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Machine Learning Engineer (0-2 yrs)

Job

Advanced Space

Westminster, CO (In Person)

$90,714 Salary, Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/3/2026

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Job Description

Machine Learning Engineer (0-2 yrs) Advanced Space Westminster, CO Job Details $80,000 - $101,428 a year 6 hours ago Benefits Relocation assistance Health insurance 401(k) Qualifications Data preprocessing Software coding Feature extraction Stakeholder relationship building Full Job Description Machine Learning Engineer (0-2 yrs) About Us The team at Advanced Space is leading humanity back to the Moon and pioneering innovative solutions in the space industry. Based in Westminster Colorado, this incredible team is looking for a Machine Learning Engineer with 0-2 years of experience, who's eager to push the state of the art in the aerospace industry. ML Engineers at Advanced Space work closely with engineers in other disciplines (i.e., navigation, mission design, systems). This position is responsible for designing, building, and testing machine learning models and systems that can solve real-world problems in domains such as spacecraft autonomy, anomaly detection and classification, natural language processing, uncertainty quantification, and multi-modal signal detection & characterization. This position will be headquartered at our Westminster, Colorado offices and is primarily an on-premise position. Advanced Space exists to support the sustainable exploration, development, and settlement of space and operates with four core values: We are customer obsessed and mission focused; when we see it, we solve it; we are one team, motivated by our vision; and we bring technical excellence and inexhaustible curiosity. This position is open to U.S. persons only (U.S. citizens, asylum seeker, or lawful permanent resident), as required by applicable laws and regulations. We do not provide visa sponsorship or support work authorization for this role. Candidates must be authorized to work in the U.S. without the need for current or future sponsorship. Responsibilities Uses AI coding assistants for code completion and debugging help Can write basic prompts to get useful responses Solid grasp of probability theory and basic statistics Understands gradient descent and basic optimization concepts Solid grasp of probability theory and basic statistics Understands gradient descent and basic optimization concepts Uses version control consistently for all code Documents experiment parameters and results systematically May or may not have any aerospace experience Other engineering/science: May or may not have any other engineering or science experience Limited familiarity with industry tools and best practices Follows company coding standards and processes Able to use web resources to find what they need Required Skills & Qualifications B.S. in Computer Science, Machine Learning, Software Engineering, Aerospace Engineering, or another physical science or engineering discipline or equivalent work experience required. Master's or PhD preferred. 0-2 years of relevant experience Familiarity with the basics of neural networks and other relevant machine learning techniques Knowledge of basic coding, debugging, and algorithmic principles Proficiency in Python Understanding of basic data preprocessing and feature engineering concepts Delivers reliable and maintainable code for defined tasks Breaks down moderately complex problems into manageable components and systematically addresses each element Owns assigned tasks from start to completion, ensuring quality and accuracy of deliverables Consistently acts with honesty and transparency in technical work, communications, and interpersonal interactions Builds productive relationships with team members and internal stakeholders to support effective collaboration
Preferred Skills:
Proficient in an engineering field (aerospace or another) Familiarity with Pytorch, JAX or TensorFlow Confident in deploying a model to a server or edge device Security clearance is not required but is preferred
Compensation and Benefits:
Base Salary Range - $80,000 - $101,428 based on role, employee experience, and location Signing bonus Quarterly Performance bonuses Company provided health insurance and 401K plan upon eligibility Flexible time off policy Relocation Assistance Eligibility Requirements This is an
IMMEDIATE
hiring need. Ability to work in the Westminster, CO office 5 days/week during core business hours. Applicants must be a US person Advanced Space exists to enable the sustainable exploration, development, and settlement of space through software and services that leverage unique subject matter expertise. The company is actively supporting mission and cutting-edge capabilities spanning commercial, civil, and national security customers. Our core business is focused on three areas: (1) mission enabling services, (2) technology solutions and (3) mission solutions. Through its mission enabling services, Advanced Space provides mission and flight optimization, mission design, mission systems engineering. With its technology solutions Advanced Space provides its customers with trusted AI/ML/autonomy expertise, flight-demonstrated applications, and analysis at scale. Advanced Space offers Mission Solutions with unique turn-key missions, data and capabilities purchases and demonstrated cislunar and Martian success. Advanced Space is mission focused as the owner and operator of
CAPSTONE
™ for NASA and Prime contractor for Oracle for AFRL. These competencies are leveraged by a dynamic, flexible, and agile team with cross domain knowledge. We have a small but growing team that works collaboratively across projects. We provide flexibility, and an opportunity for passionate employees to contribute directly to meaningful projects. Trusted to take on the challenge, the team at Advanced Space is Delivering Innovation to Orbit™ to the Moon, Mars, and beyond. Advanced Space, LLC is an equal opportunity employer. Advanced Space, LLC recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

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