Machine Learning Engineer, Siri Speech
Job Summary
Job Description
We are seeking an exceptional senior Machine Learning Engineer experienced in collecting and preparing large-scale speech data, training/adapting models, and deploying them in production. You will advance the latest ML techniques, shape datasets that power Siri, and dive into details to craft experiences for millions of users worldwide. Responsibilities include working with data pipelines, collecting and analyzing speech and multimodal datasets, training large language and multimodal models on distributed back-ends, and adapting them for on-device deployment. You will ensure quality with an emphasis on data and model robustness, interacting closely with other ML researchers, software engineers, and design teams.
Must have:
- 5-7+ years experience in Machine Learning applied to Speech & NLP.
- Experience delivering ML capabilities into great products.
- Proficiency with ML toolkits like PyTorch.
- Strong programming skills in Python and C/C++.
Good to have:
- B.S or M.S in Computer Science, or equivalent experience.
- Hands-on experience training LLMs.
- Familiarity with large-scale data collection/processing.
Perks:
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses
7 skills required
Job Details
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting-edge generative modeling technologies—plus the high-quality data that fuels them—to enrich billions of people? Join the SWE Speech team at Apple! We are looking for an exceptional senior ML engineer experienced in collecting and preparing large-scale speech data, training/adapting models, and deploying them in production. You’ll advance the latest ML techniques, shape the datasets that power Siri, and dive into the details to craft experiences for millions of users worldwide.
Are you excited about Generative AI and Large Language Models? Are you interested in working on cutting-edge generative modeling technologies—plus the high-quality data that fuels them—to enrich billions of people? Join the SWE Speech team at Apple! We are looking for an exceptional senior ML engineer experienced in collecting and preparing large-scale speech data, training/adapting models, and deploying them in production. You’ll advance the latest ML techniques, shape the datasets that power Siri, and dive into the details to craft experiences for millions of users worldwide.
We are seeking a candidate with a proven track record in applied ML engineering. Responsibilities in the role will include working with existing data pipelines and annotation teams to collect, clean, and analyze speech and multimodal datasets. Training large language and multimodal models on distributed back-ends, and adapting them for on-device deployment. Ensuring quality with an emphasis on data and model robustness. You will interact closely with other ML researchers, software engineers, and design teams. Your primary focus will still be enriching conversation understanding through LLM and multimodal models—now with added attention to the data that makes these models excel.
- 5–7 + years experience in Machine Learning applied to Speech & NLP.
- Experience delivering ML capabilities into great products.
- Proficiency with ML toolkits such as PyTorch.
- Strong programming skills in Python and either C or C++.
- B.S or M.S in Computer Science, or equivalent experience
- Hands-on experience training LLMs, adapting pre-trained LLMs for downstream tasks, and leveraging curated datasets or human-feedback data.
- Familiarity with large-scale data collection/processing (e.g., annotation guidance, data quality checks).
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.
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