Hardware Machine Learning PhD Research Internship

About this role

Join IMC's research team as a PhD intern to develop machine learning solutions optimized for custom hardware in a high-performance trading environment. You'll own a research project from conception through deployment, collaborating with hardware engineers to advance low-latency ML inference and hardware acceleration.

What you'll do

• Design and execute an ML research project tailored to real-world trading applications
• Collaborate with hardware engineers to implement, test, and deploy ML inference systems
• Evaluate emerging research in neural architecture search, quantization, and ML systems for practical applicability
• Present findings and insights to the team to advance collective understanding
• Learn hardware design fundamentals from experienced RTL developers
• Assess research through real-world performance metrics, engineering feasibility, and industry impact

What they're looking for

• PhD enrollment in Electrical Engineering, Computer Science, Physics, or related field
• Hardware constraints and design trade-offs (pipelining, resource utilization, fixed-point arithmetic)
• Hardware development tools (VHDL, SystemVerilog, HLS, hls4ml, FINN, Vitis AI)
• Machine learning fundamentals and optimization (neural networks, quantization, inference)
• ML frameworks (PyTorch, TensorFlow)
• Python or similar programming languages
• Strong communication and cross-disciplinary collaboration

Benefits

• Base salary of $225,000
• Discretionary bonus eligibility
• Paid leave
• Insurance coverage
• Access to cutting-edge research environment
• Mentorship from world-class engineers and researchers