Machine Learning Customer Success Engineer

View full description

Requirements:

• Professional ML experience (2 year+)
• Some customer-facing 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)

Responsibilities:

• 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