Remote Senior Machine Learning Ops Engineer

Description:

• The Senior Machine Learning Ops Engineer at Overstory will design and build the foundations of machine learning operations, ensuring models are reliable, maintainable, and deliver real value to customers.
• This role involves architecting end-to-end systems for experiment tracking, data management, and scalable deployment.
• As one of the first dedicated MLOps hires, the engineer will have significant ownership and influence over the technical direction, balancing best practices with pragmatic delivery.
• Responsibilities include designing, building, and maintaining automated pipelines for training, testing, and deploying ML models, as well as experiment tracking systems for performance metrics, data and model versioning, and documentation.
• The engineer will also create processes for the full model lifecycle, including registries, release and rollback strategies, and scalable model serving.
• Monitoring and alerting for prediction quality, system health, and cost optimization will also be part of the role.
• The engineer will advocate for a balance between MLOps best practices and quick slices of value, aligning technical solutions with customer needs, and ensuring MLOps systems support regulatory, privacy, and security requirements.

Requirements:

• Candidates should have 8+ years of experience designing and building production-grade ML pipelines and systems, although those with 5+ years of experience are encouraged to apply if they feel they are strong candidates.
• Strong knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring is required.
• Experience with ML infrastructure tools such as MLflow, Kubeflow, Airflow, feature stores, and model registries is necessary.
• Familiarity with GCP and VertexAI is preferred but not required.
• Strong communication skills and the ability to align technical solutions with business goals are essential.
• Candidates should be comfortable making architectural decisions and balancing best practices with practical trade-offs.

Benefits:

• Employees will be part of mission-driven work that reduces wildfires, protects earth’s natural resources, and helps solve the climate crisis.
• The position offers a flexible working environment with a lot of autonomy, allowing employees to build their workdays around their lives.
• Additional benefits include a remote working budget, an educational budget, and time to develop new skills.
• Employees will be surrounded by a vibrant, smart team that values openness, tolerance, and respect.
• The position includes equity and a competitive salary.