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Research Scientist/Engineer L5/L6, AI for Member Systems


Pay$230000.00 / year
LocationRemote
Employment typeFull-Time
  • Job Description

      Req#: JR31234
      Employer Industry: Entertainment Services

      Why consider this job opportunity:
      - Salary range up to $960,000
      - Comprehensive benefits package including Health Plans, Mental Health support, and a 401(k) Retirement Plan with employer match
      - Flexible time off for full-time salaried employees and 35 days of paid time off for hourly employees
      - Opportunity to work on cutting-edge AI and Machine Learning projects that impact millions of users worldwide
      - Unique company culture that values diversity and inclusion
      - Choice to customize compensation between salary and stock options annually

      What to Expect (Job Responsibilities):
      - Drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions
      - Explore and apply state-of-the-art AI/ML techniques including LLM pretraining, fine-tuning, and robust offline experimentation
      - Develop production-ready systems to enhance member experience through personalization and recommendations
      - Collaborate within multi-disciplinary teams to solve real-world problems and maintain a strong execution focus
      - Communicate findings and strategies effectively across teams and stakeholders

      What is Required (Qualifications):
      - Ph.D. or Master's in Computer Science or related fields
      - 6+ years of research experience with a proven track record of delivering quality results
      - Deep expertise in machine learning, including both supervised and unsupervised learning
      - Practical experience in the development and application of Large Language Models (LLMs)
      - Strong software engineering skills, with proficiency in Python, TensorFlow, and PyTorch

      How to Stand Out (Preferred Qualifications):
      - Proven experience as a technical leader and collaborator with cross-functional teams
      - Research publications in peer-reviewed journals and conferences on relevant topics
      - Hands-on experience in distributed training and reinforcement learning-based training of LLMs
      - Proficiency with cloud computing platforms and large web-scale distributed systems
      - Contributions to open source projects and experience in areas like search or natural language processing

      #Entertainment #MachineLearning #AI #CareerOpportunity #DiversityAndInclusion

      "We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."
  • About the company

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