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Staff Software Engineer (Expert Contributor Lifecycle)

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Onsite

Staff Software Engineer (Expert Contributor Lifecycle)

Snorkel AI

Staff Software Engineer (Expert Contributor Lifecycle)

Skills

Machine LearningAIAWSPerformance Management

2 months ago

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Important information


Contract type:

Permanent

Salary:

$240,000 – $290,000 / year

Location:

Redwood City, CA, USA

Work mode:

Onsite

Published on:

20 August 2026

What they need


  • As a Staff Backend Engineer at Snorkel, you will set the long-term technical direction and strategy for our Expert Contributor (EC) Platform. You will be responsible for defining and driving complex, multi-quarter architectural initiatives that ensure our services are innovative, scalable, and resilient. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models
  • Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention
  • Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems
  • Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality
  • Prototype, optimize, and maintain scalable services to power complex data user management pipelines
  • Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines
  • Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline
  • Build proactively with empathy for both customers and subject matter experts using our tools
  • Mentor and guide Senior and Mid-level engineers on technical design, best practices, and project execution across multiple teams
  • Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling
  • Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement

Benefits

  • Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
  • Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
  • PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
  • One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
  • Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
  • Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.- Expertise designing REST for internal services and developers
  • 8+ years of software engineering experience developing performant, intuitive, and scalable web application architectures and 2+ years working at a Staff level or equivalent
  • Ability to work in a fast-paced environment with strong technical communication skills
  • Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred)
  • Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
  • Experience developing and shipping enterprise software products, specifically those focused on data collection, or machine learning applications
  • Prior experience as a Tech Lead Manager (TLM) or equivalent role with a focus on cross-functional technical leadership and mentorship
  • Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn
  • Experience in hyper-growth startup environments or scaling engineering orgs

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