768 jobs for "Sr Manager, US&C Commercial Enablement"

AIML - Sr Machine Learning Engineering Manager, Evaluation

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Sr. Supply Chain Development Manager

At Jabil - Bayan Lepas

Posted on Nov 3

View job Apply on company site

Sr. Principal Technical Program Manager, Hyperscale

At Jabil - Austin

Posted on Nov 2

View job Apply on company site

Sr. Design Engineering Project Manager - Energy & Infrastructure

At Jabil - Saint Petersburg

Posted on Oct 29

View job Apply on company site

Sr. Finance Program Management Manager

At Jabil - Saint Petersburg

Posted on Oct 21

View job Apply on company site

Sr. National Channel Business Manager

At Palo Alto Networks

Posted on Nov 7

View job Apply on company site

Sr Business Banking Relationship Manager - Southeast Michigan

At Bank of America - Farmington Hills

Posted on Nov 4

View job Apply on company site

Sr. Strategic Operations Program Manager, iPhone

At Apple - Cupertino

Posted on Oct 12

View job Apply on company site

Sr. Customer Success Strategy Manager, New Products

At Samsara Inc. - Remote / Flexible

Posted on Oct 20

View job Apply on company site

Sr. Consultant, Client Success

At Visa - San Francisco

Posted on Oct 27

View job Apply on company site

Senior Principal Technical Program Manager

At NIKE, Inc. - Beaverton

Posted on Oct 24

View job Apply on company site

EH&S Manager

At Flex - Aguascalientes

Posted on Nov 7

View job Apply on company site

Human Resources Business Project Manager - M&A

At UKG - Remote / Flexible

Posted on Nov 3

View job Apply on company site

Materials Manager

At Flex - Guadalajara

Posted on Oct 13

View job Apply on company site

Senior Consultant, Client Success

At Visa - London

Posted on Oct 17

View job Apply on company site

Senior Manager

At Visa - Toronto

Posted on Oct 28

View job Apply on company site

Warehouse Manager

At Flex - Austin

Posted on Nov 5

View job Apply on company site

Senior Quality Engineer, Manufacturing

At iRhythm Technologies - Orange County

Posted on Nov 2

View job Apply on company site

Sr Embedded Software Engineer - Propulsion Thermal Manager

At General Motors - Milford

Posted on Oct 26

View job Apply on company site

Sr Lead Site Reliability Engineer - Problem Manager

At JPMorgan Chase - Singapore

Posted on Oct 23

View job Apply on company site

Apple

AIML - Sr Machine Learning Engineering Manager, Evaluation

Cupertino, CA$237,600 – $401,700Posted 24 days ago

Apply on company site View full job

Apple's AIML Evaluation team builds the systems and methodologies that measure and improve the quality of foundation models and agentic experiences. We are looking for a senior, hands-on Machine Learning Engineering Manager to lead a small team working at the intersection of model evaluation, agent optimization, and data generation. In this role, you will help define how evaluation closes the loop with model and product development, turning observed quality gaps into targeted improvements to prompts, agent harnesses, datasets, and models.

You will combine technical depth with people leadership. You should be comfortable moving from research papers and experimental results to production-quality ML pipelines, while mentoring engineers and aligning teams around a clear technical direction. Your work will span Apple Foundation Models and product teams, with the goal of creating repeatable evaluation and refinement loops that improve the quality of Apple intelligence experiences.

Description

As a Senior Machine Learning Engineering Manager in AIML Evaluation, you will lead the technical strategy and execution for agent evaluation and automatic optimization. You will own systems that evaluate foundation models and agents, diagnose failure modes, and use those signals to drive automated prompt, context, tool, rubric, and agent-harness improvements. You will also help establish the interfaces between evaluation and post-training so that high-value failures can be converted into targeted data, environments, reward signals, and measurable model improvements.

This is a hands-on leadership role. You will prototype new approaches, participate in architecture and code reviews, design experiments, and help your team translate emerging research into scalable evaluation and optimization pipelines. You will partner closely with Apple Foundation Models, product engineering teams, and other AIML groups to build an evaluation flywheel that connects real product behavior with model and agent refinement. You will also work across the organization to advance synthetic data generation for both evaluation and post-training, with strong attention to data quality, representativeness, privacy, and reproducibility.","responsibilities":"Architects and builds scalable evaluation systems for foundation models and agents, including benchmarks, LLM-based evaluators, simulation environments, trajectory analysis, and regression testing.

Establishes an end-to-end evaluation flywheel with Apple Foundation Models and product teams that connects observed failures to diagnosis, targeted refinement, post-training, and measurable quality improvement.

Leads, mentors, and grows a small team of machine learning engineers while remaining deeply involved in technical design, experimentation, implementation, and review.

Defines the technical strategy and roadmap for automatic prompt, context, tool, rubric, and agent-harness optimization for agentic development and model evaluation.

Develops methods that convert evaluation findings into actionable model-improvement signals, including targeted datasets, synthetic trajectories, reward or preference signals, and optimization objectives.

Partners across AIML to design and scale synthetic data generation pipelines for evaluation and post-training.

Applies and adapts recent research in LLM and agent evaluation, automatic optimization, LLM-as-judge, reward modeling, test-time search, and post-training to production-quality workflows.

Preferred Qualifications

Track record of applying recent machine learning research to production systems or high-impact product development.

Experience with automatic prompt or context optimization, agent-search methods, evaluator optimization, or multi-objective optimization for agentic systems.

Experience generating and evaluating synthetic datasets, tool-use trajectories, or multi-turn agent interactions, including methods for filtering, deduplication, diversity, and quality control.

Experience designing evaluation systems that combine offline benchmarks, simulation, human evaluation, and product- or usage-derived signals.

Experience with privacy-preserving or on-device machine learning and evaluation.

Demonstrated ability to influence technical strategy across organizational boundaries and communicate complex model-quality tradeoffs to senior technical leaders.

Minimum Qualifications

8+ years of professional experience in machine learning, applied research, or software engineering, including experience building production ML systems or large-scale experimentation platforms.

3+ years of technical leadership experience, including direct people management of machine learning or software engineers and a demonstrated ability to mentor and grow strong technical talent.

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

Strong hands-on programming and software engineering skills, particularly in Python, with experience building reliable ML pipelines using modern machine learning or deep learning frameworks.

Deep experience with large language models or agentic systems, including evaluation of multi-turn behavior, tool use, planning, reasoning, or other action-taking workflows.

Experience building automated evaluation methods such as LLM-based judges, rubrics, reward models, simulation-based evaluation, or scalable benchmark infrastructure.

Experience with at least one model or agent refinement area such as automatic prompt or context optimization, post-training, preference optimization, reinforcement learning, or agent-harness optimization.

Excellent communication and collaboration skills, with demonstrated ability to align research, engineering, and product teams around ambiguous technical problems.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $237,600 and $401,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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