Machine Learning Engineer, Siri Speech
Cupertino, CAFull-timeSeen todaySeen in employer's feed today
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Job overview
Join the Siri organization to shape a widely used AI assistant, building production‑quality models for natural voice experiences across Apple devices, and designing multimodal machine‑learning systems that impact millions of users.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200693064-0836
Summary
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 our next-generation of Apple Intelligence, 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, tvOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Join the Siri Speech team and play a part in the next revolution in human-computer interaction. You’ll help create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence, building production-quality models that power natural voice experiences used by millions. In this role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production.
Description
We are looking for a talented ML Research Engineer who is excited to work on SiriAI, which is used by millions of users across variety of Apple devices. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will be responsible for improving multimodal algorithms that decide if a user is interacting with Siri or not. These algorithms include speaker recognition techniques. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
Minimum Qualifications
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Experience in developing, training/tuning large generative models or LLMs
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Experience with machine learning frameworks such as JAX and/or PyTorch
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Proficient programming skills in Python
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Strong problem-solving skills and ability to work independently as well as in a team environment.
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Excellent written and verbal communication skills.
Preferred Qualifications
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M.S. in Electrical Engineering, Computer Science or related fields
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1-2+ years experience in Machine Learning
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Experience in reinforcement learning
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Experience with Speech LLMs or other Multimodal LLMs
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Experience with building & deploying AI agents and LLMs
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Experience with large scale machine learning training/evaluation
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Data-centric vision and hands-on experience in developing and scaling foundation models
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.
How this job compares
Set against the 6,060 open Machine Learning Engineer jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This postingNot listed
- California median$177–261K/yr1,365 salary ranges
- California median$50–78/hr34 hourly ranges
- Openings
- Olive Jobs lists 1,838 open Machine Learning Engineer jobs in California and 6,060 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience — less than three in four Machine Learning Engineer postings that state a minimum ask for (median 5 years, across 4,865 postings).
- Education
- 2,211 of the 6,060 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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