Engineering Manager, Generative AI

1 Month ago • All levels • Research Development

Job Summary

Job Description

The Engineering Manager will lead a team of 4-6 engineers within the Generative AI group. The role involves building and scaling tools and infrastructure for evaluating, training, and improving AI models. Responsibilities include collaborating with various teams, owning core product areas, architecting and delivering full-stack features, and mentoring engineers. The position requires hands-on technical leadership and a focus on product quality and user experience. The team works with leading ML organizations and emphasizes iterative development and experimentation.
Must have:
  • 6+ years of engineering experience with 2+ years leading teams
  • Proficiency in JavaScript/TypeScript
  • Experience with React.js
  • Experience building and scaling systems with MongoDB or similar databases
  • Deep familiarity with REST APIs and full-stack development
Good to have:
  • Experience with frontend testing frameworks (e.g. Cypress.js)
  • Background in enterprise SaaS
  • Worked directly on AI evaluation, human-in-the-loop systems, or RLHF workflows

Job Details

Engineering Manager, Generative AI

Software is eating the world, but AI is eating software.
At Scale, we're building the data engine behind the most advanced LLMs in the world, powering their evolution through RLHF, human evaluation, and alignment. As the industry races to deploy AI into every product, we’re focused on making sure these models are useful, safe, and aligned with human goals.

We’re looking for an Engineering Manager to lead a growing team within our Generative AI group—one of the most dynamic and high-impact teams at Scale. You’ll be building and scaling the tools and infrastructure that enable human experts to evaluate, train, and improve AI models at unprecedented scale.

You will:

  • Lead and grow a team of 4–6 engineers working on critical Gen AI product experiences and platform foundations.
  • Collaborate with product, operations, and other engineering teams across the full product lifecycle—from ideation to production.
  • Own core areas of our expert-facing product, with direct impact on how AI models are evaluated and trained.
  • Architect and deliver full-stack features end-to-end: front-end (React), back-end, system design, testing, and debugging.
  • Launch fast, iterate constantly—deliver experiments with velocity and high quality.
  • Mentor engineers, influence engineering processes, and help shape the team’s culture.
  • Partner directly with internal and external stakeholders—including some of the world’s leading ML organizations.

Ideally you’d:

  • Have 6+ years of engineering experience in fast-paced environments, including 2+ years leading teams.
  • Thrive in high-growth SaaS or AI/ML-focused startups and have shipped high-quality products at scale.
  • Be hands-on and technically strong, with the ability to dive deep into architecture and code.
  • Care deeply about product quality, performance, and user experience.
  • Love working cross-functionally and believe the best solutions come from tight collaboration.
  • Have strong communication skills and can work effectively with both technical and non-technical partners.

Technical skills we’re looking for:

  • Strong proficiency in JavaScript/TypeScript (required)
  • Experience with React.js (strongly preferred)
  • Experience building and scaling systems with MongoDB or similar databases
  • Deep familiarity with REST APIs and full-stack development
  • Ability to troubleshoot and optimize large-scale codebases for performance and scalability

Nice to have:

  • Experience with frontend testing frameworks (e.g. Cypress.js)
  • Background in enterprise SaaS
  • Worked directly on AI evaluation, human-in-the-loop systems, or RLHF workflows

Why Join Scale?

This is a unique opportunity to shape how advanced AI systems are trained and evaluated by humans. You’ll be working on one of the most mission-critical pieces of AI development at a time when the entire world is watching. If you want to push the boundaries of what’s possible with generative AI—and do it alongside a high-caliber, mission-driven team—we’d love to talk.

 

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, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

Similar Jobs

CGS Carrers - Software Development Engineer- C++, Telecom Billing Domain

CGS Carrers

India (Remote)
1 Month ago
Make - Senior Value Engineer

Make

Prague, Prague, Czechia (On-Site)
1 Month ago
Glean - Solutions Architect

Glean

Bengaluru, Karnataka, India (On-Site)
1 Month ago
IGG - Senior Backend Engineer

IGG

Singapore (On-Site)
7 Months ago
bytedance - Research Scientist in Foundation Model (Music) - 2025 Start (PhD)

bytedance

San Jose, California, United States (On-Site)
7 Months ago
Apple - Machine Learning Engineer

Apple

New York, New York, United States (On-Site)
1 Month ago
bytedance - Machine Learning Engineer Intern (Search-TikTok Recommendation)

bytedance

San Jose, California, United States (On-Site)
2 Months ago
WebFX - AI Digital Marketing Specialist

WebFX

Cape Town, Western Cape, South Africa (On-Site)
1 Month ago
Match Group - Senior ML Software Engineering Team Leader

Match Group

Seoul, South Korea (Hybrid)
8 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Nice - Software Engineer (Python/AWS)

Nice

Pune, Maharashtra, India (Hybrid)
1 Week ago
ISS Stoxx - Executive Compensation Analyst (Equity Plan Review & Analysis)

ISS Stoxx

Makati, Metro Manila, Philippines (Hybrid)
3 Weeks ago
Ajmera Infotech - React Developer

Ajmera Infotech

Hyderabad, Telangana, India (On-Site)
1 Month ago
Addepar - Sr. Staff Enterprise Architect

Addepar

Edinburgh, Scotland, United Kingdom (On-Site)
1 Month ago
Diligent Corporation - Senior Director, Partner Sales

Diligent Corporation

Japan (On-Site)
1 Month ago
Rippling - Senior Manager, Implementation Benefits

Rippling

United States (On-Site)
1 Week ago
Wolters Kluwer - Vice President, Consulting and Professional Services

Wolters Kluwer

Coppell, Texas, United States (Hybrid)
2 Weeks ago
cyara - Senior Enterprise Account Executive

cyara

United States (Remote)
1 Month ago
EveryMatrix - Mid/Senior Data Analyst

EveryMatrix

Yerevan, Yerevan, Armenia (On-Site)
2 Months ago
Raw Power Games - UX Frontend Developer

Raw Power Games

Copenhagen, Denmark (Hybrid)
3 Weeks ago

Get notifed when new similar jobs are uploaded

Jobs in Argentina

game ever studio - 3D Animation

game ever studio

Buenos Aires, Buenos Aires, Argentina (On-Site)
5 Days ago
Xepelin - Senior DevOps Engineer

Xepelin

Buenos Aires, Buenos Aires, Argentina (Remote)
1 Year ago
Betson Group - PR Manager

Betson Group

Buenos Aires, Buenos Aires, Argentina (On-Site)
1 Month ago
Xepelin - Software Engineer (backend) LATAM

Xepelin

Buenos Aires, Buenos Aires, Argentina (Remote)
1 Year ago
endava - Senior Salesforce Developer

endava

Buenos Aires, Buenos Aires, Argentina (On-Site)
4 Weeks ago
Evolution  - HR Generalist Junior

Evolution

Canning, Buenos Aires Province, Argentina (On-Site)
2 Weeks ago
hogarth - Freelance Front End Developer

hogarth

Buenos Aires, Buenos Aires, Argentina (On-Site)
3 Weeks ago
Salesforce - Business Development Representative - Argentina

Salesforce

Buenos Aires, Buenos Aires, Argentina (On-Site)
5 Months ago
Dentsu - HR Advisor

Dentsu

Buenos Aires, Buenos Aires, Argentina (On-Site)
2 Weeks ago
Marsh McLennan - Broker

Marsh McLennan

Córdoba Province, Argentina (Hybrid)
3 Weeks ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

Canva - Backend Software Engineer - Gen AI, Design Generation Experience

Canva

Brisbane, Queensland, Australia (Remote)
2 Months ago
Temporal Technologies - Staff Developer Advocate, AI

Temporal Technologies

San Francisco, California, United States (On-Site)
1 Month ago
NVIDIA - Deep Learning Performance Architect

NVIDIA

Bengaluru, Karnataka, India (Hybrid)
5 Months ago
Genies - Engineering Manager, Machine Learning

Genies

Los Angeles, California, United States (On-Site)
2 Months ago
Roblox - Senior Machine Learning Engineer

Roblox

San Mateo, California, United States (On-Site)
3 Weeks ago
Roblox - Senior Machine Learning Engineer, PhD New Grad - Creator Services Machine Intelligence

Roblox

San Mateo, California, United States (On-Site)
1 Month ago
PwC - Risk Services - AI Support Specialist

PwC

Singapore (On-Site)
8 Months ago
bytedance - Research Engineer Graduate (Machine Learning Sys-US) - 2024 Start (PhD)

bytedance

Seattle, Washington, United States (On-Site)
7 Months ago
Riot Games - Research Operation Coordinator

Riot Games

Shanghai, China (On-Site)
1 Year ago
Yahoo - Senior Machine Learning Engineer

Yahoo

United States (Hybrid)
3 Weeks ago

Get notifed when new similar jobs are uploaded

About The Company

New York, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

Seattle, Washington, United States (Remote)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Scale AI

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug