COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Manager, AI/ML Engineering

LOCATION: New York City (hybrid) or Fully Remote in the United States

SALARY: $170,000 - $215,000 (based on NYC, will be adjusted for geo)

The Role:

We are seeking an experienced and motivated Software Engineering Manager to lead and inspire our AI/ML team. The ideal candidate will have a strong background in Machine Learning and a history of creating ML-based solutions to solve customer problems. You’ll play a key role in overseeing and guiding ML work, cultivating technical talent, and accelerating Canoe’s product growth.

What You’ll Do:

• Lead, mentor, and manage a team of four to eight AI engineers.
  
• Foster a collaborative and inclusive team culture, promoting professional growth and development.
  
• Drive the hiring process to attract top talent.
  
• Collaborate with product management and other stakeholders to define and prioritize technical projects.
  
• Manage project timelines, deliverables, and resources to ensure successful project completion.
  
• Identify and mitigate risks, remove roadblocks, and ensure a continuous flow of information within the team.
  
• Adapt to changing requirements and provide innovative solutions to complex technical challenges.
  

What We’re Looking For:

• Minimum of 8 years of experience in software development or data science roles, with at least 5 in machine learning with a focus on NLP.
  
• Minimum of 2 years of experience leading teams and managing ICs.
  
• Demonstrated experience working cross functionally with Product and other Engineering teams to deliver ML-driven solutions.
  
• Excellent leadership, communication, and interpersonal skills.
  
• Ability to work effectively with ambiguous or missing information and adapt quickly in a startup-like environment.
  
• Strong problem-solving skills and a passion for getting involved in both technical details and high-level strategy.
  
• Experience in information extraction, entity resolution, and entity disambiguation.
  
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  

Preferred:

• Master’s Degree in Computer Science with a focus on Data Science or Machine Learning.
• Experience delivering a machine learning project end-to-end.
• Familiarity with large language models.
• Familiarity with cloud computing platforms and distributed computing.
• Familiarity with the modern ML stack, including tools such as Modal, Weights and Biases, Hugging Face, etc.
• A curious explorer who keeps up to date with latest technical developments and has a good knowledge of the process of building ML systems.
• A leader who promotes a culture of curiosity, inclusion, and humility.
  

What You’ll Get:

• 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
  
• Commuter benefits
  
  

Our Values:

• Client First —> Listen, and deliver client-centric solutions
• Be An Owner —> Take initiative, improve situations, drive positive outcomes
• Excellence —> Always set the highest standard for yourself and others
• Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Department

Engineering

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