Full-Time
Machine Learning Engineer
Enterprise
Boson Ai
11-50 employees
Develops scalable AI tools for enterprises
Compensation Overview
CA$150k - CA$400k/yr
Toronto, ON, Canada
In Person
 AI & Machine Learning (2) |
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- 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.
- 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.
- 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 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
N/A
Total Funding
N/A
Headquarters
Santa Clara, California
Founded
2023
Simplify's Take
What believers are saying
- Dual Santa Clara-Toronto offices tap Silicon Valley and Canadian AI ecosystems.
- Agentic platform with continuous learning meets enterprise workflow demands.
- Roleplay agents target underserved interactive customer service market.
What critics are saying
- Li Mu rejects Boson AI, blocking top AI talent recruitment in 3-6 months.
- Anthropic's Claude 4 beats roleplay benchmarks, eroding differentiation in 6-12 months.
- OpenAI's cheaper agentic platform captures clients, slashing $2.2M revenue in 12-18 months.
What makes Boson Ai unique
- Higgs-Audio v3 STT excels in 94 languages for global roleplay agents.
- Proprietary data annotation pipelines create defensible moat against competitors.
- Founder Alex Smola's 30 years in ML drives multimodal AI innovation.
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Benefits
Flexible Work Hours