Research Scientist - Voice AI Foundations
DeepgramFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must be a seasoned Technical Program Manager with significant experience managing complex ML, scientific computing, or biotech-focused projects. A deeply technical background allowing fluent communication with ML researchers, platform engineers, and computational chemists is essential. Expertise in navigating research-driven ambiguity, bringing structure to open-ended scientific projects, and aligning priorities across science and engineering is required. Candidates must be masters of execution and organization, able to translate high-level strategy into detailed plans and manage multiple concurrent workstreams flawlessly. Exceptional communication and collaboration skills, excelling at building consensus and aligning technical and non-technical partners toward a common goal, are necessary. Passion for advancing science through technology in high-impact, mission-driven work is a must. A BS or higher in Computer Science, Computational Chemistry, BioEngineering, or a related field is a plus.
The Technical Program Manager will orchestrate the end-to-end delivery of foundation models, translating strategic research goals into executable roadmaps and concrete milestones. They will manage large-scale compute resources, partnering with research and engineering leads to ensure efficient scheduling and allocation for critical experiments. Responsibilities include implementing and overseeing configuration management to ensure research is reproducible, traceable, and robust. The role involves driving cross-functional execution and mitigating risk by proactively identifying dependencies, anticipating blockers, and ensuring clear communication across all teams. Additionally, they will design and mature operational processes, creating effective systems for experiment tracking, project documentation, and model release governance, and act as a central communication hub for stakeholders.
AI-driven drug discovery for pharmaceuticals
Genesis Therapeutics accelerates the development of new medicines by using artificial intelligence in drug discovery. The company combines 3D spatial graph modeling and molecular simulation to identify potential drug candidates and explore new chemical spaces. Unlike its competitors, Genesis Therapeutics focuses on strategic partnerships with other biotech and pharmaceutical companies, generating revenue through upfront payments and future earnings based on drug success. The goal is to transform the drug discovery process and bring new therapies to market.