Member of Technical Staff, Applied AI
Latent Labs7 months ago
Responsibilities
- Develop a deep understanding of the company’s generative models, including their architectures, training data, capabilities, and limitations.
- Drive end-to-end technical deployment of models into customer environments using production-grade API integrations and model-serving infrastructure.
- Adapt and fine-tune models for customer requirements in collaboration with research teams.
- Build ML data pipelines for customer-specific inference, evaluation, and feedback workflows.
- Ensure customer deployments meet standards for security, performance, and reliability.
- Work embedded with pharmaceutical and biotech partners to scope requirements, troubleshoot issues, and deliver solutions.
- Serve as the technical point of contact for assigned customers and build relationships with their scientific and engineering teams.
- Plan and conduct model inference against biological targets with customer biology teams and feed resulting insights back into models.
- Synthesize customer feedback into actionable input for product, research, and platform teams.
- Create technical documentation, integration guides, and best-practice resources.
- Work onsite at international partner locations as needed and contribute to internal knowledge sharing and conferences.
Requirements
- Strong machine-learning research experience focused on generative modeling, demonstrated through notable projects, open-source contributions, product launches, or high-impact publications.
- Deep understanding of generative-model architectures, training dynamics, and inference behavior.
- Experience writing robust, tested, maintainable ML code and using version-control and code-review systems.
- Experience serving large models through APIs, running inference on cloud hardware, and parallelizing data and models across accelerators.
- Ability to translate complex technical concepts for scientific and non-technical stakeholders and work in customer-facing delivery environments.
- Experience optimizing deep-learning models for training and inference speed, cost-effectiveness, performance, and reliability.
- Preferred: experience in computational biology or protein design and ML-driven biological modeling.
- Preferred: experience delivering production enterprise software meeting security, compliance, auditability, and uptime requirements.
- Preferred: academic training in physics, biology, chemistry, or a related natural-science field.
Benefits
- Private health insurance
- Pension contributions
- Generous leave policies, including gender-neutral parental leave
- Hybrid working
- Travel opportunities
- Opportunity to shape the future of synthetic biology through breakthrough generative models
Categories
ML EngineeringSolutions Engineering
About Latent Labs
Latent Labs builds generative AI and foundational models to make biology programmable, enabling design and optimization of proteins, antibodies, enzymes, and genetic constructs for pharma, biotech, and synthetic biology teams. It works with partners to co-develop candidates and provide model access with wet-lab validation through research collaborations and licensing. The company is privately held and raised a Series A in 2025.