355 jobs for "Lead AI Deployment Architect"

AIML - Foundation Model Post-Training Research Scientist

At Apple

Posted on Oct 16

View job Apply on company site

Director Artificial Intelligence & Automation

At Sonepar USA Inc - Broomfield

Posted on Nov 3

View job Apply on company site

Staff Software Engineer- Eng

At UKG - Lowell

Posted on Nov 2

View job Apply on company site

Forward Deployed Engineer

At Salesforce

Posted on Oct 8

View job Apply on company site

Sr. Manager - Data Platform Engineering

At Visa - Bengaluru

Posted on Sep 10

View job Apply on company site

Senior Manager, Data Engineering

At Visa - Foster City

Posted on Sep 9

View job Apply on company site

Software Engineer III- AI/ML Platform

At JPMorgan Chase - Jersey City · Seattle

Posted on Aug 14

View job Apply on company site

Forward Deployed Engineer (Multiple Levels)

At Salesforce - Tokyo

Posted on Aug 5

View job Apply on company site

Distinguished Forward Deployed Engineer

At Salesforce

Posted on Jul 1

View job Apply on company site

Staff Machine Learning Engineer

At BD - Irvine

Posted on Sep 30

View job Apply on company site

Staff Software Engineer, Prototyping Platform (Full Stack)

At Airbnb

Posted on Oct 26

View job Apply on company site

Sr Director of Software Engineering- AI Infrastructure Platforms

At JPMorgan Chase - Seattle · Palo Alto

Posted on Oct 21

View job Apply on company site

Lead Software Development Engineer

At UKG - Remote / Flexible

Posted on Oct 15

View job Apply on company site

Director of AI Engineering, Internal Products

At Via

Posted on Oct 16

View job Apply on company site

Sr. AI/Automation Engineer - HR Technology (Remote India - Night Shift)

At General Motors - Remote / Flexible

Posted on Oct 30

View job Apply on company site

Senior Machine Learning Engineer, Search & Intelligence

At Atlassian - Remote / Flexible

Posted on Sep 15

View job Apply on company site

Cyber Data Privacy Specialist - Senior Consultant

At Deloitte - Atlanta · Austin

Posted on Sep 12

View job Apply on company site

Application Engineer - III

At Vanguard - Hyderabad

Posted on Sep 8

View job Apply on company site

Manager - Software Engineer (Agentic Engineering) - Tax Technology

At Deloitte - Boston · Chicago

Posted on Aug 11

View job Apply on company site

Forward Deployed Engineer

At Salesforce - Zurich

Posted on Jul 20

View job Apply on company site

Apple

AIML - Foundation Model Post-Training Research Scientist

Posted 23 days ago

Apply on company site View full job

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

View company profile