Machine Learning Engineer - LLM
$181.1k/y-$272.1k/y
Applea day ago
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OnsiteFull-timeMid
Summary
Apple is seeking a Machine Learning Engineer - LLM to join their team in Cupertino, CA. The role involves building a GenAI system in support of Beats and Apple Audio products.
About the Role
As a Machine Learning Engineer, you will work cross-functionally to develop machine learning algorithms and data mining models, focusing on large language models (LLM) and large multimodal models (LMM). You will thrive in ambiguity, be detail-oriented, and communicate effectively across all levels of the organization.
About You
Required:
- 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
- Masters in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
- Ability to travel internationally - up to 10%
Preferred:
- Proven experience in GenAI application building with agents and agentic workflows.
- Experience applying ML techniques in manufacturing, testing, or hardware optimization.
- Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
- Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale.
- Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
- Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.
- Proven experience in leading and mentoring teams.
Benefits
- Base pay range between $181k and $272k, depending on skills, qualifications, experience, and location.
- Opportunity to participate in Apple’s discretionary employee stock programs.
- Comprehensive medical and dental coverage.
- Retirement benefits.
- Discounted products and free services.
- Reimbursement for certain educational expenses, including tuition.
- Eligibility for discretionary bonuses or commission payments.
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Cupertino, CA