Senior Machine Learning Engineer

RapidTrade Solutions LLC
New York, NY, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Big Data C++ (Programming Language) Distributed Systems Python (Programming Language) Machine Learning Open Source Technology Tensorflow Reinforcement Learning Pytorch Apache Spark Information Technology
+1 more
Machine Learning Operations

Job description

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., * 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

Requirements

  • 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, * 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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