cover image
Boson AI

Boson AI

boson.ai

3 Jobs

27 Employees

About the Company

We are transforming how stories are told, knowledge is learned, and insights are gathered.

Listed Jobs

Company background Company brand
Company Name
Boson AI
Job Title
High Performance Computing Engineer
Job Description
Toronto, Canada
Hybrid
15-10-2025
Company background Company brand
Company Name
Boson AI
Job Title
Machine Learning Engineer - Enterprise
Job Description
**Job title:** Machine Learning Engineer – Enterprise **Role Summary:** Design, develop, and deploy large‑scale language, vision, and voice models for enterprise applications. Build end‑to‑end solutions that integrate LLMs, multimodal models, and advanced retrieval systems into scalable platforms, enabling autonomous agentic workflows that interact with diverse data sources and enterprise tools. **Expectations:** - Deliver high‑quality, reliable AI systems that meet customer requirements and industry security standards. - Continuously benchmark and evaluate models, refine fine‑tuning strategies, and enhance performance through search and retrieval augmentation. - Own the full software lifecycle: specification, implementation, testing, deployment, and monitoring in production environments. - Collaborate cross‑functionally to translate business problems into technical solutions. **Key Responsibilities:** 1. Scope product specifications and architect LLM‑powered software for customer use cases. 2. Benchmark models, develop evaluation metrics, and identify weaknesses. 3. Design and deploy retrieval systems (e.g., RAG, DeepSearch) to ground LLM outputs and leverage enterprise knowledge bases. 4. Fine‑tune and align large models on domain‑specific data; optimize inference pipelines. 5. Ensure model quality, reliability, security, and scalability through rigorous testing and monitoring. 6. Integrate AI components into a unified, scalable platform with robust APIs. 7. Document architecture, code, and operational procedures. **Required Skills:** - Proficiency in Python; experience with Rust, TypeScript, or Go is a plus. - Deep knowledge of ML frameworks such as PyTorch or JAX. - Hands‑on experience with large language or multimodal models and their deployment. - Proven ability to build and optimize retrieval/search pipelines. - Strong GitHub portfolio demonstrating implementation of ML solutions. - Attention to detail in coding, testing, and security. - Familiarity with orchestration of multi‑step pipelines and workflow automation. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience. - Relevant certifications in ML, data engineering, or cloud platforms are advantageous but not mandatory.
Toronto, Canada
On site
19-11-2025
Company background Company brand
Company Name
Boson AI
Job Title
Member of Technical Staff, Evaluation
Job Description
Job Title: Member of Technical Staff, Evaluation Role Summary: Design, implement, and run evaluation pipelines for large language models, analyze model behavior, and provide insights to guide model development and data annotation. Expectations: Demonstrate strong machine learning background, ability to work on high‑impact generative AI projects, and motivation to learn and contribute to foundation model research. Key Responsibilities: • Design and execute experiments to assess model capabilities • Develop efficient, clean code for evaluation workflows • Analyze and visualize results, summarize findings for cross‑functional teams • Collaborate with model training and data annotation teams to refine model performance and alignment with human values Required Skills: • Experience with prompt engineering or similar LLM interaction techniques • Proficiency in data analysis, processing, and visualization tools • Familiarity with at least one deep learning framework (e.g., PyTorch) • Ability to solve ambiguous problems creatively and communicate results clearly • Prior research or project experience in model evaluation, fine‑tuning large language or multimodal models (preferred) Required Education & Certifications: • Bachelor’s or advanced degree in Computer Science, Machine Learning, Statistics, or related field (PhD preferred for strong research track record)
Santa clara, United states
On site
20-11-2025