Bosonai
Machine Learning Engineer - Enterprise
Toronto
Sponsorship not specifiedCAD 150k-CAD 400kDetected 399 days ago
TypeScriptPythonGoRustGitAWSGCPAzureCloud PlatformsAPI DevelopmentMachine LearningPyTorchLLMsRAGAgentic AIMLOpsVoIPResearchCommunicationProblem Solving
About the role
- We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our enterprise team.
- 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.
- Benchmark the model, and help write evals for customers to identify model weaknesses.
Responsibilities
- 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.
Requirements
- 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).
- 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.
- 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.
- 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.
- 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.
Skills
- Excellent problem solving skills.
Compensation
- CAD 150k-CAD 400k
Benefits
- This involves integrating advanced language/voice/vision models, mastering fine-tuning techniques, building sophisticated workflows and platforms, and pioneering innovative agentic approaches.
Company info
- 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.
- 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.
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