Software Engineer, Scale AI
Enterprise
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- If you're excited about pushing the boundaries of AI-driven product development, we want to hear from you
- 2+ years of experience developing backend or full-stack applications, with a strong emphasis on backend engineering
- Strong proficiency in Python and backend frameworks such as FastAPI or Flask
- Familiarity with frontend technologies (Next.js, React, TypeScript, Tailwind) with an eye for building polished, user-friendly interfaces
- Experience making trade-offs between speed and quality in fast-paced environments
- A passion for AI and experience working on AI-first applications, agent-based systems, or data-rich web platforms
- Strong cloud experience (AWS, Azure, GCP), including containerized deployments (Docker, Kubernetes) and cloud services (AWS Lambda, S3, DynamoDB, etc.)
- A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life
What the job involves
- We’re looking for a Software Engineer (Product) to help shape the future of AI-powered applications
- In this role, you’ll bridge the gap between AI research and production, turning innovative prototypes into scalable, high-performance enterprise solutions
- You’ll build interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI
- This is a rare opportunity to be at the center of the GenAI revolution, working on products that impact millions of users while developing core AI infrastructure for some of the world’s largest companies
- At Scale, we don’t just follow AI advancements — we lead them
- Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption
- Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI
- Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation
- Develop and refine features for Scale’s GenAI Platform, enabling businesses to build, deploy, and manage AI-driven agents with robust backend capabilities
- Implement scalable APIs and services in Python, leveraging frameworks like FastAPI, to support real-time AI applications and large-scale data processing
- Build and maintain full stack web applications using modern frameworks and technologies Next.js, React, TypeScript, and Tailwind
- Integrate AI models and evaluation systems, working closely with ML teams to enhance agent reasoning, response quality, and decision-making
- Manage and optimize cloud infrastructure, ensuring high availability, performance, and security in AWS, Azure, or GCP environments
- Ship features at a rapid pace, maintaining high code quality, observability, and performance across backend systems
Salary benchmarks
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. By positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: 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
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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