Machine Learning Engineer - Enterprise

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.ResponsibilitiesDeliver solutions end to end that meet the needs of our customers - understanding user pain points, scoping product specs, and designing and building LLM-powered softwareBenchmark the model, and help write evals for customers to identify model weaknessesDevelop and deploy modern search systems (e.g., RAG, DeepSearch) to enhance model performance, grounding, and the ability to utilize enterprise-specific knowledgeImplement and optimize techniques for fine-tuning and align large models on domain-specific dataEnsure the quality, reliability, security, and scalability of models and agentic systems through meticulous attention to detail, diligent execution, and continuous monitoring in demanding enterprise settingsIntegrate individual AI components into a scalable platformQualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experienceStrong contribution record on GitHub. Please include your GitHub link in your applicationExperience working with large language or multimodal models and their applicationsExperience implementing and working with search systemsProven ability to pay close attention to detail and prioritize quality, reliability, and security in technical workProficiency 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 automationBonus PointsExperience developing or contributing to agentic AI products or systemsExperience with cloud platforms (AWS, GCP, Azure) and MLOps practicesFamiliarity with distributed training and inference techniquesExperience with system design, API development, and building scalable infrastructure for deploying and managing AI models or agentic systemsUnderstanding of enterprise software integration patterns and data security considerationsSolid understanding of HTTP protocol and real-time communication protocols (e.g., WebRTC) for voice AI. Excellent problem solving skillsAbility to work independently and drive projects forward in a fast-paced environmentWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.