3 months ago

Senior Software Engineer - AI / ML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior AI/ML Engineer to architect and operate the AI Platform at Snorkel AI, focusing on distributed systems, LLM infrastructure, synthetic data, and agentic orchestration. You will design APIs and orchestration layers, generate synthetic data at scale, evaluate agentic systems, and provision RL environments, while working a hybrid schedule in the Bay Area offices.

Location: Redwood City, San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations.
•Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications.
•Generate and refine synthetic data at massive scale.
•Create and evaluate agentic systems that reason, act, and improve over time.
•Provision RL training environments and simulation frameworks for next-generation AI agents.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Key Requirements

•6+ years of experience building customer-facing, cloud-native software systems.
•Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows.
•Experience with distributed computing, large-scale data systems, or orchestration frameworks.
•Experience at high-growth technology startups.
•Experience building software products for large enterprise customers.

Experience:6+ yearsAIMLCloudDistributed systems

Skills:Problem-solvingCommunicationCollaborationDebuggingReliability

Languages:English

Tech Stack:PythonAWSGCPAzureLLMsRLAPIsDistributed systems

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 - AI / ML

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Architect the core platform that powers synthetic data generation, agentic workflows, RL environments, and scalable LLM operations.
•Design and evolve the APIs, compute services, and orchestration layers that empower internal and customer-facing applications.
•Generate and refine synthetic data at massive scale.
•Create and evaluate agentic systems that reason, act, and improve over time.
•Provision RL training environments and simulation frameworks for next-generation AI agents.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Key Requirements

•6+ years of experience building customer-facing, cloud-native software systems.
•Deep experience with AI/ML pipelines, LLM-based systems, or agentic workflows.
•Experience with distributed computing, large-scale data systems, or orchestration frameworks.
•Experience at high-growth technology startups.
•Experience building software products for large enterprise customers.

Experience:6+ yearsAIMLCloudDistributed systems

Skills:Problem-solvingCommunicationCollaborationDebuggingReliability

Languages:English

Tech Stack:PythonAWSGCPAzureLLMsRLAPIsDistributed systems

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