Field Researcher

2 weeks ago


Toronto, Ontario, 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.

Quantiphi, an AI-First Digital Engineering Services & Platforms company, with a 2.Headquartered in Boston, with 3200+ data science professionals across 11 global offices
Winner of the 13X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner
Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Public Sector (2021), Healthcare and Financial Services(2023) by Frost & Sullivan
Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
For more details, visit our Website or our LinkedIn Page

Experience Level: 2+ years of experience

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 publication record in top-tier machine learning, deep learning, or AI conferences or journals.
~ 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.

Be part of the fastest-growing AI-first digital transformation and engineering company in the world
Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

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