Machine Learning Engineer, Voxel51
$180-240k
+ Equity
Data platform for computer vision models
Be an early applicant
Data platform for computer vision models
21-100 employees
Be an early applicant
$180-240k
+ Equity
21-100 employees
Company mission
Voxel51's mission is to bring transparency and clarity to the world's data through its computer vision data modelling platform.
Role
Who you are
- 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
What the job involves
- As a Machine Learning Engineer here 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 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)
- 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 work with unstructured datasets and building state of the models
- Scale data-centric AI approaches to world scale, with billions of samples across continually learning models
- Work with UX designers and core software engineers ro bring these state-of-the-art AI capabilities to life in software
- 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
Our take
Recent innovations in computer vision mean that AI can recognise images within large-scale datasets, presenting significant opportunities for innovation in just about every industry. However, this only works successfully when AI is trained with high-quality datasets, and it is difficult to organize, locate, and correct mistakes at such high scale.
Voxel51 provides a data platform for computer vision models called FiftyOne, an open-source toolkit that helps users automate the organization, navigation, and creation of computer vision models, regardless of size. The platform also includes automated data quality control tools to help users identify detrimental mistakes within models, a process that is necessary for successful computer vision.
Many startups are tackling inefficient computer vision workflows, but Voxel51 has found a gap in the market by focusing specifically on the laborious manual processes associated with organizing and aggregating high-quality datasets. It has formed a collaborative partnership with Google, empowering its platform with Google's pre-annotated image datasets, and recently announced an AI assistant that can generate Python Code for computer vision dataset analysis.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2024
$30m
SERIES B
Sep 2022
$12.5m
SERIES A
Total funding: $45.8m
Company benefits
- Medical, Dental & Vision
- Flexible work schedules
- Generous PTO
- Family-friendly policies
- Stock options
- 401k matching
- Flexible set-up
- Rich team building
- Healthy remote playbook
Company HQ
Ann Arbor, MI
Leadership
Jason Corso
(Chief Science Officer)Experience as Director of the Stevens Institute for Artificial Intelligence. Associate Professor of Electrical Engineering and Computer Science at the University of Michigan since 2014.
Brian Moore
(CEO)Was a Software Engineering and Research Intern at Google. Also a Graduate Research Assistant at the University of Michigan from 2012 to 2017.
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