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Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - Canada)

Yelp

Canada

Remote

CAD 101,000 - 237,000

Full time

Yesterday
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Job summary

A leading company is seeking a Senior Machine Learning Engineer to join their Content Contributor Intelligence team. This remote role involves leveraging advanced ML techniques to connect users and businesses. The engineer will build end-to-end ML systems and mentor junior engineers in a collaborative environment. The position offers a competitive salary range and emphasizes inclusivity in hiring.

Benefits

Bonuses
Stock Options
Health Benefits
Fully Remote Work

Qualifications

  • Experience with developing and deploying ML models, especially neural networks.
  • Proficiency with ML packages like PyTorch, TensorFlow, and others.

Responsibilities

  • Perform data analysis and modeling using SQL and Python.
  • Mentor junior engineers and promote a culture of learning.
  • Develop and fine-tune transformer models for text and visual understanding.

Skills

Python
Data Analysis
Machine Learning
Problem Solving

Tools

PyTorch
TensorFlow
Spark MLlib
XGBoost
Sklearn

Job description

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - Canada)

Join to apply for the Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - Canada) role at Yelp

Role Overview

Yelp's engineering culture is driven by our values: a cooperative team that values authenticity and encourages creative problem-solving. New engineers deploy working code within their first week, with support from managers, mentors, and teams to maximize impact. Our goal is to help users, grow as engineers, and enjoy a collaborative environment.

As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will leverage advanced ML and AI techniques to connect millions of users and businesses across diverse locations. Your work will involve neural networks, large language models, embedding techniques, and traditional ML methods to transform raw data into actionable signals, building end-to-end ML systems, from training to deployment, and contributing to ML platform development.

This fully remote position is open to applicants across Canada, emphasizing that candidates need not meet every requirement to apply. We value great talent over checklists.

Responsibilities
  • Perform data analysis and modeling using SQL and Python, from hypothesis to presentation.
  • Mentor junior engineers and promote a culture of learning and excellence.
  • Handle large and complex textual and visual datasets.
  • Support ML projects for offline and real-time applications.
  • Develop and fine-tune transformer models for text and visual understanding.
  • Automate and productionize ML pipelines within Python services.
  • Advocate best practices in ML development and operations, mentoring newer engineers.
Qualifications
  • Experience with developing and deploying ML models, especially neural networks and computer vision, with data pipelines.
  • Proficiency with ML packages like PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or similar languages (Java, C++).
  • Understanding of engineering and infrastructure best practices.
  • Curiosity and persistence to solve new problems and see projects through.
  • Valuable experience with LLMs, APIs (OpenAI, Bedrock), prompt engineering, and evaluation.
Benefits
  • Salary range: $101,000–$237,000 annually, with possible bonuses, stock, and benefits.
  • Fully remote across Canada.
  • Additional information about Yelp's benefits can be found on our website.
Additional Information

Yelp values diversity and inclusivity, considering all qualified applicants regardless of background or protected status. We provide reasonable accommodations for individuals with disabilities during the application process. For assistance, contact accommodations-recruiting@yelp.com or 1-415-969-8488.

Note: We do not accept agency resumes. Unsolicited resumes may not be eligible for fees.

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