Machine Learning Engineer

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August 8

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Voxel51

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Artificial Intelligence • Data Curation & Management • Healthcare

Voxel51 is the most powerful Visual AI and computer vision data platform that maximizes AI performance with better data. It helps enterprises unlock the value of their data by streamlining data curation, management, and annotation workflows, leading to increased accuracy and productivity in machine learning projects. With capabilities like multimodal data support and robust model evaluation, Voxel51 enables users to build cleaner datasets and derive better insights faster, all while ensuring enterprise-grade security and compliance.

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

📋 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, 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 3 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 distributed team is located across North America today. • 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. • 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.

🎯 Requirements

• 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

🏖️ Benefits

• equity in the form of options • a variety of benefits • opportunity to grow in an exciting and collaborative environment