Lead Applied Scientist

Lead Applied Scientist – Machine Learning, NLP & Generative AI -
220k-240k CAD, 25% AIP, 30% LTI

A global technology-led organisation is seeking a
Lead Applied Scientist
to join its applied research function. This role sits at the intersection of
machine learning research and real-world product delivery
, with a strong focus on
NLP, Information Retrieval, and Generative AI
.

This is a senior, hands-on position suited to candidates who enjoy
owning AI solutions end to end
, from problem definition and experimentation through to production deployment and business impact.

The Role:

• Leading the
  design and delivery of ML, NLP, IR, and Generative AI systems
• Applying
  information retrieval techniques, context engineering, model development, and evaluation design
• Driving
  applied research into production-ready AI solutions
• Partnering closely with
  Product, Engineering, UX, and business stakeholders
• Influencing
  long-term AI and applied research strategy
• Developing deep understanding of
  customer problems and data
• Mentoring and coaching
  Applied Scientists and ML Engineers
• Contributing to
  publications, intellectual property, and technical thought leadership
• Participating in and attending leading AI conferences (e.g. NeurIPS, ICLR, ACL, EMNLP, NAACL, SIGIR, KDD)

Essential criteria:

• PhD in Computer Science, AI, Machine Learning, NLP, or a related discipline
• or a Master's degree with equivalent industry experience
• 7+ years
  of hands-on experience building
  ML / NLP / IR systems in production
• Strong expertise in
  Natural Language Processing, Information Retrieval, and/or Generative AI
• Proven ability to
  architect and deliver end-to-end AI solutions
• Experience writing and maintaining
  production-quality code
• Demonstrated success translating complex research problems into
  business-ready AI applications
• Experience
  leading through others
  in an applied research or industry R&D environment
• Excellent communication and stakeholder management skills
• Comfortable working in
  agile, fast-paced environments
  with a focus on impact and iteration