Machine Learning Engineer
True Anomaly•Los Angeles, CA
•$85,000 - $180,000•Onsite
About The Position
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. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems.
Requirements
- Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
- Proficient in Python
- Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
- Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
- Strong mathematical fundamentals in linear algebra, statistics, and probability
- Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
- Passion for spaceflight and advancing capabilities related to space domain awareness and space security
Nice To Haves
- Internship, research, or project experience applying ML to real-world or research datasets
- Familiarity with classification, regression, clustering, or anomaly detection techniques
- Experience with version control (Git) and basic software engineering practices
- Exposure to MLOps concepts such as experiment tracking or model versioning
- Coursework or project work in deep learning, computer vision, or time-series analysis
Responsibilities
- 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
- Health
- Dental
- Vision
- HRA/HSA options
- PTO
- paid holidays
- 401K
- Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
