Senior Software Engineer, GenAI
Scale AI · New York City Metropolitan Area
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- On site
- Full-time
- $270,000 / year
- New York City Metropolitan Area
Job highlights
- Build scalable full-stack systems for GenAI data engines.
- Implement features using modern technologies like TypeScript, React.
- Own critical contributor platform systems.
- Architect infrastructure for millions of tasks weekly.
- Collaborate with ML, FDE, and Product teams.
About the role
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
- Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers.
- Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and 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, with direct impact on Scale’s GenAI data pipeline and business outcomes.
- Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency.
- Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence.
- Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and 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 and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
- Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling.
- Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal.
- Strong product sense and ability to translate ambiguous problems into technical solutions.
- Comfortable working in a fast-paced, high-ownership environment with a bias toward execution.
- Excited to join a dynamic 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 position in the locations of San Francisco, New York, Seattle is: $216,000—$270,000 USD
Important Notes
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 Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Key skills/competency
- Senior Software Engineer
- GenAI
- Full Stack Development
- TypeScript
- React
- Node.js
- MongoDB
- Elasticsearch
- Temporal
- System Design
Skills & topics
- Senior Software Engineer
- GenAI
- Software Development
- Full Stack
- TypeScript
- React
- Node.js
- Python
- Distributed Systems
- Data Infrastructure
- MLOps
- LLM
- Generative AI
- Scale AI
- San Francisco
- New York City
How to get hired
- Tailor your resume: Highlight experience with TypeScript, React, Node.js, and distributed systems, aligning with Scale AI's tech stack and requirements.
- Showcase impact: Quantify achievements in previous roles, demonstrating your ability to ship production systems at scale and drive reliability.
- Prepare for technical interviews: Brush up on system design, data structures, algorithms, and specific technologies like MongoDB and Elasticsearch.
- Demonstrate cultural fit: Research Scale AI's mission and values, emphasizing your collaborative spirit and bias for execution in a fast-paced environment.
- Ask insightful questions: Prepare questions about team structure, challenges, and growth opportunities to show engagement and strategic thinking.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the typical career growth opportunities for a Senior Software Engineer at Scale AI?
- As a Senior Software Engineer at Scale AI, you can expect opportunities for technical leadership, mentorship, and specialization in areas like GenAI, distributed systems, or data infrastructure. Advancement often involves taking on more complex projects, leading engineering initiatives, and contributing to architectural decisions, potentially leading to principal engineer or management roles depending on your career aspirations and the company's growth.
- How does Scale AI foster a strong engineering culture for its Senior Software Engineers?
- Scale AI emphasizes a strong engineering culture through practices like regular code reviews, mentorship opportunities, and encouraging knowledge sharing among teammates. The company values collaboration, a bias for execution, and setting best practices, ensuring that engineers have a platform to contribute to process improvements and technical excellence in a dynamic environment.
- What is the expected work arrangement for a Senior Software Engineer, GenAI at Scale AI?
- The Senior Software Engineer, GenAI role is part of a dynamic hybrid team, with opportunities based in San Francisco or New York City. This suggests a balance between in-office collaboration and remote flexibility, aligning with modern work trends.
- What kind of impact can a Senior Software Engineer have on Scale AI's GenAI data pipeline?
- Senior Software Engineers at Scale AI directly impact the GenAI data pipeline by owning core systems critical to the contributor platform. This involves designing, building, and maintaining scalable systems that handle millions of tasks weekly, directly influencing the quality and efficiency of data used to train advanced LLMs and generative models.
- How does Scale AI approach model evaluation and safety for its GenAI products?
- Scale AI is deepening its capabilities in model evaluation, safety, and alignment for its GenAI products. The Data Engine team specifically focuses on world-class RLHF, human data generation, model evaluation, safety, and alignment to ensure the responsible development of advanced LLMs and generative models.
- What technologies are most commonly used by the GenAI Engineering team at Scale AI?
- The GenAI Engineering team at Scale AI utilizes modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal. Experience with these technologies is highly valued for implementing high-impact features and building robust, scalable systems.