ML Researcher (Applied LLMs)
For more information about the company and the team, please check out our Careers page!
The Role
We’re looking to hire a Machine Learning Researcher with experience applying LLMs to solve real problems. Titles can be arbitrary, but for us, this means engaging deeply with complex problems as well as proposing and prototyping solutions. In this role, you will:
Stay up-to-date with the latest literature and advancements in machine learning for LLMs. We believe in the importance of continuous learning and applying cutting-edge techniques to solve real-world problems.
Break down complex problems into smaller, tractable components and develop feasible solutions.
Conduct rigorous experiments using a scientific approach. You will design and implement experiments, analyze results, and draw meaningful conclusions to guide the development of ML models.
Focus on thorough evaluation and iterative improvement. You will establish evaluation metrics, assess model performance, and iterate on model architectures and hyperparameters to achieve optimal results.
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, coupled with a commitment to continual learning and professional growth in these areas.
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: You take your task or issue seriously, and proactively drive it start-to-finish.
Clear and consistent communication: You can speak to non-technical stakeholders and engineers alike about issues, and keep teammates and clients informed on progress.
A collaborative mindset: You approach your work as part of a larger team effort and can take and give constructive feedback well.
Clear thinking and attention to detail for complex projects: You are committed to a crisp understanding of what you’re doing and why, paired with careful planning and attention to details.
Comfort with operating independently as well as part of a small, targeted team: You are flexible in working successfully in either context, in a fully remote environment.
Residency and authorization to work in the U.S. is required.
If this role sounds like a good fit for you, please reach out! We’ve made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.
The Process
If you’re excited to apply, we’re excited to hear from you! Please provide some initial information by answering a few questions here. Our team will respond with more information and next steps.
(If you are unable to complete the form linked above, please email us with your resume at hiring@hoplabs.com.)
BE AWARE OF SCAMS: Our team communicates with applicants only from a workablemail.com or hoplabs.com email address. Any similar email domains are fraudulent.