We are Relativity. A market-leading, global tech company that equips legal and compliance professionals with a powerful platform to organize data, discover the truth, and act on it. The US Department of Justice, 199 of the Am Law 200, and more than 329,000 enabled users trust Relativity during litigation, internal investigations, and compliance projects.
Our SaaS product, RelativityOne, has become the fastest-growing product in the company’s history and we have consistently been named a great workplace. As we grow, we continue to seek individuals that will bring their whole, authentic self to our team.
We believe that great talent is not bound by geography and that what you do matters more than where you do it. Relativity has assumed a hybrid work strategy, allowing choice and flexibility for employees to work either from home, a physical Relativity office location (once safe to do so), or a combination of the two, within certain logistical boundaries. Submit your application to learn more from our recruiters or contact us for more details.
Relativity’s scale and breadth create tremendous variety for rich data exploration and insights; our market position and scaled products mean our latest and greatest models and insights can quickly be in the hands of our users. Great insights can’t happen without great data, and the best insights come from massive data. Our data infrastructure and engineering ensure that the breadth of Relativity data is available for insights, confidential data is kept confidential, and data is protected at all times, and we are investing heavily in data pipeline and data lake technology moving forward. If you’re looking for a data rich environment that is already heavily using AI, with at-scale challenge and a ton of new innovation and experimentation ahead, you will find yourself at home on the AI data science team within Relativity. The team is small but growing fast; you’ll have a huge impact in shaping the culture, best practices, and vision of how machine learning and AI are utilized at Relativity. You’ll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis. We seek collaborative builders who want to move fast and love a challenge.
The Senior Data Scientist will develop machine-learning-driven products for the eDiscovery and Financial Compliance industries in close collaboration with product leaders and engineers. You will use your experience in NLP to build models that help legal and compliance professionals organize data, discover the truth, and act on it. Relativity is investing heavily in AI — you will have an opportunity to shape the culture, best practices, and vision of how machine learning and AI are utilized at Relativity. Relativity is also the market leader in eDiscovery. Products you build will shape the future of global justice. You will have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for empowering our customers, such as Dask, Spark, PyTorch, TensorFlow, SpaCy or AllenNLP.
At Relativity, we live our core values and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service, and we’re always looking for people to join us on the journey.
Relativity is a team of smart, passionate people always looking to grow, contribute, and make our product and customer service the best it can be. Our team members come from diverse backgrounds with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they’re empowered to be their full, authentic selves, regardless how you identify.
So, please come as you are. We can’t wait to meet you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.