We’re excited to announce that Databricks was named one of many 2024 Fortune Finest Workplaces in Know-how™. This award displays our dedication to creating an surroundings the place Bricksters can thrive and innovate whereas serving to information groups resolve the world’s hardest issues. Rooted in our origins on the UC Berkeley AMP Analysis Lab, Databricks is devoted to cultivating an open and clear tradition, driving the following era of knowledge intelligence, and shaping the way forward for information and AI.
The Finest Workplaces in Know-how listing is extremely aggressive. Nice Place To Work, the worldwide authority on office tradition, conducts America’s largest ongoing annual workforce examine, based mostly on over 1.3 million survey responses and information from corporations representing greater than 8.2 million workers this 12 months alone.
Don’t simply take their phrase for it. Hear straight from the Bricksters who make Databricks a Finest Office in Know-how.
A Tradition of Knowledge-Pushed Engineering
Shoumik Palkar, Sr. Employees Software program Engineer
I work at Databricks as we speak for a similar causes I joined the corporate practically 5 years in the past: the breadth of expertise throughout the engineering group, the breakneck tempo of innovation and studying, and the deep worth positioned on utilizing data-driven choices to make our product higher for our clients. The three are intrinsically related, with the fountainhead being the energy of the engineering crew. Our engineers—who convey a long time of expertise from the world’s largest information programs of their previous lives—function in an area the place “cutting-edge” evolves week-over-week and steady studying turns into a necessity, whether or not it’s by maintaining with the most recent educational convention proceedings or by way of cross-team collaborations to seek out novel options.
Nonetheless, instinct and studying should not sufficient. On the heart of every determination at Databricks is the information itself. Knowledge is the nice equalizer, offering a unified language that enables us to push for innovation throughout the product with confidence. These elements make Databricks an extremely rewarding place to work, each by fostering private development by way of mentorship by world-class consultants and by enabling people in any respect ranges to ship buyer worth by letting the information resolve.
Analysis-Pushed Tasks
Jonathan Ellithorpe, Employees Software program Engineer
Databricks’ first-principles method to engineering empowers me to dig deep and resolve issues at their core. On my crew we construct the basic distributed programs “constructing blocks” that assist providers to function effectively and reliably at scale, together with high-performance storage, distributed caching, low-latency cache invalidation, and dynamic sharding and cargo balancing. We additionally work carefully with groups throughout the corporate to get deep into their code and architectures to uncover frequent patterns and establish the place new abstractions are wanted. Due to Databricks’ data-driven and extremely collaborative tradition, it’s simple for us to take a research-style method to our work the place we favor early experimentation and measurement to check hypotheses and leverage prototyping and a build-then-iterate course of to innovate rapidly.
In addition to addressing challenges in our infrastructure utilizing a first-principles mindset, steady studying {and professional} development can be a key a part of my expertise at Databricks. With the corporate’s educational roots and dedication to publishing repeatedly, I’m continually inspired not solely to broaden my data and abilities but additionally to be a part of the bigger educational group. For instance, Databricks has sponsored my attendance at OSDI annually since I joined, which has been important for me to remain related to the group and hold abreast of the most recent within the area, together with in essential new areas such because the intersection of ML and programs. Publishing can be extremely inspired, and this 12 months we submitted a place paper on high-performance in-memory stateful providers, showing at HPTS 2024.
In my view, the mix of a first-principles-based method to engineering, a data-driven tradition, and an emphasis on steady private development and growth signifies that at Databricks, there’s actually no restrict to what you are able to do.
Distinctive and Vibrant Tradition
Tao Tao, Director, Engineering
Databricks stands out with its distinctive energy of bringing collectively the perfect of the trade, the open supply group, and educational analysis. We created a complete new customary of “good engineering” that’s visionary, elegant, and sensible. At our core, our inclusive and collaborative tradition fosters a seamless trade of concepts and experience throughout groups and disciplines.
This cross-team synergy is a core driver of our innovation. My current instance of this spirit is the event of our newest Lakehouse Collaboration product providing: Databricks Clear Rooms – a privacy-safe answer for safe information collaboration powered by Delta Sharing. This breakthrough emerged from the shut teamwork among the many trade consultants, partnership crew, belief and security specialists, and a number of engineering groups throughout the stack at Databricks. By harnessing various views and specialised data, the crew was in a position to design an answer that not solely addresses the present advanced challenges however can be future-proofing for upcoming AI workloads.
For individuals who search to hitch a dynamic and inclusive crew alongside world-class consultants and to make tangible impacts on the information and AI trade, Databricks gives an distinctive alternative.
A Accountable Strategy to AI
Jasmine Collins, Analysis Scientist, Mosaic AI
At Databricks, we prioritize the creation of secure and accountable AI programs that finest swimsuit buyer wants. A current instance of this dedication is the ImageAI mannequin, collectively skilled with Shutterstock for producing photographs tailor-made to enterprise use circumstances.
Not like most present picture era fashions skilled on arbitrary web-scraped photographs and captions, we took a extra accountable and punctiliously curated method. By coaching our mannequin from scratch on Shutterstock’s proprietary and vetted picture repository, the mannequin’s outputs should not solely commercially viable however could be trusted for a variety of functions. By utilizing a well-governed dataset, we make sure that the mannequin’s capabilities and limitations are clearly understood, making it extra appropriate for its supposed use circumstances in enterprise environments.
This method highlights our broader dedication to accountable AI growth throughout all of our initiatives. By prioritizing information high quality, investigating dataset bias, and guaranteeing transparency, we goal to create secure and dependable AI programs.
Construct the way forward for open supply AI-driven information intelligence. Be a part of us!
Be taught extra about profession alternatives at Databricks and see present job openings.