Senior Machine Learning Engineer

Remote United States

Relativity

Organizations around the globe use Relativity's secure, end-to-end legal software for their biggest data challenges.

View company page

Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?
About AI at RelativityIn 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.
About the Machine Learning Engineering RoleThe Machine Learning Engineer will work with the data scientists and product teams within the AI group to create machine learning solutions at scale. You will help 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. You will report to the Manager of Software Engineering.

Your Role in Action

  • Work with our data scientists, product managers, and engineering teams to bring ideas from proof of concept to scaled solution.
  • Manage 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 with 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.

Your Skills

  • Experience supporting the lifecycle of machine learning application from development to production including testing and monitoring those models pre and post-launch.
  • Experience training and deploying machine learning models
  • Experience working 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.
Relativity is a diverse workplace 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.
Benefit Highlights:Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per yearUnlimited time off Long-term incentive program Training investment program
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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs Big Data Distributed Systems Engineering Machine Learning ML models Python Scala Testing

Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave

Regions: Remote/Anywhere North America
Country: United States
Job stats:  17  1  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.