Sesame

About Sesame

Affordable healthcare access without insurance hassles

🏢 Retail👥 101-200 employees📅 Founded 2018📍 Canal Street, New York, NY💰 $76.1m4.2
HealthcareB2CB2BMarketplaceeCommerceMedTech

Key Highlights

  • Headquartered in New York, NY on Canal Street
  • $76.1 million raised in Series B funding
  • 101-200 employees, fostering a diverse workplace
  • Marketplace model for both B2C and B2B healthcare

Sesame is a healthcare marketplace platform headquartered on Canal Street in New York, NY, that enables patients to access high-quality medical care at affordable self-pay prices. With $76.1 million raised in Series B funding, Sesame has attracted significant investment, allowing users to search, co...

🎁 Benefits

Employees enjoy a flexible vacation policy, comprehensive health care coverage options, and the opportunity to work in a fun, international environmen...

🌟 Culture

Sesame fosters a unique culture focused on transparency and accessibility in healthcare, empowering patients to make informed decisions while simplify...

Overview

Sesame is hiring a Research Engineer specializing in Synthetic Data for Vision to build high-value synthetic data pipelines. You'll work with classical computer vision techniques and modern machine learning tools. This position requires fluency in data generation and model development.

Job Description

Who you are

You have a strong background in computer vision and machine learning, with experience in building synthetic data generation pipelines. Your expertise includes classical techniques as well as modern tools like neural rendering and diffusion-based image synthesis. You are comfortable working across the stack, from data capture to model evaluation, and you understand the importance of visual realism in synthetic data. You thrive in collaborative environments, working closely with research, hardware, and product teams to deliver impactful solutions.

You possess a solid understanding of data-centric evaluation methods and are skilled in leveraging transfer learning and domain adaptation to improve model performance. Your ability to communicate complex ideas clearly makes you an effective collaborator, and you are eager to contribute to a team that is shaping the future of conversational AI. You are passionate about creating lifelike computer systems that can see and interact with the world in a human-like manner.

What you'll do

In this role, you will be responsible for building and maintaining synthetic data generation pipelines that enhance vision model development. You will work with various levers for pose, expression, illumination, materials, and sensor characteristics to create datasets that improve downstream computer vision tasks. Your work will involve collaborating with cross-functional teams to ensure that the synthetic data generated meets the needs of the vision models being developed. You will also engage in research to explore new methodologies and technologies that can further enhance the capabilities of synthetic data generation.

You will play a key role in bridging the gap between speech and the physical world, contributing to the development of voice companions that feel natural and human-like. Your insights and expertise will help guide the direction of the team's projects, ensuring that the synthetic data produced is both physically accurate and visually realistic. You will also have the opportunity to mentor junior engineers and researchers, sharing your knowledge and fostering a culture of learning within the team.

What we offer

Sesame provides a dynamic work environment where innovation and creativity are encouraged. You will receive competitive compensation and benefits, including 401k matching and comprehensive health coverage. We value work-life balance and offer unlimited PTO and sick time to support your well-being. Join us in our mission to create lifelike computers that enhance human interaction and collaboration.

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