Senior Manager, Machine Learning

Gridware

Senior ML Manager leading cloud-based modeling team at Gridware. Focusing on strategic initiatives, algorithm development, and best practices for machine learning systems.

Posted 7/9/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $245,000 - $295,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in team management and strategy, with a strong focus on building high-performing teams and executing technical roadmaps for machine learning systems. Proficient in developing and deploying machine learning models, leveraging both deep learning and classical techniques.

Highest-signal resume keywords

Team ManagementMachine Learning Model DeploymentPython ProgrammingCloud PlatformsCI/CD Workflows

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Hard Skills

Machine LearningDeep LearningStatistical LearningAlgorithm DesignData StrategyPerformance ManagementTechnical Roadmap ExecutionData CollectionSynthetic Data GenerationModeling Approaches

Soft Skills

CoachingPerformance ManagementCareer Development

Tools & Technologies

Cloud PlatformsContainerizationCI/CD Workflows

Industry Keywords

Production-Grade ML SystemsAutomated Hazard DetectionReal-World Data Collection

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

70% team management and strategy, 30% IC time
Grow a high-performing team through hiring, coaching, performance management, and career development
Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems
Own technical roadmap and execution for the cloud ML organization, balancing near-term product delivery with long-term technical investments
Lead technical design of algorithms that improve the speed, accuracy, and reliability of Gridware’s automated hazard detection systems
Define data strategy and labeling requirements, including real-world data collection and synthetic data generation approaches
Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challenges

Requirements

What you’ll need

3+ years of direct management experience
8+ years of experience building and deploying machine learning models in production environments
Experience with both deep learning and classical machine/statistical learning techniques
Strong programming skills with demonstrated proficiency in Python
Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows

Benefits

Comp & perks

Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
Paid parental leave
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees.
Commuter allowance
Company-paid training