2,566 jobs for "Engineering Team Leader"

Lead Technical Product Manager, ITC

At Nike

Posted on Oct 27

View job Apply on company site

Early Career R&D S&E, Mechanical Engineer, Onsite

At Sandia National Laboratories

Posted on Oct 27

View job Apply on company site

IAM Operations Manager

At Cummins - Pune

Posted on Oct 26

View job Apply on company site

Technical Operations Supervisor

At Cummins - Columbus

Posted on Oct 26

View job Apply on company site

Senior Software Engineer - Intelligent Platforms & Agents

At Leidos - Remote / Flexible

Posted on Oct 23

View job Apply on company site

AI Engineer 4 (AI Foundations, VLM Customization)

At Capital One - San Jose · McLean

Posted on Oct 23

View job Apply on company site

Digital Electronics Principal Verification Engineer

At Cadence Design Systems - Edinburgh

Posted on Oct 22

View job Apply on company site

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - San Jose · San Francisco

Posted on Oct 22

View job Apply on company site

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

At Capital One - San Jose · San Francisco

Posted on Oct 22

View job Apply on company site

Manager, Technology Control Testing, Services Technology Risk

At Mastercard - New York

Posted on Oct 21

View job Apply on company site

Manager, Data Science - US Card - Marketing

At Capital One - McLean · New York

Posted on Oct 21

View job Apply on company site

AI Engineer 5 (AI Foundations)

At Capital One - San Jose · McLean

Posted on Oct 21

View job Apply on company site

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)

At Capital One - McLean · San Francisco

Posted on Oct 21

View job Apply on company site

AI Engineer 4

At Capital One - San Francisco · McLean

Posted on Oct 21

View job Apply on company site

Intern: AI for Smarter ATE Test Development & Debug

At Cadence Design Systems - Sophia

Posted on Oct 20

View job Apply on company site

Intern: AI for Silicon Test Data Analytics & Failure Analysis

At Cadence Design Systems - Sophia

Posted on Oct 20

View job Apply on company site

Director, Footwear Research, Nike Sport Research Lab - Innovation

At Nike - Beaverton

Posted on Oct 20

View job Apply on company site

AIML - Foundation Model Post-Training Research Scientist

At Apple - Zürich

Posted on Oct 19

View job Apply on company site

AIML - Foundation Model Post-Training Research Scientist

At Apple

Posted on Oct 19

View job Apply on company site

Site Reliability Engineer, Enterprise Technology Services

At Apple

Posted on Oct 19

View job Apply on company site

Apple

AIML - Foundation Model Post-Training Research Scientist

ZürichPosted 21 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Ready to transform how billions of people interact with technology? Apple's Core Foundation Models team is driving the intelligence that powers experiences across billions of devices worldwide-and we're looking for exceptional talent to join us! Join our Europe-based applied ML team as we build the next generation of Apple's foundation models, pushing the boundaries of agentic capabilities to enable new products and experiences for our customers.

As a senior member of the team, you will work closely with researchers and systems engineers to advance our foundation models on capabilities critical to Apple Intelligence products. You'll collaborate with teams across Apple's engineering hubs-including New York, Seattle, and Cupertino-to push the frontier of agentic capabilities such as coding, software engineering, device use, ui understanding and navigation, agentic search, and more. If you thrive at the intersection of reinforcement learning, reasoning, and agentic AI - and love turning research into products used by billions - this is the role for you.

Description
As a core member of our AI team, you will lead transformative progress in large-scale language models with a strong focus on reinforcement learning. Your mission is to push the boundaries of planning, reasoning, and agentic intelligence by developing and applying RL techniques to train and refine next-generation foundation models. You'll work across the entire AI development pipeline-from designing multi-modal architectures to advancing decision-making, evaluation, and large-scale deployment to billions of devices worldwide.

We are seeking a pioneering technical leader with a proven track record in building and scaling language models who is passionate about harnessing reinforcement learning to unlock new levels of reasoning, adaptability, and autonomy in AI.

Preferred Qualifications
Proficiency in Python and modern ML frameworks (PyTorch/JAX).
Proven ability to analyze data, diagnose bottlenecks, and optimize large-scale models for performance and efficiency, with creativity in solving complex technical challenges.
Strong critical thinking, collaboration, and communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
Background in deep learning and reinforcement learning, including practical experience applying these methods to LLMs and foundation models.
Demonstrated industry experience delivering ML-driven product features at scale.
Proven record in designing, training, and optimizing LLMs and/or multi-modal foundation models at scale.
Expert-level understanding of machine learning theory and practice, with specialization in generative modeling and large-scale architectures.
Research or applied experience in decision-making, reinforcement learning, and agentic reasoning.
Strong research track record, with peer-reviewed publications at leading AI/ML or NLP venues (e.g., NeurIPS, ICML, ICLR, ACL).

Minimum Qualifications
PhD/Master's degree or equivalent experience in Computer Science, Computer Engineering, or a closely related field.
Deep expertise in generative AI architectures, with hands-on experience training and scaling large language models (LLMs) and/or multi-modal foundation models.
Industry experience in developing, training, and deploying large-scale ML systems, with emphasis on model performance optimization.
Demonstrated industry experience on developing agentic capabilities for modern foundation models.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile