Anduril Industries - Senior Machine Learning (ML) Engineer
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Requirements
• 3+ years of experience with a strong mix of ML engineering and data science—you've built models AND deployed them into production systems • Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn) • Experience with MLOps practices: data pipelines, feature engineering, model versioning, experiment tracking, and deployment workflows • Familiarity with ML infrastructure tooling (MLflow, Dagster/Airflow, or similar orchestration tools) • Understanding of tracking, estimation, or filtering algorithms (Kalman filters, data association techniques)—you need to understand what tracking algorithms output and why they make the decisions they do • Ability to work with streaming time-series data and engineer features from algorithm telemetry • Experience building data catalogs, managing ground truth labels, and validating model performance • Strong software engineering fundamentals—you can build maintainable, production-quality code independently • Comfortable working in C++ environments enough to add instrumentation/logging (no deep algorithm development required) • Ability to obtain and maintain a U.S. Top Secret SCI security clearance • Experience deploying ML models in edge, embedded, or air-gapped environments with security constraints • Background in defense, aerospace, or sensor systems • Familiarity with containerization (Docker, Kubernetes) for model serving and deployment • Experience with anomaly detection, root cause analysis, or automated diagnostics systems • Knowledge of AutoML, hyperparameter tuning, or online learning techniques • Understanding of radar systems, sensor fusion, or signal processing • Experience building conversational or query interfaces for technical systems • Familiarity with model registries and model-as-data artifact management • Experience with distributed data processing (Spark, Dask) for large-scale telemetry analysis • Formal coursework or training in MLOps, data science, or estimation theory • Active U.S. Top Secret SCI clearance • We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.
Responsibilities
• Own tracking intelligence infrastructure end-to-end: Build the platform for ingesting tracking algorithm telemetry (hypotheses, scores, gains, association decisions), feature engineering performance metrics, training analysis models, and deploying them into production • Own tracking intelligence infrastructure end-to-end • Automate tracking analysis: Develop ML models that identify correlation failures, track quality degradation, and root causes for tracking anomalies—replacing manual deep-dive investigations with scalable automated insights • Automate tracking analysis • Build autotuning capabilities: Create systems that recognize incoming data characteristics and automatically adjust tracking algorithm parameters, frame rates, and model configurations for optimal performance • Build autotuning capabilities • Design human-in-the-loop tools: Build interfaces and query services that let engineers ask natural questions about tracking behavior and get data-driven answers backed by your models • Design human-in-the-loop tools • Exploit tracking telemetry: Instrument C++ tracking algorithms with appropriate logging (working with platform engineers), then marshal that data into consistent formats for analysis and model training • Exploit tracking telemetry • Deploy in constrained environments: Package and deploy models for air-gapped systems with no external connectivity, following security scanning requirements where ML models are treated as data artifacts • Deploy in constrained environments • Manage the ML lifecycle: Handle data catalogs, ground truth labeling, model registries, versioning, and validation—ensuring models improve tracking performance in measurable ways • Manage the ML lifecycle • Bridge domains: Translate between tracking algorithm fundamentals (Kalman filters, data association, multi-hypothesis tracking) and ML/data science techniques to build solutions that actually work • Bridge domains • Drive make/build decisions: Evaluate when to build custom models vs. leverage existing ML capabilities, selecting appropriate algorithm architectures for tracking intelligence problems • Drive make/build decisions • Work hands-on-keyboard: This is a one-person show initially—you'll architect, code, deploy, and iterate rapidly using modern Python-based ML tooling • Work hands-on-keyboard
Benefits
• $165,000 - $218,000 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: • US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. • US Roles: • UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. • UK & AUS Roles: • IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. • IE Roles: • Income Protection: Anduril covers life and disability insurance for all employees. • Income Protection • 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. • Generous time off • 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. • Family Planning & Parenting Support: • 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. • Mental Health Resources: • Professional Development: Annual reimbursement for professional development • Professional Development: • Commuter Benefits: Company-funded commuter benefits based on your region. • Relocation Assistance: Available depending on role eligibility. • Relocation Assistance: • Retirement Savings Plan • US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. • US Roles: • UK & IE Roles: Pension plan with employer match. • UK & IE Roles: • AUS Roles: Superannuation plan. • AUS Roles: • 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. • Protecting Yourself from Recruitment Scams • Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. • To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. • No Financial Requests: • Please always verify communications: • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to [email protected]. • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. • Exercise Caution with Unsolicited Outreach: • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to [email protected]. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. • What to Do If You Suspect Fraud: • Data Privacy • Data Privacy • To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. • By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
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