Lead ML Ops Engineer
Relativity | |
United States, Washington, Seattle | |
Dec 03, 2024 | |
Posting Type Hybrid Job Overview 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 with confidence. We are focused on algorithm excellence, to provide the most robust and trusted experience possible. We are creating a world class toolset tosolve complexchallenges quickly and iteratively. AI will be leveraged everywhere, in all stages of the discovery process to better manage cases and to optimize product operations. As a team, we believe in exploration, experimentation, and bringing your curiosity to work every day. We know that you can't innovate without experimentation - and a little failure happens on the path to invention. We use the latest and greatest to ensure we are the best. We strive to experiment, ship, and learn every day. 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 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. If you're looking for a data rich environment that is already heavily using AI, with at-scale challenge and a ton of innovation and experimentation ahead, you will find yourself at home on the AI 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. Job Description and Requirements Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $150,000 and $224,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. |