Description

You will build and deploy end-to-end machine learning solutions for complex, ambiguous problems.

This role is on-site.

Responsibilities

• Develop end-to-end machine learning solutions for complex, ambiguous problems.
• Implement models optimized for embedded environments and hardware constraints.
• Integrate machine learning workflows within embedded systems.
• Apply mathematical and programming rigor to data processing and model training.

Required Skills

• 8+ years of professional experience.
• Proficiency in Python.
• Hands-on experience with PyTorch.
• Experience using Pandas and NumPy for data manipulation.
• Strong background in embedded systems.
• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Preferred Skills

• Experience with hardware acceleration including GPU, DSP, ML accelerators, or CPU kernel libraries.
• Prior experience developing models for low-resource edge devices such as wearables or mobile phones.
• Background in health tech or consumer products.

Key Skills

Education

Bachelor's degree