Machine Learning Customer Success Engineer

Our mission is to democratize data-centric ML. Why data-centric? Because nothing hinders machine learning systems more than poor quality data, and years of academic and industry experience have led us to the insight that the secret to getting ML models into production lies in improving datasets, not model architectures. Our software empowers individuals and enterprises with flexible workflows that help them develop a deep understanding of their data, curate rich datasets, train better models, and build performant ML systems. Our enterprise customers span sectors like robotics, security, retail, healthcare, and more.

We also believe that open source is the way to lead the data-centric ML revolution. Our open source project FiftyOne provides the building blocks for dataset analysis and integrates with complementary solutions across the ML stack. Tens of thousands of engineers and scientists use it everyday to get hands-on with their data, visualize complex labels, evaluate models, explore scenarios, identify failure modes, improve annotations, and much more.

Achieving our mission requires outstanding engineers, products, and marketing. Are you ready to help us bring data-centric ML to the world? Apply now to join us!

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.

This is a fully-remote role, however, we would prefer that you be available for West Coast US hours.

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 ML experience (1 year+)
• Some customer success experience (1 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 (or the passion to start!)
• Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)