HUG ยท 2 weeks ago
Machine Learning / Deep Learning Engineer (HFT Experience Preferred) | New York | Top of Market Comp + Benefits
New York, United States
Full-time
Onsite
Mid, Senior LevelHUG is a stealth quantitative investment firm specialising in technology-driven strategies and high-frequency trading. They are seeking a Machine Learning / Deep Learning Engineer to develop and deploy models that enhance trading performance and collaborate with teams to integrate these models into trading infrastructures.
Staffing & Recruiting
Responsibilities
Develop, optimise, and deploy machine learning and deep learning models to enhance HFT trading signal performance
Research and prototype cutting-edge algorithms and optimisation techniques to drive technological innovation and business improvements
Build and maintain scalable ML pipelines, including data processing, model training, inference, and deployment in high-performance systems
Collaborate with strategy and engineering teams to integrate models into real-time trading infrastructures
Explore advanced techniques in parallel computing, model acceleration, and multimodal learning to push the boundaries of quantitative trading
Qualification
Required
Bachelor's, Master's, PhD, or equivalent in Computer Science, Engineering, Mathematics, or related fields
Solid foundation in algorithms, mathematics, and common ML/DL methods (e.g., XGBoost, LSTM, Transformer)
Proficiency in Python and C++, with hands-on experience in PyTorch, TensorFlow, or similar frameworks
Strong problem-solving, business acumen, teamwork, and communication skills
Comfortable with high-performance computing tools like CUDA, parallel programming, and optimisation techniques
Preferred
Experience in HFT or quantitative trading
Familiarity with model engineering optimisations (e.g., training/inference acceleration via DeepSpeed or Megatron)
Knowledge of Triton or Cutlass for custom operators
Exposure to multimodal learning, large-scale pretraining, or modality alignment
Benefits
Full benefits
Top-of-range compensation
Company
HUG
At HUG, we believe recruitment should feel personal - because the best teams are built on real connections.
Founded in 2022
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase