About this opportunity
True Anomaly, Inc. lists this Machine Learning Engineer (Space Edge Deployment) opportunity in denver, Colorado. Review the employer’s description below for duties, qualifications and application requirements.
Job description
As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly
Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making
Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
Support data ingestion, preprocessing, and feature engineering pipelines
Run experiments, track results, and contribute to model evaluation and iteration
Write clean, documented, and testable Python code as part of a collaborative engineering team
Learn and grow alongside senior engineers, contributing meaningfully from day one
Benefits
100% Employer-Sponsored Healthcare: We’ve got you covered! Our comprehensive healthcare package is fully sponsored, ensuring you and your loved ones stay healthy and worry-free, so you can focus on shaping the future of space security.
Generous Time Off: We believe in working hard and recharging fully. Our generous vacation policy gives you the flexibility to take the time you need to relax, explore, and come back energized to take on new challenges.
Equity: Own an equity stake in True Anomaly as you build something transformative. With equity options, you’re not just working for True Anomaly; you’re an owner. As an essential part of our growth and future success, we want you to share in the upside potential!
401k and Roth 401k options: Plan for tomorrow with our 401K and Roth 401K options that put you in control of your financial future.
Learning & Development Opportunities: Your growth fuels our innovation. We’re committed to providing you with the resources and training to expand your skills, spark new ideas, and advance your career with us.
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Worksite address
denver, CO, 80285, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.