basis of race (actual or perceived), ethnicity, color, religion, ancestry, national origin, citizenship, sex, age, marital status, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other characteristic protected by applicable law is prohibited.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact for assistance.
Manager, AI & Data Science
Posted 9 days ago
Job Viewed
Job Description
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
**Job Responsibilities:** Create AI roadmaps for enabling conversational platforms for different lines of business. Adapt latest large language models to use cases in Schwab to drive process efficiencies and enhance user experience. Build and implement descriptive and predictive models using Natural language processing techniques, machine learning algorithms, and statistical modeling techniques to generate insights that help business with tactical and strategic planning and comply with risk management policies. Follow Agile practices for project delivery. Communicate the business value generated from different analyses and work with stakeholders for plan to action. Collaborate with cross function teams to understand requirements and translating into data science workflows. Apply machine learning, NLP, Generative AI and statistical techniques to generate/refine the optimal training corpus for the virtual assistant.
**What you have**
**Job Requirements:** Bachelor's degree in Computer Science, Business Analytics, or a related field and 60 months of progressive, post-Bachelor's related experience. Alternatively, a Master's degree in Computer Science, Business Analytics, or a related field and 36 months of related experience. Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.Requires 24 months of experience involving the following: Applications of large language models including GPT 3.5, GPT 4, Gemini, Llama, PaLM in Financial services; Conversational AI analytics pipeline, AI Ops, LLM Ops and Natural Language Processing Techniques; Implementing Machine Learning and Statistical techniques like Random Forest, XGBoost, Linear and Logistic Regression, CART or SVM; Python programming; SQL and NoSQL databases; and Conversational AI platforms like Google Dialogflow ES/CX and Vertex AI.
We offer competitive pay and benefits. Starting compensation depends on related experience. Annual bonus and other eligible earnings are not included in the ranges above. Benefits include: 401(k) w/ company match; employee stock purchase plan; paid vacation, volunteering, 28-day sabbatical after every 5 years of service for eligible positions; paid parental leave and family building benefits; tuition reimbursement; health, dental, and vision insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab's internal approach to workplace flexibility).
**What's in it for you**
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
+ 401(k) with company match and Employee stock purchase plan
+ Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
+ Paid parental leave and family building benefits
+ Tuition reimbursement
+ Health, dental, and vision insurance
What's in it for you:
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Schwab is an affirmative action employer, focused on employing and advancing in employment, qualified women, racial and ethnic minorities, protected veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at or call .
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Advisor, AI & Data Science- AI/ML Engineer?
Posted today
Job Viewed
Job Description
**Job Purpose and Impact**
+ The Advisor, AI & Data Science job provides thought leadership in the development and implementation of artificial intelligence solutions that drive strategic decision making. As a recognized subject matter expert in the field, this job partners to develop the organization's artificial intelligence strategy, leads implementation of related platforms and products to drive business value and encourages a culture of compliance to governance framework. This job finds opportunities to improve processes and leads efforts to ensure quality of the outcomes and measurable business impact.
**Key Accountabilities**
+ Technical Strategy & Architecture: -Define multi-year AI Ops roadmap covering model experimentation, HPC scheduling, inference serving, and data lineage. -Evaluate and integrate best-fit OSS/commercial tooling
+ Platform Engineering & Operations -Build and maintain CI/CD pipelines for model training (GPU/CPU), feature engineering, and automated testing across cloud and HPC clusters. -Implement scalable vector databases and caching layers to support low-latency GenAI workloads. -Tune scheduler policies for optimal occupancy and cost. -Monitor system performance, investigate escalations, and lead post-incident reviews.
+ Governance & Compliance -Champion data-privacy, model-risk-management, and export-control requirements; embed policy checks into pipelines. -Deliver audit-ready documentation for SOC-2, ISO 27001, and sector-specific regulations (e.g., food safety, trade compliance).
+ Leadership & Mentoring -Coach senior engineers and data scientists on scalable MLOps/HPC patterns. -Lead AI Platform Design Reviews and contribute to internal communities of practice.
**Qualifications**
+ Minimum requirement: 6 years relevant experience.
+ Typical requirement: 10 + years in software/data engineering with at least 4 years running production ML or HPC workloads and 2 + years in GenAI/LLMOps. Experience leading cross-functional engineering teams preferred.
#LI-AB4
#FGB
#TheMuse
Equal Opportunity Employer, including Disability/Vet.
Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI)
Posted 14 days ago
Job Viewed
Job Description
Why Genentech
We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society.
Who We Are
Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
Data, Analytics, and AI fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
Job Summary
The Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI) is responsible for guiding and enhancing the Predictive AI/Agentic AI Platform Suite to support data-driven decision-making. This role involves defining the platform's vision, strategy, and roadmap, ensuring alignment with enterprise priorities to drive business impact. This Director, Data Science/AI Product Owner works closely with senior leaders, technical teams, and business stakeholders to integrate predictive capabilities, manage resources effectively, and promote adoption.
Key Responsibilities
Shape the vision and product standards for Predictive AI/Agentic AI solutions, leveraging knowledge of industry trends and ensuring alignment with the organization's AI strategy.
Drive the development and execution of product roadmaps by balancing business needs, technical capabilities, and regulatory considerations.
Develop business cases to drive experimentation and innovation in AI applications, identifying opportunities for automation and augmentation within the enterprise.
Define target users in collaboration with Analytics partners, ensuring AI-driven solutions address user needs while maintaining compliance with ethical AI best practices.
Expertly drive alignment of roadmaps and initiatives with applicable Product Managers, Product Owners, and the Executive Director, Predictive AI / Agentic AI to meet user needs.
Serve as the central owner of AI product lifecycles, overseeing strategic planning, execution, and adoption to maximize business impact and efficiency gains.
Evangelize the role of AI-driven products, communicating their value proposition and strategic impact to senior leaders and enterprise stakeholders.
Drive prioritization and stakeholder alignment across AI product development, managing cross-functional collaboration and ensuring AI products meet business and technical objectives.
Collaborate with Technical Product Managers to ensure AI solutions align with enterprise architecture, governance standards, and technical feasibility.
Partner with other Business Product Owners to integrate AI capabilities seamlessly across digital ecosystems, ensuring interoperability and scalability.
Work closely with business stakeholders and technical teams to construct and maintain a prioritized, stack-ranked AI product backlog.
Ensure effective collaboration with different teams to drive knowledge sharing, best practices, and efficiencies across AI initiatives.
Collaborate with customer experience professionals to ensure AI-powered products deliver intuitive, user-centric experiences with measurable value.
Accountable for delivering AI-driven products that meet business objectives through stakeholder feedback, iterative development, and robust performance measurement.
Lead the adoption strategy for AI-enabled solutions, partnering with training and change management teams to drive user engagement and sustained impact.
Drive definition of AI-related business requirements, ensuring adherence to industry and Genentech governance frameworks.
Coordinate with measurement and optimization teams to assess AI product performance and inform future enhancements.
Comply with all laws, regulations and policies that govern the conduct of Genentech activities.
People
Lead, mentor, and manage Data Science product managers, fostering an exemplary employee experience, including a culture of collaboration, innovation, and accountability.
Provide guidance, training, and career development opportunities for team members.
Allocate and shift resources effectively to ensure balanced workloads and optimized team performance and business impact.
Cultivate an environment of both accountability and performance-based incentives with ongoing and annual performance management and rewards and recognition of all direct reports.
Lead inclusive hiring efforts for AI-focused roles, ensuring different perspectives contribute to AI innovation.
Who You Are
Minimum Candidate Qualifications and Experience
Bachelor's in Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
8 years of combined experience in product management, data science, AI, software development or equivalent experience.
Ability to own and manage the full product lifecycle, including visioning, roadmap creation, execution, and impact measurement.
Expertise in AI-driven product optimization based on measurement and feedback insights.
Strong understanding of predictive analytics, machine learning models, and agentic AI technologies.
Strong skills in budget management, resource allocation, and stakeholder alignment for cross-functional collaboration.
Strong leadership and team management abilities, with experience in coaching, developing, and inspiring talent (direct or indirect).
Excellent communication and strategic thinking skills to drive AI adoption and influence stakeholders.
Experience working in an agile setting or bringing agile best-practice mentorship to the team.
Experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards, and help influencing and evolving standards where needed.
Ability to innovate and foster experimentation to improve product capabilities.
Proven ability to adapt and navigate ambiguous or evolving environments.
Strong problem-solving and strategic thinking skills, with a focus on balancing short-term execution and long-term vision.
Additional Desired Candidate Qualifications and Experience
Advanced degree (MBA, M.S. in AI, Data Science, or related fields) or equivalent experience.
Experience in healthcare, pharmaceutical, or highly regulated industries.
Experience managing complex AI-driven projects requiring strategic vision and operational execution.
Advanced knowledge of workflow tools, automation systems, and compliance frameworks.
Location
This position is based in South San Francisco, CA
Relocation Assistance is not available
The expected salary range for this position based on the primary location of South San Francisco, CA is $ 214,500 - 398,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#BoFT
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Manager, Data Science - AI Foundations
Posted today
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Job Description
Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. 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 6 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 4 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 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 4 years' experience in Python, Scala, or R * At least 4 years' experience with machine learning * At least 4 years' experience with SQL 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: $193,400 - $20,700 for Mgr, Data Science New York, NY: 211,000 - 240,800 for Mgr, Data Science San Jose, CA: 211,000 - 240,800 for 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 . 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- or via email at . 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 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).