ML Engineer-AI

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.  
About AI at Relativity In the past two years, billions of documents have already benefited from the insights of Relativity AI – and we are just getting started on our journey to use AI to improve each user experience, product, matter, and investigation at Relativity.  We are focused on helping our users discover the truth more quickly, and act on data with confidence. 
About Data Science at Relativity 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 always protected, and we are investing heavily in data pipeline and data lake technology moving forward.  On top of the great data, we are building best in class machine algorithms to provide insights to our customers. If you’re looking for a data rich environment with at-scale challenge and a ton of innovation and experimentation ahead, you will find yourself at home on the AI teams within Relativity.  About the Machine Learning Engineering Role  The Machine Learning Engineer will work closely with the data scientists and product teams within the AI group to deliver machine learning solutions at scale. You will help own and build a machine learning platform to support our team and across the company and ingest and train on real-time and batch data at petabyte scale.   Within the AI group you will help train the next batch of ML engineers and provide an organization wide lift.  You’ll enjoy your time doing hands-on creation, but also love empowering others via mentorship and coaching. 

Responsibilities

• Collaborate with our data scientists, product managers, and engineering teams to bring ideas from proof of concept to scaled solution.  
• Own and facilitate design decisions related to bringing machine learning algorithms to production using best practices in the industry. 
• Prove out the use of new technology via compelling proof of concepts and demonstration.  
• Run machine learning tests and experiments 
• Contribute to our technical investments roadmap and help prioritize tech debt and architecture investments. 
• Mentor talent within the AI group to promote career development. 

Minimum Qualifications

• Experience in supporting the lifecycle of machine learning application from development to production including testing and monitoring those models pre and post launch. 
• Experience in training and deploying machine learning models 
• Experience collaborating with data science teams with conceptual knowledge on data science project lifecycles and techniques. 
• Experience designing APIs, service-oriented architectures, cloud based distributed systems, and big data systems. 
• Fluent in programming languages suitable to implement big data and machine learning solutions. Ex: Python, Scala. 
• Experience with product / tool / vendor evaluation and selection. 
• Excellent communication skills. 

Preferred Qualifications

• Experience in supporting Machine Learning applications at large scale. 
• Experience in unstructured data sets. 
• Experience in search algorithms. 
• Proven leadership skills and track record of delivering complex technical solutions. 
• Experience creating batch and stream processing leveraging technologies like Apache Spark, Apache Flink, Kafka, data pipelines, blob storage, distributed file systems, big data storage formats, SQL, no SQL, 
• Experience in Kubernetes and cloud native solutions 
• Experience with AWS, Google Cloud, or Azure data infrastructure and tooling. 
• Experience in C/C++/Fortran/CUDA is a nice-to-have.

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.