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Associate Full Stack Machine Learning Engineer Jobs in Colorado

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$107.50K - $147.70K/yr

They are seeking a Senior Machine Learning Engineer to design, build, and deploy core machine ... the full ML development lifecycle -- from data ingestion and feature engineering through model ...

AppFolio

Sr. Machine Learning Engineer

CO · Remote

$107.60K - $147.70K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

CO

$264K - $330K/yr

Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead ... Strong understanding of the full ML lifecycle: data extraction, model training, evaluation, and ...

Signifyd

Senior Machine Learning Engineer I // II

Denver, CO · On-site +1

$107.60K - $147.70K/yr

The Senior Machine Learning Engineer will join our ML team. This team is responsible for building ... Stack: Proficiency in Python , SQL, key ML libraries, and Spark * Mindset: A strong outcome ...

AIR Communities

Full Stack Engineer

Denver, CO · On-site

We are hiring a Full Stack Engineer to join our centralized team in the Denver Tech Center, CO ... A growth-oriented mindset with enthusiasm for learning and adapting. Additional Information AIR ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO

$155K - $260K/yr

... machine learning and AI capabilities for True Anomaly. You will work with a talented cross ... Own the full ML development lifecycle - from data ingestion and feature engineering through model ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

... machine learning and AI capabilities for True Anomaly. You will work with a talented cross ... Own the full ML development lifecycle - from data ingestion and feature engineering through model ...

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Senior Machine Learning Engineer

True Anomaly

Denver, CO • On-site

$107.50K - $147.70K/yr

Full-time

Posted 16 days ago

Job description

Job Summary:
True Anomaly is a company focused on delivering capabilities for space superiority through advanced technology. They are seeking a Senior Machine Learning Engineer to design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in the field of artificial intelligence and data-driven decision-making.
Responsibilities:
• Design, implement, and test ML/AI models that support threat assessment, object discrimination, and decision-making in operationally relevant environments
• Own the full ML development lifecycle — from data ingestion and feature engineering through model training, evaluation, and production deployment
• Collaborate with cross-functional teams to translate operational requirements into robust, production-ready ML capabilities
• Establish and maintain rigorous model evaluation practices to ensure reliability and performance in real-world conditions
• Write clean, well-documented, and testable code in support of AI/ML capabilities
Qualifications:
Required:
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Solid understanding of statistics, probability, and optimization
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
• 4+ years of experience designing, training, and deploying ML models in real-world systems
• Demonstrated ability to work in a multidisciplinary team and solve complex problems from first principles
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• 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.
• 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.
Preferred:
• Master's or PhD in machine learning, computer science, data science, or a related discipline
• Strong background in one of the following core ML disciplines: Anomaly & outlier detection: statistical, density-based, and deep learning approaches
• Strong background in one of the following core ML disciplines: Object discrimination: multi-class and fine-grained classification, metric learning, few-shot learning, evidential reasoning and Dempster-Shafer Theory (DST) for belief combination and conflict resolution under uncertain or incomplete sensor data
• Strong background in one of the following core ML disciplines: Unsupervised learning: clustering, dimensionality reduction, generative modeling
• Strong background in one of the following core ML disciplines: Sequential and temporal modeling: time-series analysis and sequential modeling
• Experience deploying models to edge or resource-constrained environments with real-time processing requirements
• Familiarity with space domain data such as space object catalog data, observational data, or RSO characterization
• Experience with MLOps tooling: experiment tracking (MLflow, W&B), model versioning, CI/CD for ML pipelines
• Background in model interpretability, uncertainty quantification, or safety-critical ML validation
Company:
True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital operations. Founded in 2022, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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