Posted 17 months ago
Machine Learning Engineer - Enterprise
@ Boson AI
Toronto, Ontario
Overview
Boson AI is hiring a full-time Machine Learning Engineer for its enterprise team to build and deploy LLM-powered software, including search systems, fine-tuning and agentic AI. The work involves end-to-end delivery for customers, benchmarking models and writing evals.
Pay:
$150,000–$400,000 a year
Responsibilities:
- Design and build LLM-powered software end to end
- Develop and deploy RAG and DeepSearch systems
- Fine-tune and align large models on domain data
- Write evals and benchmark models for customers
- Integrate AI components into a scalable platform
Requirements summary:
- Bachelor's or Master's in CS, ML, AI or related field
- Experience with large language or multimodal models
- Experience implementing search systems
- Proficiency in Python, Rust, TypeScript or Go
- Experience with PyTorch or JAX
- Public GitHub contribution record
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2025-06-18
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-28
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (required) |
| Fields of study | Computer Science, Machine Learning, Artificial Intelligence |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Boson AI
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
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Full company description
We are transforming how stories are told, knowledge is learned, and insights are gathered.
- LinkedIn followers
- 10,022
- People associated on LinkedIn
- 38
- Reported office locations
- Santa Clara, CA 95054, US
- Toronto, CA
- Business categories
- Market Research
- Information Technology
- Artificial Intelligence (AI)
- Other recorded names
- Boson AI
- Specialties
- Artificial Intelligence and Machine Learning
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
We are transforming how stories are told, knowledge is learned, and insights are gathered.
| Field | Value |
|---|---|
| Industry | Research Services |
| Company size | 11-50 employees |
| Headquarters | Santa Clara, CA |
| Organization type | Privately Held |
| Year founded | 2023 |
| Specialties | Artificial Intelligence and Machine Learning |
| Open jobs on Jobsy | 4 |
| View page |
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.
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