Senior Machine Learning/MLOps Engineer
Anduril
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
Anduril is a defence technology company, bringing Silicon Valley talent and funding to the defence sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis to create software and hardware solutions that radically evolve the defence capabilities of the United States, and are now seeking to replicate our successes internationally with a team based in Australia. If you are passionate about solving problems that have real impact, we want you to join Anduril and help us build the future of defence capability.
At Anduril Australia we are developing un-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life-cycle.
WHAT YOU'LL DO
- Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities
- Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
- Manage model selection, training, validation, evaluation, deployment and regression testing
- Manage training data sourcing and integration, and quality
- Develop tools and processes for machine learning in a classified environment
- Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
- Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
- Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring
- Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies
- Experience with the delivery of computer vision capabilities, from the data side as well as the model side
- Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
- Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
- Ability to obtain and maintain an Australian Government Security Clearance
PREFERRED QUALIFICATIONS
- Experience with the delivery of capability with a public sector customer
- Experience with workflow management tools such as flyte, airflow, and kubeflow
- Experience with deep learning frameworks such as PyTorch
- Experience with edge ML applications
- Experience with inference engines such as TensorRT
- Experience writing C++, Go, Python or Rust
- Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results
- Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery
Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!
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 top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents.
- 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!
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.