Staff Machine Learning Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Machine Learning Engineer based in Canada.

This role offers the opportunity to shape the future of AI-powered software by designing, building, and deploying advanced backend generative AI solutions.
You will work on complex R&D challenges, transforming innovative ideas into reliable, scalable, and production-ready systems.
As a technical leader, you will influence machine learning architecture, engineering standards, and the way AI products are built and delivered.
You will collaborate with talented applied scientists and engineers in a remote-first environment focused on agentic AI and AI-native experiences.
Your work will directly contribute to developing intelligent workflows and next-generation platforms used at scale.
This is an opportunity for an experienced engineer who thrives in ambiguity, values ownership, and enjoys solving challenging technical problems.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Machine Learning Engineer based in Canada.

This role offers the opportunity to shape the future of AI-powered software by designing, building, and deploying advanced backend generative AI solutions.
You will work on complex R&D challenges, transforming innovative ideas into reliable, scalable, and production-ready systems.
As a technical leader, you will influence machine learning architecture, engineering standards, and the way AI products are built and delivered.
You will collaborate with talented applied scientists and engineers in a remote-first environment focused on agentic AI and AI-native experiences.
Your work will directly contribute to developing intelligent workflows and next-generation platforms used at scale.
This is an opportunity for an experienced engineer who thrives in ambiguity, values ownership, and enjoys solving challenging technical problems.

Accountabilities:

You will be responsible for driving the development of robust machine learning and backend systems, ensuring solutions are scalable, secure, and ready for production deployment.

• Design, build, and deploy backend generative AI solutions that enable intelligent and automated workflows.
• Transform complex and ambiguous R&D challenges into clear, scalable, and production-grade software solutions.
• Own the quality, reliability, and technical direction of code moving into production.
• Contribute to machine learning architecture decisions and continuously improve engineering practices.
• Develop infrastructure and workflows supporting agentic AI performance, evaluation, and deployment.
• Evaluate, adapt, and optimize models to deliver high-quality production solutions.
• Collaborate closely with engineers, applied scientists, product managers, and technical leaders to drive alignment and execution.
• Act as a technical role model by promoting engineering excellence, ownership, and clarity across teams.

Requirements:

The ideal candidate is an experienced machine learning or backend engineer who combines strong technical expertise with the ability to solve complex problems independently and collaborate effectively across disciplines.

• Proven experience building highly scalable backend engineering solutions in cloud-based environments.
• Strong ability to navigate ambiguity, define technical approaches, and deliver practical solutions.
• Deep understanding of software engineering principles, with a strong sense of ownership over production systems.
• Experience working with machine learning concepts, generative AI, or AI-powered applications.
• Proficiency with technologies such as Python, cloud platforms, Kubernetes, or related modern engineering tools.
• Familiarity with AI development frameworks, backend infrastructure, or agentic AI systems is an asset.
• Ability to leverage AI tools to accelerate research and development while maintaining high standards of code quality.
• Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
• A proactive mindset, curiosity, and passion for advancing AI-driven technologies.

Benefits:

• Competitive base salary range of $195,000 - $235,000 CAD, depending on location, experience, and skills.
• Eligibility for annual bonus programs and equity-based incentives for permanent employees.
• Comprehensive health, wellness, and retirement benefits.
• Generous paid leave policies and wellbeing-focused initiatives.
• Dedicated professional development budget to support continuous learning and growth.
• Fully remote work flexibility within Canada, with opportunities for intentional collaboration through office spaces and team events.
• Opportunity to work alongside experienced AI engineers and applied scientists on innovative AI solutions.
• Flexible remote environment with collaboration across Canada and the US.

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