What are the responsibilities and job description for the Machine Learning Operations Engineer position at Recruiting From Scratch?
Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https://www.recruitingfromscratch.com/
Title of Role: Machine Learning Operations Engineer
Location: Phoenix, AZ (On-site)
Company Stage of Funding: Early-Stage, Venture-Backed
Office Type: On-site, Full-Time
Salary: Competitive Equity
Company Description
Location: Phoenix, AZ (On-site)
Company Stage of Funding: Early-Stage, Venture-Backed
Office Type: On-site, Full-Time
Salary: Competitive Equity
Company Description
We’re representing a defense technology company building next-generation autonomous swarm systems for unmanned ground vehicles (UGVs). The company is applying cutting-edge machine learning and edge AI to deliver low-cost coordinated robotic fleets capable of executing complex missions across multiple domains.The leadership team brings decades of experience in self-driving vehicles, aerospace, and defense, and the company is rapidly scaling its engineering team in Phoenix, AZ to meet growing demand.
What You Will Do
What You Will Do
As a Machine Learning Operations Engineer, you’ll design, build, and maintain the ML infrastructure that powers perception and autonomy across vehicle swarms. You will:
Ideal Background
Compensation and Benefits
This role is ideal for engineers passionate about scaling ML infrastructure, deploying cutting-edge models in the field, and building the backbone for autonomous swarm robotics in a fast-moving defense technology company.
- 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.
Ideal Background
- 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.
Compensation and Benefits
- Salary: Competitive (commensurate with experience)
- Equity: Meaningful early-stage ownership stake
- Work Setup: On-site in Phoenix, AZ (relocation assistance available)
- Other Benefits:
- 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
This role is ideal for engineers passionate about scaling ML infrastructure, deploying cutting-edge models in the field, and building the backbone for autonomous swarm robotics in a fast-moving defense technology company.
Salary Range: $160,000-$200,000 base. https://www.recruitingfromscratch.com/
Salary : $160,000 - $200,000
