Senior Software Engineer, GenAI

Scale AI; United States; Hybrid; USD 188,000 - 235,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

A leading AI data company is seeking a Senior Software Engineer to design and maintain scalable systems for their GenAI platform. You will work closely with teams to implement features using technologies like TypeScript, React, and Node.js. This role offers competitive compensation and benefits, with a salary range of $188,000—$235,000, and the opportunity to work in a dynamic hybrid environment.

Qualifications

• 5+ years of software engineering experience in high-growth, product-focused environments.
• Proven track record of shipping production systems at scale.
• Strong technical depth in front-end frameworks, distributed systems, or developer tooling.

Responsibilities

• Design, build, and maintain robust, scalable systems across the full stack.
• Implement high-impact features using modern technologies.
• Collaborate closely with internal operators to identify bottlenecks.

Skills

Software engineering experience

Distributed systems

Front-end frameworks

MongoDB

React

TypeScript

Node.js

Elasticsearch

Python

Job description

Join to apply for the Senior Software Engineer, GenAI role at Scale AI.

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.

Data Engine & Approach

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.

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 & 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: $188,000—$235,000 USD.

Equal Opportunity

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 [e-mail]. We comply with the United States Department of Labor’s Pay Transparency provision. 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.