We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 3 million downloads to-date.

Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture , we are at the thrilling center of real-world AI advancement’s next wave.

And we’re built on three key tenets:

• We are all human beings : we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve.
• We are distributed : we believe in getting autonomy and power into the hands of people actually doing the work.
• We believe in the power of community.

Our fully distributed team is located across North America today.

About your role

As a Machine Learning Customer Success Engineer at Voxel51, you’ll work directly with our users, helping them identify best practices for their ML workflows using FiftyOne. You’ll partner with teams doing incredible things all over the world - from global-impact Fortune 100 companies to groundbreaking startups - helping them maximize their machine learning capabilities with FiftyOne. Internally, you'll serve as the voice of the customer, a critical role in shaping our product roadmap.

You’ll also contribute to a thriving open source ML product and community, and continue to build out our functionality and ecosystem.

Every member of our fully-remote team is empowered to own their work and play an active role in advancing our mission to democratize data-centric ML.

What you will do

80% of your time

• Work with users to identify best practices to implement their ML workflows
• Run point on customer implementation, triaging bug reports, and day-to-day relationship management with users through channels like Slack, email, and weekly meetings
• Generate training material and onboarding sessions and deliver them to users
• Work with our product team to influence the roadmap and be the voice of the user within the organization

20% of your time

• Contribute ML-specific features to our product, FiftyOne

What you should bring

• Professional Computer Vision Machine Learning Engineering experience (4 year+)
• Some customer-facing experience (3 year+)
• BS or MS in computer science or a related field
• Proficiency with Python
• Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
• Demonstrated interest in computer vision
• Familiarity with NoSQL databases (MongoDB, DocumentDB, Elasticsearch) is a plus
• Experience maintaining or contributing to open source projects
• Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)

The cash compensation for this person is in the $190K-$225K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.