Jobs at Goodfire

Conduct original interpretability research with customers, analyze advanced AI models, prototype techniques to visualize and manipulate model structures, and translate research into production-ready tools. Lead high-stakes project delivery by defining hypotheses, sourcing data, building tools, and iterating with engineering and customer partners. Help shape the company’s research direction while communicating complex technical concepts clearly.

Conduct original research on interpreting and designing biological foundation models for customer applications including precision medicine, digital pathology, and drug discovery. Develop techniques to visualize and manipulate model structures, source data, build tools, and collaborate with engineering to productionize research. Work directly with customers and partners while helping shape research direction. Requires strong biology, computational biology or bioinformatics, machine learning, Python, PyTorch, and communication expertise.

Own technical delivery for strategic AI partner engagements by building production integrations, custom pipelines, tooling, evaluation workflows, and short-term pilots. Embed with customer engineering teams, bridge interpretability research and production systems, prototype and harden novel techniques, and share reusable learnings across engagements. The role requires strong Python and modern machine learning engineering skills, rapid learning, technical communication, and comfort working in ambiguous, customer-facing environments.

Own recruiting strategy and execution across all functions, build a proactive sourcing engine for exceptional AI researchers and engineers, lead the end-to-end interview process, maintain hiring standards, manage recruiting analytics and headcount forecasting, deliver an excellent candidate experience, and build a high-performing recruiting team.

Provide high-touch support to the COO and Principal Investigator by managing calendars and inboxes, coordinating travel and meeting logistics, handling personal tasks, organizing internal/external meetings and events, and partnering with Operations to maintain an exceptional employee experience in a fast-paced startup environment.

The Product Marketing Lead will define messaging, shape the AI interpretability category, drive product launches, and create sales materials, engaging effectively with technical audiences.

The Demand Generation Lead will design and execute marketing campaigns to attract technical AI builders, analyze results, and optimize outreach strategies.

Lead technical product marketing and brand strategy at Goodfire, articulating AI interpretability to engineers and technical leaders. Shape narratives, craft product positioning, and collaborate across functions to communicate breakthroughs in AI.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

Lead strategic sales for LLM-focused accounts: build pipeline, run technical discovery with CTOs and research leaders, scope pilots with Field Team, negotiate agreements, expand engagements, and develop repeatable vertical playbooks that translate technical roadmaps into commercial outcomes.

Goodfire seeks senior leaders to drive strategy and growth in AI interpretability. Ideal candidates will have experience building teams and delivering impactful technology solutions.

The Research Scientist will conduct original research on AI interpretability, prototype visualization techniques, and collaborate on research-to-production projects.

The Senior Founding Recruiter will build the talent acquisition function, manage full cycle recruiting for AI/ML roles, and maintain a proactive talent pipeline.

Own full-cycle GTM recruiting for sales, marketing, partnerships, BD, and customer-facing technical roles. Build sourcing pipelines, partner with founders and hiring managers to define scorecards, run interview processes, sell candidates on Goodfire, and create recruiting infrastructure for tracking, feedback, and closing.

Lead and grow Goodfire's model training organization, set technical direction for training and post-training work, define research agenda in intentional design and interpretability-informed training, partner with scientific leadership, and deliver high-quality training outcomes while hiring and mentoring a world-class team.

Lead Goodfire's public communications, particularly on social media, translating complex AI research into engaging content to drive awareness and attract talent.

The Head of Engineering will lead the development of Goodfire's core platform, recruit a high-performing engineering team, and ensure the success of engineering projects.

The Business Operations Manager will oversee operational tasks, handle strategic projects, and ensure efficient administration at Goodfire, requiring a strong technical background.

Conduct original research on interpretability of large AI models, prototype visualization and manipulation techniques, collaborate with engineers to productionize tools, publish and open-source results, and help define research direction focused on mechanistic understanding and model steering.

Partner with the CEO and leadership to increase effectiveness by managing high-volume operational work: follow-ups, drafting comms, recruiting coordination, events, fundraising support, offsites, customer outreach, and cross-functional projects. Represent leadership externally, exercise discretion, and quickly learn technical AI and interpretability concepts to drive strategy and execution.