Senior Software Engineer (GenAI)

Scale AI; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health coverage

Dental & Vision Insurance

Learning & development stipend

Parental support

Job summary

Scale AI is seeking a senior software engineer for a hybrid role based in New York City or San Francisco. You will design, build, and maintain scalable full-stack systems powering Scale’s GenAI data pipeline and contributor platform, collaborating with ML teams and product teams.

The ideal candidate has 5+ years of software engineering experience, strong frontend and backend skills, and deep knowledge of React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and Temporal.

Qualifications

• 5+ years of software engineering experience in high-growth, product-focused environments.
• Ability to translate ambiguous problems into technical solutions.
• Experience across the full stack, especially React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal.

Responsibilities

• Design, build, and maintain robust, scalable systems across the full stack.
• Own core systems for Scale’s contributor platform and GenAI data pipeline.
• Scale infrastructure to handle millions of tasks weekly with high reliability.
• Collaborate with ML teams, Forward Deployed Engineers, and Product to ensure data quality.

Skills

React

TypeScript

Node.js

Python

MongoDB

Elasticsearch

Temporal

Frontend frameworks

Distributed systems

Data infrastructure

Developer tooling

Tools

React

TypeScript

Node.js

Python

MongoDB

Elasticsearch

Temporal

Job description

• 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
• 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

Benefits

• Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
• Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
• Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
• Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

• Strong product sense and ability to translate ambiguous problems into technical solutions
• Excited to join a dynamic hybrid team based in San Francisco or New York City
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability
• Proven track record of shipping production systems at scale
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling