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Senior ML Infrastructure Engineer
2 months ago
Voxel is a pioneering technology company that is revolutionizing workplace safety and operations with cutting-edge AI and computer vision solutions. Our mission is to protect essential workers and prevent workplace incidents by providing innovative, data-driven insights to safety and operations leaders.
Job SummaryWe are seeking a highly skilled and experienced Senior ML Infrastructure Engineer to join our team. As a key member of our infrastructure team, you will be responsible for designing and implementing systems to support our machine learning development. Your expertise in distributed systems, infrastructure design, and DevOps practices will be instrumental in helping us achieve our mission.
Key Responsibilities- Design and implement cloud infrastructure and distributed systems for MLOps
- Develop an 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
- Provide technical guidance, mentorship, and project management support
- 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
- Handle the complexities of designing and implementing ML infrastructure systems in a dynamic and fast-paced startup environment
- Bachelor's degree in Computer Science or a related field
- Minimum 5+ years of experience in software engineering, with a focus on infrastructure design
- Experience designing large, highly available distributed systems with Kubernetes
- Proven experience in designing complex systems and strong software engineering skills
- Strong understanding and experience with distributed systems like Apache Spark, Ray, etc. and infrastructure design
- Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes
- Demonstrated expertise in DevOps practices, with a focus on ML
- Experience working on ML tools that researchers love
- Knowledge of advanced ML operations techniques, such as model deployment and monitoring
- Experience with pipeline automation and data management in ML workflows
- Previous experience building ML systems and working on ML adjacent teams
- Competitive salary: $200,000 - $250,000 per year
- Extensive health, dental, and vision insurance
- Generous paid parental leave and support system
- Ownership in the business through an Equity Incentive Plan
- Generous paid time off and flexible work arrangements
- Daily meals in-office, vibrant company events, and team-building activities
- 401K retirement plan, HSA options, and pre-tax Commuter Card