🛠 Tech Stack

💼 About This Role

You'll architect and develop Tower's next-generation machine learning research platform, focusing on scalability and reproducibility. You'll partner with quantitative researchers to translate evolving workflows into robust platform capabilities. This role offers high impact in a collaborative, results-oriented environment at a leading quantitative trading firm.

🎯 What You'll Do

• Architect scalable ML research platform with focus on observability and reproducibility.
• Build infrastructure for large-scale experimentation and model training across hybrid cloud.
• Partner with quantitative researchers to translate research workflows into platform features.
• Design and optimize distributed training pipelines for GPU-accelerated workloads.

📋 Requirements

• 2+ years designing large-scale distributed systems for research or data-intensive workloads.
• Strong programming experience in Python with clean, maintainable code.
• Experience developing on Linux-based HPC clusters or cloud platforms.
• Experience with GPU workloads and ML frameworks like PyTorch, TensorFlow, or JAX.

✨ Nice to Have

• Experience building internal ML platforms or research tooling at scale.
• Familiarity with experiment tracking systems and workflow orchestration frameworks.
• Exposure to quantitative finance or latency-sensitive domains.

🎁 Benefits & Perks

• 🏖️ Generous paid time off policies
• 💰 Savings plans and financial wellness tools
• 🍽️ Free breakfast, lunch and snacks daily
• 🏋️ Wellness experiences and reimbursement for gym and personal training
• 🎉 Social events and continuous learning opportunities