Staff Machine Learning Engineer

Gridware • San Francisco, CA

1d

About The Position

As a Staff ML Engineer, you will work directly in Gridware’s Automation org and play a critical role in helping shape and execute on developing algorithms to help improve the speed and accuracy at which Gridware identifies hazards on the grid.

Requirements

• 8+ years of experience building and deploying machine learning models in production environments
• Deep 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

Nice To Haves

• Experience working with signal processing or sensor-derived data
• Familiarity with human-in-the-loop or human-on-the-loop ML systems

Responsibilities

• Design, implement, and deploy advanced machine learning models operating on multi-modal and multi-resolution data
• Lead development 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
• Partner with software engineering and ML infrastructure teams to ship robust, production-grade ML systems
• Act as a technical leader and reviewer across Machine Learning and Data Science teams, influencing architecture and modeling decisions
• Mentor and support junior engineers and scientists through design reviews, pairing, and technical guidance
• Explore and evaluate novel modeling approaches and research ideas to address existing and emerging automation challenges

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees