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 software engineer 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 build clean, scalable APIs and 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 while also emphasizing enterprise-grade engineering for our commercial products.
What you will do
- Design and develop open source and enterprise APIs and backend systems.
- Lead, mentor, design, and deliver.
- Build data models that scale from individual users to Fortune 500 companies; processing petabytes of data.
What you should bring
- 8+ years of professional software engineering experience developing flexible and scalable APIs and software architectures.
- BS or MS in computer science or a related field.
- Proficiency with Python.
- Expertise with NoSQL databases (MongoDB, DocumentDB, Elasticsearch).
- Familiarity 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).
The cash compensation for this person is in the $225K - $260K 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. If there is interest and your salary expectation exceeds what we have posted here, please don't hesitate to reach out, as we're happy to discuss.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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