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- Highest salary
Open vacancies
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- Roche
- Capital One
- Capital One
- Writer
- Writer
- PhysicsX
Principal Machine Learning Engineer (Aerospace Manufacturing)
Salary by agreement
- Hybrid · New York
- Senior
- Capital One
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Lead & Manager
- Pfizer
- Capital One
- Harvey
- Citi
- Fractal Analytics
Medal- General Intuition
- Elsevier
- Elsevier
- Databricks
Staff Machine Learning Engineer, CustomerLake (ML/LLM)
$190,000 - 253,400 / year
- Office · New York City
- Senior
- Capital One
AI Engineer 4 (Gen AI Platform Services: Agentic Systems)
$197,300 - 225,100 / year
- Office · San Francisco, US +2
- Senior
- Capital One
- Capital One
- Capital One
Machine Learning Engineer 5 (Senior Manager, IC)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Senior
- Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)
$197,300 - 225,100 / year
- Office · New York, San Francisco +2
- Senior
- Capital One
AI Engineer 4 (Gen AI Platform Services: Agentic AI)
$197,300 - 225,100 / year
- Office · New York, San Francisco +2
- Senior
- Capital One
Machine Learning Engineer 4 - Machine Learning Experiences (MLX)
$179,400 - 204,700 / year
- Office · San Jose, US +2
- Senior
- Capital One
Machine Learning Engineer 4 - Machine Learning Foundations (MLX)
$179,400 - 204,700 / year
- Office · San Jose, US +2
- Senior
- Formation Bio
Data Scientist, Medical Imaging (Open Level)
$177,500 - 232,000 / year
- Hybrid · Boston, New York
- Mid-Level
- Metropolis
- Capital One
AI Engineer 4 (AI Foundations, VLM Customization)
$197,300 - 225,100 / year
- Office · San Jose, US +1
- Senior
- Warner Bros. Discovery
- Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
$197,300 - 225,100 / year
- Office · San Jose, San Francisco +2
- Senior
- Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$229,900 - 262,400 / year
- Office · San Jose, San Francisco +2
- Senior
- Capital One
- Capital One
Senior Manager, Machine Learning Engineer (People Leader)
$229,900 - 262,400 / year
- Office · New York, San Francisco +1
- Lead & Manager
- Capital One
Manager, Data Science - AI Foundations
$197,300 - 225,100 / year
- Office · New York, US +1
- Lead & Manager
- Capital One
- Capital One
Senior Manager, Data Science - AI Foundations
$229,900 - 262,400 / year
- Office · New York, US +1
- Lead & Manager
- Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$229,900 - 262,400 / year
- Office · US, San Francisco +2
- Senior
- Capital One
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For: All vacancies · New York · PyTorch
About PyTorch Jobs in New York
Tech roles that ask for PyTorch, in every field and at every level, at tech companies in the US, UK, Canada, Australia and Europe. Every role on this page has an office in New York. We find them on company career pages and in the closed places where hiring teams post first, often before they reach the big job boards.
Right now there are 158 open roles here, 24 of them added in the last 7 days. The skills asked for most: PyTorch, Python, LLMs and AWS.
- open jobs
- 158
- new in the last 7 days
- 24
- typical yearly salary
- $211K to $246K
- with Direct Apply
- 2
How many PyTorch Jobs in New York are open right now?
There are 158 open roles here, 24 added in the last 7 days. The list updates as we find new vacancies and closes the ones that are filled.
How much do PyTorch Jobs in New York pay?
On the open roles here that state a salary, the middle half pays between $211K and $246K a year, converted to US dollars. Each vacancy shows its own range in its currency.
Are there remote PyTorch Jobs in New York?
Not right now: every open role here asks for some time in an office. Each vacancy says where the office is.
Can I message the hiring manager directly?
2 of these roles come with Direct Apply: a verified contact on the hiring side, so your message reaches a person instead of an ATS filter.
What does Early Window mean?
12 of these roles were found in the last 48 hours, before they spread to the big job boards. Applying early means fewer people in line ahead of you.