Senior Machine Learning Manager

4 days ago


New York, New York, United States Canoe Intelligence Full time
Job Title: Senior Machine Learning Manager

About the Role:
Canoe Intelligence is seeking an experienced Senior Machine Learning Manager to lead our AI/ML team. As a key member of our organization, you will be responsible for overseeing and guiding ML work, cultivating technical talent, and accelerating Canoe's product growth.

About You:
We are looking for an individual with a strong background in Machine Learning and a history of creating ML-based solutions to solve customer problems. The ideal candidate will have at least 8 years of experience in software development or data science roles, with at least 5 in machine learning with a focus on NLP. Additionally, they should have a minimum of 2 years of experience leading teams and managing ICs.

About Our Company:
Canoe Intelligence is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms, and wealth managers. Our AI-driven platform automates manual workflows related to alternative investment document and data management, extraction, and delivery.

Responsibilities:
The Senior Machine Learning Manager will be responsible for:
  • Leading, mentoring, and managing a team of four to eight AI engineers.
  • Fostering a collaborative and inclusive team culture, promoting professional growth and development.
  • Driving the hiring process to attract top talent.
  • Collaborating with product management and other stakeholders to define and prioritize technical projects.
  • Managing project timelines, deliverables, and resources to ensure successful project completion.
  • Identifying and mitigating risks, removing roadblocks, and ensuring a continuous flow of information within the team.

Salary: $180,000 - $220,000 per year (based on NYC, will be adjusted for geo)

Benefits:
We offer a comprehensive benefits package, including medical, dental, vision benefits, flexible PTO, 401(k), flexible work from home policy, home office stipend + wifi reimbursement, employee assistance program, gym reimbursement, education assistance, parental leave, and commuter benefits.

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