Senior Software Engineer, Data Science & Machine Learning

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.

ABOUT THE TEAM

The Tactical Recon and Strike (TRS) division at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from paper sketches to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers.

ABOUT THE JOB

As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Your expertise will drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed. If you're eager to leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality, Anduril provides the perfect platform to propel your career and make a tangible difference in a world entering a new era of strategic competition. Join us and be part of the transformation that's setting new standards for military capabilities and security. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided).

WHAT YOU'LL DO

• Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
• Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development of roadmaps for enhancing vehicle performance based on data-driven insights.
• Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation.
• Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency.
• Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms.

REQUIRED QUALIFICATIONS

PREFERRED QUALIFICATIONS

US Salary Range

$220,000-$292,000 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 :

Healthcare Benefits

Additional Benefits

Retirement Savings Plan

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.

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