Machine Learning Engineer - Enterprise

Boson AI; Toronto; On-site; CAD 150,000 - 400,000; Full time

Job summary

Boson AI is seeking a passionate Machine Learning Engineer to lead AI solution development. This role involves deploying advanced models and ensuring high-quality systems within a collaborative team, all aimed at solving complex real-world business problems.

Qualifications

• Strong contribution record on GitHub required.
• Experience with large language or multimodal models requested.
• Demonstrated ability to design multi-step pipelines or workflows.

Responsibilities

• Deliver end-to-end solutions meeting customer needs.
• Benchmark models and write evaluations for identifying weaknesses.
• Integrate AI components into scalable platforms.

Skills

Attention to Detail

Problem Solving

Education

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field

Tools

Python

Rust

TypeScript

Go

PyTorch

JAX

Job description

This range is provided by Boson AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$150,000.00/yr - CA$400,000.00/yr

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
  
  
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitality, Food and Beverage Services, and Retail

Referrals increase your chances of interviewing at Boson AI by 2x

Get notified about new Machine Learning Engineer jobs in Toronto, Ontario, Canada.

Data Scientist, Decisions - New Product Development

Data Scientist, Algorithms, Real-Time Supply Management

Software Engineer, Backend (All Levels / All Teams)

Machine Learning, Optimization. Remote or Hybrid

Software Engineer I, Entry Level (Fall 2024-Spring 2025) - Toronto

Applied Machine Learning Scientist (Early Career)

Graduate 2025 Software Engineer I, Canada

Data Scientist, Causal Inference - New Product Development

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.