Senior / Staff Machine Learning Ops Engineer
Waabi
hybridseniorpermanentbackenddevops United States 6 days ago via LinkedIn
157,000 - 234,000 USD/annual
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MLOpsPythonTensorFlowPyTorchAWSAzureGoogle CloudDockerKubernetesCI/CD
About the role
Role: Senior / Staff Machine Learning Ops Engineer
Waabi is looking for a Senior/Staff MLOps Engineer to build and operate production-grade MLOps pipelines for machine learning models powering autonomous transportation.
Responsibilities
- Design, develop, and implement MLOps pipelines for continuous deployment and integration of ML models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline workflows.
- Automate training, testing, and deployment for ML models.
- Monitor and maintain model pipelines to ensure performance, accuracy, reliability, and stability in production.
- Optimize pipelines for scalability, efficiency, and cost-effectiveness.
- Ensure MLOps work complies with security and data privacy standards.
Requirements
- 3–5 years of experience in MLOps, DevOps, or a related field.
- Bachelor’s degree in Computer Science, Data Science, or related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in Python and hands-on experience with TensorFlow or PyTorch.
- Experience with cloud platforms and ML services: AWS, Azure, or Google Cloud.
- Familiarity with Docker and Kubernetes for containerization and orchestration.
- Knowledge of CI/CD, automation, and Git.
- Experience with monitoring tools/practices for production model performance.
- Strong troubleshooting and problem-solving skills.
- Ability to work collaboratively across cross-functional teams.
Nice to have
- Infrastructure-as-Code (e.g., Terraform, Crossplane).
- Big data technologies such as Apache Spark or Hadoop.
- Data engineering tools/practices.
- Experience with A/B testing and model validation in production.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty).
Compensation & Benefits (US)
- Salary range: $157,000 – $234,000 USD/year (plus competitive perks & benefits).
- Additional compensation may include equity incentive awards and an annual performance bonus.
- Benefits include medical/dental/vision (full-time), unlimited vacation, flexible hours, and work from home support.
- Additional office perks (when in office) and regular team activities/events.
About Waabi
Waabi is a technology startup in the field of Physical AI, aiming to enable autonomous transportation. The company builds machine learning and related systems that support commercial autonomous trucks and robotaxis, partnering with leaders across AI, automotive, logistics, and deep tech.
Scraped 5/12/2026