Full Stack Software Engineer, Scale AI
Scale GP
$179.4-224.3k
Training and validation data for AI applications
Job no longer available
Training and validation data for AI applications
1001+ employees
Job no longer available
$179.4-224.3k
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end
- 2+ years of full-time engineering experience, post-graduation working in a production environment
- Strong experience developing full-stack applications using React, TypeScript, and Python
- Experience scaling or shipping products at high-growth startups
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)
- Proficiency with SQL and modern API development
- Experience with Kubernetes, containerization, and microservice architectures
- Experience working with at least one major cloud provider (AWS, GCP, or Azure)
What the job involves
- Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more
- We are seeking a strong Full-Stack Engineer to help us build, scale, and refine our rapidly growing product
- You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems
- Own major full-stack product areas, driving features from design through production deployment
- Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components
- Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences
- Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers
- Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP
- Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack
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. So, 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 & 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.
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
Salary benchmarks
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