Intern - Research Engineer (Life Sciences)

US MA Boston

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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!

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:

  • Pursuing 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.

  •  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

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

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Tags: Computer Science Data visualization Deep Learning Drug discovery Engineering Excel Generative AI Generative modeling Keras LLMs Machine Learning ML models Python PyTorch Research Statistical modeling Statistics TensorFlow

Perks/benefits: Career development Conferences Startup environment Transparency

Region: North America
Country: United States

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