Machine Learning Engineer (0-2 yrs) at Advanced Space · Westminst…

Summary: Advanced Space is a company focused on leading humanity back to the Moon and pioneering innovative solutions in the space industry. They are seeking a Machine Learning Engineer with 0-2 years of experience to design, build, and test machine learning models and systems for various aerospace applications. 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 Qualifications: - 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 - 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 Qualifications: - 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 Required Skills: Machine Learning, Neural Networks, Python, Data Preprocessing, Feature Engineering, Coding, Debugging, Algorithmic Principles, Version Control, Honesty, Transparency Benefits: Signing bonus, Quarterly Performance bonuses, Company provided health insurance and 401K plan upon eligibility, Flexible time off policy, Relocation Assistance