Machine Learning Scientist

Key Skills

Aartificial intelligence, Design, Github, Machine learning techniques, NumPy, Planning and organization, PyTorch, TensorFlow

Job Description

First and most importantly: our mission is to bring transparency and clarity to the world's data.

Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.

We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 2 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-remote team is based across North America today.

About your role

As a machine learning scientist at Voxel51, you’ll collaborate with a team that delivers features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle. You’ll research, design, and implement powerful and extensible methods that users interact with via both API and no-code workflows, and you’ll solve unique challenges that arise when working with unstructured data (images and video). You’ll have the opportunity to contribute to a thriving open source community and establish yourself as a thought leader in data-centric ML through blog posts, video tutorials, training sessions, and more. Your work will bridge the gap between theoretical backing and the practical realities of machine learning. Your findings will directly impact the AI research and engineering being done at fortune 100 companies, and by our tens of thousands of source users.

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

• Research, design, and implement methods for curating unstructured datasets and analyzing ML models
• Build powerful and extensible APIs and methods that are used by individuals, startups, and enterprise ML teams
• Establish yourself as a thought leader in data-centric ML through earned marketing activities (blog posts, video tutorials, training sessions)
• Take an active leadership role in informing company technical strategy to create the leading data-centric ML product
• Be a team player: communicate, document, suggest, and get things done!

What you should bring

• 5+ years of professional experience working on an applied ML product
• MS or PhD in computer science or a related field
• Proficiency with Python
• Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
• 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)
• Record of being able to generate reproducible research
• Passion for elegant software engineering

The cash compensation for this person is in the $200K-$250K 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.