Microsoft Head Applied Science - Clipchamp 

Taiwan, Taoyuan City 

667094055

We’re seeking ato lead the future of AI-powered video creation and consumption. In this hands-on leadership role, you’ll set strategic direction, grow and mentor a team of high-performing scientists and turn cutting-edge research into impactful product capabilities. You’ll bridge foundational model innovation with real-world development, automating editing, enabling new storytelling formats and delivering user-friendly, intelligent video tools.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years of people management experience.
• 4+ years of experience designing, running, and evaluating experiments, leveraging user feedback and telemetry to improve system performance.
  
• Deep expertise with large language models (LLMs), including techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,
  • OR related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering,
  • OR related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 7+ years of people management experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Experience presenting as an invited speaker at conferences or other industry/research community events.
  
• 7+ years of research experience in academic or industry environments.
  
• 5+ years of experience developing and deploying live production systems within a product team.
  
• 7+ years of experience delivering products or systems across multiple phases of the product lifecycle, from concept through to launch.
  
• Solid understanding of modern machine learning techniques, including natural language processing, deep learning, and their application to real-world scenarios.
  
• Demonstrated success in applying LLMs and advanced NLP algorithms to production-scale problems.
  
• 8+ years of hands-on experience building and deploying machine learning or AI solutions in production environments, with a proven track record of taking projects from prototype to large-scale release.
  
• Solid programming skills in languages such as Python (and/or C++/Java) and proficiency with ML frameworks/tools such as PyTorch or TensorFlow.
  
• Advanced analytical skills for working with large-scale datasets and assessing model performance, including defining and tracking ML metrics (e.g., precision, recall), applying user feedback to improve models, and iteratively diagnosing model behaviour.

• Stay at the forefront of AI, generative media, and large language model (LLM) research, applying techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) to enhance Clipchamp’s video creation capabilities.
• Lead the design and development of advanced ML/NLP/CV models to power intelligent video editing, generation and personalisation.
• Architect and refine machine learning models (supervised and unsupervised) that optimise the relevance, quality and creativity of video outputs.
• Build and scale relevance and ranking systems tailored to video discovery and editing recommendations.
• Develop synthetic and real-world datasets for training and benchmarking AI models in video domains.
• Design rigorous evaluation methodologies that reflect real creator workflows and measure user-perceived quality.
• Continuously iterate using real user feedback, telemetry, and A/B testing to improve model precision, recall, and satisfaction.
• Partner closely with engineering and product teams to integrate AI models into Clipchamp’s editing, generation, and publishing workflows.
• Ensure models are production-ready, meeting standards for scalability, latency, security, compliance, and reliability in a cloud-based video platform.
• Translate creator needs into robust, AI-driven video features that operate seamlessly at Microsoft scale.
• Provide technical leadership across applied science initiatives, ensuring scientific rigour and innovative thinking.
• Mentor applied scientists and machine learning engineers, fostering best practices in research, coding, experimentation, and delivery.
• Recruit and nurture diverse talent, building a culture of creativity, collaboration, and high-impact innovation.
• Set a bold, creator-focused mission that unites the team around ambitious, measurable goals.