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Voxel51

Machine Learning Engineer

Sorry, this job was removed at 11:11 a.m. (CST) on Thursday, Mar 12, 2026
Remote
Hiring Remotely in USA
Remote
Hiring Remotely in USA

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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, including dozens from the Fortune 500.

We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 4 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.

We are fully remote, hiring for people based in North America and who are prepared to travel to at least 2 in-person retreats per year.

About your role

As a Machine Learning Engineer here at Voxel51, you’ll collaborate with a team that delivers innovative features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle, with a current emphasis on Visual AI. You’ll build 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,video, point-clouds, and meshes). Additionally, you will have the opportunity to contribute to a thriving open source community while also emphasizing enterprise-grade engineering for our commercial products.

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

  • Push the boundaries of open-source data-centric AI with an emphasis on innovating new capabilities for our users to effectively work with unstructured datasets and building state of the models.
  • Scale data-centric AI approaches for the world’s largest enterprises to world scale, with billions of samples across continually learning models.
  • Work with UX designers and core software engineers to bring these state-of-the-art AI capabilities to life in production software ecosystems.
  • Play an active role in the discussion to inform company technical strategy as we build the software refinery that brings transparency and clarity to the world’s data.

What you should bring

  • 3+ years of professional software engineering experience developing ML products and software systems
  • BS or MS in computer science or a related field
  • Expertise with Python and a passion for elegant software
  • Expertise with machine learning and scientific computing libraries (PyTorch, NumPy)
  • Familiarity with NoSQL databases (MongoDB, DocumentDB, Elasticsearch)
  • 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)
  • Initiative and radical candor to constructively collaborate with your new teammates and our large user-base

The cash compensation for this person is in the $180K - $240K 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.

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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