Intern Research Engineer

at  Quantiphi

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!
Role : Intern - Research Engineer

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. / Master’s 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.

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

• 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 propert