Boson Ai

Develops scalable AI tools for enterprises

Machine Learning Engineer - Enterprise

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeToronto, ON, CanadaCA$150k - CA$400k /yrIn-person

About the Job

Requirements

A Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
A strong contribution record on GitHub; applicants should include their GitHub link in the application.
Experience working with large language or multimodal models and their applications.
Experience implementing and working with search systems.
Ability to pay close attention to detail and prioritize quality, reliability, and security in technical work.
Proficiency in programming languages such as Python, Rust, TypeScript, or Go, and relevant machine learning frameworks such as PyTorch or JAX.
Ability to design, chain, or orchestrate multiple models, especially large language models, to create multi-step pipelines or workflows for task automation.

Responsibilities

Deliver end-to-end solutions that meet customer needs by understanding user pain points, scoping product specifications, and designing and building large language model-powered software.
Benchmark models and help write evaluations for customers to identify model weaknesses.
Develop and deploy modern search systems, such as retrieval-augmented generation and DeepSearch, to enhance model performance, grounding, and use of enterprise-specific knowledge.
Implement and optimize techniques to fine-tune and align large models on domain-specific data.
Ensure the quality, reliability, security, and scalability of models and agentic systems through diligent execution and continuous monitoring in demanding enterprise settings.
Integrate individual artificial intelligence components into a scalable platform.

Desired Qualifications

Experience developing or contributing to agentic artificial intelligence products or systems.
Experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and MLOps practices.
Familiarity with distributed training and inference techniques.
Experience with system design, application programming interface development, and building scalable infrastructure for deploying and managing artificial intelligence models or agentic systems.
Understanding of enterprise software integration patterns and data security considerations.
Understanding of the HTTP protocol and real-time communication protocols such as WebRTC for voice artificial intelligence.

Salary Range: 150000 to 400000 (Currency: CAD) (Pay period: per-year-salary)

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

Boson AI uses artificial intelligence (AI) to help screen and assess applications for this position, and our team reviews the shortlisted candidates.

About the Company

Boson Ai

Develops scalable AI tools for enterprises

Boson AI develops large language model tools to power AI-driven experiences in virtual worlds. Its products understand and generate human-like text and are designed for wide use, from individuals to large enterprises. The tools work by combining advanced deep learning with system engineering to create customizable LLM-based applications that can be embedded into various software to personalize storytelling, learning, content creation, and data insights. Boson AI differentiates itself by focusing on tailored experiences in virtual environments across multiple industries, offering scalable solutions through product sales, subscriptions, and licensing. The company’s goal is to provide practical, personalized AI tools that enhance user interactions, storytelling, education, and business intelligence in virtual settings, becoming a leading provider in the AI market.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Santa Clara, CA
Founded: 2023

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