Anduril Industries
Software Engineer, ML & ML Ops
Anduril Industries, Washington, District of Columbia, us, 20022
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Software Engineer, ML & ML Ops
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Anduril Industries 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. About The Team The Connected Warfare Software Engineering team builds, deploys, integrates, extends, and scales Anduril's software to deliver mission-critical capabilities to our customers. As a Software Engineer (ML & MLOps) on the Menace Platform Software Engineering team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. What You’ll Do Own the software solutions that are deployed to customers Write code to improve products and scale the mission capability to more customers Collaborate across multiple teams to plan, build, and test complex functionality Create and analyze metrics that are leveraged for debugging and monitoring Triage issues, root cause failures, and coordinate next-steps Partner with end-users to turn needs into features while balancing user experience with engineering constraints Travel up to 30% of time to build, test, and deploy capabilities in the real world Required Qualifications Own software spanning Menace Platform: command & control, planning, autonomy, optimization, mesh platform. Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics At least 4-10+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases A desire to work on critical software that has a real-world impact 1-2 years of experience with applied ML or MLOps, including experience in some or all the following areas: Developing and deploying machine learning models for production applications Utilizing machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Building and maintaining data pipelines for training and inference such as Kubeflow, MLflow, MetaFlow Implementing ML algorithms to solve domain-specific problems US Salary Range: $166,000—$253,000 USD 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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Software Engineer, ML & ML Ops
role at
Anduril Industries 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. About The Team The Connected Warfare Software Engineering team builds, deploys, integrates, extends, and scales Anduril's software to deliver mission-critical capabilities to our customers. As a Software Engineer (ML & MLOps) on the Menace Platform Software Engineering team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. What You’ll Do Own the software solutions that are deployed to customers Write code to improve products and scale the mission capability to more customers Collaborate across multiple teams to plan, build, and test complex functionality Create and analyze metrics that are leveraged for debugging and monitoring Triage issues, root cause failures, and coordinate next-steps Partner with end-users to turn needs into features while balancing user experience with engineering constraints Travel up to 30% of time to build, test, and deploy capabilities in the real world Required Qualifications Own software spanning Menace Platform: command & control, planning, autonomy, optimization, mesh platform. Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics At least 4-10+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc. Experience building software solutions involving significant amounts of data processing and analysis Ability to quickly understand and navigate complex systems and established code bases A desire to work on critical software that has a real-world impact 1-2 years of experience with applied ML or MLOps, including experience in some or all the following areas: Developing and deploying machine learning models for production applications Utilizing machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn Building and maintaining data pipelines for training and inference such as Kubeflow, MLflow, MetaFlow Implementing ML algorithms to solve domain-specific problems US Salary Range: $166,000—$253,000 USD 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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