About The Position
Join Apple's Applied Machine Learning Team as a Machine Learning Platform Engineer and play a central role in designing and building the systems that power our Data, Machine Learning, and Generative AI initiatives. You will architect and engineer robust, high-performance, massively scalable platforms that serve as the foundation for groundbreaking ML workloads across the enterprise. In this role, you will apply software engineering depth to solve the hardest challenges in large-scale distributed systems—designing for reliability, performance, and efficiency from the ground up. You will own the technical direction of ML/Data/Inference platform capabilities, leading the evaluation and integration of cutting-edge open-source technologies and building innovative internal solutions that raise the bar for scalability and resilience across our ML ecosystem. You'll collaborate closely with cross-functional engineering and business teams, influencing technical strategy and contributing meaningfully to the broader platform roadmap.
Requirements
- 5+ years of experience in software development, with a strong focus on backend systems and APIs
- 2+ years of experience working with LLMs, Agent Frameworks 5+
- years of experience with cloud platforms such as AWS,or GCP
Nice To Haves
- Experience engineering scalable solutions for data processing and model training/fine-tuning workflows.
- Hands-on experience building with distributed data technologies for ML training such as Spark, Flink, Iceberg, or Snowflake, with a deep understanding of their architectural trade-offs at scale.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
