Machine Learning Researcher (Applied LLMs) - Join Hop Labs

Hop Labs partners with organizations globally to create and implement machine learning production systems at scale. Our clients range from innovative startups to top Fortune 10 companies, and our project portfolio is as diverse as it is challenging — from greenfield LLM generative AI products to autonomous vehicle R&D and custom evaluation frameworks.

About Hop Labs

We are a fully remote company, primarily operating across the United States. Flexibility and results are at the core of our work culture, valuing life outside of work. While our projects commonly involve Python, PyTorch, and AWS, we pride ourselves on being adaptable and using the best tools for the task at hand.

Key Facts

• 100% remote work environment
• U.S.-based team of 10-15 members
• Specializing in technical consulting for production-scale machine learning
• Results-driven with a flexible work schedule

To learn more about us and our team, please visit our website. Please note, we do not engage with staffing agencies or C2C, and we currently cannot provide visa sponsorship.

Role: Machine Learning Researcher (Applied LLMs)

We are seeking a Machine Learning Researcher with hands-on experience in applying Large Language Models (LLMs) to solve real-world problems. This role is pivotal in engaging deeply with complex problems and creating prototypical solutions. Here’s what you’ll be doing:

• Staying current with the latest machine learning literature and advancements in LLMs.
• Breaking down complex problems into smaller, manageable components and developing practical solutions.
• Designing and implementing rigorous scientific experiments, analyzing results, and drawing meaningful conclusions to guide ML model development.
• Establishing evaluation metrics, assessing model performance, and iterating on model architectures and hyperparameters to achieve optimal outcomes.

Ideal Candidate

You could be a great fit for this role if you:

• Have significant experience in machine learning research and working with LLMs.
• Thrive on solving research-grade problems at scale for real business impact.
• Are well-versed in the latest AI/ML research trends and techniques, and committed to continual learning and professional growth.
• Believe in clarity and simplicity in both code and communication.

Essential Qualities

As a distributed team, we value:

• Ownership and Initiative: You take your tasks seriously and drive them to completion.
• Clear Communication: You can communicate effectively with both non-technical stakeholders and engineers, keeping everyone informed on progress.
• Collaborative Mindset: You work well within a team and are open to giving and receiving constructive feedback.
• Attention to Detail: You have a keen eye for detail and clear thinking, ensuring careful planning and execution of complex projects.
• Independent and Team Work: You can operate successfully both independently and as part of a small, focused team in a remote setting.

Residency and authorization to work in the U.S. or Canada are required.

Benefits

At Hop Labs, we offer our employees:

• Medical benefits
• Life and disability insurance
• Paid holidays and vacation time
• Flexible work schedules

If this role sounds like a great fit for you, we encourage you to apply! Our hiring process is designed to be low-pressure, skills-focused, and accommodating to your other life commitments.

Company Name: Hop Labs

Job Title: Machine Learning Researcher (Applied LLMs)