Senior Machine Learning Engineer, Image Processing

Anduril IndustriesMountain View, CA
1d$240,000 - $318,000Onsite

About The Position

We are seeking a Machine Learning/Computer Vision engineer who will develop ML solutions from concept in order to push the boundaries of what's possible with various sensors/cameras on our AR/VR/MR products. Working closely with hardware engineers, you will translate sensor capabilities into robust ML models that perform in real-world conditions. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio. This role is based onsite in our Mountain View, CA office.

Requirements

  • BS in Computer Science, Electrical Engineering, or related technical field + 6 years of working experience OR Masters/PhD + 2 years of working experience
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • Proficiency in Python and PyTorch or equivalent deep learning frameworks
  • Strong technical foundation in machine learning principles and algorithms with at least 2 years of experience building real-world ML systems for image processing
  • Strong foundation in computer vision fundamentals, including both classical techniques and modern deep learning approaches
  • Experience with the full ML development lifecycle (data preparation, model training, validation, deployment)
  • An understanding of how to optimize ML models for real-time or resource-constrained environments
  • Excellent problem-solving skills and ability to work independently with minimal supervision
  • Strong technical communication skills to collaborate effectively with cross-functional teams

Nice To Haves

  • MS/PhD in Computer Science, Electrical Engineering, or related technical field
  • Experience with real-time ML systems (e.g. mobile SoCs, model quantization)
  • Solid understanding of sensors, optics, and cameras
  • Background in object detection, image enhancement, or similar computer vision tasks
  • Experience with uncooled LWIR imaging or 3D imaging
  • Track record of deploying ML solutions in production environments

Responsibilities

  • Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain core ML pipelines
  • Train and deploy deep learning models for real-time applications
  • Develop performance metrics for ML algos
  • Collaborate cross-functionally with sensor, camera, and system teams

Benefits

  • Healthcare Benefits
  • US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
  • UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
  • IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
  • Additional Benefits Income Protection : Anduril covers life and disability insurance for all employees.
  • Generous time off : Highly competitive PTO plans with a holiday hiatus in December.
  • Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
  • Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
  • Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
  • Professional Development: Annual reimbursement for professional development
  • Commuter Benefits: Company-funded commuter benefits based on your region.
  • Relocation Assistance: Available depending on role eligibility.
  • Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
  • UK & IE Roles: Pension plan with employer match.
  • AUS Roles: Superannuation plan.
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