Intern- Research Engineer

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

Location: Marlborough, MA

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. Support the team in generating new Intellectual property

Required Skills:

• Pursing Ph.D or Master’s degree in computer science, electrical engineering, statistics, or a related field, with a focus on machine learning, deep learning, or AI in general.
• 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

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