Space ML Engineer II-III — Onsite, Denver/Long Beach

True Anomaly, Inc.; Denver (CO); Ibrido; USD 120.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity

Health benefits

Dental

Vision

HRA/HSA

PTO

Descrizione del lavoro

True Anomaly, Inc. in Denver or Long Beach is seeking a Machine Learning Engineer II-III to design and deploy ML/AI capabilities for space domain awareness and autonomous systems.

You will collaborate with senior engineers on model development, data pipelines, and evaluation, writing Python code and advancing mission-critical software. A degree with 2–4 years experience or a Master's qualifies you, with strong Python and ML framework skills and a passion for space.

Competenze

• Degree in CS/ML/DS/EE or related field; 2–4 years experience, or Master's in one of these fields with no experience required.
• Proficient in Python
• Foundational ML concepts: supervised/unsupervised learning and evaluation
• Exposure to PyTorch, TensorFlow, or JAX
• Strong math: linear algebra, statistics, probability
• Eager to learn and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and space security

Mansioni

• Assist in the development, training, and evaluation of ML models across 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 Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one

Conoscenze

Python

Machine learning

PyTorch

TensorFlow

JAX

Math fundamentals

Data-driven decisions

Space domain interest

Formazione

Bachelor's degree in CS/ML/DS/EE or related

Master's degree in one of these fields with no experience

Strumenti

PyTorch

TensorFlow

JAX

Descrizione del lavoro

Machine Learning Engineer (II-III), Space Agentic AI

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

• 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 .

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Are you legally authorized to work in the United States? * Select...

The person hired will have access to information and items controlled by the International Traffic in Arms Regulation (ITAR). To conform to U.S. Government space technology export regulations, including the ITAR, you must be a U.S. citizen, lawful permanent resident of the U.S. (i.e., current Green Card holder), lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State.Are you currently a U.S. Person as described above, or otherwise eligible to obtain the required authorization? * Select...

If other, please provide details as it relates to ITAR eligibility. Answer N/A if not applicable. *

Do you need, or will you need in the future, any immigration related support or sponsorship from True Anomaly in order to begin or continue employment with True Anomaly? This includes support (such as J-1, F-1, CPT letter or STEM OPT Training Plan), visa sponsorship for employment (H-1B, H-1B1, E-1, O-1, or TN), and any EAD holders that will need longer term employment authorization (temporary work visa or permanent residency). * Select...

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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in True Anomaly’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

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An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.