USD per year
Senior Software Engineer, GenAI
San Francisco, CA; New York, NY
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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 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, build, and maintain robust, scalable systems across the full stack,... including front-end,... back-end,... infrastructure layers
- Implement high-impact features using modern technologies such as TypeScript,... React,... Node.js,... MongoDB,... Elasticsearch,... Temporal
- Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast,... pragmatic solutions
- Own core systems critical to our contributor platform,... direct impact on Scale’s GenAI data pipeline... business outcomes
- Architect... scale infrastructure capable of handling millions of tasks per week with high reliability... low latency
- Partner cross-functionally with ML teams,... Forward Deployed Engineers,... Product... ensure data quality... operational excellence
- Contribute to a strong engineering culture while setting best practices for teammates through mentorship,... code reviews,... process improvements
Requirements:
- 5+ years of software engineering experience,... ideally in high-growth,... product-focused environments
- Proven track record of shipping production systems at scale
- Drive reliability... performance across critical infrastructure systems,... platforms scale predictably... operate with high availability.
- Strong technical depth in one or more areas: front-end frameworks,... distributed systems,... data infrastructure,... developer tooling
- Experience working across stack,... ideally with React,... TypeScript,... Node.js,... Python,... MongoDB,... Elasticsearch,... Temporal
- Strong product sense... ability translate ambiguous problems into technical solutions
- Comfortable working in fast-paced... high-ownership environment with bias toward execution
- Excited join dynamic hybrid team based in San Francisco or New York City
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects minimum... and maximum target for new hire salaries for 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 Board Director approval. Your recruiter can share more about specific salary range preferred location during hiring process, and confirm whether hired role will be eligible equity grant. You’ll also receive benefits including, but not limited: Comprehensive health, dental... and vision coverage, retirement benefits, a learning... and development stipend, and generous PTO. Additionally, this role may be eligible additional benefits such commuter stipend. Please reference job posting's subtitle where this position located. For pay transparency purposes, the base salary range full-time position locations San Francisco, New York, Seattle is: $216200—$270250 USD
About Us:
At Scale, ur mission develop reliable AI systems world's most important decisions. Our products provide high-quality data... and full-stack technologies power world's leading models, and help enterprises... governments build, deploy, and oversee AI applications deliver real impact. We work closely industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government Qatar, and U.S. government agencies including Army... and Air Force. We expanding team accelerate development AI applications. We believe everyone should bring whole selves work, w which proud inclusive... equal opportunity workplace. We committed equal employment opportunity regardless race... color... ance... eligion... s... national origin... s orientation... age... citizenship... m status... disability status... gender identity Veteran status. We committed working providing reasonable accommodations applicants physical mental disabilities. If need assistance reasonable accommodation application recruiting process due disability, please contact accommodations@scale.com. Please see United States Department Labor's [Know Your Rights poster](#) additional information. We comply United States Department Labor's [Pay Transparency provision](#).
Scale AI provides high-quality data and full-stack technologies that power the world’s leading models and enable enterprises and governments to build, deploy, and oversee AI applications that deliver real impact. They offer a data-centric, end-to-end solution to manage the entire machine learning lifecycle, combining cutting edge technology with operational excellence to help teams develop the highest-quality datasets.
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