Senior ML Scientist - Travel Discovery & Ranking

Senior ML Scientist - Travel Discovery & Ranking

Full-Time Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Lead ML projects to enhance travel recommendations and shape the company's ML strategy.
  • Company: Join a global, remote-friendly organisation focused on innovative travel solutions.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and drive innovation in travel discovery.
  • Why this job: Make a real impact in travel tech while mentoring future talent in a dynamic environment.
  • Qualifications: Proven experience in machine learning and leadership skills.

The company Group is seeking a Principal Machine Learning Scientist to anchor our core discovery engine, shaping ML strategy and production-grade implementations for travel recommendations. You will influence engagement and conversions by building multi-objective models and scalable systems.

You will lead a team of researchers and engineers, mentor talent, and collaborate closely with product managers across a global, remote-friendly organization.

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Senior ML Scientist - Travel Discovery & Ranking employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior ML Scientist - Travel Discovery & Ranking

Machine Learning
Multi-objective Modelling
Scalable Systems Development
Team Leadership
Mentoring
Collaboration
Product Management