Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION 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. 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 QUALIFICATIONS Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required. Proficiency 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 PREFERRED SKILLS AND EXPERIENCE 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 COMPENSATION Base Salary: $125,000 - $220,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice .

Requirements

Must-haves

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
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
Proficiency 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
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
Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
Physical demands —the physical demands of the job, including bending, sitting, lifting and driving.
To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaimlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Pto

Parental Leave