Intern - Research Engineer (Life Sciences)

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