Embedded ML Engineer – Gesture Recognition

Imago.ai

+2
+8
United States

+2
+8
United States

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About

OverviewEmbedded ML Engineer role at Imago.ai (Sesame). We are seeking an engineer at the intersection of embedded systems and machine learning to enable rich, reliable interactions on wearable devices. The candidate will work across the software stack with hardware, firmware, and product teams to make interactions effortless and consistent for every user in every environment.About SesameSesame believes in a future where computers are lifelike with the ability to see, hear, and collaborate with us in natural, human ways. We are designing a new kind of computer focused on making voice companions part of daily life. Our team includes founders from Oculus and Ubiquity6, with leaders from Meta, Google, and Apple, spanning hardware and software expertise. Join us in shaping a future where computers truly come alive.What you will doDesign, 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 and curation, synthetic data generation, model training and evaluation, and on-device optimization.Collaborate with electrical, mechanical, and product teams to integrate algorithms with evolving hardware designs.Identify promising approaches from literature and create new methods to achieve unique goals.Required Qualifications10 years of experience in Software Engineering, ML Research, or related fields.Ability to work autonomously 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 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 QualificationsMaster’s or 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.Benefits401k matching100% employer-paid health, vision, and dental benefitsUnlimited PTO and sick timeFlexible spending account matching (medical FSA)Benefits do not apply to contingent/contract workersEmployment detailsRole: Full-timeSeniority level: Mid-Senior levelJob function: Engineering and Information TechnologyLocation: San Francisco, CASesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance. #J-18808-Ljbffr

Nice-to-have skills

C
C++
Embedded Systems
Machine Learning
PyTorch
Python
Signal Processing
TensorFlow

United States

Work experience

Embedded
Machine Learning

Languages

English

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