Senior Machine Learning Engineer

Jobgether; Remote; CAD 232,000 - 274,000; Full time

Job summary

A tech recruitment agency is seeking a Senior Machine Learning Engineer in Canada to design and optimize machine learning systems for a marketplace connecting users to products. This remote position offers a competitive salary ranging from $170,000 to $200,000 USD, annual review, and various benefits including 35 days of PTO and remote work stipends. Ideal candidates will have substantial software engineering experience specifically in machine learning and a passion for tech that impacts users positively.

Benefits

Competitive salary

Equity compensation

Fully remote work

35 days of PTO

Learning & development stipend

Home office stipend

Paid company retreats

Qualifications

• 5+ years of software engineering experience, with at least 2+ years focused on machine learning.
• Experience in building large-scale consumer-facing ranking systems.
• Strong backend and data engineering skills.

Responsibilities

• Design, implement, and iterate on large-scale ML systems.
• Optimize algorithms to improve relevance and performance.
• Conduct experiments, analyze data, and use insights for models.

Skills

Software engineering experience

Machine learning

Data engineering

Analytical skills

Communication skills in English

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Discover in Canada.

This role focuses on building a large-scale recommendation engine for a discovery marketplace that connects millions of users to creators, communities, and products that help them achieve personal and professional growth. You will design, implement, and optimize machine learning systems, from embeddings and ranking models to experimentation frameworks, to enhance the user experience. Working closely with leadership, you will influence product direction while maintaining high standards for performance, scalability, and quality. The position offers a fully remote, collaborative, and fast-paced environment, emphasizing autonomy, creativity, and impact. Your work will directly affect the discovery and engagement of millions of users, shaping how people explore, learn, and grow through the platform.

Accountabilities

• Design, implement, and iterate on large-scale ML systems powering the discovery feed and recommendation engine.
• Optimize recommendation algorithms to improve relevance, performance, and scalability of user experiences.
• Partner with leadership to align technical solutions with product vision and user growth goals.
• Conduct experiments, analyze data, and use insights to enhance ranking models and embeddings.
• Collaborate with cross-functional teams to ensure smooth integration of ML systems into production.
• Maintain high standards of code quality, system performance, and documentation.
• Explore and evaluate emerging technologies and ML approaches to continuously improve discovery capabilities.

Requirements

• 5+ years of software engineering experience, with at least 2+ years focused on machine learning, data, or recommendation systems.
• Experience building or scaling large-scale consumer-facing feeds or ranking systems.
• Strong backend and data engineering skills, including system design and productionizing ML models.
• Deep understanding of recommendation dynamics, consumer app behavior, and product/market fit.
• Ability to work autonomously in a fast-paced, dynamic environment and navigate ambiguity.
• Strong analytical, problem-solving, and experimentation skills.
• Excellent communication skills in English (CEFR Level C2 / ILR Level 5).
• Passion for building technology that positively impacts millions of users.

Benefits

• Competitive salary: $170,000 - $200,000 USD per year, with annual review and potential increases.
• Equity compensation opportunities and performance-based bonuses.
• Fully remote work with autonomy and trust to manage outcomes.
• 35 days of PTO annually, plus paid sabbatical after 5 years.
• Comprehensive medical coverage or reimbursement options for you and your family.
• Parental leave for new parents or expanding families.
• Home office stipend for remote work setup.
• Learning & development stipend to enhance professional skills.
• Twice-yearly fully paid company retreats in exceptional locations around the world.

Why Apply Through Jobgether?

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!

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.