Senior Software Engineer, Snorkel AI
Infrastructure
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
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 demonstrated experience
- Strong development and debugging skills in Python
- 5+ years of software development experience in distributed systems and cloud-native applications
- Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)
- Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
- Proficiency in code and system health, diagnosis, resolution and software test engineering
- Strong communication and coding skills
- Regularly follows the best software engineering practices and hold a high bar for the team by leading design, code review and test plan reviews
- Preferred Skills
Desirable
- Extremely well versed in building and managing cloud infrastructure for enterprise platforms on (AWS, GCP, Azure) and services like EC2, EKS, VPC etc
- Experience in one or more of the build tools like Bazel, Gradle, Make etc. Extra points for someone who has hands on experience in building and managing large code bases with these tools
- Designed and implemented developer-friendly APIs or tools to boost developer productivity
- Familiarity in deployment, monitoring and maintenance of large-scale enterprise software products
- Familiarity in developing and releasing infrastructure software for SaaS and on-prem platforms
- Hands-on experience setting up and operating Kubernetes clusters at scale[Nice to have]: Experience with large scale distributed computing systems for ML Training or Serving, eg: Ray, Spark, Tensorflow etc
- Hands-on experience in creating and maintaining metrics and dashboards on observability platforms such as New Relic, DataDog, Chronosphere, or similar tools
- Experience building services and infrastructure for Machine learning and AI Systems
- Experience in cloud networking, security and service mesh like istio
What the job involves
- As a Senior Software Engineer on the Infrastructure team, you'll accelerate the Snorkel AI team and our customers by improving our developer platform and services for user and data management across the stack.
- You’ll work closely with other engineers, researchers, and product management to align on the highest leverage improvements for CI/CD, cloud infrastructure, deployment, security, authentication/authorization, and more
- Design, build, and maintain services and deployment for Snorkel’s enterprise platforms
- Design, build, and improve observability and alerting for Snorkel’s enterprise platforms
- Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers
- Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy
- Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same
- Deploy and optimize 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 rotations, post-incident reviews, and other operational duties to ensure service delivery quality
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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