GenAI Research Scientist- Multimodal and Computer Vision

Key Skills

Aartificial intelligence, Computer Vision (CV), Generative AI, Large Language Models - LLMs, Machine learning techniques

Job Description

As a Research Scientist on the Mosaic AI Team at Databricks, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

Specific to this role, you will build on and enhance our existing text+image capabilities by implementing and training new models, bringing in new techniques for higher quality and more efficient training, incorporating additional datasets, and adding new evaluation methods. You will study the latest techniques in these areas, improve upon them to meet our needs, and generalize them to meet the needs of our customers.

You might be a good fit if you…

• Are comfortable working with large-scale computer vision models.
• Have solid ML and/or software engineering and scientific research skills.
• Have produced novel research related to training neural networks for computer vision, image/video generation, vision+text understanding, or similar.
• Have specialized expertise in core computer vision tasks, image/video generation, image captioning, multimodal LLMs, etc.
• Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology.
• Have strong communication skills and a desire to work on a small, fast-paced team.

A PhD is NOT required for this role. We are open to hiring candidates with bachelor's and master's degrees and to new graduates. We are open to hiring candidates who are currently in research engineer roles at other companies.

Your Responsibilities

• Keeping up to date with the research literature and thinking beyond the state of the art to address the needs of our users.
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety.
• Rigorously evaluating these methods, communicating the results of your findings, and putting those that are useful into production.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.