Machine Learning Engineer Lead

5 days ago


Wichita, Kansas, United States Relativity Full time

About Relativity

Relativity is a leading company in the field of AI and data science. We are committed to using AI to improve user experience, product, matter, and investigation at Relativity. Our team is focused on helping users discover the truth more quickly and act on data with confidence.

We are creating a world-class toolset to solve complex challenges quickly and iteratively. AI will be leveraged everywhere in all stages of the discovery process to better manage cases and optimize product operations.

We believe in exploration, experimentation, and bringing 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 technologies to ensure we are the best. We strive to experiment, ship, and learn every day.

About the Role

The successful candidate will lead a team of engineers from a technical perspective, focused on data science enablement, automation, and model management. Key responsibilities include designing and building a CI/CD framework for releasing and maintaining models, designing machine learning solutions with appropriate delivery timelines, extensibility, performance, and scale, and collaborating with security and data engineering teams to ensure data integrity and compliance.

Requirements

Key qualifications include years of experience engineering software systems, industry experience in machine learning-focused roles and big data environments, and experience leading a team from a technical perspective. The ideal candidate will also have fluency in Python, Java, or Scala, experience with Docker, AWS, Azure, or GCP, and proficiency in tools such as Prefect, Airflow, Helm, and Kubernetes.

Compensation

The estimated salary range for this role is between $150,000 and $224,000 per year. This position is eligible for competitive base salary, annual performance bonus, and long-term incentives.

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