Machine Learning Research Engineer
Tower Research CapitalAbout the Role
As an AI/ML Applied Research Engineer, you will sit at the cutting-edge intersection of central machine learning infrastructure and research teams. Your core mandate is to act as "Customer Zero" for the internal ML Research platform, focusing on expanding the platform to benchmark, rapidly prototype, and stress-test both software and hardware layers across the entire distributed ML stack.
You will leverage AI agents and auto-research capabilities to push systems to their limits, identify bottlenecks, and create a frictionless environment to test novel machine learning models on realistic, large-scale data. Through hands-on testing, you will act as a technical advisor, sharing insights on research progress, evaluating how new ideas fare in practice, and helping guide the strategic direction of central engineering efforts.
Requirements
- Deep proficiency in Python and software design principles
- Ability to build clean, scalable APIs and abstractions that other developers and researchers are enthusiastic about using
- Hands-on experience with modern frameworks (PyTorch, TensorFlow, etc.)
- Strong practical understanding of how to train, evaluate, and deploy models at scale
- Experience scaling ML workloads across GPUs and multi-node clusters using frameworks like Ray, Dask, or PyTorch Distributed
- Familiarity with LLM tooling, agentic frameworks, and using AI to automate coding, research, or testing tasks
- Ability to debug and identify bottlenecks across hardware and software layers (e.g., memory limits, GPU utilization, data pipeline latency)
- Previous experience working in quantitative finance or complex algorithmic research environments (nice to have)
- Familiarity with large-scale time-series data, simulation engines, or performance benchmarking (nice to have)
- A proven track record of bridging the gap between systems engineering and applied machine learning research (nice to have)
What You'll Get
- $200k–$300k base salary
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities