Senior Software Engineer, Snorkel AI

Operations

$200-250k

+ Employee stock options

MongoDB

Docker

Kubernetes

Python

Redis

Junior, Mid and Senior level

San Francisco Bay Area

1+ day a week in office

Data-centric enterprise AI platform for

Job no longer available

Data-centric enterprise AI platform for

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Job no longer available

$200-250k

+ Employee stock options

MongoDB

Docker

Kubernetes

Python

Redis

Junior, Mid and Senior level

San Francisco Bay Area

1+ day a week in office

101-200 employees

B2BArtificial IntelligenceEnterpriseSaaSData Integration

Company mission

To empower everyone to solve their most impactful problems through data-centric AI.

Job

Company

Role

Who you are

Experience at a startup
Familiarity with any scripting languages (python preferred) for data manipulation
Experience with LLM prompting, LLM evaluation, and LLM related frameworks
Knowledge of non-relational databases (e.g., MongoDB, Redis)
Experience with containerization using Docker and Kubernetes

What the job involves

We are looking for the founding members of our Operations engineering team
This team will be responsible for redefining how the world’s largest organizations meet large data annotation needs for groundbreaking models.
Building on Snorkel AI’s core platform centered around programmatic data development, FDEs will develop project-specific automations and optimizations to accelerate data generation, labeling, quality checks and more
These automation improvements will be used as critical product feedback to incorporate in our fast growing DaaS product. You will work closely with cross-functional teams such as research, engineering and operations to pioneer innovative workflows to power best-in-class ML models
Prototype and build automation scripts for large-scale annotation workflows
Be resourceful and creative in problem solving to meet customer requirements and deadline
Create interactive dashboards in support of cross-functional partners in the operations and project management teams
Design and optimize relational database schemas and complex queries to support high-performance data workflows
Work with OpenAI APIs and other LLM-related tools to develop AI/ML-powered features

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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