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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