Scale AI

Staff Software Engineer, Full Stack - Gen AI

Scale AI$252K — $315K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of engineering experience post-graduation
  • Proven track record as a Tech Lead, Architect, or Principal Engineer
  • Experience with LLMs and AI technologies
  • Proficient in Javascript/Typescript and SQL
  • Knowledge of Kubernetes
  • Familiarity with major cloud providers (AWS, Azure, GCP)

Responsibilities

  • Deploy flexibly into critical product initiatives across the Contributor teams
  • Lead the architectural overhaul to improve platform infrastructure for scalability and performance
  • Make architecture decisions to ensure platform reliability and robustness
  • Mentor and elevate engineering talent within the team
  • Collaborate with product and leadership to define roadmap and priorities
  • Manage complex, ambiguous problem spaces from start to finish
  • Work across backend, frontend, and machine learning systems

Benefits

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Possible commuter stipend
  • Equity-based compensation subject to approval
Full Job Description
This is a horizontal, high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.

Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth, Trust & Safety, Pay, and Allocations). Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.

You will:
  • Deploy flexibly into critical, fast-moving product initiatives across the CB organization
  • Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.
  • Lead architecture decisions for scalability, reliability, and performance
  • Mentor and uplevel engineers across the team
  • Partner with product and leadership to shape roadmap and priorities
  • Own large, ambiguous problem spaces end-to-end
  • Work across backend, frontend, and ML systems

Ideally you'd have:
  • 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.
  • Track record of shipping high-quality products and features at scale
  • Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
  • Proficient in Javascript/Typescript, and SQL
  • Experience with Kubernetes
  • Experience with major cloud providers (AWS, Azure, GCP)


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$252,000-$315,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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