Software Engineer - Operations

1 Month ago • All levels • $145,000 PA - $240,000 PA

Job Summary

Job Description

This role is for the founding members of the Operations engineering team, responsible for redefining how large organizations meet data annotation needs. The team will develop project-specific automations and optimizations to accelerate data generation, labeling, and quality checks. These improvements will provide feedback for the fast-growing DaaS product. The engineer will work with various teams to create innovative workflows for ML models. The job includes building automation scripts, solving problems, creating interactive dashboards, and designing database schemas.

Must have:

Build automation scripts for annotation workflows
Solve problems to meet customer requirements and deadlines
Create interactive dashboards for operations teams
Design and optimize relational database schemas
Work with OpenAI APIs and other LLM-related tools

Good to have:

Experience at a startup
Familiarity with 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

Perks:

Comprehensive medical, dental, and vision plans
Yearly wellness stipend
401k program
Parental leave program (up to 20 weeks paid time off)
Workstation setup allowance
Equity compensation in the form of employee stock options

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

kubernetes

mongodb

redis

python

docker

cross-functional

Job Details

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

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, you 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.

If you’re excited about defining the future of data-centric AI and delivering immediate business value to our customers by solving their data problem in a fast-paced environment, we’d love to have you on board! 🚀

Location: Redwood City or San Francisco (Hybrid)

Main Responsibilities

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.

Preferred Qualifications

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

The salary range for this position based in the San Francisco Bay Area is $145,000.00 - $240,000.00. All offers include equity compensation in the form of employee stock options.

Be Your Best At Snorkel

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.

Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.