{"id":711072,"url":"https://alion.io/job/labhouse-ai-engineer","title":"AI Engineer","company":{"id":678665,"name":"Lab House","domain":"labhouse.io","url":"https://alion.io/company/labhouse","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":17,"ghost_share":0.176,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":119000,"period":"year","method":"role_country_seniority_unknown","sample_n":34},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Transformers","optional":false},{"name":"Edge AI","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true},{"name":"ONNX","optional":true},{"name":"Quantization","optional":true}],"status":"live","first_seen_at":"2026-06-05T08:19:33Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-11-01T07:18:32Z","board_verified":true,"closed_at":null,"days_open":148,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":148},"description":"Labhouse is a Barcelona-based startup studio building AI-powered mobile apps used by hundreds of thousands of people worldwide. Our products - including Invoice Fly and Summary AI - are designed to make everyday tasks faster, smarter, and simpler through a subscription model that puts the user first.\nWe were founded by Andrés Bou and Horacio Martos, the duo behind SocialPoint (acquired by Take-Two Interactive), and we operate with the mindset of a product company: small teams, high ownership, and a relentless focus on building things that matter.\nWould you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below.\nThe Role\nAt Labhouse, AI is not a feature - it's the core of what we build. As our AI Engineer, you will own the development, fine-tuning, and productionization of the models that make our apps work at a high level of accuracy and performance.\nThis is a hands-on engineering role. You will:\nResearch, design, and train models suited to the specific needs of our products\n\nFine-tune existing open-source and foundation models to maximize accuracy and performance\n\nOwn the full model lifecycle: data curation, experimentation, evaluation, and production deployment\n\nCollaborate with mobile and backend engineers to integrate models directly into our apps\n\nDefine and track the metrics that drive quality - and continuously push them in the right direction\n\nAbout You\nAcademic Background\nA strong academic foundation matters to us. We're looking for candidates with a degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field. A Master's or PhD in machine learning or a related area is a strong plus - but not a requirement if you can demonstrate equivalent depth through your work.\nWhat We Are Looking For\nMore than years of experience, we care about demonstrated ability to build. You should be able to point to models you've trained, fine-tuned, or shipped - whether in a professional setting, a research context, or on your own. A strong GitHub and/or Hugging Face profile is a significant advantage.\nHands-on experience training or fine-tuning deep learning models that are used in production.\n\nStrong Python skills and experience with ML frameworks (PyTorch or JAX preferred)\n\nComfort with the full model development cycle: data pipelines, experiment tracking, evaluation, deployment and scaling.\n\nSolid understanding of modern model architectures and when to apply them\n\nExperience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus\n\nAbility to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions\n\nAI Proficiency\nYou actively use AI tools in your own workflow - not as a novelty, but as a genuine productivity multiplier. You stay current with the state of the art and know how to apply the latest research to real product problems.\nCommunication\nYou communicate clearly and directly. You can explain technical decisions to non-technical stakeholders, flag blockers early, and collaborate effectively in a small, fast-moving team.\nNice to Have\nExperience across multiple model domains (vision, audio, NLP, multimodal)\n\nFamiliarity with on-device or edge inference optimization (quantization, distillation, ONNX)\n\nExperience integrating ML models into mobile or production environments\n\nPublished research or open-source contributions in ML\n\nWhat We Offer\nAttractive compensation, above market average\n\nHybrid work model based in Barcelona\n\nHigh ownership from day one - you define the direction, not just execute on it\n\nWork directly with the founders and a senior, low-ego team\n\nA real product with real users - your work will have immediate, measurable impact\n\nHiring Process\nInitial Interview: Meet with our Talent Acquisition Lead to discuss your background and fit for the role. We’ll also ask you to share your proudest projects.\n\nHiring Manager Interview: A deep dive into your experience and leadership capabilities.\n\nTechnical Assessment: Showcase your expertise through a practical task.\n\nFinal Interview: A conversation with our leadership team to align on vision and expectations.\n\nOffer: Join our team and lead the development of our future-shaping apps!\n\nYou should Know:\nLabhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them.\nCome join us and help us build a company that everyone is proud to be part of.","description_format":"text","description_chars":4598,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-11T04:44:23Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.462,"p_room":0.28,"age_days":148,"expected_fill_days":70,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/labhouse-ai-engineer","json_url":"https://alion.io/job/labhouse-ai-engineer.json","meta":{"generated_at":"2026-11-01T08:01:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12446,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":678665},"rest":"https://alion.io/mcp/rest/get_company?id=678665"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flabhouse-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flabhouse-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flabhouse-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/labhouse-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flabhouse-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":711072}},{"tool":"search_jobs","arguments":{"company":"labhouse.io","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":711072},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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