MLOps Developer

AI Engineering goal is to deliver a modern infrastructure and solutions to enhance Mobileye's Algorithm development life cycle and shorten our delivery times.We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products.We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.

What will your job look like?

• Develop and maintain the platform driving ML development at Mobileye.
• Work on distributed compute platforms, both on-premises and in the cloud, used for training.
• Implement services that track the ML lifecycle.
• Optimize ML workloads for better efficiency and performance.
• Collaborate closely with algorithm development teams to address and resolve real-world issues.
  
  

• BSc. in Computer Science- must
• At least 2 years Experienced in coding using Go (or Python)
• Write tests as part of the normal development flow
• Review code developed by other developers and provide feedback to ensure best practices (style, checking code in, accuracy, testability, readability, and efficiency)
• Experienced with containers and previously worked in a Kubernetes environment
• Experienced with Agile & DevOps methodologies
  
  

• Familiar with Public cloud, like: AWS or GCP
• Care about developer experience, and think about the end user experience
• Collaborated to open-source projects
• Technologist at heart - We are a team always looking for the next thing
• Familiar with Infra-as-Code tools, like: Terraform, Ansible
• Good understand of Linux internals
• Experience developing and optimizing ML workflows