Senior ML/AI Engineer (Technical DevRel)

Empat; San Francisco (CA); Hybrid; USD 190,000 - 270,000; Full time

Benefits offered by this job

Hybrid work

Relocation assistance

In-office collaboration at SF cowork/“

Job summary

Empat is seeking a Senior ML/AI Engineer with strong Technical DevRel capabilities to join the San Francisco team full-time. The role blends hands-on ML engineering with developer relations, demos, and community engagement, helping shape product and ecosystem.

You will work hybrid, 2–3 days in-person in San Francisco, collaborating with the founder and external partners to build demos, integrations, and practical AI use cases that showcase the technology.

Qualifications

• 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.
• Experience in small models, model inference, post-training, embeddings, vector search, information retrieval, reranking, or hybrid retrieval/recommendation systems.
• Ability to understand a complex ML product deeply enough to contribute to core engineering and credibly explain its architecture and value.

Responsibilities

• 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

Skills

Machine learning

Software engineering

DevRel

Public speaking

English communication

Technical demos

Python

Tools

GPU infrastructure

Model serving

Vector search

Transformers

Job description

Empat delivers full-cycle software development grounded in research, empathy, and technical excellence — from system architecture and engineering to UI/UX and go-to-market.We carefully analyze our clients’ business needs and assist in developing efficient, optimized, and user-friendly solutions that bring profit.

Senior ML/AI Engineer (Technical DevRel)

Weare looking for aSenior ML/AI Engineer with strong Technical DevRel capabilities orpotential tojoin the team inSan Francisco full-time. The company isanAI startup working onsmall task-specific models, inference, and post-training. Ithas already built anopen-source product with agrowing developer community and ispreparing tolaunch its cloud offering. The company works closely with model creators, database companies, infrastructure providers, and other technology partners tobuild integrations, technical demos, and practicalAI use cases.

Aformal DevRel title isnot required. Astrong ML/AI Engineer with deep technical expertise and aninterest inspeaking, teaching, creating demos, and working with the developer community may beastronger fit than atraditional DevRel profile without sufficient ML/AIdepth. You will work closely with the founder and contribute directly toboth the product and its technical ecosystem.

Your responsibilities will include:

• Contribute tothe core product (approximately25% ofthe role), staying hands-on and deeply involved enough tounderstand the technology and participate credibly inengineering discussions
• Drive highly technical Developer Relations activities (approximately75% ofthe role)
• Work directly with external technology partners, including model creators, database companies, infrastructure providers, and otherAI 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 beintegrated into real-world AIproducts and infrastructure
• Write technical articles, tutorials, documentation, and other developer-facing content
• Record technical demos and videos
• Lead orparticipate intechnical webinars and workshops
• Speak atconferences, meetups, and other AI/developer events
• Participate intechnical co-marketing initiatives with ecosystem partners
• Engage with the open-source and developer community from adeeply technical perspective
• Explain the company’s technology and underlyingML concepts toengineers, 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 isnot focused ongeneral community management. You should primarily beatechnical expert who can build, understand, demonstrate, and explain the technology.

What weexpect from you:

• Senior-level ML/AI Engineering background with several years ofhands-on experience inmachine learning oradvancedAI engineering
• Strong software engineering skills and ability toindependently build production-quality solutions, prototypes, integrations, and demos
• Practical experience with production MLsystems, rather than primarily consuming third-party LLMAPIs
• Strong understanding ofmodel inference and howML models are deployed, served, optimized, and used inproduction environments
• Relevant experience inseveral areas such assmall models, model inference, post-training, embeddings, vector search, information retrieval, reranking, recommendation/search systems, transformers, model serving, orML infrastructure
• Ability tounderstand acomplexML product deeply enough tocontribute tocore engineering and credibly explain its architecture and technical value toother engineers
• Product-oriented engineering mindset and ability totranslateML technology into practical use cases
• Strong written and verbal English communication skills
• Genuine interest inworking inahighly technical, public-facing role
• Comfort explaining complex technical concepts through demos, presentations, technical discussions, articles, webinars, workshops, orvideos
• Existing USwork authorization (mandatory, novisa sponsorship)
• Ideally already based inSan Francisco/ Bay Area, orwilling and able torelocate quickly
• Willingness towork inahybrid setup, approximately 2–3 days per week inperson inSan Francisco
• Interest inalong-term, full-time position

Will beaplus:

• Previous experience inTechnical DevRel, Developer Advocacy, ordeveloper education
• Experience with GPU/inference infrastructure and inference optimization
• Experience with transformer architectures, model optimization, orpost-training
• Strong background insearch/retrieval systems, including embeddings, vector search, reranking, orhybrid retrieval
• Experience building developer-facing SDKs, APIs, integrations, examples, ortechnical tooling
• Open-source contributions ormeaningful personal technical projects
• Active GitHub oranother visible technical footprint
• Experience writing technical articles, tutorials, research-oriented content, orengineering blog posts
• Conference ormeetup speaking experience
• Experience delivering technical webinars orworkshops
• Experience producing technical video content
• Research experience combined with strong production engineering capabilities
• Previous experience inafast-moving startup/product environment
• Experience collaborating directly with external engineering teams and technology partners

Formal DevRel experience isaplus, not arequirement. Strong ML/AI Engineers with some evidence ofpublic-facing technical work, oraclear interest and ability tomove into this type ofrole, will absolutely beconsidered.

Working conditions:

• Employment type: direct hire, full-time employment with the company
• Engagement: long-term
• Work format: hybrid, approximately 2–3 days per week inperson, with the remaining time remote
• The founder iscurrently based inSan Francisco; in-person work takes place inWeWork orasimilar coworking environment
• Candidates already based inthe Bay Area are strongly preferred
• For anexceptional candidate based elsewhere intheUS, the company may beable toassist with relocation ifthe candidate can move quickly
• USwork authorization: mandatory, novisa sponsorship