Senior Manager, Machine Learning

Gridware Technologies Inc.

San Francisco (CA)

On-site

USD 245,000 - 295,000

Full time

14 days+

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Benefits offered by this job

Health, Dental & Vision (Gold/Platinum
Parental leave
Alternating day off
Off the Grid break
Commuter allowance
Company-paid training

Job summary

Gridware Technologies Inc. is seeking a Senior ML Manager to lead and grow a cloud-based modeling team, shaping strategy and best practices for scalable ML systems.

You will balance leadership with hands-on contributions, guiding the team through hiring and career development while coordinating with software and ML infrastructure teams. The ideal candidate has extensive ML production experience, deep learning and traditional methods knowledge, and strong Python skills.

Qualifications

  • 3+ years of direct management experience.
  • 8+ years of experience building and deploying ML models in production.
  • Experience with both deep learning and classical machine/statistical learning techniques.
  • Strong programming skills with Python.
  • Experience with cloud platforms, containerization, and CI/CD workflows.

Responsibilities

  • 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.

Skills

Management
ML production
Deep learning
Python
Cloud/CI-CD

Job description

Role Description

As a Senior ML Manager, you will serve as a player coach role for Gridware’s cloud-based modeling team. You will help grow the existing team, improve algorithmic development frameworks, focus on strategic initiatives and direction for how we approach cloud sensor modeling, and establish best practices for a high throughput ML team.

Responsibilities
  • 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
Required Skills
  • 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
Bonus Skills
  • Experience working with signal processing or sensor-derived data
  • Experience at a growth-stage start-up
  • Familiarity with human-in-the-loop or human-on-the-loop ML systems

$245,000 - $295,000 a year

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.

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
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