Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.
Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s.
What You'll Do
We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges.
Responsibilities
Build and maintain cloud infrastructure and distributed systems for MLOps
Build out internal training framework to make research with large distributed models easy and fun
Design and develop systems to support Voxel's ML development, with a focus on computer vision applications
Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance
Demonstrate a deep understanding of DevOps practices and apply them to ML operations
Utilize technologies such as Kubernetes and various CI/CD systems to optimize infrastructure deployment and management
Contribute to the overall impact of Voxel's AI-powered workplace safety solutions by delivering robust and efficient ML infrastructure.
Qualifications, Must-Haves
Bachelor's degree in Computer Science, Robotics or a related field
Software development experience with proficiency in Python
Ability to solving complex and open-ended problems
Nice-to-Haves
PhD/Master’s degree in Computer Science, Robotics or a related field
2 years of experience in software development, with a focus on infrastructure design
Experience designing large, highly available distributed systems with Kubernetes
Background in Computer vision or Machine Learning
Experience shipping production software for MLOps / DevOps or other internal tools
Why Join Us?
Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.
Benefits
Extensive / Generous health, dental, and vision insurance.
Highly competitive paid parental leave and support system.
Ownership in the business through an Equity Incentive Plan.
Generous paid time off and / or flexible work arrangements.
Daily meals in-office, vibrant company events, team-building.