Machine Learning Engineer - Enterprise

Job Title: Machine Learning Engineer - Enterprise Company: Boson AI Job Category: Machine Learning Roles & Responsibilities: 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: Toronto, Ontario, Canada Availability: Full time

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 Key Skills: Machine Learning, Python, PyTorch Salary: CAD 150000 - 400000 per yearly