Machine Learning Engineer, Quality Analytics
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Requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field. • 3+ years of experience in an ML Engineer, Data Scientist, or similar role with a proven track record of deploying models into a production environment. • Demonstrated experience working within a manufacturing, industrial, robotics or other physical environment is essential. • Strong proficiency in Python and core data science libraries (Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn). • Solid understanding of both classical machine learning algorithms (e.g., Gradient Boosting, Random Forest, SVMs) and fundamental statistical principles. • Hands-on experience with SQL for data extraction and manipulation. • Experience with the complete ML lifecycle, from data exploration and feature engineering to deployment and monitoring. • Eligible to obtain and maintain an active U.S. Secret security clearance. • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), particularly for computer vision applications. • Experience with big data platforms like Palantir Foundry or Databricks. • Knowledge of MLOps tools and principles (e.g., MLflow, Kubeflow, model registries). • Familiarity with manufacturing data systems (e.g., MES, SFC, ERP). • Familiarity with quality methodologies and concepts like RCCA or 8D, GD&T, FMEA, IQC/OQC, and how data supports them. • Strong software engineering fundamentals, including experience with Git. • Experience building or supporting ML cababilities for complex hardware manufacturing operations, including new product introduction (NPI), ramp-up, and high-volume production phases.
Responsibilities
• Design, build, deploy, and maintain machine learning models to address key manufacturing problems, including classification (e.g., defect type), regression (e.g., yield prediction), and clustering (e.g., process regime identification). • Perform in-depth exploratory data analysis (EDA) and statistical analysis on complex manufacturing datasets (sensor data, MES records, quality logs) to uncover insights and validate hypotheses using Python, Pandas, Scikit-learn, and Jupyter notebooks. • Develop and implement computer vision models for automated visual inspection and defect identification where applicable. • Partner with the Data Engineers to operationalize models within Palantir Foundry, creating scalable and automated training and inference pipelines. • Implement MLOps best practices for version control, model monitoring, performance tracking, and automated retraining to ensure long-term model health and reliability. • Collaborate closely with Manufacturing Engineers and Data Analysts to understand process nuances, define model requirements, and interpret results for non-technical stakeholders. • Translate complex manufacturing problems, such as sources of variance or defect trends, into solvable machine learning problems.
Benefits
• $166,000 - $220,000 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: Our recruiters will only email you 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 contact@anduril.com. • 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 contact@anduril.com. 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/.