{"id":4018047,"url":"https://alion.io/job/optics11-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":2001460,"name":"Optics11","domain":"optics11.com","url":"https://alion.io/company/optics11","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":96,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","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":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"Self-Supervised Learning","optional":true}],"status":"live","first_seen_at":"2026-11-10T08:57:20Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:52:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced AI/ML Engineer to develop and deploy machine learning solutions for real-world underwater acoustic sensing systems.\nOptics11 is a deep-tech company developing cutting-edge fiber-optic sensing technologies for challenging environments, including underwater acoustics, offshore energy, and defense applications. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence.\nWe are expanding our R&D team with a Senior AI/ML Engineer who combines strong mathematical foundations with applied machine learning expertise to enhance the next generation of intelligent acoustic sensing solutions.\nRole Overview:\nAs a Senior AI/ML Engineer, you will apply machine learning to real-world underwater acoustic sensing challenges using Optics11’s fiber-optic technology platforms. You will work closely with acoustics engineers, signal-processing specialists, and embedded/software teams to develop robust ML components that integrate seamlessly into operational systems.\nThis role requires a strong foundation in signal processing, applied mathematics, and statistics, and the ability to combine physics-based acoustic algorithms with data-driven ML methods.\nResponsibilities:\nDevelop and implement machine learning solutions for underwater acoustic sensing use cases, including detection, classification, localization and anomaly monitoring within fiber-optic sensing systems.\n\nSelect and adapt modelling approaches based on data availability, operational constraints and system requirements.\n\nApply strong foundations in applied mathematics, statistics and signal processing (e.g., beamforming, spectral analysis, detection pipelines) and integrate these with modern data-driven ML techniques.\n\nDesign, train, evaluate and benchmark AI/ML models, ensuring robustness, generalization and deployment readiness.\n\nValidate models rigorously across laboratory experiments and offshore field datasets, with clear performance tracking and reproducible experimentation.\n\nAnalyze and interpret large-scale experimental and real-world fiber-optic sensing datasets, contributing to scalable workflows for data preparation, labelling and augmentation.\n\nSupport technical trade-offs between accuracy, interpretability, latency and real-time or embedded constraints.\n\nCollaborate closely with acoustics engineers, signal processing specialists, software and embedded teams to integrate ML components into operational acoustic sensing pipelines.\n\nTranslate complex AI/ML results into clear technical insights that inform system-level engineering decisions.\n\nContribute to strong engineering practices, including version-controlled experiments, documentation, traceability, validation standards and continuous improvement of ML components.\n\nStay informed about advances in AI/ML for time-series analysis, sensor fusion and signal-informed learning, and prototype promising approaches that complement the broader technology stack.\n\nWhat's in it for you?\nCompetitive salary .\n\nInnovative high-tech, international organization .\n\nThe opportunity to work in a cross-functional and interdisciplinary environment .\n\nA lot to learn and to develop, we stimulate personal development .\n\nLunches.\n\nRequirements\nRequired Qualifications\nMSc in Machine Learning, Signal Processing, Applied Mathematics, Computer Science, Physics, or a related field.\n\nStrong foundation in linear algebra, probability, statistics, and signal processing.\n\nProven experience applying AI/ML methods to time-series or sensor data, including techniques such as: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) (e.g., LSTMs), Transformer-based architectures for time-series learning.\n\nSupervised and unsupervised learning approaches for detection and classification.\n\nHands-on experience with model training, evaluation, and validation in applied settings.\n\nProficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).\n\nAbility to work in an applied R&D environment with experimental and field data, balancing model performance with real-world constraints.\n\nNice to Have\nExperience with underwater acoustics, sonar, or beamforming-related applications.\n\nKnowledge of embedded or real-time deployment constraints.\n\nExperience with sensor fusion, self-supervised learning, or physics-informed ML.\n\nFamiliarity with offshore, defense, or industrial monitoring domains.\n\nFamiliarity with structured ML development processes such as CRISP-ML(Q) or similar lifecycle and quality frameworks.\n\nYou'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.\nMore information\nSo now you know we're doing awesome projects and if you see you fit the profile we would like to get to know you. Apply or, in case of questions, get in touch with our recruiter Dóra Öveges ( ).","description_format":"text","description_chars":5128,"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":[{"language":"Dutch","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Optics & Photonic Components"],"lifecycle":[{"event":"open","at":"2026-11-10T13:49:52Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":53,"reasons":["conf:4","win:early"],"computed_at":"2026-11-10T23:49:18Z"},"pay":null,"html_url":"https://alion.io/job/optics11-senior-aiml-engineer","json_url":"https://alion.io/job/optics11-senior-aiml-engineer.json","meta":{"generated_at":"2026-11-10T23:49:18Z","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":149,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":2001460},"rest":"https://alion.io/mcp/rest/get_company?id=2001460"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foptics11-senior-aiml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Foptics11-senior-aiml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Foptics11-senior-aiml-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/optics11-senior-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foptics11-senior-aiml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4018047}},{"tool":"search_jobs","arguments":{"company":"optics11.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4018047},"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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