Senior AI/ML Engineer

A formal DevRel title is not required. A strong ML/AI Engineer with deep technical expertise and an interest in speaking, teaching, creating demos, and working with the developer community may be a stronger fit than a traditional DevRel profile without sufficient ML/AI depth. You will work closely with the founder and contribute directly to both the product and its technical ecosystem., * Contribute to the core product (approximately 25% of the role), staying hands-on and deeply involved enough to understand the technology and participate credibly in engineering discussions.

• Drive highly technical Developer Relations activities (approximately 75% of the role).
• Work directly with external technology partners, including model creators, database companies, infrastructure providers, and other AI ecosystem companies.
• Design and build technical demos, integrations, examples, and reference implementations with partners.
• Develop practical use cases demonstrating how the company’s technology can be integrated into real-world AI products and infrastructure.
• Write technical articles, tutorials, documentation, and other developer-facing content.
• Record technical demos and videos.
• Lead or participate in technical webinars and workshops.
• Speak at conferences, meetups, and other AI/developer events.
• Participate in technical co-marketing initiatives with ecosystem partners.
• Engage with the open-source and developer community from a deeply technical perspective.
• Explain the company’s technology and underlying ML concepts to engineers, developers, partners, and other technical audiences.
• Bring feedback and insights from developers and partners back into the product and engineering process.
• Represent the company credibly within the broader ML/AI engineering ecosystem.

This role is not focused on general community management. You should primarily be a technical expert who can build, understand, demonstrate, and explain the technology.

• Senior-level ML/AI Engineering background with several years of hands-on experience in machine learning or advanced AI engineering.
• Strong software engineering skills and ability to independently build production-quality solutions, prototypes, integrations, and demos.
• Practical experience with production ML systems, rather than primarily consuming third-party LLM APIs.
• Strong understanding of model inference and how ML models are deployed, served, optimized, and used in production environments.
• Relevant experience in several areas such as small models, model inference, post-training, embeddings, vector search, information retrieval, reranking, recommendation/search systems, transformers, model serving, or ML infrastructure.
• Ability to understand a complex ML product deeply enough to contribute to core engineering and credibly explain its architecture and technical value to other engineers.
• Product-oriented engineering mindset and ability to translate ML technology into practical use cases.
• Strong written and verbal English communication skills.
• Genuine interest in working in a highly technical, public-facing role.
• Comfort explaining complex technical concepts through demos, presentations, technical discussions, articles, webinars, workshops, or videos.
• Existing US work authorization (mandatory, no visa sponsorship).
• Ideally already based in San Francisco / Bay Area, or willing and able to relocate quickly.
• Willingness to work in a hybrid setup, approximately 2-3 days per week in person in San Francisco.
• Interest in a long-term, full-time position.

Will be a plus:

• Previous experience in Technical DevRel, Developer Advocacy, or developer education.
• Experience with GPU/inference infrastructure and inference optimization.
• Experience with transformer architectures, model optimization, or post-training.
• Strong background in search/retrieval systems, including embeddings, vector search, reranking, or hybrid retrieval.
• Experience building developer-facing SDKs, APIs, integrations, examples, or technical tooling.
• Open-source contributions or meaningful personal technical projects.
• Active GitHub or another visible technical footprint.
• Experience writing technical articles, tutorials, research-oriented content, or engineering blog posts.
• Conference or meetup speaking experience.
• Experience delivering technical webinars or workshops.
• Experience producing technical video content.
• Research experience combined with strong production engineering capabilities.
• Previous experience in a fast-moving startup/product environment.
• Experience collaborating directly with external engineering teams and technology partners.

Formal DevRel experience is a plus, not a requirement. Strong ML/AI Engineers with some evidence of public-facing technical work, or a clear interest and ability to move into this type of role, will absolutely be considered.

• For an exceptional candidate based elsewhere in the US, the company may be able to assist with relocation if the candidate can move quickly.
• US work authorization: mandatory, no visa sponsorship.
• Start: ASAP.

Pay: $10,000.00 - $16,000.00 per month