Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)
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Job overview
Apple seeks a Software Engineer to apply natural language processing and machine learning expertise to user-facing applications, including Generative AI features. The role spans text processing, empirical experimentation to build NLP models, and productizing Generative AI. The engineer will collaborate with machine learning and NLP teams across Apple, contributing to technologies for Apple Intelligence on device and in private compute cloud.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200693310-3337
Summary
Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users.
The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms.
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple.
Description
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering.
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP.
Minimum Qualifications
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Experience writing production software (Swift, C/C++, Obj-C, Python)
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Good machine learning (ML) fundamentals
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B.S, M.S. or PhD in Computer Science or a related field
Preferred Qualifications
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Hands-on experience in using open-source ML toolkits, e.g., PyTorch
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Hands-on experience with building NLP/Generative AI applications
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Excellent communication and organizational skills
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 41,631 open Software Engineer jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This postingNot listed
- Washington median$144–215K/yr1,953 salary ranges
- Washington median$54–69/hr36 hourly ranges
- Openings
- Olive Jobs lists 2,162 open Software Engineer jobs in Washington and 41,631 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Software Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (33,828 postings).
- Education
- 14,293 of the 41,631 open Software Engineer jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 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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