852 matching jobs for “Machine Learning Engineer 4”

How results work

Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)

New York City, New York, United States +4 locations

… 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 …

Added Oct 28, 2026

Save job

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

San Jose, California, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

San Jose, California, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

San Jose, California, United States +4 locations 2 postings

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

New York City, New York, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

San Jose, California, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)

San Jose, California, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)

San Jose, California, United States +3 locations 2 postings

Added Oct 27, 2026

Save job

Capital One Financial

Data Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

McLean, Virginia, United States +2 locations

… and technologies Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems Utilize programming …

Added Oct 27, 2026

Save job

Nvidia

Senior Deep Learning Scientist, Multimodal Agentic RL

Santa Clara, California, United States

… the GPU, serves as the visual cortex of modern computers and powers our entire product suite. GPU deep learning ignited the modern AI era—the next great computing age—with the GPU acting as the brain for everything from …

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)

New York City, New York, United States +4 locations

Added Oct 27, 2026

Save job

Capital One Financial

Full-stack Engineer 4 (Manager IC - Vue JS, Java Script, AWS)

Richmond, Virginia, United States

… needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of …

Added Oct 27, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Foundations: Recommendation Systems)

McLean, Virginia, United States +3 locations

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 …

Added Oct 27, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Foundations, VLM Customization)

San Jose, California, United States +3 locations

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 …

Added Oct 31, 2026

Save job

Target

Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)

1000 Nicollet Mall, Minneapolis,MN 55403-2542

Pay posted by employer$132,000–$238,000

… domain knowledge. As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working …

Added Oct 16, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Foundations - LLM, Optimization and Finetuning)

New York City, New York, United States +3 locations

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 …

Added Oct 27, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Foundations, LLM Customization and Finetuning)

San Jose, California, United States +3 locations

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 …

Added Oct 27, 2026

Save job

Capital One Financial

Applied Researcher 4 (AI Foundations, Graph and Behavioral Models)

San Jose, California, United States +3 locations

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 …

Added Oct 27, 2026

Save job

Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)

San Francisco, California, United States +4 locations

Added Oct 27, 2026

Save job

KLA

Eng'r Div install 4 for FAST tool

KOR-Gyeonggi-do-Pyeongtaek-KLA

… analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If …

Added Nov 3, 2026

Save job

Target

Lead Applied Data Scientist - Recommendations (Contextual Bandits, Reinforcement Learning)

1000 Nicollet Mall, Minneapolis,MN 55403-2542

Pay posted by employer$132,000–$238,000

View job

Save job

About you · employer excerpt

PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX

8 more in the full description below.

About this opportunity

Original employer description

The pay range is $132,000.00 - $238,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys)

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software with highly performant code, elevate Target’s culture, and apply retail domain knowledge.

As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at a massive scale.

You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.

Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you:

PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
Deep understanding of machine learning, deep learning, optimization, statistics, probability, and experimental design
Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
Demonstrated ability to influence technical direction and drive alignment across product, engineering, and business stakeholders
Experience leveraging modern AI and generative AI tools to accelerate development, experimentation, and model delivery
Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
Strong software engineering fundamentals, including testing, code reviews, documentation, and maintainable system design

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.  

Application deadline is : 11/05/2026

Why this result? · Employer labels

Keywords also found in description

Location reference: GeoNames (CC BY 4.0), normalized by Referizz.