Embedded ML Engineer – Gesture Recognition jobs in United States
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Sesame · 4 months ago

Embedded ML Engineer – Gesture Recognition

positionSan Francisco Bay Area
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
money$175K/yr - $280K/yr
date10+ years exp

Sesame is a company focused on creating lifelike computers that can interact with users in natural ways. The Embedded ML Engineer will work at the intersection of embedded systems and machine learning to enable reliable interactions on wearable devices, collaborating closely with various teams throughout the development process.

Artificial Intelligence (AI)Consumer ElectronicsConsumer SoftwareSoftware
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H1B Sponsor Likelynote

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

Qualification

ML algorithms deploymentEmbedded systemsPythonC/C++End-to-end ML workflowsSignal processingCommunicationCollaborative work

Required

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

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

401k matching
100% employer-paid health, vision, and dental benefits
Unlimited PTO and sick time
Flexible spending account matching (medical FSA)

Company

Sesame

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Sesame is a voice tech startup focused on developing AI voice assistants that create natural and emotionally resonant conversations.
dateFounded in 2022
location
San Francisco, California, USA
people-size11-50 employees
web-link
http://www.sesame.com

H1B Sponsorship

Sesame has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (2)

Funding

Current Stage
Growth Stage
Total Funding
$307.62M
Key Investors
Andreessen Horowitz
2025-10-21Series B· $250M
2023-11-01Series A· $47.5M
2023-09-12Seed· $10.12M

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Company data provided by crunchbase