{"id":140732,"url":"https://alion.io/job/deeplab-rd-machine-learning-engineer","title":"R&D Machine Learning Engineer","company":{"id":30743,"name":"Deeplab","domain":"deeplab.ai","url":"https://alion.io/company/deeplab","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":["GR"],"hiring_countries_total":1,"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":"Computer Vision","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Git","optional":true},{"name":"HPC","optional":true},{"name":"JAX","optional":true},{"name":"Linux","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"PEFT","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-17T11:12:22Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":94},"description":"Deeplab combines high-end software technologies with state-of-the-art machine learning and deep learning research to deliver services and products that tackle challenging real-life problems. This is your chance to join a dynamic and rapidly evolving ML/AI organization committed to research, innovation, andexcellence. We foster a culture that bridges academic rigor with entrepreneurial agility - an environment where methodical research meets real-world impact and fast-paced innovation. This synergy fuels our mission to solve complex, meaningful problems using cutting-edge machine learning.\nThe Team\nWe are gradually expanding our R&D teams, with a growing pipeline of challenging new projects that need strong technical owners. We handle disruptive, high-risk/high-impact work end-to-end - from ideation through proposal compilation, proof-of-concept development, and final delivery. Our portfolio spans adTech systems serving millions of daily users, drug discovery with virtual screening of billions of molecules, cancer immunotherapies, brain-computer interfaces, and more. You will join an interdisciplinary team of passionate ML engineers with backgrounds in both research and software development.\nThe Role\nWe are looking for an accomplished and driven ML Engineer with a strong engineering foundation, proven research output, and substantial hands-on development experience. The ideal candidate brings a broad and deep skill set rooted in core machine learning, with demonstrated application experience in areas such as computer vision, natural language processing, signal processing, LLM-based/generative AI systems, or related fields.\nYour primary focus will be contributing to - and in some workstreams co-leading - EU-funded R&D projects (e.g., Horizon Europe), taking ownership of technical deliverables from experimental design through implementation and reporting. You will also dedicate a portion of your time to the technical preparation and creative writing of new research and innovation proposals. Alongside project delivery, you will develop proof-of-concept systems that translate state-of-the-art research into working prototypes, and you will help elevate the team’s practices through knowledge-sharing and light mentoring of junior colleagues.\nThis is a role for someone who thrives at the intersection of rigorous ML research and engineering execution, and who is ready to take on greater autonomy and responsibility within a collaborative, international R&D setting.\nResponsibilities\nDesign, develop, and implement machine learning and deep learning algorithms as part of funded EU R&D projects, taking ownership of technical workstreams and deliverables.\nConduct in-depth literature surveys, experimentation, and benchmarking to advance project objectives across diverse research topics.\nDevelop proof-of-concept systems that incorporate state-of-the-art methods and translate them into demonstrable prototypes.\nPrototype and evaluate LLM-based and agentic system components - e.g., retrieval-augmented generation pipelines, tool-using agents, and evaluation harnesses - selecting appropriate modern frameworks and tooling as projects require.\nPerform statistical modeling, machine learning model development and evaluation, data analytics, and dataset management to ensure data quality and experimental rigor.\nOptimize models and pipelines for scalability, efficiency, and reproducibility.\nContribute to the planning, execution, and timely delivery of project milestones and technical reports.\nParticipate in the preparation and creative writing of technical content - including state-of-the-art reviews - for EU grant proposals and industrial R&D calls.\nCollaborate with ML engineers, domain experts, and software developers in cross-functional, international teams.\nShare knowledge and help establish best practices within the team; provide guidance to more junior engineers where appropriate.\nStay current with ML research and developments relevant to Deeplab’s active and upcoming projects.\nRequirements\nMSc in Electrical & Computer Engineering, Computer Science, Machine Learning, Applied Mathematics, Statistics, Physics, Signal Processing, or a closely related quantitative field. A PhD is a plus but not required.\n4+ years of hands-on ML experience, with clear evidence of having owned technical workstreams end-to-end - scoping problems, choosing approaches, delivering results, and documenting them. Raw years are not the signal on their own; we want to see that those years translated into real ownership and autonomy.\nStrong, broad foundations in core ML - including deep learning architectures, optimization, probabilistic modeling, and the mathematical and statistical principles that underpin them.\nDemonstrated application experience in at least one major ML domain (e.g., computer vision, NLP, signal/audio processing, time-series analysis, or LLM-based/generative AI systems), with openness and ability to work across domains.\nProficient in Python, with working fluency in at least one major deep learning framework (PyTorch, JAX, or TensorFlow).\nMature engineering practices in ML work. This is a research-heavy role, but we expect the engineering to be solid - not just throwaway notebook code. We’ll look for signals such as experiment tracking (MLflow, W&B, or equivalent), version-controlled and tested codebases, reproducible pipelines, or CI workflows. Model deployment experience is a plus; what matters most is that you treat ML code as software, whether it ships to users or supports a research deliverable.\nExperience with technical and scientific writing - proposals, technical reports, or publications.\nComfortable with Linux environments, version control (Git), CI/CD workflows, containerization (Docker), and collaborative development practices.\nStrong problem-solving ability: can decompose complex, ambiguous problems and formulate viable ML solutions independently.\nExcellent written and oral communication skills in English; ability to present complex analyses clearly and work effectively in international teams.\nStrong Pluses\nExposure to or active interest in computational biology, bioinformatics, or life-sciences applications of ML (e.g., molecular property prediction, omics data analysis, drug discovery pipelines).\nHands-on experience building and evaluating LLM-based or agentic systems - e.g., retrieval-augmented pipelines with measured retrieval quality, systematic evaluation harnesses, model adaptation (LoRA/DPO-style fine-tuning), tool-using agents with robust error handling, or LLM inference optimization. Depth matters more than framework familiarity: we care that you can measure, debug, and improve these systems, not which library you used.\nExperience contributing to or delivering funded collaborative research projects (e.g., Horizon Europe or similar programmes).\nExperience with large-scale cluster computing, distributed training, or HPC for ML workloads.\nPublications or patents. Peer-reviewed papers, patents, or substantive technical reports. Quality over quantity; first-author publications at top-tier ML venues (such as NeurIPS, ICML, ICLR, CVPR, ACL, or EMNLP) or their workshops are a strong signal, but good work at other reputable venues or in applied domains also counts.\nBenefits\nSupplementary private health insurance.\nFlexible working hours and remote work opportunities.\nWork on advanced AI with real-world impact.\nBudget for home office equipment and productivity.\nPersonal development budget and knowledge-sharing sessions.\nNewly designed and inspiring office environment.\nCompetitive salary based on experience and qualifications.\nInformation about how we process your personal data: https://deeplab.ai/wp/wp-content/uploads/2026/08/Job-Applicants-about-the-Processing-of-Personal-Data-v1.0.pdf","description_format":"text","description_chars":7810,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Health insurance","Home office"],"hiring_locations":[{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","MLOps","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-07-15T00:00:00Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.274,"p_room":0.28,"age_days":94,"expected_fill_days":27,"reasons":["conf:5","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/deeplab-rd-machine-learning-engineer","json_url":"https://alion.io/job/deeplab-rd-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T12:20:57Z","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":16399,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":30743},"rest":"https://alion.io/mcp/rest/get_company?id=30743"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdeeplab-rd-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fdeeplab-rd-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fdeeplab-rd-machine-learning-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/deeplab-rd-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdeeplab-rd-machine-learning-engineer"}]}