Machine Learning Operations Engineer jobs in United States
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Recruiting from Scratch · 3 months ago

Machine Learning Operations Engineer

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. They are representing a defense technology company building next-generation autonomous swarm systems for unmanned ground vehicles, seeking a Machine Learning Operations Engineer to design, build, and maintain the ML infrastructure that powers perception and autonomy across vehicle swarms.

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Growth Opportunities
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Responsibilities

Design and implement end-to-end ML pipelines for training, validation, and deployment of perception models
Build robust data management systems for large-scale sensor data (cameras, LiDAR, IMU) from field operations
Implement model monitoring, A/B testing, and performance tracking systems for deployed models
Develop CI/CD pipelines for model versioning, testing, and deployment to fleets of autonomous UGVs
Create distributed computing solutions for large-scale data processing and model training
Build internal tools for data annotation, evaluation, and performance visualization
Collaborate with perception engineers, robotics teams, and field ops to ensure seamless deployment

Qualification

MLOpsML pipeline orchestrationDockerKubernetesPython programmingLinux system administrationModel serving frameworksCloud platformsData management systemsModel monitoringCI/CD pipelinesDistributed computingData annotation toolsMonitoring systemsOrganizational skillsCommunication skills

Required

2+ years of industry experience in MLOps, DevOps, or ML infrastructure
Bachelor's degree in computer science, engineering, or related field
Strong experience with ML pipeline orchestration tools (e.g., Kubeflow, MLflow)
Proficiency with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
Strong Python programming and Linux system administration skills
Experience with model serving frameworks (TensorRT, ONNX Runtime, TorchServe)
Familiarity with data versioning and experiment tracking tools (e.g., Weights & Biases, Neptune)
Experience with monitoring and logging systems (Prometheus, Grafana, ELK stack)
Strong organizational and communication skills; thrives in a fast-paced startup environment
Eligible to work on export-controlled projects and willing to relocate to Phoenix, AZ

Benefits

Equity: Meaningful early-stage ownership stake
Direct ownership of core ML infrastructure powering real-world autonomy
Opportunity to work across defense, robotics, and swarm AI systems
Mission-driven, collaborative environment with leadership experienced in frontier robotics

Company

Recruiting from Scratch

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A recruiting agency working with technology companies to help them hire software engineers, data roles, product managers, and hardware.

Funding

Current Stage
Early Stage

Leadership Team

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Will Sanders
Founder / CEO
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Tom Callahan
Managing Partner, Retained Executive Search
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Company data provided by crunchbase