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Staff Machine Learning
Posted on 11/12/2022
INACTIVE
Locations
Toronto, ON, Canada • San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
Data Structures & Algorithms
Requirements
  • 4+ years of Data and Applied Machine Learning Engineering
  • You want to join a small team of hard workers, to build an excellent product that'll help everyone you know
  • You have strong expertise in Machine Learning fundamentals: modeling, optimization, feature engineering, evaluation
  • You have extensive experience in deploying machine learning models in production
  • You have strong expertise in Computer Science fundamentals: databases, data structures, algorithms, networking
  • You have a specific interest in recommendation engines, deep learning, and scaling web services
  • 1+ years of a startup experience
Responsibilities
  • Bring a high level of technical expertise, guidance, and strategic decision making to key areas of Crossing Minds, including machine learning research and development, data science, machine learning engineering and its orchestration, data pipelines, internal tools
  • Contribute to our solutions and products, improve the quality and performances of our machine learning algorithms and feature processing
  • Support our rapid growth by working with our team to conduct technical interviews as well as design systems and tools to help us scale effectively
  • Establish a world-class machine learning and data science culture
  • Stay up to date with the state of the art of machine learning research
Crossing Minds

11-50 employees

Perceptive recommendation & discovery platform
Company Overview
Crossing Minds' mission is to help businesses create magic moments for their customers by proactively surfacing the items that are most relevant to them. The company makes AI technology that fuels the smartest recommender system for eCommerce, marketplaces, streaming services, and more.
Benefits
  • Medical, dental, & vision insurance
  • Employer-matched 401(k)
  • 20-day PTO
  • 9-days of paid holiday
  • Company shutdown from 12/24 - 01/01
  • Professional education opportunities
  • Voluntary Travel Policy
  • Visa support, if needed