AIML- Intern, Machine Learning Research, DMLI

Key Skills

Aartificial intelligence, Data science techniques, JAX framework, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch

Job Description

We are looking for a machine learning research intern with a passion for applying machine learning research to challenging problems inspired by the health domain. You will join a close-knit team of highly accomplished and deeply technical research scientists and engineers focused on delivering cutting edge machine learning technologies to the health space. You will perform research by defining, designing, implementing, and evaluating new machine learning models and algorithms to solve challenging problems involving unique data and objectives. We are seeking candidates with demonstrated interest and experience — via publications — in developing and innovating machine learning methods. The experience must reflect at least one of these areas: * Causal representation learning * Fair and robust machine learning * Combining scientific models with machine learning * Physics-informed machine learning * Structured generative models

Key Qualifications

• Ability to drive ambitious research independently.
• Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience.
• Proficiency developing machine learning solutions using Python and its associated ecosystem — numpy, pandas, Jax, PyTorch, etc. — or other programming language.

Description

Your responsibilities include: Researching and implementing novel machine learning techniques mentioned under Key Qualifications applied to unique data and problems. Length of the internship is flexible and can be up to multiple months, with potential for part-time extension.

Education & Experience

PhD student in machine learning/data sciences (CS, ECE, Statistics, Math, natural sciences, or other related fields). For exceptionally strong candidates we also consider non PhD students.