Senior Machine Learning Engineer | AI/ML Maestro jobs in United States
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Infinity Labs® · 5 months ago

Senior Machine Learning Engineer | AI/ML Maestro

Infinity Labs is a company focused on transformational technology solutions aligned with the National Defense Strategy. They are seeking a Senior AI/ML Engineer specializing in reinforcement learning and defense-related modeling and simulation to design and integrate machine learning models into decision-making systems for real-world applications.

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badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Design, develop, and integrate machine learning models into defense simulations and real-world decision-making systems
Apply a broad range of AI/ML techniques, including supervised learning, unsupervised learning, and deep learning to optimize system performance
Work with large-scale datasets, developing data pipelines and feature engineering processes to support training and inference
Collaborate with DoD civilians, contractors, and stakeholders to align ML solutions with mission objectives
Develop high-performance, scalable AI architectures for deployment on cloud and HPC environments
Optimize machine learning workflows, ensuring computational efficiency and maintainability in resource-constrained settings
Build visualization tools, dashboards, and scripts to analyze model performance and interpret AI-driven insights
Stay ahead of the latest advancements in AI/ML, incorporating cutting-edge research into practical applications
Engage with the DoD modeling and simulation (M&S) community, presenting findings and collaborating on technical solutions
Develop and optimize deep learning architectures, such as transformers, CNNs, and graph-based neural networks, for mission-driven applications
Lead the development of custom ML libraries and toolkits to enhance AI capabilities across multiple projects
Oversee the design of relational and graph-based database schemas to support large-scale AI-driven analytics

Qualification

Reinforcement LearningMachine Learning FrameworksCloud ComputingPython ProgrammingDeep Learning ArchitecturesData PipelinesModelingSimulation ToolsVersion ControlHigh-level LanguagesComponent-based ArchitecturesAI/ML Research Contributions

Required

10+ years of experience in AI/ML
B.S. in Physics, Engineering, or Computer Science (STEM). Advanced degree preferred
Expertise in machine learning frameworks such as PyTorch, TensorFlow, and JAX
Proficiency with reinforcement learning algorithms (PPO, SAC, DQN)
Hands-on experience integrating AI with modeling and simulation tools (AFSIM, MDASim)
Strong programming skills in Python and experience with ML libraries like RLlib and Gymnasium
Cloud computing experience with AWS or DoD HPC environments
Version control proficiency (Git, GitLab, GitHub)
US Citizenship is REQUIRED
Must have -- Secret level clearance

Preferred

Experience modifying and extending AFSIM framework capabilities
Familiarity with high-level languages such as MATLAB, Simulink, or Julia
Deep understanding of component-based architectures in AI/ML applications
Demonstrated ability to optimize RL training pipelines for computational efficiency
Contributions to published AI/ML research in a defense or security context
Nice to have -- Top Secret level clearance and current SCI access

Benefits

Comprehensive health benefits including medical, dental, and vision coverage.
Company-paid disability and life insurance.
Generous 401(k) plan with guaranteed company contribution.
Paid time-off options including floating holidays, personal time, parental leave, and community service opportunities.
Investment in employee growth and development through tuition reimbursement and discounted tuition programs with select colleges.
Perks include a convenient in-town work location with Pikes Peak views, free parking next to the building, and complimentary snacks and beverages!

Company

Infinity Labs®

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Infinity Labs® is a non-traditional defense company driving the future of national security and advanced technologies.

Funding

Current Stage
Growth Stage

Leadership Team

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Joseph Kirby
Co-Founder and Chief Operating Officer
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Nicholas Kuprowicz, Ph.D.
Co-Founder and Chief Innovation Officer
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Company data provided by crunchbase