LawZero
MachineLearningManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Machine Learning Manager at LawZero. Skills: Machine Learning, AI Safety, People Management, Technical Leadership. Lead ML research scientists. Mentor ML research scientists”
What You'll Achieve.
Accelerate research velocity; Achieve breakthroughs; Push research boundaries
Industry & Context.
Problem-solving; Ambiguous challenges; Unmapped challenges
What They're Looking For.
Must Have
PhD in relevant field, 10+ years experience machine learning, 5+ years experience leading people, Experience leading ML research projects, Experience in foundation models, Advanced oral communication skills, Advanced written communication skills, Resilience, Advanced problem-solving skills
Nice to Have
Scientist AI framework knowledge
What You'll Do.
Lead ML research scientists
Mentor ML research scientists
Inspire ML research scientists
Partner with talent acquisition
Drive technical hiring
Source candidates actively
Coach technical team members
Ensure high quality experience
Ensure supportive experience
Cultivate inclusive environment
Cultivate collaborative environment
Cultivate rigorous environment
Display managerial courage
Guide cross-functional teams
Tackle scientific challenges
Tackle engineering challenges
Manage research workflows
Optimize research workflows
Ensure rigorous results
Ensure reproducible results
Advocate for research agenda
Achieve breakthroughs
Overcome technical roadblocks
Collaborate within projects
Collaborate across projects
Bridge theoretical concepts
Bridge advanced engineering
How You'll Work.
Team & Collaboration
Cross-functional project teams; Matrix structure
Communication Scope
Translate scientific concepts
Process & Methodology
Project management
Full Job Description
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua Bengio. As both a people manager and technical leader, you will guide research team members and spearhead complex projects within a matrix structure. You will bridge the gap between cutting-edge scientific theory and large-scale engineering execution. People management Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers. Partner with other leaders and talent acquisition to scale the organization. Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity. Coach technical team members to help them do their best work and develop new skills, while ensuring a high quality, supportive employee experience. Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment. Display managerial courage as needed to continue fostering a healthy and productive work environment as we scale. Technical leadership Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges within an evolving matrix structure. Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale. Advocate for our research agenda internally and externally, maintaining momentum to achieve breakthroughs and overcome complex technical roadblocks. Collaborate within and across projects, bridging theoretical concepts and advanced engineering. Required skills and qualifications Background & experience PhD in a relevant field (e.g., Computer Science, Mathematics). 10+ years experience in machine learning / deep learning 5+ years experience leading projects and people Experience leading machine learning / deep learning research
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