Ganloss
The hiring layer for AI-native work
A marketplace where structured profiles meet structured roles. Show how you use models and tools—or hire with job posts that speak the same language.
Early community—real member accounts with proof-first profiles, not demo seed listings.
Registered office
1 Place des Saisons
92400 Courbevoie
France
France hiring
Principal cities
Browse AI and ML roles by city. Our office is in Courbevoie (Île-de-France).
For talent
Build a public profile that emphasizes projects and tools—not only job titles. Browse open AI-forward roles, compare peers on talent search, and apply with a profile employers can trust.
For employers
Post roles with explicit skills and tools so candidates self-select. Use search to filter by stack, then route people through contact or applications. Dashboard tools help you review pipelines and export when you need ATS handoff.
How teams use Ganloss
Examples of proof-first AI hiring on the platform—structured listings, stack-visible profiles, and employer workspaces. Not paid endorsements; illustrative teams from our directory and market index.
Geoox
Geospatial ML · PyTorch · LLM assistants
Geoox publishes geospatial and earth-observation roles with explicit tools (GDAL, PyTorch, LangChain) and hybrid locations. Candidates see stack and comp hints before applying—reducing buzzword-only matches.
Mistral AI
LLM engineering · RAG · Paris hybrid
European frontier-model teams recruit for RAG, fine-tuning, and enterprise APIs. Ganloss listings mirror how those teams actually describe production LLM work—not generic “AI engineer” copy.
Hiring teams
Proof-first screening · LLM rubrics
Employers pair structured job posts with our prompt-engineering interview rubric and talent search filters—so first screens focus on shipped work, eval quality, and stack fit.
Why structured hiring matters for AI roles
AI hiring moves fast; job descriptions and CVs often lag behind what people actually build. Aligning job posts and profiles around the same vocabulary—tools, skills, shipped work—reduces noise on both sides and speeds up the first meaningful conversation.
Guides & landing pages
Deeper pages for search and sharing—employer hiring, job seekers, and an editorial guide to AI hiring best practices.
Frequently asked questions
Ganloss serves two sides: professionals building careers around AI, automation, LLMs, and data/ML, and employers who need that talent without wading through generic résumés. Both can use search, public job listings, and authenticated profiles.
Candidates highlight concrete skills, tools, and projects—with at least one verifiable link (repo, demo, or portfolio) before a public profile goes live. Job posts mirror that structure with explicit skills and tools.
Candidates create an account, complete a short profile (headline, bio, optional CV link or PDF), and apply to listings in one flow. Applications stay tied to the verified account so recruiters review consistent context.
Employers can post and edit roles, browse and filter talent search, review applications and messages in a dashboard, and export applicant or inquiry data to CSV when they need to sync with an ATS or spreadsheet.
No. Any role where AI, agents, or automation is core to the work—product, engineering, marketing, ops, research—fits the platform. The focus is clarity on stack and outcomes, not a single job title.
No. Those products pay contributors for short evaluation or labeling tasks. Ganloss connects employers who publish jobs with candidates who apply through structured profiles and recruiter workspaces—think hiring and contracts, not gig queues.
No. The name is a brand for AI recruiting—it is not a tutorial site about generative adversarial networks or loss functions in model training. Ganloss focuses on hiring: job posts, talent search, applications, and employer tools for teams building with LLMs, agents, and ML.
Ganloss is an early marketplace. Public profiles come from member accounts that pass a proof-first gate (verifiable project link)—we do not inflate counts with demo seed profiles. The directory grows as more AI practitioners publish; quality and stack clarity matter more than raw volume.
No. Large boards optimize for reach across every industry. Ganloss is a complementary niche hub for AI/ML hiring: stack-aligned listings, proof-first profiles, and employer workflows. Many teams use Ganloss alongside LinkedIn or generalist boards when they need technical signal, not when they need maximum listing volume.
The interface is available in English, French, German, and Spanish. Job listings and talent span multiple regions (Europe, North America, remote-first teams, and more)—it is an international AI hiring layer, not a single-country local job site.