Machine Learning Engineer
US$125,000 – US$220,000 / yr base salary
Posted 15 May 2026
Advertised as “Machine Learning Engineer (II-III), Space Agentic AI”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II-III
- Expected experience
- 2–4 yrs
- Management level
- Individual contributor
- Employment
- On-Site
| Base salary | US$125,000 – US$220,000 / yr |
|---|
Field of studyComputer Science, Data Science, Electrical Engineering, Machine learning (or related)
Study levelBachelor's or higher
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