Machine Learning Engineer

Barrington James; München; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

Join a mission-driven biotechnology startup in Munich, specializing in AI-driven drug discovery. As a Machine Learning Engineer, you'll design innovative deep learning algorithms that will have a real-world impact on drug development. Work alongside a passionate team, leveraging advanced models to analyze protein-molecule interactions and contribute to groundbreaking projects. This is a unique opportunity to shape foundational technologies in a rapidly evolving field, while representing the company at industry events and conferences. If you're ready to make a difference in the scientific community, this role is for you.

Qualifikationen

• Strong experience in developing deep learning models for drug discovery.
• Background in drug discovery, biochemistry, or molecular biology.

Aufgaben

• Design and implement deep learning algorithms for drug discovery.
• Collaborate with scientists and engineers to integrate models into workflows.

Kenntnisse

Deep Learning

Machine Learning

Python

Analytical Problem-Solving

Communication Skills

Ausbildung

MS or PhD in Artificial Intelligence

MS or PhD in Machine Learning

MS or PhD in Computational Chemistry

Tools

PyTorch

TensorFlow

JAX

Jobbeschreibung

I am looking to speak with talented ML Engineer's to Join a mission-driven, early-stage startup at the forefront of AI-driven drug discovery. You'll have the unique opportunity to shape foundational technologies with real-world impact, working alongside a passionate, cross-disciplinary team. As a core member of the team, you'll also have the chance to represent the company at conferences and industry events, contributing to the broader scientific and tech community.

Title : Machine Learning Engineer

Field : AI Driven Drug Discovery

The company :

Munich-based biotechnology startup founded in 2021, specializing in AI-driven drug discovery. The company are focused on small molecule development, leveraging the power of advanced deep learning models to analyze protein–molecule interaction. They have an internal Drug Discovery platform that is used to accelerate their internal drug discovery process and use their technology in partnerships with Biotech / Pharma companies across Europe to provide unique insights into experimental decision-making.

Responsibilities :

• Design and implement cutting-edge deep learning algorithms tailored for drug discovery applications.
• Drive innovation in predictive modeling across a range of therapeutic areas and disease types.
• Translate biological and chemical insights into scalable ML architectures that impact real-world R&D.
• Collaborate closely with interdisciplinary teams of scientists and engineers to integrate models into discovery workflows.
• Contribute to the development of proprietary AI platforms that accelerate and de-risk the drug development pipeline.
• Stay at the forefront of the field by exploring novel methods in generative modeling, graph learning, and multi-modal data integration.

Requirements :

• Strong experience developing deep learning models for drug discovery applications.
• MS or PhD in Artificial Intelligence, Machine Learning, Computational Chemistry, or a related discipline.
• Background in drug discovery, biochemistry, molecular biology, or a similar scientific field.
• Proficient in Python and modern ML / DL frameworks (e.g., PyTorch, TensorFlow, JAX).
• Excellent analytical problem-solving and communication skills, with the ability to work cross-functionally.

Following your application Jay Robins, a specialist AI Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click ‘apply’ or contact Jay Robins for any further information.