Machine Learning Software Engineer

ABOUT THE TEAM

The Imaging team is responsible for tackling the most difficult problems involving computer vision, perception, electro-optical, infrared, and sensor data. The team develops state-of-the-art imaging systems across both hardware and software. Their products are deployed to tackle the most significant security challenges of America and its allies.

ABOUT THE JOB

As a Machine Learning Software Engineer on the Imaging team, you will develop machine learning solutions for advanced sensor technology from concept to production. You'll optimize existing object detection algorithms and pioneer ML-based image enhancement techniques that push the boundaries of what's possible with our sensors. Working closely with hardware engineers, you'll 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.

REQUIRED QUALIFICATIONS

• Strong technical foundation in machine learning principles and algorithms with at least 2 years of experience building real-world ML systems


• Strong foundation in computer vision fundamentals, including both classical techniques and modern deep learning approaches


• Proficiency in Python and PyTorch or equivalent deep learning frameworks


• Experience with the full ML development lifecycle (data preparation, model training, validation, deployment)


• 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


• BS in Computer Science, Electrical Engineering, or related technical field


• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with real-time ML systems (NVIDIA deployment stack, ONNX, TensorRT, model quantization)


• Familiarity with C++ for performance-critical applications


• Knowledge of ML Ops tools and practices (experiment tracking, model versioning, CI/CD for ML)


• Experience building and maintaining large-scale data processing pipelines


• Background in object detection, image enhancement, or similar computer vision tasks


• Experience with infrared imaging or other non-visible spectrum sensors


• Track record of deploying ML solutions in production environments


• MS/PhD in Computer Science, Electrical Engineering, or related technical field

US Salary Range

$168,000 - $252,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you.
  
  
  
  • For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
  
  
  • For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
  
  


• Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.


• Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.


• 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.


• Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.


• Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well.


• A professional development stipend is available to all Andurilians.


• Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens.


• Company-funded commuter benefits available based on your region.


• Relocation assistance (depending on role eligibility).


• 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!

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