Staff MLOps Engineer
AI summary of the role
Apptronik is hiring a Staff MLOps Engineer to own the technical direction of the MLOps platform for Apollo, a general-purpose humanoid robot.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the technical direction for the MLOps platform — define subsystem interfaces, drive architecture decisions, and establish engineering standards for datasets, experiments, and models.
- Design and operate the dataset layer end-to-end: versioning, lineage, splits, and labeling-integration handoff.
- Build and operate a first-class model registry with versioned artifacts, metadata, evaluation results, lineage, and approval workflows.
- Define offline benchmarks, simulation rollouts, and policy-gating harnesses that any model must pass before reaching Apollo.
What you’ll bring
- Deep proficiency in Python and at least one systems-level language (Go, Rust, or C++).
- Proven experience owning and delivering an MLOps platform end-to-end at a company that ships models to production.
- Expertise across the model lifecycle: dataset versioning (DVC, LakeFS, Delta, or equivalent), experiment tracking (MLflow, W&B, Determined), model registry, and policy serving.
- Strong background designing service-oriented systems on Kubernetes.
Technologies
Python · Go · Rust · C++ · Kubernetes · ONNX · TensorRT · MLflow · W&B · DVC · LakeFS · Delta
About Apptronik
UT-Austin spinout building Apollo, a general-purpose humanoid robot for manufacturing and logistics, paired with foundation-model-based control.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform — the system of record for datasets, experiments, model artifacts, and serving paths that connects
More from the job description
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform — the system of record for datasets, experiments, model artifacts, and serving paths that connects teleoperation data collection on one side to deployed autonomy on Apollo on the other. In this role, you will set the architecture for the platform layer above the training cluster: dataset lifecycle, experiment tracking, model registry, evaluation harnesses, and the serving / packaging path that delivers trained policies to robots in the field. You will lead by influence across MLOps, Autonomy, Data Platform, and TeleOp — establishing the standards, contracts, and tooling that turn one-off research co [... source excerpt omitted ...] r while mentoring the engineers around you, and partnering closely with the Training Infrastructure engineer who owns the cluster layer beneath the platform. ESSENTIAL DUTIES AND RESPONSIBILITIES Platform Architecture & Ownership Technical Direction: Own the technical direction for the MLOps platform — define subsystem interfaces, drive architecture decisions, and establish engineering standards for how datasets, experiments, and models move through Apptronik's systems. Cross-Team Authority: Serve as the primary technical point of contact for Autonomy, Data Platform, and TeleOp on all matters of model lifecycle and platform contracts. Dataset Lifecycle & Versioning Versioning & [... source excerpt omitted ...] th the Training Infrastructure engineer on the cluster/platform contract, and influence research workflows across Autonomy to standardize on the platform's primitives. SKILLS AND REQUIREMENTS Deep proficiency in Python and at least one systems-level language (Go, Rust, or C++), with demonstrated ability to make and defend architectural tradeoffs in production ML platforms Proven experience owning and delivering an MLOps platform end-to-end — dataset lifecycle, experiment tracking, model registry, evaluation, and serving — at a company that ships models to production Expertise across the model lifecycle: dataset versioning (DVC, LakeFS, Delta, or equivalent), experiment tracking (
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