About the position
The Applied Machine Learning team has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. The proven ML Platforms, Solutions, and Services provide a comprehensive suite of capabilities to achieve efficiency, agility, and innovation at Apple scale—serving Apple's business-critical need across Apple’s enterprise. We are in search of an accomplished and driven Software Development Engineer who can build reliable and scalable services and has a robust understanding of Large Language Models and Generative AI. Your primary role will involve helping develop platform solutions to empower developers with experimentation and evaluation capabilities - helping them deliver high quality GenAI applications. You would support our mission by decoding and applying groundbreaking research in this rapidly evolving and exciting space, to our daily work. By contributing to our team, you'll play an integral part in developing our evaluation capabilities, leaving a significant footprint on the evolution of our enterprise AI platforms. Join us in our exciting journey as we help unleash the adoption of Machine Learning and Generative AI across Apple’s enterprise. Your expertise and contributions will be invaluable in shaping the future of our Enterprise ML platform.
Responsibilities
- Designing and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI applications.
- Translating the latest research into reliable and scalable features that can deliver high quality experiences for platform users.
- Actively engaging in all aspects of feature development, from ideation and experimentation to deployment and maintenance.
- Collaborating with various teams to develop and implement solutions, ensuring performance optimization and alignment with broader business goals.
- Communicating complex technical topics effectively to non-technical stakeholders.
Requirements
- Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field or related 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) and Generative AI.
Nice-to-haves
- Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.
- Experience with evaluating and optimizing Generative AI applications using frameworks like RAGAS.
- Familiarity with LLM Observability techniques and best practices.
- Experience with cloud platforms like AWS, GCP or Azure.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- 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.
- 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.
