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!

(This role can be remote or hybrid role based in New York City or Redwood City or Redwood City + San Francisco)

Machine Learning Support Engineer

As a Machine Learning Support Engineer (MLSE), you are integral to the post-sales journey for our enterprise customers. In this role, you will do more than manage issues and SLAs, you will help solve complex customer problems, collaborate cross-functionally with field and engineering resources, and serve as a trusted advisor. You will shepherd customers through their Snorkel journey and provide them with the guidance and knowledge required to accomplish their strategic goals using our product. The MLSE is an ultimate problem solver, provides creative solutions, actively contributes to the company’s growth and helps shape our product.

If growing your skills and solving some of the most challenging real world machine learning problems excites you, continue reading.

Main Responsibilities

Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.
Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.
Perform live working sessions to analyze and address customer reported issues.
Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.
Contribute to internal and external guides and docs, improving our self-service support materials.
Become an expert in the Snorkel Flow platform and assist our customers do the same.
Drive improvements in issue triage, reporting, and analysis to better understand customer pain points.
Be the voice for our customers and represent their needs and concerns to help drive our product roadmap.
As one of the first members of our Customer Success Team, you’ll play a key role in shaping our processes, best practices and the Snorkel product.

Minimum Qualifications

2+ years experience working in a technical customer-facing role.
B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.
Proficient in Python.
Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.
Experience with common support software like Zendesk, Jira, and Slack.

Preferred Qualifications

Track record of collaboration across field and engineering teams to manage support issues and resolution within accounts.
Previous experience working on machine learning projects or industry knowledge of standard technologies in the machine learning space.
2+ years experience programming as a software engineer or personal projects.
Experience with deploying and operating Kubernetes applications.

The salary range for our Tier 1 locations of San Francisco, Seattle, Los Angeles & New York is $120,000 - $160,000. All offers include equity compensation in the form of employee stock options.

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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.

Machine Learning Customer Engineer

Snorkel AI

Compensation Overview

Main Responsibilities

Minimum Qualifications

Preferred Qualifications

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