Software Engineer, Gen AI
AI summary of the role
This role is for a Software Engineer on Scale's Gen AI Data Engine team, building and scaling the systems that power RLHF, model evaluation, and data operations for frontier LLMs.
What you’ll do
- Design and implement features end-to-end across front-end, back-end, and infrastructure
- Build features using TypeScript, MongoDB, Elasticsearch, and contribute to the compute orchestration layer powered by Temporal
- Own high-impact technical systems critical to Scale’s revenue delivery
- Build and iterate on complex systems that scale to millions of tasks per week
What you’ll bring
- 3+ years of relevant software engineering experience
- Track record of building and shipping products at scale
- Experience across the stack: React, Typescript, Node, Python, etc.
- Ability to thrive in a fast-paced, high-ownership environment
Technologies
TypeScript · MongoDB · Elasticsearch · Temporal · React · Node · Python
About Scale AI
Data, evals, and GenAI platform for frontier labs, enterprises, and governments — the picks-and-shovels layer for production AI.
Series G
Source and classification
Internal deployment & tooling · Evidence for this classification:
how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. 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. Responsibilities: Design and implement features end-to-end across front-end, back-end, and infrastructure Build features end-to-end
More from the job description
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilitie [... source excerpt omitted ...] rity 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. Responsibilities: Design and implement features end-to-end across front-end, back-end, and infrastructure Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal Own high-impact technical systems that are critical to Scale’s revenue delivery Build and iterate on complex systems that scale to millions of tasks per week Collaborate with model teams, Forward Deployed Engineers, and cross-functional stake [... source excerpt omitted ...] sive 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 le
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