Snorkel AI

3 months ago

Senior Software Engineer - Expert Contributor Lifecycle

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior Backend Engineer responsible for end-to-end EC lifecycle systems, onboarding workflows, and scalable data-management pipelines. You’ll design mission-critical backend services, build integrations with third-party platforms, automate EC supply and deployment, and drive CI/CD strategy in a fast-paced AI data platform, collaborating with ML, product, and design teams in a hybrid (Redwood City/San Francisco) setting.

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 190,000 - 240,000 annually

Key Requirements

•8+ years of software engineering experience.
•6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
•Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
•Expertise designing REST for internal services and developers.
•Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.

Experience:8+ yearsAIMachine learningData collectionEnterprise software

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Languages:English

Tech Stack:TerraformDockerKubernetesAWSRESTCI/CDCircleCIBuildkiteGitHub ActionsHelm

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn

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Snorkel AI

3 months ago

Senior Software Engineer - Expert Contributor Lifecycle

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 190,000 - 240,000 annually

Key Requirements

•8+ years of software engineering experience.
•6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
•Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
•Expertise designing REST for internal services and developers.
•Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.

Experience:8+ yearsAIMachine learningData collectionEnterprise software

Skills:CommunicationCollaborationProblem-solvingLeadershipTeamwork

Languages:English

Tech Stack:TerraformDockerKubernetesAWSRESTCI/CDCircleCIBuildkiteGitHub ActionsHelm

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn