ML Architect for Custom Hardware & Inference

IMC Trading; New York (NY); On-site; USD 200,000 - 225,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance benefits

Job summary

A global trading firm in New York is looking for a Machine Learning Engineer to architect solutions from scratch. The role includes working hands-on with hardware and translating ML requirements into architectural decisions. Candidates should have a solid understanding of hardware constraints and experience with ML frameworks such as PyTorch or TensorFlow. A competitive salary of $200,000 - $225,000 USD is offered, along with additional benefits and a collaborative work environment.

Qualifications

• Solid understanding of hardware design trade-offs.
• Experience with coding and hardware tool development.
• Understanding of neural network architectures.
• Proficient in Python or C++.

Responsibilities

• Architect and co-design ML models.
• Shape custom hardware roadmap.
• Deploy ML inference solutions from proof to production.
• Track emerging research to improve systems.

Skills

Hardware constraints understanding

VHDL/SystemVerilog development

Machine Learning fundamentals

Python/C++ proficiency

Collaboration skills

Education

Advanced degree in EE, CS, Physics or related field

Tools

hls4ml

FINN

Vitis AI

Job description

A global trading firm in New York is looking for a Machine Learning Engineer to architect solutions from scratch. The role includes working hands-on with hardware and translating ML requirements into architectural decisions. Candidates should have a solid understanding of hardware constraints and experience with ML frameworks such as PyTorch or TensorFlow. A competitive salary of $200,000 - $225,000 USD is offered, along with additional benefits and a collaborative work environment.