Machine Learning Engineer (0-2 yrs)

Advanced Space•Westminster, CO

1d•Onsite

About The Position

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.

Requirements

B.S. in Computer Science, Machine Learning, Software Engineering, Aerospace Engineering, or another physical science or engineering discipline or equivalent work experience required.
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
Applicants must be a US person
Ability to work in the Westminster, CO office 5 days/week during core business hours.

Nice To Haves

Master's or PhD preferred.
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

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
Uses version control consistently for all code
Documents experiment parameters and results systematically
May or may not have any aerospace experience
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
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