Make more Creative Job Post Content< GenAI Research Scientist
- Responsibilities:
Location: Remote or On-Site Options Available
Compensation: $150,000—$190,000 (base salary) + performance bonus, equity, and benefits
Transform AI with Databricks and Mosaic AI
At Databricks, we are obsessed with helping data teams solve the world’s most challenging problems—from detecting security threats to accelerating cancer drug development. Powered by the industry’s best data and AI platform, our tools empower customers to focus on their missions while we drive their success.
Mosaic AI, a cornerstone of Databricks, is dedicated to enabling companies to harness the power of AI. From pre-training LLMs to innovative retrieval-augmented generation techniques, Mosaic AI redefines how businesses leverage data to create high-quality AI systems. We believe a company’s AI is as valuable as its core intellectual property—and that modern AI should be accessible to all.
If you’re passionate about advancing the field of Generative AI and want to work on cutting-edge technologies that make a tangible impact, we’d love to hear from you!
About the Role
As a GenAI Research Scientist on our team, you’ll be at the forefront of AI innovation. You will push the boundaries of what’s possible with large-scale language models (LLMs) and help encode groundbreaking science into our platform.
What You’ll Do
- Innovate: Stay ahead of the curve by tracking and advancing the latest research in deep learning.
- Develop & Deploy: Build state-of-the-art methods that enhance model reliability, safety, and performance—then rigorously evaluate and implement them into production.
- Collaborate: Join a team of world-class researchers and engineers to deliver solutions that empower real users.
- Share Knowledge: Focus on research that will be shared publicly, democratizing access to modern AI advancements.
- Customer Impact: Ensure that your research directly benefits customers training large models, creating immense business value.
Why You’ll Love This Role
You’re a great fit if you:
- Live for LLMs: Comfortable working with models with tens to hundreds of billions of parameters.
- Engineer & Research: Strong ML and RL software engineering skills combined with experience conducting and publishing novel research.
- Specialize in GenAI: Expertise in areas like fine-tuning, RLHF, LLM tool-use, or pre-training advancements.
- Care About Impact: Passionate about making AI accessible to users at scale and solving real-world problems.
- Love Open Collaboration: Thrive in fast-paced, small teams that value transparency and cross-functional collaboration.
What You Bring
Minimum Qualifications:
- Background in AI/ML: A strong understanding of machine learning concepts and real-world applications.
- Research Experience: Track record of publishing novel methods in areas like fine-tuning, RLHF, or LLM optimization.
- Technical Skills: Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow) and coding languages like Python.
- Communication: Exceptional ability to present and explain technical research to diverse audiences.
Preferred Qualifications:
- Experience improving or fine-tuning pre-trained LLMs.
- Interest in building AI that prioritizes safety, reliability, and usability.
- A strong desire to publicly share research innovations that advance the field.
A PhD is not required. We welcome candidates with bachelor's or master's degrees and encourage those with "research engineer" experience to apply.
Why Databricks?
Benefits & Perks:
- Competitive salary + bonus + equity options
- Comprehensive medical, dental, and vision coverage
- Unlimited paid time off and generous parental leave policies
- Professional development opportunities and employee resource groups
- Flexible working arrangements (remote or on-site)
- Collaborative, inclusive, and innovative work culture
Join Our Mission:
At Databricks, we don’t just build AI—we enable businesses to unlock its full potential. Our tools are used by over 10,000 organizations worldwide, including Fortune 500 companies like Grammarly, Comcast, and Condé Nast.
Diversity & Inclusion at Databricks
We are committed to fostering a diverse and inclusive workplace where everyone can thrive. We value unique perspectives and experiences and strive to ensure our hiring practices reflect this commitment.
