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Deep Learning Jobs in New York (NOW HIRING)

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Results oriented mindset with a focus on developing deep learning models that directly impact P&L * Implement sophisticated ML approaches for forecasting, feature engineering, and optimization ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Results oriented mindset with a focus on developing deep learning models that directly impact P&L * Implement sophisticated ML approaches for forecasting, feature engineering, and optimization ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$224K/yr

Conducting innovative research on deep learning for price forecasting * Building scalable and robust training and inference pipelines for deep learning * Diving into internals of open-source deep ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Conducting innovative research on deep learning for price forecasting * Building scalable and robust training and inference pipelines for deep learning * Diving into internals of open-source deep ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

Design and train deep learning models. * Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

Design and train deep learning models. * Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

Design and train deep learning models. * Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric, discrete, and multi-layer PCB files (ODB++, IPC-2581, STEP ...

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Deep Learning information

See New York salary details

$12K

$91.8K

$153.2K

How much do deep learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for deep learning in New York is $91,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $152,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in New York? The most popular types of Deep Learning jobs in New York are:
What are popular job titles related to Deep Learning jobs in New York? For Deep Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in New York look for? The top searched job categories for Deep Learning jobs in New York are:
What cities in New York are hiring for Deep Learning jobs? Cities in New York with the most Deep Learning job openings:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $91,774 per year, or $44.1 per hour.

Campus AI Research Engineer - Deep Learning (Full-Time)

Jump Trading

New York, NY

$300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition. 

What You'll Do: 

  • Apply state-of-the-art techniques to complex and challenging domains. 
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial ML. 
  • Optimize training pipelines to make the best use of our HPC resources. 
  • Integrate ML models into production systems where latency matters. 
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages. 
  • Build large-scale ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research. 
  • Other duties as assigned or needed. 

Skills You'll Need: 

  • Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research 
  • Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs) 
  • Solid development skills in Python and/or C++ 
  • Familiarity with ML libraries/frameworks such as PyTorch, JAX, and/or TensorFlow 
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook 
  • Ability to thrive in a collaborative, team-oriented environment 
  • Ability to reason through quantitative problems and communicate effectively with trading researchers 
  • Reliable and predictable availability 

Bonus Points: 

  • Experience with HPC and distributed large model training 
  • Experience with GPU performance optimization (CUDA or ROCm) 
  • Experience with end-to-end model development 
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure 

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. 

The estimated base salary for this role is $300,000 per year.

Benefits

   - Discretionary bonus eligibility
   - Medical, dental, and vision insurance
   - HSA, FSA, and Dependent Care options
   - Employer Paid Group Term Life and AD&D Insurance
   - Voluntary Life & AD&D insurance
   - Paid vacation plus paid holidays
   - Retirement plan with employer match
   - Paid parental leave
   - Wellness Programs

Apply