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Senior Deep Learning Engineer Jobs in New York (NOW HIRING)

Experience with deep neural networks and representation learning * Prior experience working in a ... Proficiency in programming languages such as Python and R * Experience with machine learning ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated ... Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ...

Staff Machine Learning Engineer - AI Products Location: Hybrid in NYC (Bryant Park Office) Salary ... and deep learning * Proven track record of building scalable AI platforms used by millions

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

... to deep learning approaches * Cross-Functional Collaboration : Work closely with product ... engineering, and senior researchers to translate requirements into effective ML solutions

Senior AI Engineer

Manhattan, NY · On-site

$160K - $180K/yr

Our Client is seeking a Senior AI Engineer focused on CreditAI, their flagship GenAI product; you ... Fine-tune, optimize, and deploy open-source deep learning models for production use cases ...

Senior AI Engineer

Manhattan, NY · On-site

$160 - $170/hr

Role As a Senior AI Engineer focused on CreditAI, our flagship GenAI product, you will own complex ... Fine-tune, optimize, and deploy open-source deep learning models for production use cases ...

New

We are seeking an analytical and innovative Senior Machine Learning Engineer to join our Data & AI ... Strong proficiency in AI technologies, machine learning, and deep learning frameworks. * Previous ...

Showing results 21-40

Senior Deep Learning Engineer information

See New York salary details

$65.1K

$138.5K

$200.8K

How much do senior deep learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior deep learning engineer in New York is $138,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Deep Learning Engineer vs Data Scientist?

AspectSenior Deep Learning EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops and deploys deep learning models, often in AI teamsAnalyzes data, builds models, and provides insights across departments
Industry UsageTech, AI, and research companiesFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and programming knowledge, Senior Deep Learning Engineers focus on designing and implementing deep learning models, whereas Data Scientists analyze data to generate insights. The roles often collaborate but serve different primary functions within organizations.

What are the most commonly searched types of Deep Learning Engineer jobs in New York? The most popular types of Deep Learning Engineer jobs in New York are:

Machine Learning Engineer

Point72

New York, NY • On-site

Full-time

Re-posted 26 days ago


Job description

About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team.
This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.
This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.
Requirements:
  • PhD or PhD candidate in machine learning, computer science or other AI related research fields
  • Experience with sequential modeling and time series forecasting using deep learning
  • Experience with deep neural networks and representation learning
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code
  • Proficiency in programming languages such as Python and R
  • Experience with machine learning software libraries such as TensorFlow or PyTorch
  • Experience implementing Agent or Context engineering is strongly preferred
  • Experience with natural language processing technology is strongly preferred
  • Excellent analytical skills, with strong attention to detail
  • Collaborative mindset with strong independent research ability
  • Strong written and verbal communication skills
  • Commitment to the highest ethical standards