Infrastructure Software Engineer, Snorkel AI
$143-185k
All offers include equity compensation in the form of employee stock options
1+ day a week in office (Redwood City, CA)
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$143-185k
All offers include equity compensation in the form of employee stock options
1+ day a week in office (Redwood City, CA)
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
- 4+ years of experience in distributed systems and cloud-native applications
- Proficiency in automation, scripting languages, and infrastructure-as-code tools
- Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
- Strong communication and coding skills
- Proactive and positive attitude
Desirable
- 6+ years of professional software engineering experience
- Strong development and debugging skills in Python
- Experience implementing CI/CD (e.g. CircleCI)
- Familiarity with working with large-scale enterprise software deployments
- Familiarity with authentication and authorization best practices and Knowledge of common authentication technologies including OAuth, SAML
- Familiar with common security best practices, architecture design and implementation
What the job involves
- Design, develop and maintain enterprise features for the platform (including but not limited to authentication/authorization, RBAC, data governance)
- Build and improve automation, effective monitoring and alerting for infrastructure and the platform
- Deploy and maintain CI/CD pipelines across multiple environments and continuously improve development and deployment best practices
- Collaborate with enterprise customers to understand product use cases and translate into engineering specifications, and deliver high-quality solutions
- Participate in on-call responsibilities in rotation with the engineering team
- Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays
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
Insights
Some candidates hear
back within 2 weeks
-13% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES C
Apr 2021
$35m
SERIES B
Total funding: $135m
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 values
- We cultivate autonomy across the entire team by being open about our goals, wins, and challenges.
- We get to answers fast, focusing on what works—not what's fancy.
- In our field of AI and software engineering, we believe that diverse thinkers increase collective insights and knowledge.
Company HQ
Centennial, Redwood City, CA
Articles
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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