What are the responsibilities and job description for the Machine Learning Customer Engineer position at NLP PEOPLE?
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
Preferred Qualifications
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.
Company : Snorkel AI
Equal Opportunity Employer
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.
J-18808-Ljbffr
Salary : $120,000 - $160,000