Senior Software Engineer, Scale AI
Agentic Data Products
$216.2-270.3k
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$216.2-270.3k
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- 5+ years of full-time software engineering experience
- 0-1 product build experience
- Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
- Experience with distributed systems and cloud-based architectures
- Prior experience mentoring or leading team
- Strong product intuition and customer empathy
- Bias toward action and rapid iteration
- Ownership mentality — you see problems through to outcomes
- Comfort collaborating across engineering, product, data science, and applied AI
- Excitement about building agentic systems that make AI genuinely useful in the real world
- If you like shipping fast, owning outcomes, and working across the stack—from polished frontends to distributed backends to LLM integrations—this role is for you
What the job involves
- Scale GP is Scale’s enterprise Generative AI platform, providing APIs and infrastructure for knowledge retrieval, inference, evaluation, and intelligent automation
- We power mission-critical workflows for leading enterprises by helping teams turn complex data and models into reliable, production-ready AI systems
- We’re forming a new Agentic Data Products team focused on building the next generation of agent-powered tools that ground AI in real operational workflows
- Our goal is to help enterprises demystify their data layers and deploy intelligent, agentic systems that can reason over data, take action, and deliver measurable outcomes
- This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners
- You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions
- Own major full-stack product areas, driving features from concept and design through production deployment
- Build intuitive, high-performance frontend experiences using React + TypeScript
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
- Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
- Ship quickly through tight experimentation loops while maintaining high quality and reliability
- Help define the technical direction and architecture of a brand-new team and product surface
- Adapt across the stack and learn new tools as needed to solve real problems end-to-end
- Please note that in order to maintain integrity to our Scale titling philosophy, we do not internally use titles such as “senior,” but have levels to reflect seniority
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.
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