{"id":186724,"url":"https://alion.io/job/reson8-ai-researcher","title":"AI Researcher","company":{"id":73184,"name":"Reson8","domain":"reson8.ae","url":"https://alion.io/company/reson8","size_band":"11-50","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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":127000,"period":"year","method":"role_country_seniority_unknown","sample_n":82},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Encoder-Decoder","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NVIDIA NeMo","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false},{"name":"Speech Recognition","optional":false},{"name":"TensorRT","optional":false},{"name":"vLLM","optional":false},{"name":"Whisper","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-03-13T12:10:45Z","employer_posted_date":"2026-03-13","last_verified_at":"2026-10-20T01:20:26Z","board_verified":true,"closed_at":null,"days_open":220,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":219},"description":"About Reson8\nAt Reson8, we're on a mission to become a global leader in accurate, customisable speech-to-text for European languages, so every conversation is captured as it was meant to be.\nUnlike generic tools, Reson8 understands domain-specific jargon and adapts to the unique needs of each professional environment. From medical consultations to legal depositions to restaurant operations, Reson8 handles the jargon that generic tools get wrong.\nAvailable in 24 European languages so far, Reson8 is backed by world-class VCs and is committed to building a world where everyone is understood-no matter their language, accent, or jargon.\nWhat You'll Build\nTrain, fine-tune, and improve Reson8's proprietary speech-to-text models across 24+ European languages. You'll work hands-on with our model architectures to push accuracy on domain-specific vocabulary (medical, legal, financial) beyond what generic alternatives can do.\n\nBuild and maintain a stable, reproducible experimentation platform-so the team can run training experiments with confidence, track results systematically, and iterate fast without breaking things.\n\nDesign and run experiments: formulate hypotheses around model architecture, training recipes, data mixes, and domain adaptation strategies. Analyse results rigorously, document findings, and ship what works into production.\n\nWork directly with the founders in a highly technical environment: all three have engineering backgrounds from IMC and Adyen. You'll be in the room where decisions happen and have real ownership over our model roadmap.\n\nTrain and run inference on Reson8's own GPU cluster in NL datacenters-owning the full loop from experiment to deployment instead of relying on opaque cloud compute.\n\nStay close to the frontier: evaluate new architectures, training techniques, and tooling (NeMo, vLLM, TensorRT) and bring what works into our stack.\n\nOwn your work end-to-end: identify research opportunities, run the experiments, build the infrastructure to support them, and validate results in production.\n\nWhat You Bring\nStrong background in machine learning, with hands-on experience training and evaluating deep learning models (ideally in speech, NLP, or sequence-to-sequence domains).\n\nProficiency in Python and PyTorch (strongly preferred). You've actually trained models, not just fine-tuned notebooks.\n\nExperience building or contributing to experimentation infrastructure-experiment tracking, reproducible training pipelines, evaluation frameworks, or similar tooling.\n\nComfort reading research papers and translating ideas into working code.\n\nBonus experience with:\nSpeech recognition architectures (CTC, RNN-T, encoder-decoder ASR, Whisper-style models).\n\nNVIDIA tooling: NeMo, TensorRT.\n\nDistributed training or multi-GPU workflows.\n\nRust (we use it in performance-critical parts of our stack).\n\nKubernetes or container orchestration.\n\nLanguage-specific challenges in European languages (morphology, code-switching, diacritics).\n\nHow We Work\nSmall, highly technical team where everyone is a shareholder and behaves like an owner.\n\nNo passengers: expectation of high accountability, curiosity, and bias to action.\n\nHigh bar for craftsmanship and attention to detail that competitors ignore.\n\nWhat We Offer\nSalary competitive with the top of the market\n\nMeaningful equity as an early employee with real influence over direction and culture.\n\n25 days of vacation.\n\nWe're backed by Europe's best investors, and we're here to prove that fundamental AI infrastructure can be built on this continent, not just consumed from the US. If that matters to you, let's talk.\nAmsterdam-based. 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