Machine Learning Customer Engineer, Snorkel AI
$120-160k
Salary applicable to S.F, L.A and N.Y candidates. + Stock options
More information about location
Data-centric enterprise AI platform for
Open for applications
Data-centric enterprise AI platform for
101-200 employees
Open for applications
$120-160k
Salary applicable to S.F, L.A and N.Y candidates. + Stock options
More information about location
101-200 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
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
Insights
Some 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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