Research Engineer

Reposted 2 Months Ago
3 Locations
In-Office
190K-320K Annually
Expert/Leader
Information Technology
The Role
The ML Engineer will design, build, and automate evaluation pipelines, curate datasets, train and deploy voice models, monitor performance, and manage production code across various stages of the machine learning lifecycle. They will also collaborate closely with research and infrastructure teams to enhance user-facing systems.
Summary Generated by Built In

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 Research engineer at Sesame, you are a research-oriented person with experience in. 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
  • Design, build, and ship novel architectures and models to production.

  • Scale LLM training and inference, improving latency, throughput, and cost.

  • Build robust training and evaluation pipelines.

  • Develop tooling for safe, versioned, privacy-aware dataset curation and discovery.

Required Qualifications:
  • Strong, hands-on experience with PyTorch.

  • Solid software engineering skills and a genuine interest in ML, with experience writing production code across the stack.

  • Practical experience training or fine-tuning LLMs, and a good understanding of how LLM training algorithms work.

  • Experience designing evaluation metrics and harnesses that reflect real user experience.

  • Familiarity with the ML lifecycle: dataset operations, training pipelines, evaluation frameworks, deployment, and monitoring.

  • Experience shipping complex projects to production, ideally user-facing or online ML systems, and adapting as requirements change.

  • Good judgment about when to work independently and when to bring in teammates.

  • Experience contributing to technical direction, building consensus, and working well with product, infrastructure, and research partners.

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 [email protected] 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.

Skills Required

  • Expert-level PyTorch
  • Proven software engineer comfortable writing production code
  • Hands-on experience training or fine-tuning large models
  • Experience designing evaluation metrics
  • Deep knowledge of the ML lifecycle
  • History of shipping complex projects to production
  • Strong judgment and team collaboration skills
  • Track record of setting technical direction
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The Company
HQ: New York, NY
55 Employees
Year Founded: 2023

What We Do

Bringing the computer to life

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