Embedded ML Engineer – Gesture Recognition

Responsibilities

• Design, train, and deploy algorithms for gesture detection on ultra-low-power embedded hardware.
• Evaluate and adapt larger ML models for running on mobile class hardware.
• Own the full development cycle: system design, data collection & curation, synthetic data generation, model training & evaluation, and on-device optimization.
• Collaborate with electrical, mechanical, and product teams to integrate algorithms with evolving hardware designs.
• Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals.

Required Qualifications

• 10 years of experience in Software Engineering, ML Research, or related fields.
• Experience working with a high degree of autonomy in ambiguous environments.
• Proven experience building and deploying ML algorithms on embedded or resource-constrained devices.
• Proficiency in Python and C/C++, with experience in frameworks such as PyTorch or TensorFlow.
• Hands-on experience with end-to-end ML workflows, from data capture to on-device deployment.
• Strong grasp of signal processing and/or time-series analysis for sensor data.
• Excellent communication skills and the ability to work collaboratively across disciplines.
• Bachelor’s degree or higher in computer science, electrical engineering, machine learning, or related field.

Preferred Qualifications

• Master’s / Ph.D. in a relevant field.
• Experience with wearables, IMUs, or tactile/force sensors.
• Familiarity with synthetic data generation and augmentation techniques.
• Experience in a startup or fast-moving product environment.
• Experience deploying models in products.
• Track record of optimizing algorithms for power, latency, and memory footprint.

Benefits

• 401(k) max employer match: 3.5% of compensation
• 100% employer-paid health, vision, and dental benefits for you and your dependents
• Unlimited PTO and sick time
• Flexible spending account with employer matching up to $1,650/year (medical FSA)
• Guardian Employee Assistance Program (EAP)
• Opportunity to share in the company's success with competitive stock options