Staff MLOps Engineer — Robotics Platform Lead

Apptronik Systems, Inc.

Austin (TX)

On-site

USD 120,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Collaborative work environment
Professional development opportunities

Job summary

Apptronik Systems, Inc. is looking for a Staff MLOps Engineer to lead the technical direction of their MLOps platform, focusing on datasets, experiments, and model artifacts. This role involves defining architecture, ensuring model lifecycle compatibility, and leading cross-functional teams.

The ideal candidate will have a Master’s degree in Computer Science or a related field and at least 8 years of experience in using machine learning platforms.

Benefits include a collaborative work environment and opportunities for professional growth.

Qualifications

  • Proven experience in end-to-end MLOps platform delivery.
  • 8+ years in software engineering or 4+ in MLOps.
  • Familiarity with humanoid robotics or teleoperation.

Responsibilities

  • Own platform architecture and establish engineering standards.
  • Serve as the technical point of contact across teams.
  • Mentor junior engineers and influence platform standards.

Skills

Proficiency in Python
Experience with systems-level languages (Go, Rust, C++)
MLOps platform engineering
Service-oriented systems on Kubernetes
Cloud infrastructure (AWS, GCP, Azure)
Docker and CI/CD workflows

Education

Master’s degree in Computer Science or related field
Bachelor’s degree with exceptional experience

Tools

DVC
MLflow
ONNX Runtime

Job description

Apptronik Systems, Inc. is looking for a Staff MLOps Engineer to lead the technical direction of their MLOps platform, focusing on datasets, experiments, and model artifacts. This role involves defining architecture, ensuring model lifecycle compatibility, and leading cross-functional teams.

The ideal candidate will have a Master’s degree in Computer Science or a related field and at least 8 years of experience in using machine learning platforms.

Benefits include a collaborative work environment and opportunities for professional growth.

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