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Helper Reinforcement Learning Jobs in New York (NOW HIRING)

... AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data ...

... learning, reinforcement learning, natural language processing, ensemble methods, statistical ... Join our dynamic and passionate team and help us make a positive impact on the world. If you are a ...

... learning, reinforcement learning, natural language processing, ensemble methods, statistical ... Join our dynamic and passionate team and help us make a positive impact on the world. If you are a ...

Senior Machine Learning Engineer

New York, NY ยท On-site

$111K - $222K/yr

Join us and be part of something bigger - helping to simplify health care one person, one family ... reinforcement learning to drive Personalization and Marketing optimization and automation including ...

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Helper Reinforcement Learning information

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

What are the most commonly searched types of Reinforcement Learning jobs in New York?

The most popular types of Reinforcement Learning jobs in New York are:

What job categories do people searching Helper Reinforcement Learning jobs in New York look for?

The top searched job categories for Helper Reinforcement Learning jobs in New York are:

What cities in New York are hiring for Helper Reinforcement Learning jobs?

Cities in New York with the most Helper Reinforcement Learning job openings:

Infographic showing various Helper Reinforcement Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Engineer

Manhattan, NY โ€ข On-site

$200 - $250/hr

Other

Posted 21 days ago


Job description

About the Role

We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving time-series forecasting, reinforcement learning, and large-scale data processing.

What You'll Do
  • Design and implement machine learning models for market prediction and risk assessment
  • Build and maintain scalable ML pipelines processing billions of data points daily
  • Collaborate with quantitative analysts to translate trading strategies into ML systems
  • Optimize model inference for sub-millisecond latency requirements
  • Mentor junior engineers and contribute to engineering best practices
  • Research and evaluate new ML techniques and frameworks
What We're Looking For
  • 5+ years of experience in machine learning or related field
  • Strong background in Python, with experience in PyTorch or TensorFlow
  • Experience with time-series analysis and forecasting
  • Familiarity with distributed computing (Spark, Ray, or similar)
  • MS or PhD in Computer Science, Machine Learning, or related field
  • Track record of deploying ML models to production
Nice to Have
  • Experience in fintech or quantitative trading
  • Knowledge of reinforcement learning
  • Contributions to open-source ML projects
  • Experience with Rust or C++ for performance-critical code
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