Software Engineer - ML Infrastructure
Bay Area, CA
Voxel
Voxel connects to your existing security cameras to automate risk management and reporting. Build a data-driven safety culture with Voxel site visibility.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
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.401K retirement plan, HSA options, pre-tax Commuter Card.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CI/CD Computer Science Computer Vision Data management DevOps Distributed Systems Kubernetes Machine Learning ML infrastructure MLOps PhD Pipelines Python Research Robotics
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Parental leave Team events
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