Software Engineer, Snorkel AI
Data Infrastructure
$110-200k
+ Stock Options
3 days 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
$110-200k
+ Stock Options
3 days 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, or equivalent professional experience
- 2+ years of experience in software development, preferably in distributed systems or cloud-native applications
- Strong Python development and debugging skills
- Excellent communication skills and a track record of cross-functional collaboration
Desirable
- Experience with storage infrastructure or storage technologies
- Familiarity with cloud storage solutions (e.g., S3, GCS)
- Familiarity with databases (e.g., Postgres) and ORMs
- Ability to own problems end-to-end and learn new domains or technologies quickly
- Ability to design and integrate storage access controls with IAM systems
- Experience with Kubernetes
What the job involves
- As a Software Engineer on our Enterprise & Data Infra team, you’ll focus on the Data Infra pillar, designing and building scalable services, APIs, and libraries that power data workloads across Snorkel’s enterprise platforms.
- You’ll tackle challenges involving structured and unstructured data, multiple storage types (hot/warm/cold), and various deployment models (public cloud/private cloud/on-prem).
- If you enjoy architecting performant data infrastructure solutions and working with modern data technologies, this is a unique opportunity to drive impactful innovation in the AI/ML space
- Data Infrastructure Development
- Design, build, and maintain scalable services, APIs, and libraries for managing data workloads on Snorkel’s enterprise platforms
- Implement secure, access-controlled, and governance-enabled storage solutions that meet diverse needs for structured/unstructured data
- Integrate and support data ingress/egress with popular data providers (e.g., AWS, Databricks, Snowflake)
- Scalability & Performance
- Work closely with cross-functional engineering teams to define workload and performance requirements for different storage tiers (hot, warm, cold)
- Architect flexible solutions that can be deployed in various environments, including public and private clouds, as well as on-premises
- Collaboration & Operations
- Collaborate with enterprise customers to understand their use cases, translate them into engineering specifications, and deliver high-quality solutions
- Participate in an on-call rotation to troubleshoot and resolve production issues
- Work a hybrid schedule of three days per week in our Redwood City HQ or SF office
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
Insights
Few 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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