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Full Time Deep Learning Research Jobs (NOW HIRING)

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Keep on top of the latest developments and research in academic CV/DL and decide how we should ... Passion for computer vision and deep learning; you are excited to adapt the latest multimodal LLMs ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

Research Scientist

Redwood City, CA · On-site

$180K - $300K/yr

This role requires strong scientific judgment, fluency with the deep learning literature, and the drive to work autonomously in a fast-moving startup environment. What You'll Work On * The research ...

Research, develop, implement, and evaluate new machine learning techniques for multiple ... scale deep learning models and experiments. * Experience in working with diverse teams to solve ...

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Full Time Deep Learning Research information

What cities are hiring for Full Time Deep Learning Research jobs? Cities with the most Full Time Deep Learning Research job openings:
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Infographic showing various Full Time Deep Learning Research job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 29% Full Time, 69% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Machine Learning Researcher, Foundation Models [SWE Org]

Machine Learning Researcher, Foundation Models [SWE Org]

Apple

Cupertino, CA • On-site

Full-time

Posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to productsProficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorflowAbility to work in a collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.
Code large language models.Reinforcement learning, on-policy distillation.Post-training, mid-training large language models.LLM context lengthening.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976