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Full-Time

GenAI Research Scientist

Updated on 10/24/2024

Databricks

Databricks

5,001-10,000 employees

Unified data platform for analytics and AI

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$150k - $190kAnnually

+ Annual Performance Bonus + Equity

Entry, Junior

San Francisco, CA, USA

Category
Deep Learning
Natural Language Processing (NLP)
AI & Machine Learning
Requirements
  • Are comfortable working with large-scale LLMs in the 10s to 100s of billions of parameters.
  • Have solid ML and RL software engineering and scientific research skills.
  • Have produced novel research related to fine-tuning LLMs or improving upon pre-trained LLMs.
  • Have specialized expertise in topics like fine-tuning, RLHF, LLM tool-use, etc.
  • Are passionate about getting your work into the hands of real users and - more broadly - democratizing access to modern AI technology.
  • Are motivated by working on LLM research that - contrary to the general trend in the field - will be disclosed to the public.
  • 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.
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.

Databricks provides a unified platform that combines data lakes and data warehouses, known as lakehouse architecture, allowing organizations to manage, analyze, and gain insights from their data effectively. The platform is designed for a variety of users, including data engineers, data scientists, and business analysts, and is applicable across multiple industries such as finance, healthcare, and technology. Databricks offers features like automated ETL processes, secure data sharing, and high-performance analytics, which help streamline data management and analysis. Additionally, it supports machine learning and AI workloads, enabling users to build and deploy models at scale. Unlike many competitors, Databricks operates on a subscription-based model, generating revenue through platform access and professional services. The company's goal is to empower organizations to leverage their data for better decision-making and insights.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

25%

2 year growth

80%
Simplify Jobs

Simplify's Take

What believers are saying

  • The $1 billion acquisition of Tabular is likely to enhance Databricks' data management capabilities and market reach.
  • The development and launch of the DBRX generative AI model, with a $10 million investment, underscores Databricks' dedication to leading in AI technology.
  • High-profile investments from figures like Nancy Pelosi indicate strong confidence in Databricks' growth potential.

What critics are saying

  • The integration of Tabular's team and technology could face challenges, potentially disrupting operations.
  • The competitive landscape in AI and data analytics is intense, with major players like Google and Microsoft posing significant threats.

What makes Databricks unique

  • Databricks' acquisition of Tabular, founded by the creators of Apache Iceberg, strengthens its position in the open lakehouse market.
  • The launch of DBRX, an open-source LLM that outperforms GPT-3.5 and Llama 2, showcases Databricks' commitment to cutting-edge AI innovation.
  • Strategic partnerships, such as with AVEVA for industrial AI, highlight Databricks' ability to integrate and enhance diverse technological ecosystems.

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Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave