San Francisco; Bellevue; New York On-site Full-time USD 175,000 – 280,000 / year

Sesame is hiring a Software Engineer - Backend

Responsibilities

  • Architect and develop core backend infrastructure that supports the product, including ownership of data models, APIs, and distributed systems
  • Develop production-grade software with a focus on long-term scalability, correctness, and system reliability
  • Create and maintain reusable frameworks and libraries that enable other engineers to build efficiently
  • Manage end-to-end service lifecycle, from schema design and implementation to deployment, optimization, and on-call support
  • Select and manage appropriate data storage solutions, including relational databases, NoSQL systems, message queues, caches, and search indexes
  • Diagnose and resolve performance issues with attention to cost, latency, and throughput
  • Lead architectural design for complex systems integrating machine learning components, such as real-time audio processing and stateful conversational workflows
  • Identify and implement improvements to development workflows, potentially prototyping tools for broader infrastructure adoption

Benefits

  • Employer matches up to 3.5% of compensation toward 401(k) contributions
  • Full health, vision, and dental coverage for employees and dependents, fully paid by employer
  • Unlimited paid time off and sick leave
  • Flexible spending account with employer match up to $1,650 annually for medical expenses
  • Access to Guardian Employee Assistance Program (EAP)
  • Eligibility for competitive stock options tied to company performance

Other

Benefits are not available to contingent or contract workers

About company
Sesame

Personal intelligence with a point of view. Made to help you do more of what you love.

Sesame is an interdisciplinary team of artists, makers, and engineers focused on bringing ambient intelligence to daily life. We are building personal agents capable of holding natural conversations and devices that make them more effective.

Voice as an interface is nuanced and intimate, which makes it a difficult medium to get right. We believe that a great voice product calls for an interdisciplinary approach that tightly integrates hardware, software, and machine learning.

Deep and innovative machine learning research is essential to our goals. Our research team is actively pushing forward on multiple fronts, including speech generation, personality modeling, and multimodality.

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Job Details
Department Software
Category other
Posted 2 months ago