August 14
• Design and deploy machine learning algorithms for various use cases. • Work on real-world consumer data for various analyses. • Work with large unstructured data. • Impact millions of users through your work. • Build frameworks, tools, and methodologies for the data science team. • Provide thought leadership through quality write-ups and reviews.
• Strong machine learning skills. • Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages • Data Engineering skills and large data experience. • 5+ years of hands-on experience shipping models to production. • MS in Computer Science, Statistics, Math, Science or similar quantitative field plus 5+ years of industry experience. • Strong software engineering and coding skills. • Strong understanding of probability & statistics, machine learning, and algorithms. • Experience with SQL and NoSQL databases. • Experience working with Linux, shell scripting. • Previous startup experience strongly preferred.
• Equal-opportunity employer • Value diversity
Apply NowAugust 14
Architect and optimize ML inference platforms for various models and innovative solutions.
June 13
🇨🇦 Canada – Remote
💰 $240M Private Equity Round on 2021-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
June 5
🇨🇦 Canada – Remote
💵 $185.5k / year
💰 $21.4M Post-IPO Equity on 2022-11
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
Python
Web3
December 23, 2023
Design and implement machine learning solutions for fraud prevention using advanced technologies.