FreshRemote.Work

Senior Machine Learning Engineer

Remote

UTA seeks an experienced Senior Machine Learning Engineer to help our growing team uncover meaningful insights in the entertainment industry. This is a passionate and highly-technical team, where you will be working on hard data problems, insight engines, API scalability, and user-facing dashboards. Our team is entirely remote, light on meetings, and we trust and empower our engineers to do their best work on their schedule.

IQ, UTA’s strategic insights group, is dedicated to analyzing third-party data and leveraging its own proprietary tools and predictive analytics to provide actionable insights to our clients. You will help develop and maintain tools to empower the entire agency.

Our tech stack includes Neo4J, Postgres, ElasticSearch, Redis, RabbitMQ, Docker, Kubernetes, and NextJS. We work primarily in Typescript and Python.

The ideal candidate will be comfortable working with large data sets, building machine learning models, sourcing training data, and taking the initiative to solve complex open-ended problems.

The salary range for this role is $160,000 to $180,000 commensurate with experience and skills.


What You Will Do

  • Architect, develop, and maintain machine learning models in production
  • Work with internal and external teams to gather and curate training sets for iterative model improvement
  • Work directly with teams across the agency to ensure the products you are building work perfectly for users
  • Stay at the cutting edge of emerging trends and technologies in Machine Learning  and generative AI

What You Will Need

  • B.S. in Computer Science, Math, Physics, or related field strongly preferred
  • 5+ years of industry experience in a data science or software engineering role
  • Experienced and comfortable in Python
  • Experience with supervised and unsupervised learning, running models in production, labeling platforms, and generative AI
  • SQL Database experience
  • Superior communication skills
  • Kindness and passionate about team collaboration
  • Self-motivated and enthusiastic to tackle objectives with light oversight
  • Prior experience working in entertainment and/or media industry, a plus

What You Will Get

  • The unique and exciting opportunity to work at one of the leading global entertainment companies
  • Access to the tools, leadership, and resources you will need to create and drive a center of excellence
  • The opportunity to do the best work of your career
  • Work in an inclusive and diverse company culture
  • Competitive benefits and programs to support your well-being
  • Experience working in a collaborative environment with room to grow

About UTA
UTA unites ideas, opportunities and talent. The company represents some of the world's most iconic, barrier-breaking artists, creators and changemakers—from actors, athletes and musicians to writers, gamers and digital influencers. One of the most influential companies in global entertainment, UTA's business spans talent representation, content production, as well as strategic advisory and marketing work with some of the world's biggest brands. Affiliated companies include Digital Brand Architects, KLUTCH Sports Group, Curtis Brown Group, and MediaLink. UTA is headquartered in Los Angeles with offices in Atlanta, Chicago, Nashville, New York and London.
 

For more information: https://www.unitedtalent.com/about/
 

UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities.

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Job Profile

Benefits/Perks

Access to tools and resources Collaborative environment Competitive benefits Inclusive culture Unique opportunity

Tasks
  • Architect and develop machine learning models
  • Ensure product usability
  • Gather and curate training sets
  • Stay updated on trends
Skills

Communication Data Science Docker ElasticSearch Generative AI Kubernetes Machine Learning NEO4J Next.js Postgres Python RabbitMQ Redis SQL Supervised Learning Typescript Unsupervised Learning

Experience

5 years

Education

B.S. Computer Science Math Physics Related Field