Embedded ML Engineer – Vision

About Sesame

Sesame believes in a future where computers are lifelike - with the ability to see hear and collaborate with us in ways that feel natural and human. With this vision were designing a new kind of computer focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6 alongside proven leaders from Meta Google and Apple with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.

About the Role

We are looking for an engineer who thrives at the boundary of computer vision and embedded machine learning. This role is about pushing the limits of whats possible in vision-based interaction on resource-constrained devices. Youll design and deploy algorithms that turn raw sensor data into seamless user experiences balancing innovation in computer vision with the practical realities of ultra-low-power wearable hardware. Working cross-functionally with research hardware firmware and product teams youll take ideas from the whiteboard all the way to production devices in customers hands.

Responsibilities:

• Design train and deploy algorithms for computer vision on low-power embedded hardware.

• Adapt and compress larger ML models to fit power memory and latency constraints of real-time wearable systems.

• Own the full ML development cycle: system design data collection & curation synthetic data generation model training & evaluation and on-device optimization.

• Collaborate closely with electrical mechanical firmware and product teams to co-design algorithms and hardware in tandem.

• Pick promising approaches from the literature to bet on and create new approaches where necessary to achieve our unique goals.

Required Qualifications:

• 5 years of experience in Software Engineering ML Research or related fields.

• Experience working with a high degree of autonomy in ambiguous environments.

• Proven experience developing and deploying computer vision ML models on resource-constrained or embedded devices.

• Proficiency in C/C as well as Python with strong experience in deep learning frameworks such as PyTorch TensorFlow or Jax.

• Hands-on experience with end-to-end ML workflows from data capture to on-device deployment.

• Strong grasp of signal processing vision-based feature extraction and/or time-series analysis.

• Excellent communication skills and the ability to work collaboratively across disciplines.

• Bachelors degree or higher in computer science electrical engineering computer vision machine learning or a related field.

Preferred Qualifications:

• Experience with wearables cameras 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.

• Masters / Ph.D. in a relevant field.

Sesame 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 disabilitiescontact for assistance.

Full-time Employee Benefits:

• 401k matching

• 100% employer-paid health vision and dental benefits

• Unlimited PTO and sick time

• Flexible spending account matching (medical FSA)

Benefits do not apply to contingent/contract workers