Software Engineer (GenAI Evaluations), AI & Data Platforms (AiDP) at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jun, 26

Salary

0.0

Posted On

27 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Machine Learning, Large Language Models, LLMs, Retrieval Augmented Generation, RAG, GenAI Agents, Generative AI Evaluation, Scalable Services, Docker, Kubernetes, AWS, GCP, Azure

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

The engineer will design and develop platform features to help solution developers experiment and identify optimal configurations for high-quality GenAI applications. Responsibilities also include evaluating and analyzing GenAI application performance, driving improvements, and translating research into scalable evaluations.