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Senior Machine learning Researcher

4 months ago

Toronto, Canada Quantiphi Full time

Company Profile

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.


Company Highlights:

  • Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 3200+ data science professionals across 11 global offices
  • Winner of 3X NVIDIA AI Partner of the year award
  • Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
  • Winner of 3X AWS AI/ML Partner of the Year award
  • Preferred and Premier Partner for AWS, Google Cloud, NVIDIA, Snowflake, Databricks and more
  • Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and other leading analyst firms
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare (2022) and Financial Services(2023) by Frost & Sullivan
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of AI Excellence Award 2022 and 2023 including 'Generative AI product' category for Baioniq, Quantiphi's generative AI platform


For more details, visit our Website or our Page


Experience Level: 2+ years of experience


Location: Toronto, Canada


Skills Needed:

  • Masters or Pursing Ph.D. in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general.
  • 2-4 + years of experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications.
  • Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Strong publication record in top-tier machine learning, deep learning, or AI conferences or journals.
  • Knowledge of specific applications such as drug discovery, knowledge synthesis will be a plus.


Roles & Responsibilities:

  • Conduct research in machine learning, deep learning, and statistical modeling to design and implement new algorithms and techniques for multi-modal, generative AI, and LLM applications.
  • Work on improving the performance and accuracy of existing machine learning models and algorithms, and identify areas for optimization and improvement.
  • Develop and train multimodal generative models, with a focus on improving the quality of generated content and enabling seamless multi-modal interactions.
  • Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications.
  • Stay up-to-date with the latest research and developments in machine learning and AI, and apply new techniques and approaches as appropriate.
  • Write high-quality technical reports, papers, and presentations to document research findings and communicate results to internal and external stakeholders.
  • Generate intellectual property


What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud