Senior ML Research Engineer

🔥 5 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

📚 Research Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Apheris

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Apheris is a company that specializes in enabling secure and compliant data collaboration across distributed data environments, particularly for enterprises. The company's solutions empower organizations to engage in federated machine learning and analytics, facilitating the building of models without needing to move sensitive data, thus preserving privacy and security. Apheris focuses on providing technology that allows multi-party data ecosystems and partnerships, with a strong emphasis on compliance, particularly in regulated industries like pharmaceuticals and biotech. Their technology is trusted by major pharmaceutical companies to support AI-driven drug discovery initiatives without compromising proprietary data.

📋 Description

• Develop and improve ML models in molecular and structural biology, such as co-folding and binding affinity models, for drug design applications and workflows • Drive models from ideation through prototyping iterations to robust tooling • Build benchmarking and evaluation strategies for model evaluation • Iterate and refine modelling approaches based on data-driven insights • Diagnose and resolve data quality and pipeline issues affecting model quality • Stay current with research literature and identify effective public approaches for research and development • Collaborate with customers, partner-facing engineers, and external collaborators to support real-world drug design use cases • Execute research projects and turn scientific goals into frontier ML models that can be evaluated, released, and used in drug-discovery workflows

🎯 Requirements

• PhD or MSc in machine learning, computational biology, computational chemistry, bioinformatics, physics, or a related field • At least 2 years of professional experience applying ML to scientific problems • Hands-on experience training, fine-tuning and extending deep learning models for molecular or protein structure modelling • Ability to rigorously interrogate ML models, their training, and scientific benchmarks, and translate insights into impactful improvements • Expert in Python and PyTorch • Ability to produce reliable and clean code • Comfortable with multi-GPU and distributed training • Deep familiarity with structural biology and protein–ligand data formats, quality metrics and tooling • Proactively identify opportunities to contribute scientifically in order to impact organizational goals • Nice to have: experience in federated learning, privacy-preserving ML, or secure model training • Nice to have: experience developing ML models for drug design in pharmaceutical or biotech environments • Nice to have: publications at top-tier ML or structural biology venues or contributions to open-source projects in that space

🏖️ Benefits

• Industry-competitive compensation, including early-stage virtual share options • Remote-first working – work where you work best, whether from home or a co-working space near you • Wellbeing budget • Mental health benefits • Work-from-home budget • Co-working stipend • Learning and development budget • Generous holiday allowance • Office Days at the Berlin HQ or a different European location (3x a year)