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
Contribute ML-specific features to our product, FiftyOne

Requirements

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)
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)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningComputer VisionPythonTensorFlowPyTorchNumPyNoSQL databasesMongoDBDocumentDBElasticsearch

Soft Skills

customer-facing experiencerelationship managementcommunicationcollaborationtrainingonboardinginfluencingproblem-solvingtriagingremote work

Certifications

BS in Computer ScienceMS in Computer Science