{"id":169610,"url":"https://alion.io/job/almetra-vlm-research-engineer-mfd","title":"VLM Research Engineer (m/f/d)","company":{"id":456055,"name":"Almetra","domain":"almetra.ai","url":"https://alion.io/company/almetra","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":63,"open_postings":13,"ghost_share":0.615,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-10-19T05:45:15Z"}},"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":66000,"max_usd":152000,"period":"year","method":"role_country_seniority_unknown","sample_n":61},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"DeepSeek","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"VLM","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2025-12-18T13:25:38Z","employer_posted_date":"2025-12-18","last_verified_at":"2026-10-19T06:53:55Z","board_verified":true,"closed_at":null,"days_open":304,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":304},"description":"We’re looking for a Research Engineer to push the limits of vision-language models for real-world video understanding. You’ll work on applied, state-of-the-art multimodal models and turn them into production pipelines used by customers.\nYour role\nDesign and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition\n\nBuild and maintain large-scale training and evaluation pipelines on GPU clusters\n\nCurate and augment video-text and action datasets, including synthetic labels and retrieval-based augmentation\n\nDevelop robust benchmarks for video QA, instruction following and temporal understanding, and use them to drive iterative model improvements\n\nCut and refactor model architectures for efficiency and deployability (compression, pruning, distillation)\n\nDeliver production-ready inference pipelines to product and customer teams, working closely with CV, platform and robotics engineers\n\nYou bring\nCompleted PhD (or equivalent research track record) in computer vision, machine learning, robotics or a related field\n\nStrong background in video-centric deep learning: scene understanding, temporal / activity / action recognition, or video generation\n\nExperience training and adapting large vision or VLM models (e.g. InternVL, Qwen-VL, DeepSeek-VL, similar stacks)\n\nProven work with multi-GPU training (PyTorch, distributed, mixed precision) and large-scale datasets\n\nSolid engineering habits: clean Python, reproducible experiments, reliable data and training pipelines\n\nTrack record of moving research into usable systems (demos, internal tools, or productised features) in fast-moving teams\n\nNice to have\nPublications at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, etc.) on video, multimodal learning or scene understanding\n\nExperience with 3D/4D scene representations, action generation or embodied / sense-plan-act style projects\n\nInference optimisation: quantisation, TensorRT, model distillation, or deployment on constrained hardware\n\nPrior experience in a startup or applied research lab environment\n\nWhat we offer\nEmployee Share Options Program for all permanent employees*\nAn increasing benefits list: currently includes Urban Sports club and quarterly team retreats.\nBe on the forefront in defining what artificial intelligence means in manufacturing\nGain hands-on experience in working in an AI-first software company\nSupportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company\nCollaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact\nNetwork with professionals and leaders in the field, opening doors to potential future career opportunities\nWe have a very flat hierarchy, open 360° feedback, and flexible working hours\nEthics: We are committed to developing ethical AI software\nDon't meet all the requirements?\nAlmetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.\n*Only full-time, permanent roles are eligible for stock options. 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