Software Engineer, Gen AI

About Scale AI

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 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 of a Software Engineer, Gen AI:

• 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 stakeholders
• Help shape the engineering culture, values, and best practices of a fast-growing team

Requirements:

• 3+ years of relevant software engineering experience
• Track record of building and shipping products at scale
• Ability to thrive in a fast-paced, high-ownership environment
• Strong product intuition and problem-solving skills
• Experience across the stack: React, Typescript, Node, Python, etc.
• Excited to join a hybrid team based in San Francisco or New York City

Compensation and Benefits:

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, determined by work location and additional factors, including job-related skills, experience, 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.

For pay transparency purposes, the base salary range for this full-time Software Engineer, Gen AI position in the locations of San Francisco, New York, Seattle is: $179,400—$224,250 USD.

Key skills/competency

• Generative AI
• Large Language Models (LLMs)
• Full-stack Development
• System Design
• Scalability
• TypeScript
• MongoDB
• Elasticsearch
• Temporal
• Cross-functional Collaboration