Machine Learning Researcher

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