Engineering Manager, Machine Learning (Remote)

Job summary

The role involves leading cross-functional teams of machine learning engineers and data scientists to develop and deliver high-quality ML-driven capabilities, focusing on enhancing the resilience of electrical grids against climate challenges.

Qualifications

• Over 8 years of experience in building ML or data-driven systems, with at least 3 years in leadership roles.
• Strong passion for climate issues and the impact of technology on environmental challenges.
• Experience in high-growth scale-up or startup environments.
• Product-oriented mindset with a track record of achieving business impact through technology.
• Technical proficiency in machine learning and data systems to guide teams effectively.
• Familiarity with Python-based ML workflows and collaboration with data scientists.
• Excellent leadership and communication skills, with a focus on coaching and supporting team members.
• Commitment to continuous learning and staying updated with industry trends.

Responsibilities

• Enable machine learning and data teams to function as productive, cross-functional units.
• Support teams in working with satellite imagery and geospatial datasets, emphasizing experimentation and improvement.
• Attract and hire top talent in data and machine learning.
• Cultivate an inclusive and supportive team culture.
• Provide regular coaching and feedback to team members.
• Collaborate with Product Managers to align technical decisions with business goals.
• Ensure technical strategies meet future product and modeling needs.
• Work with other leaders on strategy and technology improvements.
• Evolve data and ML practices to enhance collaboration and delivery.

Skills

• Strong leadership and coaching abilities.
• Excellent communication and collaboration skills.
• Technical depth in machine learning and data systems.

Education

• Relevant degree in a technical field is preferred but not explicitly required.

Tools

• Experience with Python and machine learning frameworks is essential.