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Ml Software Developer Jobs in Toronto, ON (NOW HIRING)

YO AI Labs

AI/ML Software Engineer - Remote

Toronto, ON · Remote

$80 - $120/hr

Familiarity with AI/ML systems is a plus but not required. * Experience with rigorous code reviews and software engineering best practices . * Experience working effectively in remote or cross ...

Autodesk

Principal Software Developer

Toronto, ON · On-site

CA$131K - CA$191K/yr

Partner with Software Architects, Product Managers and Engineering Managers to design technical ... Exposure to Vector Databases and ML Infrastructure * Exposure to Knowledge Graph/ Graph Databases

Autodesk

Senior Software Developer, Backend

Toronto, ON · On-site

CA$107K - CA$157K/yr

Play a key role in delivering AI/ML-powered features by building the backend systems, data ... Collaborate across engineering, product, and AI/ML teams to enable seamless integration across ...

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Ml Software Developer information

Is ML a high paying job?

Machine Learning (ML) software developers typically earn high salaries due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but overall, ML roles are considered well-compensated within the tech field.
Ml Software Developer jobs near you

AI/ML Software Engineer - Remote

Toronto, ON • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 13 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.