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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 ...

Optiver

Machine Learning Research Engineer

New York, NY

$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 ...

Evolve Group

Machine Learning Researcher

Manhattan, NY · On-site

Deep learning for price forecasting. Novel research on signals that matter at the speed of markets. * Scalable training and inference pipelines built for reliability at production scale * Framework ...

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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 Jul 19, 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.

Which 3 jobs will survive AI?

Deep learning professionals, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require critical thinking, domain expertise, and ongoing learning to adapt to evolving technologies. Skills in programming, machine learning frameworks, and ethical considerations will remain valuable in the AI-driven job market.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming, neural networks, and frameworks like TensorFlow or PyTorch, and are common in technology, healthcare, automotive, and finance industries.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

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 jobs pay $500,000 a year in the US?

In the field of deep learning, senior roles such as AI research directors, machine learning executives, and lead data scientists at large tech companies can earn $500,000 or more annually, especially with bonuses and stock options. These positions typically require extensive experience, advanced degrees, and expertise in neural networks, programming, and large-scale data processing.

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 the Deep Learning position, and why are they important?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $91,774 per year, or $44.1 per hour.

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Posted 2 days ago

New

Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.

Apply