Principal Software Engineer, Snorkel AI
AI Platform
$275-300k
1+ day a week in office
Data-centric enterprise AI platform for
Be an early applicant
Data-centric enterprise AI platform for
101-200 employees
Be an early applicant
$275-300k
1+ day a week in office
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- Bachelor’s degree in Computer Science or related field
- 12+ years of experience in designing and building customer-facing software systems for cloud-native applications
- Deep experience with AI/ML frameworks and pipelines
- Experience at high-growth technology startups
- Experience building software products for large enterprise customers
- Experience with architecting and developing production web-scale systems (including monitoring, telemetry, performance, reliability, triage, and debuggability)
- Deep experience with Python, distributed computing, and cloud platforms
- Passion for promoting technical communication, mentorship, and improving engineering culture
Desirable
- 15+ years of professional software engineering experience
- Experience designing software development platforms for machine learning or data-focused practitioners
- Experience with Typescript and React
- Experience with engineering management and/or developing growth programs for engineering organizations (e.g. career ladders, mentorship, upskilling)
What the job involves
- We are looking for a Principal Software Engineer to shape our product and technical systems to meet the AI challenges of today and tomorrow
- As a Principal Software Engineer, you’ll work across teams and across the stack to deliver major new features and infrastructure, to improve our practices and culture, and to align Engineering on a shared technical vision
- You will be a key technical advisor to company leadership, act as a mentor and role model for every engineer, and think years ahead about how Snorkel AI can deliver on its technical mission to democratize AI through data
- There is no concise focus for your role; you must be excited to take on the biggest, most ambiguous, and most rewarding challenges that arise
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. As of 2023, this customer base has tripled in size since Snorkel AI's founding and in 2024, enjoyed a new round of funding. With these promising developments, the company continues to innovate the sector.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Home office allowance
- Yearly wellness stipend
- Healthy meals, snacks & drinks in office
- 401k with a 100% match up to 5% of annual salary
- Regular team events
- Generous paid parental leave
- Work from home opportunities
- Health insurance
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
Paroma Varma
(Co-founder)They hold a PhD from Stanford and was VP of Corporate Relations at the Society of Women Engineers. They have collaborated with teams at Facebook and Intel.
Braden Hancock
(Co-founder & Head of Technology)They have a PhD in Computer Science from Stanford, and worked as a Research Assistant with the Air Force and MIT. They were also a Software Engineer at Google, and a Researcher at Facebook.
Henry Ehrenberg
(Co-Founder)They studied at Yale and Stanford and worked at Facebook as a Quantitative Engineering Intern and a Senior Applied Research Scientist.
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