Machine Learning Engineer Associate Jobs in Stilwell, KS

Job Summary:
Garmin is a leading technology company seeking a full-time Senior Software Engineer at their U.S. headquarters in the Greater Kansas City area. In this role, you will build platforms and tooling for scalable machine learning and LLM capabilities, collaborating with various teams to develop self-service ML Ops solutions.
Responsibilities:
• Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and automation capabilities that improve the efficiency and scalability of machine learning model delivery
• Implements and supports standardized CI/CD pipelines, model registries, deployment automation, and operational tooling for production AI/ML systems
• Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce operational friction and improve the developer experience associated with model development and deployment workflows
• Designs and implements monitoring, health check, observability, and alerting capabilities for production machine learning and LLM deployments
• Researches and implements scalable infrastructure solutions for LLM deployment including autoscaling, dynamic routing, and cloud-based serving architectures
• Serves in a leadership capacity as an individual contributor for carrying out software development in Python, Java, or other selected languages for new products and/or applications
• May serve as a Lead Software Engineer for complex software development project designs and/or reviews architected modules and software systems supporting new technology or improving capability/performance of existing functionality
• Decomposes functional requirements into well-defined tasks
• Researches fundamental problems and implements algorithm solutions that are appropriate
• Offers peer technical assessments in areas of expertise, new technologies and software designs
• Participates in project leadership and/or program planning including providing technical input to product development plans and concept documents
• Makes substantial contributions toward determination of project goal/objective feasibility and applies good judgment in setting schedules/risk taking
• Mentors and provides guidance to less experienced Software Engineers (1 & 2)
• Contributes to advanced technical research on new technologies
• Offers process improvement suggestions and authors new procedures as appropriate
• Provides reliable solutions to a wide range of difficult problems using sound problem solving techniques
• Supports working hours as part of a rotating schedule to provide on call support of Garmin’s 24/7 operations
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math, Physics or related field AND a minimum of 5 years relevant experience
• Demonstrated proficiency with designing well architectured software systems and modules that support new technology or improve capability/performance of existing functionality
• Demonstrated competence with researching fundamental problems and implementing appropriate algorithmic solutions
• Demonstrated ability to serve as a lead software engineer for a complex software project
• Ability to decompose functional requirements into well-defined tasks while balancing quality, quantity, and complexity in work output
• Demonstrated capability to offer peer technical assessments in areas of expertise, new technologies and software designs
• Mastered proficiency in writing software in C, C++, C# or Java and relevant experience and/or training in data structures or object-oriented design methodology
• Demonstrated strong and effective verbal, written, and interpersonal communication skills
• Must be positive, detail oriented, organized, team oriented and a driven problem solver, multi-tasker, and self-starter with the ability to prioritize and lead in a fast paced, deadline-driven environment
Preferred:
• Experience developing and supporting containerized and distributed systems using technologies such as Docker, Kubernetes, Helm, and cloud-native deployment platforms
• Familiarity with GPU-enabled infrastructure, accelerated compute environments, and scalable inference architectures supporting machine learning and large language model (LLM) workloads
• Experience working with cloud compute and storage platforms such as Microsoft, including deployment automation, networking, and infrastructure management
• Knowledge of ML Ops and DevOps tooling including CI/CD pipelines, infrastructure-as-code, model deployment workflows, observability platforms, and operational monitoring solutions
• Familiarity with modern machine learning frameworks, model serving technologies, and artifact management solutions such as PyTorch, Hugging Face, MLflow, or similar technologies
• Experience developing automation and self-service tooling using Python, REST APIs, scripting frameworks, and cloud based orchestration technologies
Company:
WHERE DO WE START? How about Kansas City? That’s our home. That’s where Garmin put a stake in the ground in 1989. Founded in 1988, the company is headquartered in Nanterre, FRA, with a team of 10001+ employees. The company is currently Late Stage.