This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Machine Learning Engineer I, AI Governance based in Canada.
Join a high-growth technology environment where you'll help shape the future of AI-powered governance, risk, and compliance solutions. In this role, you'll design and deploy advanced machine learning and large language model (LLM) applications that deliver intelligent, scalable, and secure product capabilities. Working closely with product managers, designers, and engineering teams, you'll transform cutting-edge AI research into production-ready features that solve real customer challenges. This position offers the opportunity to influence product strategy, experiment with emerging AI techniques, and contribute to innovative solutions in a collaborative, remote-first environment. If you're passionate about building reliable AI systems while continuously learning and driving technical excellence, this role offers an exciting opportunity to make a meaningful impact.
Accountabilities:
- Design, develop, deploy, and maintain end-to-end machine learning and AI-powered product features with a focus on quality, scalability, and performance.
- Build intelligent applications using modern AI techniques such as Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, semantic search, few-shot learning, and other LLM-based approaches.
- Collaborate closely with cross-functional teams including product management, design, and engineering to deliver customer-focused solutions.
- Write clean, maintainable, and well-tested production code while creating clear technical documentation and architectural designs.
- Troubleshoot software issues, optimize model performance, and continuously improve reliability and maintainability.
- Stay informed on emerging AI and machine learning technologies, evaluating new tools and methodologies for future product enhancements.
- Contribute to Agile development processes while working with technologies such as Python, JavaScript, Node.js, Docker, PostgreSQL, Kubernetes, and related platforms.
Requirements
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related technical discipline.
- 4+ years of experience designing, developing, and deploying production machine learning solutions.
- Strong expertise in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, MXNet, or scikit-learn.
- Practical experience with both traditional machine learning techniques and modern LLM technologies, including prompt engineering, RAG, semantic search, and model fine-tuning.
- Ability to write scalable, production-quality software with strong software engineering best practices.
- Familiarity with search, information retrieval, ranking systems, and AI evaluation methodologies.
- Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively across teams.
- Experience with SaaS applications, Node.js, TypeScript, Docker, Kubernetes, distributed systems, or cloud platforms such as AWS or Azure is considered an advantage.
- Curiosity, adaptability, and a continuous learning mindset with a passion for building customer-focused AI solutions.
Benefits
- Competitive salary and performance-based bonus opportunities.
- Comprehensive medical, dental, and vision healthcare coverage.
- 401(k) retirement plan with company matching.
- Flexible vacation policy, plus paid time off for birthdays and volunteering.
- Monthly lifestyle and wellness stipend.
- Paid parental leave.
- Employee Resource Groups and collaborative company events.
- Fully remote work opportunity within the United States.
- Career growth opportunities in a rapidly expanding SaaS organization focused on AI innovation.
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