Staff Software Engineer, Full Stack - Gen AI

Scale AI
New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 252,000 - 315,000Function: Software EngineeringExperience: 7+ yearsSkills: ["Leadership","Mentoring","Problem-solving"]

Lead full-stack engineering and architecture for Scale’s Generative AI Data Engine, partnering across Contributor (CB) teams to deliver mission-critical initiatives. You’ll deploy into fast-moving product work, drive a platform infrastructure overhaul, and make key decisions for scalability, reliability, and performance. Work end-to-end across backend, frontend, and ML systems while mentoring engineers and partnering with product and leadership to shape roadmap priorities.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
2 months ago

Staff Software Engineer, Full Stack - Gen AI

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead full-stack engineering and architecture for Scale’s Generative AI Data Engine, partnering across Contributor (CB) teams to deliver mission-critical initiatives. You’ll deploy into fast-moving product work, drive a platform infrastructure overhaul, and make key decisions for scalability, reliability, and performance. Work end-to-end across backend, frontend, and ML systems while mentoring engineers and partnering with product and leadership to shape roadmap priorities.
Location: New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Deploy across critical, fast-moving initiatives across the Contributor (CB) organization.
  • •Lead the architectural overhaul of platform infrastructure to make it sustainable, robust, and deeply integrated with LLMs and foundation models.
  • •Drive architecture decisions for scalability, reliability, and performance.
  • •Mentor and uplevel engineers across the team.
  • •Own large, ambiguous problem spaces end-to-end across backend, frontend, and ML systems.

Pay and Benefits

Salary: USD 252,000 - 315,000
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid Leave

Key Requirements

  • •7+ years of full-time engineering experience post-graduation with a proven track record as a Tech Lead, Architect, or Principal Engineer.
  • •Proven ability to ship high-quality products and features at scale.
  • •Experience tinkering with or productizing LLMs and vector databases, along with other modern AI technologies.
  • •Proficiency in JavaScript/TypeScript and SQL.
  • •Experience with Kubernetes and major cloud providers (AWS, Azure, GCP).
Experience:7+ yearsGenerative AILLMsRLHFAI data platformsVector databases
Skills:LeadershipMentoringProblem-solving
Languages:English
Tech Stack:JavaScriptTypeScriptSQLKubernetesAWSAzureGCPLLMsVector databasesRLHF

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn