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Machine Learning Engineer


Media

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ABOUT THIS ROLE

  • / Arlington, VA (Hybrid)
  • / Permanent
  • / $230,000 p/year
REF: 11628

Machine Learning Engineer

Location: Arlington, VA (Hybrid)

Salary: $230,000

Step into a role that offers more than a career—it promises innovation, impact, and growth. A leading media company in Arlington, VA, is on the lookout for a talented Machine Learning Engineer to join their dynamic team. This permanent position comes with a competitive salary of $230,000 and offers the perfect balance of in-office and remote work.

Key Responsibilities and Requirements:

  • Machine Learning Expertise: Proven experience in developing and deploying machine learning models.
  • NLP Skills: Strong background in Natural Language Processing (NLP), essential for driving technological advancements.
  • Technical Proficiency: Hands-on experience with programming languages such as Python, R, or Java, and frameworks like TensorFlow or PyTorch.
  • Analytical Mindset: Capability to analyse large datasets and extract actionable insights.
  • Collaboration: Excellent communication skills to work effectively within teams and across departments.
  • Problem-solving Abilities: A knack for identifying issues and developing innovative solutions.

Why Join?

This role places you at the heart of technological innovation within the media industry. Beyond the exciting challenges, the hybrid work model ensures flexibility and work-life balance, with office collaboration from Monday to Thursday. The company fosters a supportive and inclusive environment where your professional development and well-being are prioritised.

Location Requirement:

Candidates must reside in Arlington, VA, and be available to work on-site from Monday to Thursday.

Ready to make a difference?

If you are passionate about machine learning and eager to play a pivotal role in shaping the future of media technology, we invite you to embrace the challenge. This is your opportunity to push boundaries and become a key player in a transformative journey.

Take the next step and apply today!

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