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ML Engineer - Large Molecules
Summary by AIEngineer.careers
ML Engineer - Large Molecules is a Machine Learning Engineer role (full-time). with Apheris. in BERLIN, DE. Compensation shown: $140K–$140K (est.). Imported listing (source: jobborse24.de). Apply on the employer's site (jobborse24.de).
Imported listing (source: jobborse24.de) · Apply on jobborse24.de
BERLIN · DE
$140K–$140K (est.)
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobborse24.de
Apheris is seeking an ML Engineer to work on large molecules, protein language models, and federated learning within a regulated biotech environment. The role involves developing and deploying machine learning models for protein-related tasks while ensuring compliance with industry regulations. The ideal candidate will have a strong background in ML and a keen interest in biotech applications.
Responsibilities
- Develop and optimize machine learning models for protein language tasks
- Implement federated learning solutions in a regulated biotech setting
- Collaborate with cross-functional teams to integrate ML models into production
- Ensure compliance with regulatory standards and data privacy requirements
Requirements
- MSc or PhD in Computer Science, Bioinformatics, or a related field
- Strong experience in machine learning, particularly with protein language models
- Knowledge of federated learning frameworks and techniques
- Familiarity with regulated environments such as biotech or healthcare
Nice to Have
- Experience with large-scale molecular datasets
A
Apheris
Berlin · DE · 64+ employees
Apheris provides federated AI and data-network technology for life sciences and drug discovery. Its platform lets organizations train, run, benchmark and customize models across proprietary datasets while keeping sensitive data in the owners’ environments.
