Senior Machine learning Researcher

4 weeks 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 LinkedIn 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

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