Job Details

Senior Applied ML Scientist, Generative AI

Seattle, Washington, United States

Software and Services

Summary

Posted: May 08, 2025

Weekly Hours: 40

Role Number: 200595051

Do you want to help shape the future of AI at Apple? Our team, part of Apple Services Engineering's Human Centered AI Research organization, pioneers methods, builds tools, and develops AI systems that enable ground-breaking AI evaluation at scale. We are seeking an Applied Machine Learning Scientist with a strong engineering background, customer experience focused attitude, and deep experience with generative AI. This is an opportunity to provide engineering and research leadership at the ground floor of a critical effort with deep organizational impact.

Description

In this role, you will help us develop an innovative, AI-driven evaluation ecosystem in order to accelerate and empower AI development at Apple. Working at the intersection of applied research, ML & GenAI engineering, and tool development, you will champion principles of iterative experimentation, innovation, and enablement.

Your work will span the full development lifecycle—from prototyping new ideas to designing and deploying reliable, production grade systems. You'll solve fundamental problems in AI evaluation, such as developing innovative LLM-judges, automating error analysis, methods for validation data, and optimizing human-AI collaboration, all while pushing the boundaries of core AI capabilities.

Minimum Qualifications

• Strong foundation in machine learning fundamentals with the ability to tackle sophisticated ML challenges.

• Experience or proven curiosity about designing and implementing AI-driven approaches to evaluation (e.g. LLM-as-a-judge, automated evaluation, etc).

• Demonstrated ability to develop high-impact language model systems for real-world applications.

• Expertise in GenAI, LLM, and/or NLP/NLU evaluation.

• You have the demonstrated ability to identify research directions, rapidly prototype solutions, and drive them to practical impact.

• Proficient in software engineering standard methodologies (e.g., modular software design, testing).

• Strong proficiency in Python.

• Strong proficiency PyTorch, TensorFlow, or Jax.

• Excellent communication skills with a proven ability to engage diverse collaborators.

• Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD.

• 5+ years with a Master's degree, 3+ years with a PhD, or equivalent practical experience.

Preferred Qualifications

• You bring validated experience developing and owning high-impact, developer-facing systems and tools.

• You have experience evaluating sophisticated agentic systems using LLMs.

• Experience adapting and aligning LLMs through various training strategies, e.g. continued pre-training, supervised fine-tuning, and reinforcement learning.

• Expertise in uncertainty estimation and calibration, active learning, or related problem spaces.

• Experience with ML platform design or ownership

• Hands-on experience with large-scale data processing frameworks, e.g. Spark, PySpark, Dask, or Ray.

• Track record of contributions to open-source ML projects or publications in top-tier ML conferences (e.g., NeurIPS, ICML, ACL).

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 $197,400 and $296,300, 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. (https://www.apple.com/careers/us/benefits.html)

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.