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Senior Machine Learning Researcher 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 learning and AI capabilities, working with a cross-functional team to enhance technology in the field of ...

AppFolio

Sr. Machine Learning Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

AppFolio

Sr. Machine Learning Engineer

CO · Remote

$107.60K - $147.70K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

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 ... Proven track record of taking ML projects from research/prototype to high-scale production ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will design, build, and deploy core machine learning and AI capabilities for True Anomaly. You will work with a talented ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site +1

$126.10K - $166.20K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Identify and resolve workflow inefficiencies or gaps between research and production. * Recommend ...

Cleerly

Sr. Machine Learning Software Engineer

Denver, CO · On-site

$126.10K - $166.20K/yr

About the Opportunity We are seeking a senior machine learning software engineer to design, build ... Identify and resolve workflow inefficiencies or gaps between research and production. * Recommend ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Senior Machine Learning Researcher information

See Colorado salary details

$30K

$80.6K

$144.6K

How much do senior machine learning researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for senior machine learning researcher in Colorado is $80,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $103,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for Senior Machine Learning Researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What does a Senior Machine Learning Researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are popular job titles related to Senior Machine Learning Researcher jobs in Colorado? For Senior Machine Learning Researcher jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Researcher jobs in Colorado look for? The top searched job categories for Senior Machine Learning Researcher jobs in Colorado are:
What cities in Colorado are hiring for Senior Machine Learning Researcher jobs? Cities in Colorado with the most Senior Machine Learning Researcher job openings:
Senior Machine Learning Researcher jobs near you

Senior Machine Learning Engineer

True Anomaly

Denver, CO • On-site

$107.50K - $147.70K/yr

Full-time

Posted 13 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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