Forward-Deployed ML Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and implement machine learning applications within structural biology, focusing on fine-tuning and enhancing foundational models such as OpenFold, Boltz-2, and ESMFold.

• Create and execute model extensions for targeted tasks including the prediction of protein complexes and binding affinities, which entails data distillation, benchmarking, and evaluation pipelines.

• Collaborate with customers and academic partners to establish data preprocessing, selection, and benchmarking strategies for innovative training tasks related to protein structures, complexes, and multimodal biological data.

• Conduct case studies linked to the aforementioned tasks, offering scientific and technical expertise to clients.

• Participate in the complete project lifecycle, from initial scoping to the delivery and dissemination of results.

• Design, construct, and sustain scalable machine learning models along with the necessary pipelines for training, inference, and production deployment.

• Work collaboratively across functions to ensure models meet the practical needs of drug discovery.

• Contribute to publications or open-source projects where applicable.

⛳️ Requirements

• Extensive experience in building and training modern models in a production setting, at scale (e.g., AlphaFold, OpenFold, Boltz).

• Proven experience applying machine learning to real-world challenges in protein structure or drug discovery.

• Ability to thrive in a fast-paced startup environment and enjoy working on projects driven by customer needs.

• A solid understanding of the technical challenges associated with structural biology and the capability to design scalable workflows for data preprocessing, training, and evaluation.

• Preferred: experience with federated learning, privacy-preserving machine learning, or privacy-preserving model training.

• Preferred: published work in machine learning or biology journals/conferences (e.g., NeurIPS, ICML, Nature Methods, Bioinformatics).

🏝️ Benefits

• Competitive compensation that includes early-stage virtual share options.

• Remote-first work culture – operate from your preferred location, whether it be your home or a nearby co-working space.

• Comprehensive benefits package, featuring a wellbeing budget, mental health support, a work-from-home allowance, a co-working stipend, and a learning and development budget.

• Regular team lunches and social gatherings.

• Generous holiday allowance.

• Quarterly All Hands meetings at our Berlin headquarters or another European location.

• A dynamic and diverse team of mission-driven individuals committed to utilizing AI and ML for positive impact.

• Ample opportunities for personal and professional growth, allowing you to shape your own role.