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Genesis Molecular AI

12 open roles indexed with location, benefit, and apply-link signals where available.

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  • Intellectual Property (IP) Counsel

    Remote

    remote Salary not disclosed

    Intellectual Property (IP) Counsel Remote Genesis Molecular AI's legal team is small by design and central to the company's success. As the second attorney in the department, you will work directly alongside the Head of Legal on the full range of matters that keep a growth-stage, venture-backed company running, from building the IP portfolio that protects our core platform and drug discovery programs to negotiating the commercial agreements that fuel our growth. At a company like Genesis, where the work spans cutting-edge AI, computational chemistry, and drug development, legal is not a back-office function. You will be embedded with the research, engineering, and business teams, engaging on strategic questions early and often. The legal team operates with the same values as the rest of Genesis: interdisciplinary curiosity, ownership, and a bias toward impact. You will have real responsibility from day one, a direct line to leadership, and the opportunity to help shape the legal foundation of a company doing genuinely important work. About The Role: We are looking for an Intellectual Property (IP) Counsel to join our growing legal team as our second in-house attorney. Your primary responsibilities will be to build and protect Genesis's intellectual property portfolio, which spans our AI platform, foundation models, and small molecular drug discovery programs. You will be responsible for helping to develop our patenting strategy, leading patent harvesting sessions with inventors, helping to draft claims, and working with outside counsel to file and prosecute applications. Beyond patents, we are looking for someone that

  • Applied ML Scientist (Staff / Principal)

    San Mateo, CA

    unspecified Salary not disclosed

    Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science

  • Staff Technical Recruiter

    San Mateo, CA

    unspecified Salary not disclosed

    Staff Technical Recruiter San Mateo, CA Genesis Molecular AI is pioneering the use of AI and biophysics to transform drug discovery. Backed by leading investors such as a16z, NVIDIA (via NVentures) and Radical Ventures, we are growing thoughtfully and deliberately to build one of the most talented research and engineering teams in the world. We are seeking a Staff Technical Recruiter to own full-cycle hiring for our AI/ML research and engineering organization. This is a high-impact individual contributor role working with our Head of Recruiting and technical leadership to bring exceptional talent into Genesis. What You'll Do - 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.

  • Senior Director, Medicinal Chemistry

    San Diego, CA

    unspecified Salary not disclosed

    Senior Director, Medicinal Chemistry San Diego, CA The successful candidate will utilize the Genesis Molecular AI platform and guide medicinal chemistry efforts to drug discovery programs from Hit ID through candidate nomination. They will collaborate and/or lead multidisciplinary drug discovery projects and be responsible for shaping medicinal chemistry strategy on those projects. The candidate will be expected to be a medicinal chemistry leader and strong communicator. What You Will Do (Key Responsibilities) - Formulate medicinal chemistry strategies and utilize the Genesis platform to execute drug discovery programs from Hit ID through candidate nomination. - Use Structure-Based Drug Design (SBDD) principles, optimize physiochemical properties, interpret in vitro and in vivo ADME/PK/Toxicology data, and understand in vitro and in vivo biology data to drive programs. - Use data visualization software and metric based analysis to form medicinal chemistry hypotheses and prioritize strategies. - Communicate and work with industry collaborators on drug discovery projects. - Work with other drug discovery disciplines (biology, DMPK, software engineers, computational chemists) to drive hypothesis driven decisions, improve the platform and contribute to the scientific excellence of the company. - Communicate and engage regularly with project team members and management. - Mentor internal chemists as well as other scientific disciplines on medicinal chemistry principles. What you'll bring - PhD in synthetic organic chemistry or medicinal chemistry with at least 12 years of industrial drug discovery experience OR - MS in synthetic organic chemistry with at least 18 years of industrial drug discovery experience. - Expert medicinal chemistry knowledge

  • Chief of Staff to the CEO

    San Mateo, CA

    unspecified Salary not disclosed

    Chief of Staff to the CEO San Mateo, CA Role Summary We are seeking a Chief of Staff to report directly to and support our CEO in key elements of operations and strategy. You'll have direct access to a CEO building at the frontier of AI and drug discovery, at a company with real scale ($300M+ raised, pharma partnerships, an internal pipeline) and real ambition. As a Chief of Staff to the CEO, you'll be at the center of how Genesis operates and where it's going. That means owning the systems that keep the leadership team aligned - quarterly and annual planning, board meeting preparation, exec team facilitation - while also acting as the CEO's trusted voice in internal and external communications. What You'll Do - Provide thought partnership to our leaders. You'll work closely with the CEO and leadership team to drive strategic decisions and contribute to company strategy - Be a force multiplier. You'll take on strategic work directly on behalf of the CEO, owning ad-hoc strategic projects that require pulling together resources and perspectives across the organization - Keep a pulse on the business. You'll meet regularly with teams across the company to surface headwinds, identify inefficiencies, and connect dots that leaders embedded in their functions can't easily see - Drive strategy and operating rhythm. You'll be a thought partner on company strategy and own the systems that keep the leadership team aligned and moving: quarterly and annual planning, OKR setting, exec team meetings, and board meeting

  • Fullstack Software Engineer (Senior / Staff)

    San Mateo, CA, New York, NY

    unspecified Salary not disclosed

    Fullstack Software Engineer (Senior / Staff) San Mateo, CA, New York, NY Fullstack Software Engineer (Senior / Staff) Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform. You will - Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight - Build and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows - Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction - Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs You are - A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem - Comfortable owning problems across the entire stack - frontend interfaces, backend services, data pipelines, and infrastructure - Experienced shipping production code and driving projects end-to-end with minimal hand-holding - Excited to work at the intersection of software engineering, drug discovery, and machine learning What we offer - The opportunity to work on high impact tools and products that are

  • CompChem Research Scientist (Free Energy Methods) - Sr. - Principal

    NYC or SF Bay Area, NYC, or SF Bay Area, California or NY, United States

    unspecified Salary not disclosed

    CompChem Research Scientist (Free Energy Methods) - Sr. - Principal NYC or SF Bay Area, NYC, or SF Bay Area, California or NY, United States About Genesis Molecular AI Genesis Molecular AI unifies cutting edge molecular machine learning with rigorous physics to discover novel small molecule therapies for severe diseases. Our molecular AI platform, GEMS, combines generative models and high throughput molecular simulation to search chemical space and prioritize compounds with unprecedented speed and accuracy. We are bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions, by combining the power of machine learning and physics-based methods. About the Team Our computational chemistry team partners with ML researchers, medicinal chemists, and biologists to turn our computational models into real drug candidates for our internal pipeline and our pharma collaborators. You will join a team led by experienced drug hunters and method developers across statistical mechanics, free energy methods, and computer aided drug design. About the Role We are looking for a binding free energy specialist, who is comfortable both with the theory necessary to propose new methodological ideas and with coding necessary to implement them. This individual will advance free energy methods across our platform and own their delivery. You will be the person our teams turn to when they need physics based ranking of tight binders, especially in potency regimes where current models start to flatten out. Your work will directly shape which compounds we make, which ones move forward,

  • Software Engineer - Core Infrastructure

    San Mateo, CA

    unspecified Salary not disclosed

    Software Engineer - Core Infrastructure San Mateo, CA Genesis Therapeutics is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for an Infrastructure Engineer that is excited to help develop new medicines and play a critical role in building out our AI platform. You Will - Work on our infrastructure team to maintain and grow our multi-cloud compute infrastructure that supports our ML model training, computational chemistry research, and ongoing drug discovery efforts - Build out our configuration and procedures for monitoring, resource allocation, and deployment automation, as we continue to grow our autoscaling compute clusters to handle larger workloads - Work on orchestration scheduling framework to increase our execution throughput, reliability, and compute utilization across heterogeneous pipelines You Are - 5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP - Proficient with Python, Bash, Terraform, Ray and Kubernetes - Ideally, experience building and maintaining compute clusters running distributed ML training jobs with 1,000+ GPUs - Nice to have: hands-on experience with physical hardware + datacenter management What We Offer - The opportunity to work on high impact infrastructure that is used to accelerate the discovery of new medicines - A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology - Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program About Genesis Molecular AI Genesis Molecular AI is pioneering

  • Software Engineer - ML Infrastructure

    San Mateo, CA, Remote, New York, NY

    remote Salary not disclosed

    Software Engineer - ML Infrastructure San Mateo, CA, Remote, New York, NY About the Team We're a tight-knit team of proven drug hunters, deep learning researchers, and software engineers united by a common mission - drive AI innovation in biochemistry, discovering and developing groundbreaking therapies for patients suffering from severe disorders. Genesis AI team is focused on developing foundation models for small molecule drug discovery by conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, as well as engineering robust software systems that enable running large scale simulations and training generative and predictive AI models designed to learn from all kinds of molecular data, leveraging our cluster with 1000s of GPUs and 10,000s of CPUs. About the Role We're seeking experienced ML infrastructure engineers to join the team and lead engineering efforts focused on driving forward our ML research agenda for generative modeling of molecular systems, which is instrumental to our mission. As an engineer at Genesis, you will lead rapid iteration on our AI platform and infrastructure, unlocking the next level of performance, efficiency, and scale that was not previously possible. You will build massively distributed training and inference pipelines, core MLOps tools and frameworks, and optimize GPU operations to speed up ML models. Genesis is a highly-collaborative and cross functional environment, and you will work in close partnership with our exceptional engineers, researchers, and scientists. You Will - Lead engineering efforts focused on continuous improvement of the AI platform, focused on rapid build out

  • Product Management Lead

    San Mateo, CA, New York, NY, Remote, San Diego, CA

    remote Salary not disclosed

    Product Management Lead San Mateo, CA, New York, NY, Remote, San Diego, CA Genesis Molecular AI is pioneering a transformative approach to drug discovery by leveraging state-of-the-art machine learning, computational chemistry, and biology. Our mission is to accelerate the development of life-changing therapies by merging cutting-edge technology with innovative science. We are building a world-class team to drive forward the future of drug discovery. About the Team: We are a mission-driven group of scientists and engineers using cutting-edge computational methods to discover drugs for unmet medical needs. Our work spans machine learning, computational chemistry, biology, and wet lab experimentation , all operating within a high-trust, deeply technical environment. You'll join a team with extremely strong ML talent that is actively pushing the frontier of AI in drug discovery . We are refining how experimental data, biological context, and computational models integrate into a seamless feedback loop. You will help reshape how data flows from experiment → infrastructure → model → decision and increase the speed and scale at which we learn. The Role This is a builder-integrator role inside a deeply technical, cross-domain environment spanning AI/ML, engineering, computational chemistry, biology, and wet lab operations. You will serve as the connective tissue and acceleration engine across these domains. You will work closely with senior leadership to own roadmap definition and execution across critical internal platforms while driving structural improvements in how our teams operate. This role exists to: - Bridge domain silos and reduce friction between ML experimentation and biological context

  • ML Research Scientist, Foundation Models (Senior / Staff / Principal)

    San Mateo, CA, New York, NY

    unspecified Salary not disclosed

    ML Research Scientist, Foundation Models (Senior / Staff / Principal) San Mateo, CA, New York, NY ML Research Scientist, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. The Genesis AI team is building an engine for this revolution. You will work side by side with the top multidisciplinary researchers to design and build generative and discriminative foundation models at scale from the entire spectrum of molecular data, having access to ample compute and large-scale simulations. About the Role This is an opportunity for a scientific innovator to advance the future of generative AI in drug discovery. As a key member of the Genesis AI team, you will shape and drive our research agenda for foundation models. You will lead critical research initiatives in areas like reinforcement learning, novel model architectures, and advanced pretraining and post-training methods. Your core mission is to create groundbreaking models and insights that are instrumental in discovering new medicines. This role requires a deep curiosity and a collaborative spirit. You will be a

  • ML Research Engineer, Foundation Models (Senior / Staff / Principal)

    San Mateo, CA, New York, NY

    unspecified Salary not disclosed

    ML Research Engineer, Foundation Models (Senior / Staff / Principal) San Mateo, CA, New York, NY ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI , we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that unlock new therapies for patients with severe diseases . We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry , pushing the boundaries of each field. The Genesis AI team is building the engine for this revolution. We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines. The work sits at the intersection of machine learning research, structural biology, and computational chemistry , requiring deep technical rigor and strong interdisciplinary collaboration. About the Role This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering . As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science . You will partner closely with ML researchers, computational chemists, and drug discovery scientists to translate cutting-edge model ideas into systems that power real drug discovery programs . Your work may involve: - Scaling model pretraining