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Software Engineer - GenAI Evaluations, AiDP
San Francisco Bay Area, California, United States
Corporate Functions
Summary
Posted: Sep 08, 2025
Weekly Hours: 40
Role Number: 200616065-3401
We are seeking a driven and analytical Software Engineer to join Apple’s Generative AI Evaluations team. In this role, you will help define how we measure, monitor, and improve the performance of AI systems that power next-generation user experiences. You will design robust evaluation frameworks, translate cutting-edge research into practical tooling, and collaborate closely with cross-functional teams to ensure our GenAI solutions are trustworthy, efficient, and high-quality. This is a unique opportunity to influence both the inner workings of Apple’s AI platforms and the broader standard for evaluating generative applications at scale.
Description
As a Software Development Engineer on the Evaluations Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:
Designing and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI applications.
Evaluating and analyzing the performance of GenAI applications, and actively collaborating with the team in driving performance improvements
Translating the latest research into reliable and scalable evaluations that can deliver high quality experiences for our users.
Actively engaging in all aspects of feature development, from ideation and experimentation to deployment and maintenance.
Communicating complex technical topics effectively to a diverse audience.
Minimum Qualifications
Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field or experience
2+ years of software engineering experience
Programming skills in Python
Experience developing scalable and robust services with FastAPI or similar frameworks.
Experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation (RAG) or GenAI Agents
Experience with evaluating and optimizing Generative AI platforms or applications
Preferred Qualifications
Experience with GenAI RAG and Agent evaluation frameworks like RAGAS, DeepEvals, OpenEvals, AgentEvals or OpenAI Evals
Familiarity with LLM Observability techniques and best practices
Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications
Proven problem-solving and leadership abilities, with the capacity to steer the team's research and build practical applications in a collaborative and fast-paced environment
Customer-focused with strong business acumen, capable of translating business needs into impactful technical solutions and a proven history of successfully shipping products that drive significant outcomes
Experience with cloud platforms like AWS, GCP, or Azure
Knowledge of containerization and orchestration tools like Docker and Kubernetes
Creative, collaborative and project focused with an ability to work hands-on in multi-functional teams
Excellent communication skills with the ability to communicate with all stakeholders effectively, including senior leadership
Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field
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 $181,100 and $318,400, 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.
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