Senior Machine Learning Applied Researcher

2 Months ago • All levels • Research Development • $135,400 PA - $250,600 PA

Job Summary

Job Description

As a Senior Machine Learning Applied Researcher, you will design and implement advanced machine learning models to enhance user experiences across Apple's ecosystem, encompassing areas like the App Store, subscription services, and marketing initiatives. Collaboration with cross-functional teams is crucial to translate business objectives into technical solutions. This role involves leading research and development endeavors, including LLM fine-tuning and exploration of new AI technologies. You will analyze extensive datasets to extract actionable insights, boosting model efficiency and driving business impact. Developing and assessing prototypes and production-ready solutions, alongside effectively communicating findings to both technical and non-technical audiences, is also essential. You will also contribute to the team's research goals through publications and patents and mentoring junior researchers.
Must have:
  • Design and implement advanced machine learning models.
  • Collaborate with cross-functional teams.
  • Lead research and development initiatives.
  • Analyze large-scale datasets.
  • Develop and evaluate prototypes.

Job Details

We are seeking a talented and experienced Senior Applied Researcher to lead and contribute to high-visibility projects. This role requires deep expertise in machine learning, a passion for research and development, and the ability to effectively communicate complex ideas to cross-functional teams and partners. If you are a self-motivated, energetic individual with a track record of delivering impactful results, we want to hear from you. In this role, you will: - Design and implement advanced machine learning models to optimize user experiences across Apple’s ecosystem, including App Store, Subscription services, and marketing campaigns. - Collaborate with cross-functional teams to translate business objectives into technical solutions. - Lead research and development initiatives, including LLM fine-tuning and the exploration of emerging AI technologies. - Analyze large-scale datasets to uncover actionable insights, improve model performance, and drive business impact. - Develop and evaluate prototypes, proof-of-concepts, and production-ready solutions. - Communicate findings and recommendations effectively to technical and non-technical audiences, including leadership and business partners. - Contribute to the team’s research goals by authoring publications and filing patents in alignment with Apple’s innovation standards. - Mentor junior researchers and foster a culture of collaboration, innovation, and excellence within the team.

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