Embedded ML Engineer at Sesame

San Francisco, California, United States

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$175,000 – $280,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Hardware, AIIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

PythonC/C++Embedded SystemsMachine LearningGesture DetectionModel TrainingOn-Device OptimizationSynthetic Data GenerationData CurationML Frameworks

Questions & Answers

Common questions about this position

What is the salary range for the Embedded ML Engineer position?

The salary range is $175K - $280K.

Is this role remote or onsite?

The position is onsite.

What skills are required for this Embedded ML Engineer role?

Required skills include 10 years of experience in Software Engineering or ML Research, proven experience building and deploying ML on embedded devices, proficiency in Python and C/C++ with PyTorch or TensorFlow, hands-on end-to-end ML workflows, and strong signal processing or time-series analysis.

What is the company culture like at Sesame?

Sesame is committed to a workplace where everyone feels valued, respected, and empowered, embracing diversity in race, gender, identity, orientation, ability, and more.

What makes a strong candidate for this Embedded ML Engineer role?

A strong candidate has 10+ years of experience, works autonomously in ambiguous environments, has proven ML deployment on embedded devices, and excels in cross-disciplinary collaboration; preferred traits include advanced degrees, wearables experience, and startup background.

Sesame

Telehealth platform connecting patients with doctors

About Sesame

Sesame Care connects patients with doctors and specialists through a telehealth platform, primarily serving clients in various states across the U.S. The platform allows patients to book online appointments for services like urgent care, prescription refills, dermatology, mental health, and general doctor visits. By enabling independent clinicians to use its platform, Sesame Care reduces overhead costs and offers competitive pricing, often lower than traditional healthcare providers. Additionally, Sesame partners with Quest Diagnostics to provide affordable lab services, creating a comprehensive healthcare solution. The company operates on a direct-pay model, where patients pay for services upfront, ensuring transparency and prompt payments for healthcare providers. Sesame Care's goal is to make healthcare more affordable and accessible, simplifying the process for patients to receive quality care.

New York City, New YorkHeadquarters

2018Year Founded

$74MTotal Funding

SERIES_BCompany Stage

HealthcareIndustries

51-200Employees

Benefits

Competitive total compensation package — equity possible

Generous, flexible vacation policy

A fun and international work environment with teams in New York and Europe

The opportunity to work independently and remotely — whatever cadence makes sense to get work done in the best way according to the constraints at-hand

The chance to learn first-hand about the biggest industry in the world

Risks

Increased competition from major retailers like Walmart and Amazon threatens Sesame's market share.

Over-reliance on Costco partnership could be risky if the partnership ends or changes.

Expansion into weight loss programs may expose Sesame to regulatory scrutiny and liability issues.

Differentiation

Sesame offers direct connections between patients and physicians, reducing healthcare costs significantly.

The company partners with Quest Diagnostics for affordable lab and blood work services.

Sesame's telehealth platform allows competitive pricing by eliminating middlemen.

Upsides

Partnership with Costco expands Sesame's reach and enhances brand recognition.

Growing demand for direct-pay healthcare models aligns with Sesame's business strategy.

Increased consumer interest in virtual mental health services benefits Sesame's offerings.

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