Machine Learning Researcher, Applied LLMs

<h3>📋 Description</h3> • Hop Labs works with organizations to build and deploy machine learning production systems at scale. • Our clients range from startups to Fortune 10. • Projects can vary widely – from greenfield LLM generative AI products to autonomous vehicle R&D to building bespoke evaluation frameworks. • We are a fully distributed company, working remotely across the United States. • While our projects often involve Python, PyTorch, and AWS, we are always ready to use the right tool for the job. • 100% remote, primarily based in the U.S. • 10-15 team members, depending on our project mix at any given time. • Exclusively focused on technical consulting around production-scale machine learning. • Results-oriented work environment with a lot of flexibility -- we value life outside of work. <h3>🎯 Requirements</h3> • We’re looking to hire a Machine Learning Researcher with experience applying LLMs to solve real problems. • Stay up-to-date with the latest literature and advancements in machine learning for LLMs. • Break down complex problems into smaller, tractable components and develop feasible solutions. • Conduct rigorous experiments using a scientific approach. • Focus on thorough evaluation and iterative improvement. • You should consider yourself a good fit for this if: • You have significant experience with conducting machine learning research and working with LLMs. • You enjoy solving research-grade problems at scale, for real business impact. • You demonstrate a solid understanding of the latest AI/ML research trends and techniques. • You understand that clarity and simplicity -- in code and in communication -- are worth striving for. • As a distributed team, some key qualities are particularly important for all of us at Hop Labs: • A strong sense of ownership and initiative. • Clear and consistent communication. • A collaborative mindset. • Clear thinking and attention to detail for complex projects. • Comfort with operating independently as well as part of a small, targeted team. <h3>🏖️ Benefits</h3> • Medical, dental, and vision benefits • Life and disability insurance • Paid holidays and vacation time • Flexible work schedules