Haydenai
Sr. Machine Learning Ops Engineer
San Francisco HQ Office · Senior
Sponsorship not specifiedDetected 13 days ago
PythonCode ReviewAWSGCPCloud PlatformsCI/CDLinuxMachine LearningDeep LearningComputer VisionMLOpsA/B TestingElectrical EngineeringLeadershipCommunicationMentoring
About the role
- You will play a key role in shaping the architecture of our ML infrastructure, from data ingestion and training pipelines to deployment, monitoring, and governance.
- As a senior member of the team, you will influence technical strategy, mentor engineers, and champion a culture of reproducibility, observability, and continuous improvement.
Responsibilities
- Architect, design, deploy, and operate scalable cloud-based MLOps platforms and workflows that enable efficient training, evaluation, deployment, monitoring, and lifecycle management of AI/ML models.
- Own the technical strategy and evolution of ML infrastructure, identifying architectural bottlenecks and driving cross-functional initiatives to improve developer productivity, experimentation velocity, scalability, and operational efficiency.
- Build robust, reliable, and automated systems that enable teams to ship new models and features rapidly while maintaining high standards for quality, reproducibility, observability, security, and production reliability.
- Define and implement infrastructure optimization strategies that balance performance, scalability, reliability, and cost across cloud and compute resources.
- Evaluate emerging tools, technologies, and industry best practices in MLOps, cloud infrastructure, and ML systems, and lead their adoption where they can meaningfully improve ML development and production workflows.
- Establish engineering best practices for ML infrastructure, including system design, code quality, testing, CI/CD, monitoring, documentation, and operational readiness.
- Provide technical leadership and mentorship to engineers, lead design and code reviews, and help raise the engineering quality and technical capabilities of the broader team.
- Partner closely with ML engineers, researchers, data engineers, and product teams to translate evolving AI/ML requirements into scalable and maintainable infrastructure solutions.
- Drive complex, ambiguous infrastructure projects from technical strategy and architecture through implementation, production deployment, and long-term operational ownership.
- Strong teamwork and communication skills to collaborate with cross-functional teams, including ML and software engineers.
Requirements
- A Bachelors Degree or a Masters Degree in Computer Science, Electrical Engineering, or a related field.
Company info
- At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
- From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
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