Senior Machine Learning Engineer

Our company description Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software products. About the client :This organization is a technology company focused on applying conversational artificial intelligence to modernize customer service operations. Founded in 2017, it develops AI-driven solutions designed to manage routine customer interactions at scale, enabling human teams to focus on higher-value and more complex work. Its platform leverages advances in machine learning, natural language understanding, and automation to support efficient, consistent customer engagement across multiple channels. The company works primarily with enterprise organizations seeking to improve service quality, operational efficiency, and responsiveness through AI-powered automation . You are a senior machine learning engineer who wants to lead the exploration and applied use of large language models and generative AI in production environments. You'll translate emerging research into scalable, high-performing systems that improve user experiences, contribute to technical strategy, and foster a culture of innovation, ownership, and continuous growth. This job requires you to participate across the full development lifecycle, from experimentation and prototyping through deployment, while collaborating closely with engineering, product, and cross-functional partners to deliver ML-driven solutions aligned with business objectives What You’ll Bring: • 5+ years of experience building software involving ML infrastructure, tooling, or ML-powered products • Strong familiarity with the ML ecosystem (e.g., Python, PyTorch, vector search or retrieval syst • ems)Ability to operate effectively in ambiguous problem spaces and drive solutions with meaningful impact • Strong communication skills, technical curiosity, and a passion for high-quality engineering and team culture • A thoughtful, independent approach to solving complex problems, with interest in conversational systems and user experience Benefits • Remote-first culture with regular in-person offsites and team gatherings • Annual stipend for learning, conferences, and professional development • Flexible vacation policy, paid sabbatical after five years, and comprehensive health benefits • Competitive compensation and meaningful equity participation • Salary is $180K – $220K dependent on experience