1

Foundation Models Jobs in New York (NOW HIRING)

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 ...

Evaluate, benchmark, and recommend foundation models based on performance, cost, security, explainability, and business requirements. * Implement model orchestration, prompt engineering, agent ...

Research Engineer, AI

New York, NY · On-site +1

$214K - $375K/yr

Imaging foundation models trained across the world's largest microscopy datasets * Reasoning and agentic systems that connect frontier LLMs with biological foundation models * Mechanistic ...

Research Scientist, AI

New York, NY · On-site +1

$214K - $375K/yr

Imaging foundation models trained across the world's largest microscopy datasets * Reasoning and agentic systems that connect frontier LLMs with biological foundation models * Mechanistic ...

Research Engineer, AI

New York, NY · Hybrid

$214K - $375K/yr

Imaging foundation models trained across the world's largest microscopy datasets * Reasoning and agentic systems that connect frontier LLMs with biological foundation models * Mechanistic ...

Research Scientist, AI

New York, NY · Hybrid

$214K - $375K/yr

Imaging foundation models trained across the world's largest microscopy datasets * Reasoning and agentic systems that connect frontier LLMs with biological foundation models * Mechanistic ...

next page

Showing results 1-20

Foundation Models information

What are popular job titles related to Foundation Models jobs in New York?

For Foundation Models jobs in New York, the most frequently searched job titles are:

What job categories do people searching Foundation Models jobs in New York look for?

The top searched job categories for Foundation Models jobs in New York are:

What cities in New York are hiring for Foundation Models jobs?

Cities in New York with the most Foundation Models job openings:

Infographic showing various Foundation Models job openings in New York as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

ML Researcher, Apple Foundation Models

New York, NY • On-site


Apple
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students


Full-time

Re-posted 8 days ago


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
Description
We are building the next generation of models optimized for Agentic, Reasoning, and Coding capabilities. This means training models via RL to reason from first principles, building autonomous coding agents that operate in real repositories, and developing agentic systems that handle multi-step workflows with error recovery. You will work on problems like: RL with verifiable rewards for mathematical reasoning, multi-turn RL for coding agents evaluated on SWE-Bench and beyond, scaling laws for RL compute allocation, progressive alignment across capability stages, and training models to manage their own context in long-horizon tasks. This is applied research with direct product impact - your work will ship to millions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track record of applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning for LLMs: RLHF, GRPO, PPO, RLVR, reward modeling, RL scaling laws
Code generation and coding agents: repository-level code understanding, agentic coding
Agentic systems: multi-turn RL, tool-use planning, long-horizon task execution, user simulation
Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model
Long context and efficiency: sparse attention, context compression, scaling to very long context windows

Apple logo

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


What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom