About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As our Senior Technical Recruiter, you will own and shape the talent function at one of the most exciting companies in AI. You will design and execute our recruiting strategy across engineering, science, and go-to-market, and you will eventually help build the team that accelerates scientific discovery for the world. You will operate in a fast-paced, high-growth environment, managing our AI engineering and other technical roles (and some non-technical roles). You will work directly with our engineers, scientists, and CEO to deeply understand what we're building and who we need to build it. You will bring and execute on world-class knowledge of tools and processes that will help us scale to 2x, 3x, even 5x our size, all while ensuring an exceptional candidate experience. This is a full-cycle recruiting role today with a strong trajectory to talent leadership. As Edison grows, this role grows with it. 

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and reminders of the scientific breakthroughs we want to accelerate. You will report to our talent leader. 

Responsibilities

• Own end-to-end recruiting across technical and non-technical roles: sourcing, screening, coordinating, closing
• Design and continuously improve our recruiting strategy, processes, and candidate experience
• Partner directly with hiring managers — including engineers, scientists, and our CEO — to define hiring priorities, calibrate on candidates, and make great hiring decisions
• Proactively source exceptional talent across AI engineering, applied science, and go-to-market functions
• Advise our existing recruiting team, providing ongoing direction, feedback, and development
• Build and maintain a strong pipeline of candidates before roles formally open
• Use market intelligence and internal metrics to inform your hiring strategy
• Serve as a trusted advisor to the team throughout evaluation and closing, especially for senior and highly technical candidates

Qualifications

• 8+ years of full-cycle recruiting experience, with a strong track record in technical roles (AI/ML, software engineering, or scientific computing strongly preferred)
• Experience recruiting for early-stage, fast-moving companies where the role definition evolves and ambiguity is the norm
• Proven ability to close senior and highly specialized candidates, including navigating complex negotiations
• Strong instincts for talent: you can assess a candidate quickly, advocate clearly, and push back when needed
• Experience managing or mentoring fellow teammates
• Entrepreneurial mindset
• Deeply organized with exceptional attention to candidate experience at every stage

Bonus points for

• Experience recruiting for life sciences, biotech, or AI-for-science companies
• Familiarity with Ashby or similar modern ATS platforms
• Background working closely with a founding team or CEO on talent strategy

Salary

• $180,000 – $220,000 • Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit per quarter 
•  Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Forward Deployed Engineer, you'll be embedded directly with one of the world's leading science R&D organizations – taking full ownership of how Edison's AI agents create value in their environment. You'll need to deeply understand their science, their workflows, and their pain points, then determine where our platform can have the most impact.

This isn't remote support or implementation consulting. You'll be on-site, building relationships with scientists and research leaders, identifying the highest-leverage problems, and shipping solutions in fast cycles – often end-to-end. You'll operate with a high degree of independence and serve as the bridge between what our platform can do and what the customer needs it to do, feeding insights back to our product and engineering teams to shape the roadmap.

Responsibilities

• Be embedded at a client site, understand their research workflows deeply, and take responsibility for maximizing the value Edison delivers to that organization.
• Map the customer's scientific and operational landscape to identify where AI agents can have the most impact – not just where they ask for help, but where the real leverage is.
• Design, implement, and iterate on production-ready integrations in fast cycles, often owning features end-to-end from architecture to rollout.
• Troubleshoot issues in real time, ensure reliability and adoption, and be the go-to technical contact for AI within the client organization.
• Capture pain points, unmet needs, and product gaps and work with our internal Applied AI and engineering teams to shape future capabilities.

Qualifications

• 4+ years of professional software engineering experience, with a track record of shipping production-grade software in fast-paced or ambiguous environments.
• Comfortable operating independently, making decisions with incomplete information, and driving outcomes without close oversight.
• Strong problem-solving skills and comfort navigating complex systems, debugging issues in real time, and owning features end-to-end.
• Proficiency in Python and/or TypeScript/JavaScript.
• Strong communication and relationship-building skills – able to earn trust with scientists, executives, and engineering teams.
• Willingness to learn new scientific domains quickly and adapt to rapidly evolving priorities.

Bonus points for:

• Experience in life sciences, pharma, biotech, or scientific R&D – either as a researcher, consultant, or engineer working in these environments.
• Experience working with AI/ML systems, LLM-powered applications, or agent architectures.
• Background as a technical founder, forward-deployed engineer, or management consultant.
• A science degree or research experience alongside your engineering skills.

Compensation

• $200,000 - $350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

We're looking for an Applied AI Engineer to join the team responsible for building Edison's most powerful AI agents. Half of the public agents on our platform, including Kosmos, our flagship product, came directly out of this team.

You'll own the development and maintenance of production agents, prototype new capabilities with our internal science and engineering teams, and shape how our platform evolves. You'll spend some time with customers to understand real workflows and validate what you're building, but your primary focus is on the agents themselves – making them more capable, more reliable, and more useful across the life sciences.

Responsibilities

• Architect, implement, and maintain the AI agents that power Edison's platform, from prototype through production.
• Work with our internal science and engineering teams to explore new agent architectures, prompting strategies, tool integrations, and evaluation frameworks.
• Develop reusable infrastructure – agent skills, tool-use pipelines, benchmarks – that improves every agent on the platform.
• Spend time with R&D partners (~30%) to understand their workflows, test what you've built in real environments, and bring insights back to the team.
• Translate field insights and internal research into product direction – help the team prioritize what to build next.

Qualifications

• 3+ years of professional software engineering experience, with production experience shipping systems that real users depend on.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Strong engineering foundation in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related technical field.
• Proficiency in Python and/or TypeScript, with comfort picking up new tools and frameworks quickly.
• Able to work across engineering, science, and product teams.
• Comfortable building from scratch, driving clarity in ambiguous situations, and wearing multiple hats.

Bonus points for:

• Experience in life sciences, biomedical research, scientific computing, or technical R&D workflows.
• Experience building agent systems, tool-use pipelines, or evaluation/benchmarking frameworks for AI applications.
• Contributions to open-source scientific or AI tooling.

Salary

$160,000 - $280,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Principal Platform Engineer, you'll play a key role in designing, scaling, and operating the core platform infrastructure that powers autonomous scientific discovery. Your primary focus will be the orchestration for our agents at scale — building and managing clusters that orchestrate thousands of persistent, stateful workloads, developing custom resource definitions (CRDs) and operators, and ensuring the reliability and efficiency of our compute layer at scale.

Our mission is to build an AI scientist, and you'll own the infrastructure foundation it runs on. AI agents performing long-running scientific research demand resilient scheduling, lifecycle management, and resource orchestration far beyond typical cloud-native workloads. This role will influence platform architecture, establish infrastructure best practices, and partner closely with backend engineers, ML engineers, and researchers to deliver a production-grade environment that lets science move faster.

At Edison Scientific, engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team. 

Responsibilities

• Architect, implement, and operate Kubernetes clusters that support thousands of concurrent, persistent resources (agents, jobs, services) with high availability and efficient resource utilization.
• Design and develop custom resource definitions (CRDs) and Kubernetes operators to model and manage domain-specific workloads such as AI agent lifecycles, research pipelines, and long-running compute tasks.
• Drive the strategy for cluster scaling, node pool management, autoscaling policies, and resource quota frameworks to handle rapid workload growth.
• Build and maintain infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible, version-controlled environment management.
• Design and implement robust scheduling, placement, and affinity strategies to optimize cost, performance, and fault tolerance for heterogeneous workloads (CPU, GPU, memory-intensive).
• Establish and uphold best practices around observability, monitoring, alerting, and incident response for infrastructure systems (Prometheus, Grafana, Datadog, or similar).
• Own storage and networking strategy within Kubernetes — including persistent volume management, CSI drivers, service mesh, network policies, and ingress architecture.
• Troubleshoot complex, cross-system infrastructure issues and guide others through effective debugging and remediation in distributed environments.
• Collaborate closely with backend, ML, and research teams to understand workload requirements and translate them into reliable infrastructure patterns.

Qualifications

• 5+ years of professional infrastructure or platform engineering experience, with deep hands-on Kubernetes expertise in production environments.
• Experience designing and implementing custom resource definitions (CRDs) and Kubernetes operators (using frameworks such as Kubebuilder, Operator SDK, or controller-runtime).
• Track record of operating and scaling Kubernetes clusters supporting thousands of persistent or long-lived resources (stateful workloads, persistent pods, long-running jobs).
• Deep understanding of Kubernetes internals — API server, etcd, scheduler, controller manager, kubelet — and how they behave at scale.
• Expertise with cloud infrastructure (AWS EKS, GCP GKE, or Azure AKS) and associated networking, storage, and IAM primitives.
• Proficiency in at least one systems or backend language for operator development and infrastructure tooling.
• Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or Crossplane) and GitOps workflows.
• Strong working knowledge of container networking (CNI plugins, service mesh, network policies), storage (CSI, persistent volumes, StatefulSets), and security (RBAC, Pod Security Standards, secrets management).
• Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.

Bonus points for:

• Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.
• Prior experience in startups or small teams with significant architectural ownership and ambiguity.
• Experience scaling systems, teams, or platforms through periods of rapid growth.

Salary

$200,000 - $350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As an Senior/Principal AI Research Scientist at Edison Scientific, you play a central role in developing the models and algorithms that accelerate scientific research. Your role will encompass both cutting-edge research and applied methods, bringing your work to bear on scientific challenges in laboratories and scientists around the world. 

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team excited about what we’re building.

Responsibilities

• Interpret challenges in building AI agents for science as well-formulated statistical problems
• Conduct research in post-training of LLMs on challenging scientific reasoning tasks, with the goal of exceeding expert human capacity
• Conduct research in optimal sampling techniques, considering aspects like efficient exploration and quality-diversity
• Own research projects end-to-end, from working with scientists to scope the problem all the way to working with engineers to deploy the outcomes
• Develop and extend our experimentation platform for internal tools and projects.
• Collaborate closely with a multidisciplinary team of AI researchers, engineers, biologists, and chemists, fostering an environment of innovation and discovery.

Qualifications

• 6-10+ years of strong track record of ML research on real-world problems in (but not limited to) reinforcement learning, representation learning, and Bayesian methods
• Fluency in PyTorch, Jax, or equivalent framework
• Experience with large-scale training and experimentation technologies (e.g. Ray, verl, Megatron-LM, etc.)
• Experience working with data and ML systems: EDA, feature engineering, model development, model deployment, and validation in production systems.
• Familiarity with modeling in PyTorch, Jax or equivalent framework.
• Demonstrated experience with experimentation in academic or industry settings.
• Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.

Bonus points for:

• PhD in Machine Learning, Computer Science, or other quantitative field
• Familiarity with leveraging and managing distributed systems

Salary

$210,000 - $350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Principal Machine Learning Engineer at Edison Scientific, you play a central role in building the models and agents that accelerate scientific discovery. You will work on both cutting edge research and practical engineering, bridging advanced machine learning concepts with robust, reliable software that real scientists depend on.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team excited about what we’re building.

Responsibilities

• Interpret qualitative challenges in building AI agents for science as well-formulated optimizable problems
• Build appropriate environments in which to train and deploy AI agents that solve scientific tasks
• Work with scientists to formulate training data pipelines, and scale them, ensuring observability and reproducibility
• Lead training of large-scale LLM-based systems, including building internal infrastructure to improve the efficiency of experimentation and production training runs
• Build efficient and flexible inference infrastructure, supporting complex sampling algorithms and custom architectures
• Develop and extend our experimentation platform for internal tools and projects.
• Collaborate closely with a multidisciplinary team of AI researchers, chemists, biologists, fostering an environment of innovation and discovery.

Qualifications

• 8-10+ years of strong track record of work in applied ML research and application of ML methods to solving real-world problems
• Experience working across the ML lifecycle: data pipelines and provenance, model training, model deployment, and validation in production systems.
• Fluency in PyTorch, Jax or equivalent framework.
• Demonstrated experience with experimentation in academic or industry settings.
• Strong programming expertise with the capability to adapt to various technical challenges in the data, ML, and LLM software stack.

Bonus points for

• PhD in Machine Learning, Computer Science, or other quantitative field
• Familiarity with leveraging and managing distributed computing resources
• Background architecting complex distributed systems

Salary

$275,000 - $350,000 •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

Life at Edison Scientific

At Edison Scientific, we’re reimagining what’s possible when brilliant minds from science and technology work side by side.  Our office hums with curiosity and shared purpose- biologists, engineers, and AI researchers trading ideas at whiteboards, in the wet lab, or over coffee. We believe the best breakthroughs come from open dialogue, deep focus, and genuine collaboration.

What Brings Us Together

At Edison Scientific, we share a belief that AI can transform how science is done- not by replacing researchers, but by amplifying their ability to explore, discover, and create.

We bring together people who are deeply curious, rigorously scientific, and unafraid to experiment.  Our culture values both precision and play- the discipline of the lab and the creativity of open inquiry.

We are a tight-knit, collaborative research culture built around small, integrated teams of biologists, engineers, and AI researchers. We believe the best way to enable discovery is to empower exceptional people to pursue “big-if-true” ideas- rapidly, iteratively, and without the typical distractions of grants, bureaucracy, or rigid hierarchies.

We stay flat and flexible, guided by transparency, kindness, and intellectual honesty.  Every individual at Edison has a voice in shaping the science, the systems, and the culture we’re building together.

Because at the end of the day, what brings us together is simple:  the shared drive to accelerate discovery and expand what’s possible for science.

What We Offer

• Work alongside incredibly smart, mission-driven people
• Take on problems far more interesting than optimizing ads or buttons- you’ll help solve science and accelerate discovery
• Access to extensive resources, including a fully equipped wet lab and high-performance compute
• We publish our work openly
• We work together in person five days a week- because collaboration matters, and because we genuinely enjoy it!

HR Stuff (a.k.a. the Perks)

• Competitive compensation packages
• 401(k) matching
• 100% employer-covered medical, dental, and vision premiums for you and your dependents
• Generous leave and support programs for new parents
• Family planning benefits through Carrot Fertility, including financial support and expert guidance for fertility treatments, adoption, surrogacy, pregnancy and postpartum care, menopause support, and gender-affirming care
• Quarterly health & wellness stipend
• Flexible time off
• Relocation stipend (if needed)
• The opportunity to join an ambitious, fast-moving startup

A Place We Actually Enjoy Being

We come to the office because it makes the work- and the experience- better.  Our Dogpatch headquarters is a space designed for invention: natural light, art, lab glass, and a hum of conversation from people who genuinely like each other.

You’ll find spontaneous brainstorms, scientific demos, and the occasional Friday evening experiment that turns into a celebration of progress!

Does this sound like something you’d want to be part of?  If so, please apply!

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

We are seeking an ambitious, scientifically grounded person to join our team focused on developing rigorous benchmarks and training datasets that advance AI capabilities in biology. This role sits at the intersection of biology, data curation, and machine learning, and is ideal for someone with deep scientific training who is excited to shape how frontier AI systems learn to do science.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Evals team. 

Responsibilities

• Design benchmarks that capture the complexity of real biological research, drawing on your domain expertise to identify what makes scientific reasoning hard. This will include open-ended scientific benchmarks and building on prior work like LAB-Bench and BixBench.
• Curate and vet biological datasets to ensure scientific rigor.
• Analyze model outputs, identify failure modes, and contribute to iterative improvements in both datasets and evaluation criteria.
• Collaborate with AI/ML researchers to translate scientific intuition into training signal, helping AI systems learn not just facts but how scientists think.
• Coordinate operations and manage workflows, including working with domain experts, tracking task progress, and maintaining documentation.

Qualifications

• Graduate-level training in biology, biochemistry, computational biology, or a related field, with hands-on research experience.
• Working knowledge of machine learning concepts, particularly deep learning and large language models.
• Comfortable with Python and building workflows for data processing, analysis, and experimentation.
• Possess strong scientific taste and able to identify what distinguishes expert-level reasoning from surface-level pattern matching.
• Detail-oriented and willing to take on high-value but occasionally tedious work.
• Energized by ambiguous, open-ended problems that require creativity, collaboration, and first-principles thinking to solve.
• Organized and communicative, able to manage multiple workstreams and coordinate across teams.

Bonus points for

• Prior experience creating evaluation datasets, annotation guidelines, or working on human-in-the-loop data pipelines.
• Experience with bioinformatics pipelines, biological databases, or sequence analysis tools.
• Hands-on experience fine-tuning or evaluating large language models, or familiarity with RLHF and preference-based training.
• Publications or research experience in areas relevant to AI for science.

Salary

$160,000 - $300,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

We are seeking a Technical Product Manager (TPM) who can bridge the gap between our clients and internal teams and drive world-class product development. This person will serve as a translator and strategist - deeply understanding client needs, aligning them to our vision, and guiding our technical teams to deliver impactful products.  A strong technical background in biology (e.g., molecular biology, bioinformatics, or related domains) and artificial intelligence is essential to effectively calibrate between external partners and internal engineering/research stakeholders.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building. 

Responsibilities

• Partner closely with clients to understand their scientific and business needs, then translate those into clear, actionable, and critical product requirements.
• Work hand-in-hand with researchers, engineers, and designers to define and prioritize product roadmaps.
• Develop a strong technical perspective on complex biomolecular workflows and data, ensuring product decisions are scientifically grounded.
• Calibrate between external expectations and internal capabilities, balancing ambition with feasibility.
• Define success metrics, evaluate product performance, and adjust direction based on scientific and client feedback.
• Act as the internal advocate for client needs while also educating clients on the possibilities and constraints of our platform.
• Drive alignment across multi-disciplinary teams to deliver high-quality products on time.

Qualifications

• 4+ years of experience in product management, technical consulting, or a related role in biotech, life sciences, or computational biology.
• Strong foundation in biology, with expertise in areas such as molecular biology, synthetic biology, cellular biology, or computational biology.
• Knowledge of AI/ML applications in the life sciences.
• Proven ability to work with both external stakeholders (clients, partners, collaborators) and internal technical teams.
• Strong communication skills, with the ability to explain technical concepts clearly to both scientific and non-scientific audiences.
• Experience defining product roadmaps and translating complex scientific requirements into structured development plans.
• Comfort navigating ambiguity and balancing multiple competing priorities in a fast-moving environment.
• Excellent people and mediation skills.
• Bachelor’s degree in biology, bioengineering, computational biology, or related technical field (advanced degree a plus).
• Based in the San Francisco Bay Area or willing to relocate.

Bonus points for

• Experience in startups or high-growth environments.
• Familiarity with regulatory considerations in biotech product development.

Salary

$175,000-$240,000  •  Offers Equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Principal Full-Stack Engineer (Backend-Focused) you’ll play a key role in shaping and scaling our core platform that automates scientific discovery. You’ll work across the stack, with a strong emphasis on backend systems- designing and evolving services, APIs, data pipelines, and infrastructure- while also contributing to critical user-facing workflows.

Our mission is to build an AI scientist, and you’ll help define and build the tools, interfaces, and data systems it relies on. This role goes beyond implementation: you’ll influence architectural direction, establish engineering best practices, and partner closely with frontend engineers, designers, and researchers to deliver robust, end-to-end solutions.

At Edison Scientific, full-stack engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team. 

Responsibilities

• Architect, design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.
• Drive technical decisions across the stack, balancing scalability, reliability, security, and developer velocity.
• Lead the design and evolution of data pipelines supporting AI agents and research workflows.
• Contribute to and review frontend features and workflows, ensuring seamless integration with backend systems.
• Establish and uphold best practices around testing, monitoring, observability, and incident response.
• Troubleshoot complex, cross-system issues and guide others through effective debugging and remediation.
• Collaborate closely with engineering, design, and research teams to scope, plan, and ship new AI-driven capabilities.
• Mentor and support other engineers, raising the technical bar and fostering a strong engineering culture.
• Act as a trusted technical partner in a highly collaborative team working at the frontier of AI for science.

Qualifications

• 5+ years of professional software engineering experience, with significant experience across backend systems and full-stack development.
• Deep proficiency in one or more backend languages (e.g., Python, Node.js), with a strong track record of designing production systems.
• Extensive experience designing, building, and evolving APIs (FastAPI, REST; GraphQL a plus).
• Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.
• Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes preferred).
• Proven experience building and maintaining CI/CD pipelines, automated testing strategies, and observability systems.
• Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.
• Strong communication skills and experience collaborating across disciplines in fast-moving environments.

Bonus points for

• Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.
• Prior experience in startups or small teams with significant architectural ownership and ambiguity.
• Experience scaling systems, teams, or platforms through periods of rapid growth.

Salary

$200,000- $350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Frontend Engineer, you will help build our “integrated research environment” and design a UX that empowers scientists to integrate AI into their discovery process.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Platform team. 

Responsibilities

• Architect, design, implement, and optimize the front-end for our scientific discovery platform with a focus on performance and scalable UI patterns.
• Translate complex AI-driven scientific workflows into clear, intuitive, and well-signposted user experiences.
• Work closely with product and research teams to anticipate user needs and features.
• Develop and maintain a modular design system.
• Profile and optimize rendering performance, asset loading, and interaction responsiveness across browsers and devices.
• Integrate real-time data visualizations and dynamic interfaces to empower scientists on our platform.
• Conduct code reviews, enforce engineering best practices, and contribute to front-end architecture decisions.

Qualifications

• 4+ years of professional experience in front-end engineering, with a track record of shipping performant, complex, and data visualization-heavy web applications.
• Proficiency with React (preferred) or a comparable framework, along with deep experience in JavaScript/TypeScript.
• Strong understanding of browser rendering pipelines, performance profiling, and optimization techniques.
• Experience with real-time data handling (e.g., WebSockets, GraphQL subscriptions) and interactive visualizations (e.g., D3.js, Deck.gl, Three.js).
• Ability to transform technical and scientific requirements into elegant, usable visualizations & interfaces.
• Experience building design systems and reusable component libraries.
• Knowledge of accessibility standards and responsive design principles.

Bonus points for:

• Experience with scientific data visualization, computational biology, or AI/ML tools.
• Familiarity with back-end integration patterns for high-throughput data pipelines.

Salary

$175,000 - $240,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Strategic Partnerships Lead, you will lead Edison’s engagement with the pharmaceutical and biotech sectors.  You’ll be responsible for generating new business, securing transformative partnerships, managing key accounts, and shaping our go-to-market strategy.  This role blends strategic leadership with hands-on dealmaking and offers the opportunity to directly influence the adoption of AI in science at scale.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Business Development team.

Responsibilities

• Identify and secure new partnerships by leading proposals, negotiations, and contracting processes.
• Translate the value of the AI Scientist into compelling narratives that resonate with technical and executive stakeholders.
• Shape go-to-market strategy by contributing competitive intelligence, refining market positioning, and building repeatable playbooks.
• Promote Edison externally through thought leadership, events, and industry engagement, driving visibility and adoption in pharma and biotech.
• Collaborate cross-functionally with internal product, engineering, and research teams to ensure client needs are met and delivery is seamless.
• Represent Edison at key events, conferences, and executive-level meetings as the face of our business development efforts.

Qualifications

• 5+ years of business development experience, ideally in biotech, pharma, or AI-driven startups.
• Demonstrated high-agency experience in BD, strategy, or founder/operator roles, with a proven ability to build and scale new initiatives.
• A strong track record of closing creative, high-value deals in category-defining products or emerging markets.
• Exceptional communication and storytelling skills, with the ability to make complex technical and scientific concepts resonate with diverse stakeholders.
• A systems thinker who can also execute with precision and urgency.
• Comfortable navigating ambiguity and driving progress in 0→1 environments.

Bonus points for

• Deep understanding of pharma R&D and its commercial landscape.
• Background in computational biology, drug discovery, or machine learning.

Salary

$200,000-$350,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

As a Member of Technical Staff - Computational Biology, you'll build and evaluate AI agent systems to automate biological discovery. You'll focus on improving how LLMs execute complex scientific tasks, creating benchmarks to measure their performance, and collaborating with researchers to generate and validate novel findings in biology.

You'll be working alongside exceptionally smart, mission-driven people on problems that genuinely matter. Instead of optimizing ad clicks, you'll be advancing science and making breakthrough discoveries in basic research. We're well-resourced with a wet lab, extensive compute, and the tools you need to do your best work. 

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building. 

This position is part of the Discoveries team. 

Responsibilities

• Improving the ability of LLM agents to execute long, coherent data-driven discovery tasks
• Building benchmarks to automatically evaluate the performance of LLM agents on a wide variety of scientific tasks
• Working with collaborators to apply AI agents to make novel discoveries in biology
• Evaluating the accuracy of AI-generated discoveries through independent human analysis
• Leading or contributing to publications describing technical achievements

Requirements

• PhD in biological science, broadly defined  
• Experience analyzing one or more of the following types of complex biological data in a first-author publication: sc-omics data, high throughput screen data, proteomics or lipidomics data, human genetic data, imaging data, or protein structure data. 
• Expertise in one area of mammalian biology
• Familiar with the advantages and limitations of chat-based LLM and agentic coding tools to perform data analysis tasks in biological research
• Strong critical thinking skills and ability to identify mistakes in LLM-generated analyses
• Excellent written and verbal communication skills 
• Good attention to detail

Bonus points for

• You enjoy quickly iterating on ideas through rapid prototyping
• You operate with high independence, and like to execute complex tasks to completion with minimal supervision
• You thrive when working on a diversity of projects in sprint-based formats, and have high comfort with uncertainty
• You enjoy trying out the newest AI tools 
• You are proficient in experimental design, and could execute experiments yourself or via a CRO if necessary

Salary

$160,000 - $250,000  •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

About

Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.

Role

We’re looking for an exceptional Business Development Representative to support our commercial growth with biotech companies and academic organizations. This is a high-ownership role for someone who wants to contribute to the future of science.

You’ll work directly with leadership, product, and engineering teams to bring Edison Scientific to market, close early customers, and turn learnings into repeatable processes.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Business Development team.

Responsibilities

• Engage with biotechnology and academic accounts, translating complex capabilities into clear value.
• Own the full revenue generation cycle: prospect, discover, solution, negotiate, and close.
• Partner closely with product and engineering teams to relay customer feedback and assist in helping shape the roadmap.
• Help define ICP, messaging, pricing, and business development process in an early-stage environment.
• Build trusted relationships with early customers and turn them into long-term partners.
• Contribute to go-to-market strategy as we scale from early adopters to broader adoption.

Qualifications

• 4-6 years of experience in business development, ideally in SaaS, data, developer tools, or scientific/technical platforms.
• Experience selling complex or technical products to sophisticated buyers, ideally in life sciences.
• Comfort operating in early-stage, ambiguous environments with little existing structure.
• Strong discovery and storytelling skills- you can connect technical detail to business impact.
• Builder mindset: you enjoy creating processes, not just following one.
• High integrity, curiosity, and genuine interest in advancing science or healthcare.
• Comfortable navigating ambiguity and driving progress in 0→1 environments.

Bonus points for

• Advanced degree in biology, bioengineering, computational biology, or related field.

Salary

$200,000- $250,000 OTE (50/50 split) •  Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage — we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• 401(k) company matching
• $300 health and wellness benefit
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team offsites and company events
• A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it