AIML - Sr Machine Learning Engineer, Data and ML Innovation

Apple

Seattle, WA

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JOB DETAILS

SKILLS

Apple, Artificial Intelligence (AI), Code Reviews, Computer Science, Conferences, Data Modeling, Data Sets, Debugging Skills, Machine Learning, Modeling Languages, Preferred Provider Organization (PPO), Process Improvement, Product Design, Publications, Quality Management, Reinforcement Learning, Software Engineering, Systems Scalability, Testing, Typing

LOCATION

Seattle, WA

POSTED

30+ days ago

**Role Number:** 200645846-3337 **Summary** Do you want to play a part in the revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? The vision for AIML FM Data organization is to improve Foundation Models by leveraging data and cutting-edge LLM techniques. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas and experiment with various techniques to improve model training and evaluation efficiency and performance. **Description** As a Senior Machine Learning Engineer, you will join end-to-end development of large language models and agentic systems, from training pipelines to evaluation frameworks and production deployment. You will work at the intersection of modeling, infrastructure, and product, helping push model quality through systematic experimentation and iteration. You'll collaborate closely with research, infrastructure, and product teams to design robust training pipelines, build agent environments, and ship high-impact AI capabilities into real-world applications. This role blends deep modeling expertise with strong engineering fundamentals and offers the opportunity to shape both the technical direction and the ML platform powering Apple products. **Minimum Qualifications** + 5+ years of hands on ML engineering experiences, with at least 1+ years working directly on large language models or generative AI. + Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related technical field - or equivalent practical experience. + Hands-on experience with LLM training workflows, including one or more of: Pretraining or continued pretraining, Supervised fine-tuning (SFT), Preference optimization (e.g., RLHF, DPO, PPO). + Strong software engineering fundamentals: debugging, testing, code reviews, and production reliability. + Demonstrated publication records in relevant conferences (e.g., NeurIPS, ICML, ICLR, etc.). **Preferred Qualifications** + Direct experience with agentic systems, including tool use, environment design, or reinforcement learning. + Experience with building or operating training environments or simulators (gym-style, tool-based, or sandboxed environments). + Experience with model hillclimbing workflows: systematic experimentation, ablations, dataset iteration, and continuous quality improvement. + Ability to work across research and engineering boundaries, turning ideas into scalable systems. + Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity.

About the Company

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1976

WEBSITE

https://www.apple.com/jobs

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