ML Optimization Engineer

Advanced Energy Systems - Colorado School of Mines & NLR

ML and optimization engineer developing AI, optimization, and high-performance computing systems. Supporting the National Laboratory of the Rockies’ energy innovation research and technology transition.

Posted 8/5/2026full-timeGolden • Colorado • 🇺🇸 United StatesJuniorMid-Level💰 $83,600 - $180,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, developing, and testing software applications, particularly in AI/ML and high-performance computing. Proficient in translating research findings into production-ready systems while effectively collaborating with diverse teams and contributing to technical publications.

Highest-signal resume keywords

PyTorchTensorFlowPythonSoftware DevelopmentTechnical Publication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI Model DesignOptimization Problem FormulationHigh-Performance ComputingModeling and SimulationVisualizationClean Code PracticesResearch Lab ExperienceProposal WritingMulti-Project Support

Soft Skills

Effective CommunicationAdaptabilityConstructive FeedbackCollaboration

Certifications & Qualifications

Federal Personal Identity Verification (PIV) Card Eligibility

Industry Keywords

Research-to-Implementation StackDefense and Intelligence CommunitiesFederal AgenciesOpen-Source Software

Tech Stack

Tools & technologies

JavaJavaScriptPythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Design, develop, and rigorously test software applications and components
Apply best practices and cutting-edge technologies to support mission-critical research projects
Work across the research-to-implementation stack, including designing and evaluating AI models
Translate research findings into production-ready systems
Formulate and reason about constrained optimization problems
Support computational science research involving high-performance computing, AI/ML, modeling and simulation, and visualization
Collaborate with peers, mentors, team members, DOE program offices, defense and intelligence communities, federal agencies, universities, and industry partners
Perform technical tasks independently and adapt to different project needs
Support multiple projects and assist junior-level researchers and developers
Contribute to technical publications and proposal writing

Requirements

What you’ll need

Professional Level III: relevant Bachelor's Degree and 5+ years of experience, or relevant Master's Degree and 3+ years, or relevant PhD; equivalent relevant education/experience may qualify
Professional Level II: relevant Bachelor's Degree and 2+ years of experience, or relevant Master's Degree; equivalent relevant education/experience may qualify
Must meet educational requirements before employment start date
Demonstrated experience with PyTorch and TensorFlow
Experience writing clean, efficient, maintainable code according to coding standards and guidelines
Experience designing, developing, and testing software applications and components using modern technologies
Knowledge of Python and at least one other major programming language, such as JavaScript/TypeScript, Java, or C/C++
Ability to communicate complex technical documentation of software architecture, design decisions, and technical specifications clearly and precisely
Effective communication skills for code reviews and constructive feedback
Willingness to consider alternative methods and adjust plans as circumstances evolve
Experience in a research lab environment
Technical publication experience
Proposal-writing experience
Ability to context-shift and support multiple projects simultaneously
Experience supporting junior-level researchers and developers
Preferred: first-author publications
Preferred: open-source software releases
Ability to obtain a clearance
Must be able to obtain and maintain a federal Personal Identity Verification (PIV) card, including a favorable background investigation
Must pass a pre-employment drug test
Must be authorized to obtain work authorization and facility access under DOE rules
Must disclose and potentially disengage from certain Foreign Government Talent Recruitment Programs

Benefits

Comp & perks

Medical, dental, and vision insurance
Pension benefits (based on eligibility rules)
403(b) Employee Savings Plan with employer match (based on eligibility rules)
Sick leave where required by law
Potential eligibility for performance-, merit-, and achievement-based awards with a monetary component
Potential relocation expense reimbursement for some positions
Robust professional development opportunities
Competitive benefits package
State-of-the-art facilities and multidisciplinary research teams