Sr. Research Engineer

4 weeks ago

Old Toronto, Canada Quantiphi, Inc Full time

Sr. Research Engineer - R&D page is loaded Sr. Research Engineer - R&D Apply locations CA ON Toronto time type Full time posted on Posted 2 Days Ago job requisition id JR3277

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

Welcome

Thank you for your interest in Quantiphi

We are a team that dreams together and collaborates to ensure success.
We are currently looking for exceptional individuals who can join us and contribute to a fun, diverse and hybrid work culture. As a part of the Quantiphi family, you will get ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.

If this excites you, explore our current openings and apply to any job roles that suit and interest you. 

About Us

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. We solve the toughest and most complex business problems with the latest and cutting-edge technologies and to make this happen, we have a vibrant, diverse and talented set of professionals we proudly refer to as the Quantiphi family.

Our culture is built on transparency, diversity, integrity, learning and growth. We are committed to provide our teams with an environment that helps them to learn, grow and flourish in their professional as well as personal lives.

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