Member of Technical Staff Applied AI

You will develop expertise in generative models and deploy, adapt, and fine-tune them for customer environments. You will build model-serving APIs and ML data pipelines, support pharmaceutical and biotech partners, uphold deployment standards, communicate customer feedback, and create technical documentation.

Responsibilities

• Develop a working understanding of generative model architectures, training data, capabilities, and limitations
• Collaborate in a shared codebase while maintaining code standards
• Drive end-to-end model deployments into customer environments
• Design production-grade API integrations and model-serving infrastructure
• Adapt and fine-tune models for customer requirements
• Build ML data pipelines for customer-specific inference, evaluation, and feedback
• Ensure deployments meet security, performance, and reliability standards
• Scope requirements, troubleshoot issues, and deliver solutions with pharmaceutical and biotech partners
• Serve as the technical point of contact for assigned customers
• Plan and carry out model inference against biological targets with customer biology teams
• Gather customer feedback and translate it into actionable insights
• Create technical documentation, integration guides, and best-practice resources
• Stay current with ML, model serving, and cloud-native tooling
• Participate in knowledge sharing and conferences

Requirements

• Generative modeling
• Generative model architectures
• Training dynamics
• Inference
• Machine learning code development
• Testing
• Version control
• Code review
• Model serving
• API
• Cloud hardware
• Parallel computing
• Accelerator
• Deep learning optimization
• Customer communication

Benefits

• Private health insurance
• Pension contributions
• Generous leave policies, including gender-neutral parental leave
• Hybrid working
• Travel opportunities