Climateai
Senior MLOps Engineer
San Francisco, California, United States · Senior
Sponsorship not specified$170k-$200kDetected 9 days ago
AWSGCPAzureCloud PlatformsTerraformCI/CDMachine LearningData EngineeringData ScienceMLOpsCybersecurityForecastingSupply ChainCommunicationMentoringAdaptability
About the role
- This is a high-leverage role at the intersection of infrastructure, ML platform, and security.
Responsibilities
- Own and evolve our Infrastructure as Code so environments are reproducible, auditable, and easy for engineers to extend
- Build CI/CD and deployment patterns for ML pipelines and models, including reproducible training, automated validation, and safe rollouts to production
- Author clear architectural documentation, runbooks, and design proposals to communicate tradeoffs to engineering and non-technical stakeholders
- Strong communication and ownership. You scope your work, monitor what you ship, and drive problems to permanent resolution
- Ability to collaborate closely with Data Scientists, Engineers, and Product, to design and support end-to-end ML workflows.
Requirements
- Production experience with ML lifecycle management platforms such as MLFlow, Weights & Biases, Neptune.ai, Comet.ml or similar
- Experience with IaC using Terraform, Pulumi, OpenTofu, Encore, Crossplane or similar
- Deep experience with building systems-of-systems in AWS, GCP, or Azure, that span across multiple services or multiple cloud providers
- Experience with training, inference, deploying, and scaling modern ML models to production
- Experience with configuring models with datasets up to the petabyte-scale
Skills
- What if your next position helped protect entire communities and safeguard the future of food, water, and livelihoods?
- Our hybrid work schedule includes 3 in-person days at one of our core locations (SF, Boston) and 2 remote days.
Compensation
- The base compensation range for employees based in the US is $170,000-200,000 and equity in line with experience and company stage.
- This salary range may be inclusive of several career levels at ClimateAi and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, business need and US location.
- Competitive salary and equity
- Learning budget per year
Benefits
- Competitive salary and equity
- Medical, dental, vision benefits
- Learning budget per year
- Unlimited PTO policy with minimum time off requirements
- Flexible working hours on many teams
Company info
- What We're Looking For
- Work with smart, curious, passionate people and be part of the mission to help the world
- At ClimateAi we are driven by a united passion to tackle climate change.
- Expect to give and receive constructive feedback, as we are constantly seeking to push the innovation frontier while simultaneously growing as individuals and as a team.
Equal opportunity
- ClimateAi is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Culture of diversity and inclusion including employee resource groups
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This listing is sourced directly from Climateai's careers page and normalized into a canonical job model.