Apptronik
Staff MLOps Engineer
Onsite - Austin, TX +1 · Staff · Full-time · Posted May 28, 2026
- Location
- Onsite - Austin, TX
Austin, TX - Experience
- 8+ years of professional software engineering experience in ML platforms or related infrastructure, OR 4+ years of direct, hands-on experience owning an MLOps platform that shipped models to production.
- Education
- Master's degree in Computer Science, Machine Learning, or a related technical field preferred; Bachelor's considered with exceptional experience.
About the job
Own the technical direction and hands-on development of Apptronik’s MLOps platform, taking datasets and trained models through evaluation, qualification, and deployment to Apollo robots.
What you'll do
- Architect and operate platform capabilities for dataset versioning, experiment tracking, model registry, and artifact lineage.
- Define model evaluation, qualification, and promotion workflows, including packaging, on-robot deployment, rollback, and observability.
- Lead technical work across teams and mentor engineers on MLOps standards and tooling.
What they ask for
- Deep proficiency in Python and at least one of Go, Rust, or C++; demonstrated production ML-platform architecture skills.
- Experience owning and delivering an end-to-end MLOps platform for models shipped to production.
- Experience with Kubernetes-based service-oriented systems and ML evaluation or qualification frameworks where regressions carry high costs.
- Proficiency with cloud infrastructure (AWS, GCP, or Azure), Docker, Git, and modern CI/CD workflows.
Nice to have
- Experience deploying ML models to edge or embedded targets, or with RL infrastructure, robotics, teleoperation, or simulation-in-the-loop evaluation.
- Familiarity with policy gating, staged rollouts, or open-source MLOps tooling contributions.
Tools
Python, Go, Rust, C++, Kubernetes, DVC, LakeFS, Delta
AI focus
Build the MLOps lifecycle for robotics models, including dataset management, model evaluation and qualification, and deployment of trained policies to Apollo robots.
Model-written summary · the original posting is authoritative