Machine Learning Engineer - Enterprise
Toronto
- Pay
CAD 150,000–400,000/year — pay source
Salary 150,000 – 400,000 CAD per year Employment type
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingDeliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software.
Develop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledge.
Implement and optimize techniques for fine-tuning and align large models on domain-specific data.
From the employer’s posting
Responsibilities Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software. Benchmark the model, and help write evals for customers to identify model weaknesses.
Benchmark the model, and help write evals for customers to identify model weaknesses. Develop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledge. Implement and optimize techniques for fine-tuning and align large models on domain-specific data.
Develop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledge. Implement and optimize techniques for fine-tuning and align large models on domain-specific data. Ensure the quality, reliability, security, and scalability of models and agentic systems through meticulous attention to detail, diligent execution, and continuous monitoring in demanding enterprise settings.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
- Experience developing or contributing to agentic AI products or systems.
- Experience working with large language or multimodal models and their applications.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Experience implementing and working with search systems.
- Familiarity with distributed training and inference techniques.
Qualification wording
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
Experience developing or contributing to agentic AI products or systems.
Experience working with large language or multimodal models and their applications.
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
Experience implementing and working with search systems.
Familiarity with distributed training and inference techniques.
Tools in this posting
- Go
- Python
- Rust
- TypeScript
- AWS
- Azure
- Google Cloud (GCP)
- PyTorch
Source — Tool mentions in context
- Proven ability to pay close attention to detail and prioritize quality, reliability, and security in technical work. - Proficiency in programming languages (e.g., Python, Rust, TypeScript or Go) and relevant ML frameworks (e.g., PyTorch, JAX). - Demonstrated ability to design, chain, or orchestrate multiple models (especially LLMs) to create multi-step pipelines or workflows for task automation.
- Experience developing or contributing to agentic AI products or systems. - Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices. - Familiarity with distributed training and inference techniques.
Job description
About Boson AI: At Boson AI, we are not just building AI solutions; we are pioneering the future of enterprise AI. Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large language models and agentic systems, our mission is to tackle the most complex real-world problems for businesses and unlock significant value. We are a dynamic and collaborative team of researchers and engineers who thrive on pushing the boundaries of what's possible, dedicated to delivering high-quality, reliable products that seamlessly integrate into the fabric of enterprise workflows and set new industry standards.
About the Role: We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team. In this pivotal role, you will be at the forefront of developing and deploying groundbreaking AI solutions. This involves integrating advanced language/voice/vision models, mastering fine-tuning techniques, building sophisticated workflows and platforms, and pioneering innovative agentic approaches. You will immerse yourself in challenging problems that demand a deep understanding of model behavior, meticulous implementation, and an unwavering commitment to quality and reliability in enterprise environments. A key and exciting aspect of this role is contributing to the architecture and implementation of intelligent systems where AI agents can perform complex tasks autonomously, interacting with diverse data sources and tools, as we collectively move towards building truly cohesive and powerful AI capabilities for our clients.
Responsibilities
- Deliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered software.
- Benchmark the model, and help write evals for customers to identify model weaknesses.
- Develop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledge.
- Implement and optimize techniques for fine-tuning and align large models on domain-specific data.
- Ensure the quality, reliability, security, and scalability of models and agentic systems through meticulous attention to detail, diligent execution, and continuous monitoring in demanding enterprise settings.
- Integrate individual AI components into a scalable platform.
Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
- Strong contribution record on GitHub. Please include your GitHub link in your application.
- Experience working with large language or multimodal models and their applications.
- Experience implementing and working with search systems.
- Proven ability to pay close attention to detail and prioritize quality, reliability, and security in technical work.
- Proficiency in programming languages (e.g., Python, Rust, TypeScript or Go) and relevant ML frameworks (e.g., PyTorch, JAX).
- Demonstrated ability to design, chain, or orchestrate multiple models (especially LLMs) to create multi-step pipelines or workflows for task automation.
Bonus Points
- Experience developing or contributing to agentic AI products or systems.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Familiarity with distributed training and inference techniques.
- Experience with system design, API development, and building scalable infrastructure for deploying and managing AI models or agentic systems.
- Understanding of enterprise software integration patterns and data security considerations.
- Solid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC) for voice AI.
- Excellent problem solving skills.
- Ability to work independently and drive projects forward in a fast-paced environment
Salary
150,000 – 400,000 CAD per year
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
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- Pay
Salary 150,000 – 400,000 CAD per year Employment type
- Location & working pattern
Toronto
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Apr 15, 2026
- Recorded sightings
- 99
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Jun 18, 2025
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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