(Python Based) Senior Research Engineer

TRSS; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A leading technology firm in Toronto is seeking a Software Engineer to develop high-quality software solutions and scalable machine learning systems. With opportunities for professional development and a commitment to diversity, this role requires extensive experience in software engineering and machine learning. The ideal candidate will have at least 5 years of experience, a Bachelor's degree in Computer Science, and proficiency in Python. Enjoy a flexible hybrid work model and a culture that prioritizes work-life balance.

Benefits

Flexible hybrid work model

Comprehensive benefit plans

Access to LinkedIn Learning

Company-wide Mental Health Days Off

Qualifications

• Minimum of 5 years of software engineering experience.
• At least 2 years working on a machine learning-related product.
• Deep understanding of Python software development stacks.

Responsibilities

• Develop and deliver high-quality software solutions.
• Build scalable machine learning solutions.
• Collaborate effectively in a team-oriented environment.

Skills

Python software development

Machine learning

Agile methodologies

Cloud computing

Education

Bachelor’s Degree in Computer Science

Job description

Employer Industry: Legal and Information Services

Why consider this job opportunity

• Flexible hybrid work model with 2-3 days a week in the office
• Comprehensive benefit plans including flexible vacation and two company-wide Mental Health Days Off
• Access to LinkedIn Learning and internal Talent Marketplace for professional development
• Inclusive culture with a globally recognized reputation for diversity and work-life balance
• Opportunity to work on innovative solutions that impact justice and transparency

What to Expect (Job Responsibilities)

• Develop and deliver high-quality software solutions throughout the entire software development lifecycle
• Build scalable machine learning solutions and large-scale data processing pipelines
• Collaborate effectively in a team-oriented environment, sharing ideas and partnering with cross-functional teams
• Deliver timely solutions in a fast-paced, dynamic setting while embracing agile methodologies
• Contribute innovative ideas and be accountable for end-to-end deliveries

What is Required (Qualifications)

• Bachelor’s Degree in Computer Science, Related Field, or Equivalent Experience
• Minimum of 5 years of software engineering experience
• At least 2 years working on a machine learning-related product or solution
• Deep understanding of Python software development stacks and ecosystems
• Experience with cloud computing development and Agile methodologies

How to Stand Out (Preferred Qualifications)

• Experience integrating machine learning solutions into production-grade software
• Familiarity with Natural Language Processing (NLP) tasks such as Named Entity Recognition (NER)
• Hands-on experience in other programming languages or scripting languages (Java, Rust, Scala, Typescript, etc.)
• Ability to translate methodologies between research and engineering fields

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