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:

• The role involves developing and maintaining the platform that is driving ML development at Mobileye.
• Work may include developing the distributed compute platforms, both on-prem and in the cloud that are used for training.
• It may also include tasks such as implementing services that track the ML lifecycle, and optimizing ML workloads.
• This is a role suited to an individual looking to be challenged by scale, and wants to move fast.
• We work closely with algorithmic dev teams, supporting and developing real issues.
  
  

• Experience in coding using Python or Go
• 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)
• Experience with containers and previously worked in a Kubernetes environment
• Experience with Agile & DevOps methodologies
  
  

• Familiarity 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 in developing and optimizing ML workflows