Senior Research Engineer Jobs

Company Profile

Quantiphi is an award-winning AI-first digital transformation engineering company driven by the desire to solve transformational problems at the heart of the business. We are passionate about our customers and obsessed with problem-solving. Quantiphi solves our clients’ toughest and most complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed

Some company highlights:

• Headquartered in Boston, with 3000+ Quantiphi professionals across the globe
• Great Places to Work certified in 2021
• Delivered 2.5x growth YoY since its inception in 2013
• Winner of the "Machine Learning Partner of the Year" award from Google for two consecutive years - 2017 and 2018
• Winner of the “Data Analytics” and “Public Sector” partner of the year from Google for 2020
• Winner of the "Social Impact Partner of the Year" award from Google for 2019
• LEADER in The Forrester New Wave™ Computer Vision Consultancies, Q4 2020

For more details, visit: our Website or our LinkedIn Page

Role: Senior Research Engineer

Work location: Remote/Toronto, Canada

Skills Needed:

• Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Knowledge of specific applications such as drug discovery, knowledge synthesis will be a plus.
• Ph.D. in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general.
• Strong publication record in top-tier machine learning, deep learning, or AI conferences or journals.
• 2-4 + years of experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications.
• 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.

Roles & Responsibilities:

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

What is in it for you:

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