Gridware

Senior Manager, Machine Learning

Gridware$245K — $295K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of direct management experience
  • 8+ years of experience in deploying ML models in production
  • Familiarity with deep learning and classical statistical approaches
  • Proficient in Python programming
  • Experience with cloud platforms and CI/CD workflows

Responsibilities

  • Manage team strategy and structure with 70% focus on management
  • Develop and support the growth of a high-performing team
  • Collaborate with engineering teams to deliver production-grade ML systems
  • Oversee the technical roadmap for cloud ML initiatives
  • Lead technical design of algorithms for hazard detection
  • Establish data strategy including real-world and synthetic data generation
  • Research novel modeling approaches to tackle automation challenges

Benefits

  • Comprehensive Health, Dental & Vision plans with options for full coverage
  • Paid parental leave
  • Alternating day off (every other Monday)
  • 'Off the Grid' two-week paid break annually
  • Commuter allowance
  • Company-funded training opportunities
Full 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!

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

About Gridware

Gridware is a cybersecurity company that provides a range of services to help businesses protect themselves from cyber threats. The company was founded in 2017 and is headquartered in Melbourne, Australia. Gridware's services include penetration testing, vulnerability assessments, and incident response, as well as ongoing monitoring and management of cybersecurity risks. The company's clients include businesses of all sizes across various industries, including finance, healthcare, and government.
Learn more about Gridware
Size
10 employees
Industry
Founded
2017

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