Senior Machine Learning Engineer
Location: Hybird, Boulder, CO

Job Description:

Location: Hybrid
Clearance: U.S. Citizenship Required, Secret Clearance Desired
Salary Range: $116,480 - $208,505
Travel: 0% - 25%


Your Mission:

Step into a role where your expertise in machine learning transforms industries and empowers intelligent systems. We’re seeking a Senior Machine Learning Engineer who thrives on complex challenges, has a passion for AI, and is ready to lead groundbreaking projects that redefine user experiences across robotics, virtual reality, and autonomous systems.

As part of our team, you’ll craft AI-powered solutions that learn, visualize, and respond—pioneering advancements that elevate system intelligence. If you're fueled by innovation, excited to lead technical teams, and eager to be part of a fast-evolving product landscape, this role is your next big move.


What You’ll Be Doing:

???? Develop predictive and prescriptive insights using techniques like decision trees, Bayesian analysis, and more
???? Design and implement algorithms for next-gen product performance and autonomy solutions
???? Translate technical specifications into production-ready code
???? Lead code reviews and ensure adherence to DevSecOps & MLOps best practices
???? Apply deep learning technologies to cutting-edge fields like AI, robotics, VR/AR
???? Collaborate with external vendors and partners to integrate advanced technologies
???? Present insights and technical findings to stakeholders


What You Bring:

Required Skills:
? Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or related fields
? 5+ years (Bachelor’s) or 3+ years (Master’s) of machine learning engineering experience
? Advanced understanding of ML principles, techniques, and applications
? Expertise in programming, statistical modeling, and data-driven problem-solving
? Strong communication and collaboration skills
? Ability to lead technical teams through complex, shifting projects

Preferred Skills:
? DoD Secret Clearance (desired)
? Experience with DevSecOps, MLOps, and scalable AI pipelines
? Background in autonomous systems, robotics, and immersive technology development
? Proven success in fast-paced, dynamic product environments


Why Join Us?

???? Growth-Focused Environment: Solve complex problems with a team that values curiosity and innovation
???? Inclusive Culture: We celebrate diverse backgrounds and welcome fresh ideas
???? Competitive Benefits: Comprehensive health, PTO, retirement, and career development opportunities
???? Cutting-Edge Tech: Build the next wave of AI and machine learning innovations
???? Flexible Workstyle: Hybrid work environment to balance focus and collaboration


Key Skills:

  • Senior Machine Learning Engineer