Job description

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, we're designing a new kind of computer, focused on making voice agents 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 New and novel approaches are needed to realize all of our product goals. As a Machine Learning Scientist at Sesame, you are a research-oriented person with experience in NLP, Speech, and/or Computer Vision with a focus on deep learning. You are up to date on recent papers and approaches and you have the creativity and the intuition to come up with new solutions based on the application at hand. RESPONSIBILITIES: - Contribute to the development of our ML models across multiple modalities. - Work across the ML stack, including model architectures, data curation, model evaluation, training & inference infrastructure, research, and experimentation. - Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals. REQUIRED QUALIFICATIONS: - Experience working independently in high-ambiguity environments. - Published papers in NLP, Speech, or Computer Vision involving large-scale deep learning. - Familiar with the state of the art in AI. - Bachelor’s degree or higher in CS or related field. PREFERRED QUALIFICATIONS: - Masters/PhD desired. - Experience working with products. - Experience in a startup environment. 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 disabilities. Contact careers@sesame.com for assistance. Full-time Employee Benefits: - 401 (k) max employer match: 3.5% of compensation - 100% employer-paid health, vision, and dental benefits for you and your dependents - Unlimited PTO and sick time - Flexible spending account with employer matching up to $1,650/year (medical FSA) - Guardian Employee Assistance Program (EAP) - Opportunity to share in the company's success with competitive stock options Benefits do not apply to contingent/contract workers.

Requirements

Must-haves

Contribute to the development of our ML models across multiple modalities.
Work across the ML stack, including model architectures, data curation, model evaluation, training & inference infrastructure, research, and experimentation.
Pick promising approaches from the literature to bet on, and create new approaches where necessary to achieve our unique goals.
Experience working independently in high-ambiguity environments.
Published papers in NLP, Speech, or Computer Vision involving large-scale deep learning.
Familiar with the state of the art in AI.
Bachelor’s degree or higher in CS or related field.
401 (k) max employer match: 3.5% of compensation
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Benefits do not apply to contingent/contract workers.

Nice-to-haves

Masters/PhD desired.
Experience working with products.
Experience in a startup environment.

Application prep

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Keywords to mirror

machine learningmlai

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto