{"id":672607,"url":"https://alion.io/job/subduxion-applied-ai-scientist-intern-single-workspace-learning-efficiency","title":"Applied AI Scientist Intern - Single-Workspace Learning Efficiency","company":{"id":684943,"name":"Subduxion","domain":"subduxion.com","url":"https://alion.io/company/subduxion","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Eindhoven, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GDPR","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"bandit","optional":true},{"name":"Few-Shot Learning","optional":true},{"name":"Transfer Learning","optional":true}],"status":"live","first_seen_at":"2026-03-17T15:06:40Z","employer_posted_date":"2026-03-17","last_verified_at":"2026-10-30T05:15:40Z","board_verified":true,"closed_at":null,"days_open":226,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":225},"description":"Company\nAt Subduxion, we're a dynamic startup on a mission to create real value for organizations through cutting-edge technological advancements, with a strong focus on Agentic AI. We're building intelligent systems that go beyond traditional AI, empowering businesses to automate complex processes and make smarter decisions.\nLocated at the heart of innovation on the High Tech Campus - Europe's smartest square kilometer - we're a small, entrepreneurial team that's all about collaboration, risk-taking, and authentic relationships. As a startup, we're flexible, fast-paced, and full of opportunities for you to make an immediate impact. If you're passionate about turning data into actionable AI solutions and bridging the gap between client needs and tech implementations, this is your chance to grow with us in the age of AI.\nWho are we looking for?\nWe're opening 3 internship positions for Applied Scientists who want to do real AI/ML research with direct product impact. You'll work on the intelligence layer of our AI SDR (Sales Development Representative) platform - specifically on how the AI reaches peak performance within a single customer's environment using as little interaction data as possible.\nOur platform is meant to become the EU's most capable AI SDR, helping founder-led B2B businesses sell better using AI. New customers shouldn't have to wait weeks before the AI understands their business - your job is to make it useful from day one and expert-level within days.\nWe're building toward full sales autonomy by end of 2026. Your work directly shapes whether we get there. This isn't a paper-writing exercise: your models ship to production.\nThese are founding research roles. Perform well, and there's a direct path to Head of Applied Research at Subduxion, leading the AI research function across all our products.\nResponsibilities\nCollaborate with our team to design, build, and deploy Agentic AI models that solve real-world business problems, from data preprocessing to model training and integration.\nResearch and develop methods for rapid AI adaptation within individual customer environments - learning fast from sparse data.\nDesign smart strategies for which user signals to prioritize, how to learn from minimal feedback, and when the AI has \"learned enough.\"\nBuild prototypes, run experiments, and ship what works into production alongside our engineering team.\nPublish internal research reports and present findings to stakeholders.\nStay current on relevant academic literature and translate promising techniques into practical implementations.\nEnsure all approaches meet GDPR/AVG requirements by design.\nWe keep things flexible: remote-friendly hours mean you can balance work with life, and as a startup, we're not bogged down by bureaucracy. You'll have the freedom to experiment and learn quickly.\nMinimum Qualifications\nWe're keeping our bar realistic for (entry-level) talent:\nPursuing or recently completed a Master's degree in AI, Machine Learning, Computer Science, Data Science, Applied Mathematics, Econometrics, or similar.\nSolid machine learning fundamentals - you can reason about models, not just run notebooks.\nProgramming proficiency in Python with hands-on ML framework experience (PyTorch, TensorFlow, scikit-learn).\nAbility to read and implement research papers.\nStrong communication skills in English. Dutch is a plus.\nEntrepreneurial minded, which means that you ship, you iterate, you take ownership and ring the bell on-time.\nNo need for years of experience; if you've just graduated or have 0-2 years under your belt from internships or junior roles, that's perfect. We're more interested in your potential and entrepreneurial mindset.\nPreferred Qualifications\nThese would make you stand out, but they're not deal-breakers - we're a startup, so we're betting on growth:\nExperience with few-shot learning, active learning, or meta-learning.\nFamiliarity with online learning or multi-armed bandit approaches.\nExposure to large language models in applied settings.\nExperience with transfer learning or domain adaptation techniques.\nA track record of building things - e.g. hackathons, open-source, side projects with real implementation.\nUnderstanding of GDPR/AVG and ethical AI.\nThat entrepreneurial spark: maybe you've started a personal project or have experience in a startup-like environment where you wore multiple hats.\n3 spots only. Apply now.\nHow to Apply\nPlease submit your application using the form below.\nWe review applications on a rolling basis and encourage candidates from diverse backgrounds to apply. 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