
Generative AI Applied Scientist - Services Special Projects
Cupertino, CAFull-timeSeen todaySeen in employer's feed today
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At a glance
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Job overview
Apple’s Services Special Projects Team seeks a Machine Learning Scientist to build generative AI solutions and train and improve models for large-scale search, retrieval, and ranking. The role turns applied AI research into production-ready models, with a focus on model accuracy, efficiency, and robustness. The team works on generative AI and retrieval problems while upholding user privacy and security.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200694831-0836
Summary
Join our Apple Services Special Projects Team and help build the next generation of GenAI solutions for millions of people, upholding the user privacy and security that Apple customers know and expect!
Our team shapes the future of Apple's technologies, experiences, and services by building state-of-the-art models, infrastructure, and tools. If you want a collaborative environment where your expertise is valued, and you want to work on hard generative AI and retrieval problems that haven't been solved, this may be a role for you. We are especially interested in scientists who care about what and how models learn, and who use that understanding to make models more accurate, efficient, and robust.
Description
We are seeking a Machine Learning Scientist with a strong track record in applied AI research. You will train and improve the models behind large-scale search, retrieval, and ranking systems, and turn the latest research into production-ready models.
Minimum Qualifications
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PhD in Computer Science, Machine Learning, or a related field, or MS with 5+ years of applied ML research experience
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Strong deep learning and NLP fundamentals, with hands-on experience training and fine-tuning transformer models
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Proficiency in PyTorch and strong Python programming skills
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Experience with post-training, fine-tuning, or representation learning for large models
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Experience designing rigorous experiments and evaluations, and analyzing model behavior
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Demonstrated ability to turn research ideas into working systems
Preferred Qualifications
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- Experience training embedding, retrieval, or reranking models (e.g., contrastive learning, late-interaction / ColBERT-style models, cross-encoders)
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- Experience with parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) and preference optimization (RLHF, DPO)
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- Experience with distributed training (e.g., FSDP, DeepSpeed) and multi-GPU workloads
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Experience with inference engines and serving frameworks (vLLM, SGLang, Triton)
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Experience with model efficiency: quantization, pruning, distillation, or analysis of model internals
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Experience with data-centric ML, such as data curation, data attribution, or training-data robustness
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Familiarity with cloud environments (AWS or GCP) and containerization (Docker, Kubernetes)
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Publications at top venues (e.g., NeurIPS, ICLR, ICML, CVPR, ACL), and service as a reviewer or program committee member
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 950 open Applied Scientist jobs on Olive Jobs, counted November 14, 2026.
- Pay
- This postingNot listed
- California median$172–260K/yr170 salary ranges
- Openings
- Olive Jobs lists 192 open Applied Scientist jobs in California and 950 across the US. 1% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Amazon107 open
- Microsoft Corporation8 open
- SAP7 open
- Experience
- This posting asks for at least 5 years of experience; Applied Scientist postings that state a minimum ask for 4 years at the median (777 postings).
- Education
- 305 of the 950 open Applied Scientist jobs (32%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.
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