Genesis Molecular AI

Product Manager

• Analyze disease areas, treatment paradigms, and unmet needs to shape positioning of potential drugs
• Support KOL interviews and secondary research, including epidemiology and published literature, to build and validate commercial assumptions
• Track competitor pipelines, clinical readouts, approvals, deals, conference abstracts, and presentations for early signals
• Translate competitive intelligence into updated assumptions for the team
• Contribute commercial input to Target Product Profiles and clinical development plans, including endpoints, comparators, patient populations, and indication sequencing
• Collaborate with discovery, preclinical development, business development, and finance to align programs with commercial objectives
• Report to the Director of New Product Planning

Manager – New Product Planning

Technical Recruiter

• Own searches end-to-end across AI/ML research and engineering, from sourcing and outreach through offer and close
• Build deep knowledge of our technical roles and the competitive talent landscape to move quickly and effectively on top candidates
• Design and run our intern and new graduate hiring programs, including university partnerships, research lab relationships, and on-campus recruiting: build a repeatable, scalable process that consistently converts early career talent into future full-time hires
• Proactively map and continuously engage the global pool of top AI/ML researchers and engineers relevant to our domain, and cultivate long-term relationships so Genesis is top of mind when exceptional researchers consider their next move
• Represent Genesis at key venues (e.g. NeurIPS, ICML, ICLR) and build sustained relationships with faculty, PhD students, and postdocs at top research universities
• Champion an outstanding candidate experience throughout the process. Close candidates with the right balance of transparency, enthusiasm, and persistence.
• Track pipeline health and recruiting metrics in Ashby. Identify bottlenecks and continuously improve your own workflows for efficiency and impact.

Staff Technical Recruiter

Infrastructure Engineer

• Lead engineering efforts focused on continuous improvement of the AI platform, focused on rapid build out and iteration on scalable and robust distributed infrastructure for ML training, inference, and evaluation.
• Support model training and deployment across multiple clusters and multiple clouds, optimizing for throughput and cost.
• Optimizing efficiency of ML models and other workloads in terms of latency, throughput, memory consumption, etc. (e.g., via GPU performance engineering), pushing the limits of what’s possible with the current hardware.
• Contribute to the long-term vision for Genesis’ infra platform.

Software Engineer – ML Infrastructure

• Define, maintain, and communicate the technical and scientific product roadmap in alignment with company goals
• Deeply understand user needs, translate workflow complexity into simple and effective product design
• Facilitate effective collaboration among software engineers, ML researchers, and computational chemistry scientists
• Act as the primary point of contact for internal stakeholders, gathering input and communicating progress effectively
• Leverage data and feedback to make informed decisions and iterate on product features
• Translate company objectives into actionable product plans, ensuring alignment with user needs and strategic goals
• Drive projects from concept to completion, ensuring high-quality deliverables on time and within scope
• Identify potential risks in product development and proactively implement mitigation strategies

Product Management Lead

Research Scientist

• Lead transformative research projects from conception to implementation, tackling core challenges in generative modeling for molecular systems.
• Design and develop novel models and algorithms, building upon the latest literature in diffusion models, flow matching, RL, LLMs, and other cutting-edge areas.
• Execute ambitious experiments at scale, leveraging our world-class computational infrastructure to rigorously validate your hypotheses and push the boundaries of the state-of-the-art.
• Collaborate intensely with a multidisciplinary team to translate your research into tangible impact on our drug discovery platform.
• Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops.
• Mentor and guide other researchers and engineers, fostering a culture of shared learning, growth, and innovation.

ML Research Scientist – Foundation Models, Senior / Staff / Principal

Research Engineer

• Drive the R&D and scaling of our foundation models, taking ownership of the engineering and experimentation for key research initiatives.
• Make cutting-edge foundation model research a reality at scale. Implement, optimize, and build novel foundation models from the initial research prototypes to high-performance production models.
• Optimize performance of large-scale ML systems, including distributed training, inference efficiency, and GPU-level optimizations where necessary.
• Constantly engage with deep learning literature, building upon novel architectures and training methods to create new capabilities.
• Bridge machine learning research and computational chemistry workflows, working closely with computational chemists, structural biologists, and medicinal chemists to ensure models translate effectively into real drug discovery programs.
• Help productionize Pearl and related structure prediction models, enabling reliable deployment and integration into Genesis’ internal and partner drug discovery pipelines.
• Own the experimental lifecycle with scientific rigor. You'll design experimental plans, own their execution on our large-scale compute infrastructure, and drive the deep analysis of results to inform the next research cycle and to validate most promising approaches.
• Ship state-of-the-art models to production.
• Collaborate intensely. Work closely with the broader team to integrate your models into our drug discovery platform.
• Mentor and guide other researchers and engineers, fostering a culture of high-quality code, rigorous experimentation, and continuous innovation.
• Contribute to the global research community by publishing some of your work and representing Genesis at top tier AI/ML conferences and workshops.

ML Research Engineer, Foundation Models – Senior / Staff / Principal

Full-stack Engineer

• Own and evolve the full-stack platform that computational chemists use daily
• Build and expand tools for visualizing molecules and proteins
• Partner with machine learning engineers and computational chemists to develop and productionize new methods
• Scale our data infrastructure to handle billions of datapoints and thousands of parallel jobs

Fullstack Software Engineer – Senior/Staff

Engineering Manager

• Provide technical leadership on system architecture, platform design, scalability, reliability, and engineering best practices.
• Act as a hands-on technical leader, contributing directly through software development, architecture, design reviews, technical strategy, and critical engineering initiatives.
• Write, review, and ship production code for high-impact features, platform capabilities, and foundational systems.
• Drive delivery of user-facing features and platform capabilities that accelerate molecular design and drug discovery workflows.
• Partner with machine learning and scientific teams to integrate advanced AI capabilities into product workflows.
• Establish effective engineering processes that enable predictable delivery while maintaining flexibility in a fast-moving environment.
• Ensure high standards for software quality, testing, observability, security, and operational excellence.
• Lead complex technical investigations and help unblock the team on high-impact architectural and implementation challenges.
• Partner with Product, Design, Machine Learning, and Scientific teams to define product strategy, roadmap priorities, and execution plans.
• Drive prioritization and planning processes that align engineering investments with company objectives.
• Communicate roadmap progress, technical strategy, risks, and business impact to stakeholders across the organization.
• Collaborate with stakeholders to understand user needs and translate them into impactful product experiences.
• Lead and develop a high-performing team of software engineers and computational chemists building Genesis's agentic drug discovery platform.
• Create a collaborative, inclusive, and growth-oriented team culture focused on ownership, learning, and execution.
• Own performance management, coaching, feedback, and career development for team members.
• Facilitate technical decision-making and help the team navigate tradeoffs between speed, quality, maintainability, and business impact.
• Recruit, onboard, and retain exceptional engineering and scientific talent.
• Develop hiring strategies and partner with leadership to build a world-class Product Engineering organization.
• Participate actively in sourcing, interviewing, and closing candidates.
• Help shape team structure, organizational design, and growth plans.

Engineering Manager, Product Engineering Team

• Work directly with project teams to assess model performance and utility, including applicability to current project needs, and collaborate with ML and engineering teams to resolve issues or add new functionality.
• Assist experimental colleagues with use and interpretation of model predictions by providing context about model quality and prediction uncertainty.
• Evaluate model quality by validating predictions against project data and internal or external benchmarks.
• Curate internal and external datasets for model training and validation (in collaboration with experimental teams).
• Contribute to design and analysis of experiments on model changes and alternative architectures.