Research Engineer

Sesame
San Francisco
Workplace: OnsiteFull timeUSD 190,000 - 320,000 annuallyFunction: Data Science & Machine LearningSkills: ["PyTorch","Machine learning","Production code","ML lifecycle","Dataset ops","Training pipelines","Evaluation frameworks","Monitoring"]

ML Engineer at Sesame to design, train, and deploy state-of-the-art voice and multimodal models. You’ll own evaluation pipelines, build privacy-conscious data tooling, scale LLM-class workloads, monitor production models, and collaborate across research, infra, and product to ship user-facing ML systems at startup speed.

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FursaFursa
Sesame
Sesame
11 months ago

Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

ML Engineer at Sesame to design, train, and deploy state-of-the-art voice and multimodal models. You’ll own evaluation pipelines, build privacy-conscious data tooling, scale LLM-class workloads, monitor production models, and collaborate across research, infra, and product to ship user-facing ML systems at startup speed.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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.

Pay and Benefits

Salary: USD 190,000 - 320,000 annually
Equity and Bonus:Equity
Perks:401kHealth InsuranceVisionDentalPaid LeaveEquity

Key Requirements

  • •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.
Experience:Machine learningMlopsLanguage models
Skills:PyTorchMachine learningProduction codeML lifecycleDataset opsTraining pipelinesEvaluation frameworksMonitoring
Tech Stack:PyTorchLLMTraining pipelinesInferenceMonitoringDatasetsProduction

Company Brief

Sesame
Operates an online marketplace connecting patients with affordable direct-pay healthcare services, offering telemedicine and in-person appointments with doctors, dentists, therapists, and specialists without insurance, focusing on transparent pricing and accessible care.
Industry: HealthTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: New York, United States
Founded: 2016
Website