{"id":52898,"url":"https://alion.io/job/basecmpt-founding-ml-researcher","title":"Founding ML Researcher","company":{"id":12726,"name":"Base Compute","domain":"basecompute.co","url":"https://alion.io/company/basecmpt","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":164000,"period":"year","method":"role_country_seniority_unknown","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"Quantization","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"ROCm","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-08-12T15:58:36Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-18T01:57:06Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"About Us\nBase Compute is an AI inference lab. Our mission is to bring AGI on device. We believe in a world where everyone has access to intelligence: fast, private and always available on your device.\nWe’re building the infrastructure for the next generation of on-device AI, from silicon-level optimizations to distributed inference systems.\nWe’re working on hard problems at the intersection of inference efficiency, model intelligence and autonomous research.\nThe Role\nWe’re looking for a Founding ML Researcher to work at the frontier of on-device AI. This role is for someone who identifies problems and potentials, designs and executes experiments and derives insights that translate into real-world performance.\nYou’ll have significant ownership over our research agenda and direct influence on the technical bets the company makes.\nWhat You’ll Work On\nInference research: Identifying and validating new approaches to on-device efficiency, including speculative decoding variants, novel quantization schemes and entirely new techniques yet to be discovered\n\nModel routing research: Building the intelligence that decides how requests are served between on-device vs. frontier API models\n\nAutoresearch pipelines: Designing systems that can autonomously explore, hypothesize and evaluate research ideas that accelerate our R&D loop\n\nEvaluations and benchmarks: Developing rigorous evals that measure performance in the real world, outside of clean academic settings\n\nWhat We’re Looking For\nPhD in ML or equivalent industry research experience\n\nDeep understanding of LLM architectures and the principles of AI inference\n\nExpertise in a relevant topic, such as speculative decoding, quantization theory, model distillation, reinforcement learning\n\nA track record of producing results that people build on: research papers, open-source projects or blog posts that prove out novel ideas\n\nGood communication: the ability to explain complex ideas simply, give honest feedback and document findings in a reproducible way\n\nNice-to-haves:\nFamiliarity with GPU and accelerator architectures and kernel optimization (CUDA, ROCm, Metal, Triton, etc.)\n\nExperience deploying models under on-device constraints (memory bandwidth, latency budgets, and thermal and power ceilings)\n\nWhat We Offer\nFounding team equity and strong base salary\n\nDirect influence on technical direction: your ideas will shape the roadmap\n\nWork on genuinely hard problems that haven't been solved yet\n\nSmall team, fast iteration, low bureaucracy\n\nLocation\nThe team is based in Melbourne and Berlin and works in-person from the office most days. 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