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Senior ML Researcher: Multimodal LLM Post-Training

Cupertino

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Employment
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What you’ll work on

Full posting
  • Research and design post-training methods for foundation models

  • Deliver models that turn ML research into real product features

  • Work with research scientists, engineers, and product teams on generative AI ideas for creative users

From the employer’s posting
research, design, and deliver models
where machine learning research meets real-world product impact
work closely with research scientists, engineers, and product teams

What you’ll bring

All qualifications

Core experience

  • Passion for foundation model post-training, including SFT and RL
  • Experience with instruction following, tool use, deep thinking, and reasoning
Qualification wording
passionate about foundation model post-training, including Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)
has experience with core capabilities such as instruction following, tool use, deep thinking, and reasoning

Posting record

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Status in our records
Live
First seen by us
Oct 12, 2026 · 6d ago
Recorded sightings
37
Last seen by us
Oct 17, 2026

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Job description

View original posting ↗

We are looking for a Senior ML Researcher who is passionate about foundation model post-training, including Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), and has experience with core capabilities such as instruction following, tool use, deep thinking, and reasoning. In this role, you will research, design, and deliver models where machine learning research meets real-world product impact. You will work closely with research scientists, engineers, and product teams to find new ways that generative AI can help our creative users. Your mission is to improve the workflows of millions of creators by combining generative AI with Apple's human-centered design principles.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Location & working pattern

Cupertino

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