InstaDeep

www.instadeep.com

2 Jobs

428 Employees

About the Company

InstaDeep is a pioneer in decision-making AI, driven by the belief that AI can help everyone. We work with businesses and communities to help them realise the benefits of the latest in AI technology.

We excel in applying Machine Learning, and, in particular, Reinforcement Learning – systems learn to excel at tasks through experience – across industry sectors, including logistics, biotech, electronics design, and beyond, empowering businesses to harness AI to tackle their most complex challenges.

At InstaDeep, human values are at the heart of what we do. We combine technical expertise with a commitment to knowledge sharing, democratising AI for a more inclusive future and nurturing young talent so they can participate in the global AI discussion.

Our impact and global footprint expanded significantly in 2023 when InstaDeep became part of the BioNTech Group, which shares our innovative culture and a common vision to leverage AI for good.

Listed Jobs

Company Name: InstaDeep
Job Title: Research Engineer Intern in AI for Biology
Job Description: Job Title: Research Engineer Intern – AI for Biology Role Summary: Support the BioAI team in developing machine‑learning solutions for personalized cancer immunotherapies. Design, prototype, and benchmark deep‑learning models that integrate data from genomics, structural biology, and imaging. Contribute to research publications, report findings, and maintain high‑quality, reusable Python code. Expectations: - Complete coursework and research projects in the final year of a Master’s program in STEM. - Apply foundational machine‑learning and deep‑learning concepts to biological data. - Collaborate across multidisciplinary teams, communicating results clearly both verbally and in writing. Key Responsibilities: - Develop novel ML methods and prototypes under guidance of senior researchers. - Implement and benchmark models using PyTorch, TensorFlow, or JAX. - Analyze and preprocess data using NumPy, pandas, matplotlib, etc. - Document code, maintain version control (Git), and adhere to coding standards. - Prepare technical reports and present experimental outcomes to internal and external audiences. - Contribute to draft manuscripts and conference materials. Required Skills: - Strong programming in Python (clean, modular code). - Theoretical and practical experience in machine‑learning & deep‑learning. - Proficiency with deep‑learning frameworks (PyTorch, TensorFlow, JAX). - Data handling expertise (NumPy, pandas, matplotlib). - Excellent written and oral communication; team‑collaboration mindset. Required Education & Certifications: - Current enrollment in the final year of a Master’s degree in a related STEM discipline (e.g., Computer Science, Bioinformatics, Data Science, Computational Biology). - No mandatory certifications required.

Company Name: InstaDeep
Job Title: AI Research Engineer Intern (Reinforcement Learning)
Job Description: Job title: AI Research Engineer Intern (Reinforcement Learning) Role Summary: Intern to design, build, and evaluate reinforcement learning models for complex decision‑making problems, focusing on deep RL, graph neural networks, and optimization techniques. Supports research engineering team in advancing AI‑driven optimization solutions applicable across industries. Expactations: Deliver novel RL algorithms and benchmarking results, contribute to published research, produce reproducible code, and communicate findings internally and externally. Key Responsibilities: - Design, implement, and benchmark RL algorithms for real‑world control and planning tasks. - Apply deep learning frameworks (PyTorch, TensorFlow, JAX) and classical optimization methods to enhance agent performance and generalization. - Conduct rigorous experimentation, statistical testing, and model validation to ensure stability and reproducibility. - Develop or improve RL architectures, contributing to long‑term research initiatives in AI optimization and autonomy. - Write clean, modular, and well‑documented code. - Report results in clear written and verbal formats to cross‑functional teams. Required Skills: - Advanced knowledge of deep learning and reinforcement learning principles. - Programming in Python; experience with PyTorch, TensorFlow, or JAX. - Familiarity with graph neural networks and quality‑diversity algorithms (preferred). - Ability to perform statistical analysis and design reproducible experiments. - Strong communication skills in English, both written and oral. - Team collaboration experience within multidisciplinary research or engineering settings. Required Education & Certifications: - Currently in the final year of a Master’s or PhD program in Computer Science, Applied Mathematics, or a closely related discipline.