Machine Learning Systems Engineer, Siri Agent Modeling

Machine Learning Systems Engineer, Siri Agent Modeling

Cupertino, California, United States Software and Services

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by Apple Intelligenc… with capabilities like personal context understanding and on‑screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross‑functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple’s custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams.

You will write production‑level code to train and deploy models that will impact Apple’s customers and enrich their lives. You are an ideal candidate if you:
Are not afraid of CUDA OOM or NCCL errors.

• Experience in model lifecycle of training, evaluation, and deployment of models
• Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop
• Strong proficiency in Python and ML framework such as Py Torch
• Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience
• Experience with agentic AI‑assisted coding

• Collaborative with experience working in large inter‑teams projects
• Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding
• Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism
• Experience in an LLM training/eval library such as Hugging Face transformers, lm evaluation harness, Megatron‑LM.
• Experience in optimizing LLM models and deploying LLM models
• Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become Apple shareholders through discretionary employee stock programs. Employees are eligible for restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan.

Your benefits include comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

At Apple, we believe accessibility is a fundamental human right. You will find that idea reflected in everything here — in our culture, benefits, and digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.