This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer, New Grad - Quora based in Canada. Join a forward-thinking engineering team building AI-powered consumer experiences used by millions of people worldwide. This role offers the opportunity to work on advanced machine learning systems, including large language models and generative AI applications. You will contribute to impactful product improvements through experimentation, scalable ML solutions, and production-ready AI development. Working in a remote-first environment, you will collaborate with talented engineers, product teams, and cross-functional partners. The position is ideal for a recent graduate passionate about AI, machine learning, and creating technology that improves how people access and share knowledge. You will have ownership over meaningful projects while continuously learning and growing alongside experienced technical teams. \n

Accountabilities: As a Machine Learning Engineer, you will help design, build, and optimize AI-driven features that enhance user experiences and improve platform intelligence. You will work across the machine learning lifecycle, from experimentation and model development to production deployment and performance optimization. Build and iterate on consumer-facing AI features powered by large language models (LLMs) and generative AI technologies. Collaborate across the AI engineering stack, including prompt engineering, agent workflows, model evaluation, and optimization. Design and run structured experiments, including A/B tests and offline evaluations, to measure improvements in engagement, quality, and trust. Partner with product and engineering teams to translate user needs into scalable machine learning solutions. Improve AI system reliability through monitoring, quality analysis, guardrails, and investigation of failure modes. Optimize production AI systems for performance, cost efficiency, latency, and scalability. Contribute to a culture of technical excellence, experimentation, continuous learning, and knowledge sharing. Requirements: The ideal candidate is a motivated early-career engineer with strong foundations in machine learning, software development, and analytical problem-solving. You should be excited about applying AI technologies to real-world products and collaborating in a fast-moving technical environment. Currently pursuing or recently completed a B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field, with graduation expected in 2025 or 2026. Strong understanding of the mathematical foundations behind machine learning algorithms. Experience working with LLM applications, transformer models, or related AI technologies. Proficiency in Python or C++, or the ability to quickly learn new programming languages. Strong written English skills, with the ability to evaluate tone, accuracy, clarity, and nuance in content. Passion for continuous improvement, experimentation, and learning new technologies. Ability to collaborate effectively with engineering and product teams in a remote environment. Availability for collaboration during required coordination hours (Monday to Friday, 9 AM–3 PM Pacific Time). Previous software engineering experience through internships, professional experience, or coding competitions is a plus. Experience building AI agents or production-scale machine learning systems is an advantage. Benefits: Competitive salary range based on location, experience, education, and business needs. Canada compensation ranges include: Toronto and Vancouver locations: CA$137,852 – CA$157,061 plus equity and benefits. Other Canadian locations: CA$128,661 – CA$146,590 plus equity and benefits. Equity opportunities and potential refresh grants. Comprehensive medical, dental, and vision coverage. Remote-first work environment with remote work reimbursement. Paid time off and employee assistance programs. Opportunities to work on impactful AI and machine learning projects at global scale. Supportive, inclusive culture focused on collaboration, innovation, and continuous learning.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1