Sesame (sesame.com) Logo

Sesame (sesame.com)

ML Engineer

Reposted 5 Days Ago
In-Office
3 Locations
190K-320K Annually
Senior level
In-Office
3 Locations
190K-320K Annually
Senior level
The ML Engineer will design and automate evaluation pipelines, curate datasets, deploy voice models, and ensure model performance while scaling workloads.
The summary above was generated by AI

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 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.


Responsibilities:
  • Own evaluation pipelines — design, build, and automate offline and live evals that keep our speech and multimodal models honest in production.

  • Harness the data — create tooling for safe, versioned, privacy-aware dataset curation and discovery.

  • Ship models, not slide decks — partner with research and infra to prototype, train, and deploy state-of-the-art voice models that power Sesame’s real-time companion experience.

  • Squeeze silicon — scale training and inference for LLM-class workloads; chase latency, throughput, and cost until the graphs flatten.

  • Wire up monitoring and live evals — surface quality regressions before users or PMs notice.

  • Move at startup speed — take ideas from whiteboard to production in days, not quarters; leave a clean trail of tests and dashboards behind.

Required Qualifications:
  • Expert-level PyTorch.

  • Proven software engineer who loves ML; comfortable writing production code across the stack.

  • Hands-on experience training or fine-tuning large language or other large-scale models with a variety of techniques.

  • Evaluation expert — you’ve designed metrics and harnesses that actually predict user happiness.

  • Deep knowledge of the ML lifecycle: dataset ops, training pipelines, eval frameworks, deployment, and monitoring.

  • History of shipping complex projects to production—especially user-facing, online ML systems—despite shifting requirements and surprise roadblocks.

  • High agency and the judgment to know when to sprint solo vs. pull in the squad.

  • Track record of setting technical direction, driving consensus, and partnering smoothly with product, infra, and research.

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: 

  • 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.

Top Skills

PyTorch

Similar Jobs

2 Days Ago
In-Office
Seattle, WA, USA
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Develop machine learning models to identify and prevent risky financial activities in Cash App, collaborating with engineering and product teams while mentoring fellow modellers.
Top Skills: AWSGCPKerasModeMySQLNumpyPandasPythonSklearnSnowflakeTableauTensorFlowXgboost
2 Days Ago
Hybrid
Seattle, WA, USA
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Develop machine learning models to identify risky behaviors and ensure safe financial experiences for teens using Cash App. Collaborate cross-functionally to enhance model deployment and understanding of customer risks.
Top Skills: AWSGCPKerasModeMySQLNumpyPandasPythonSklearnSnowflakeTableauTensorFlowXgboost
2 Days Ago
In-Office or Remote
Seattle, WA, USA
146K-229K Annually
Junior
146K-229K Annually
Junior
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Machine Learning Engineer role focuses on utilizing machine learning techniques to enhance team productivity and develop software solutions. It involves working collaboratively to support various projects.
Top Skills: Machine Learning

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account