{"id":3000955,"url":"https://alion.io/job/multiverse-computing-senior-machine-learning-engineer-llm","title":"Senior Machine Learning Engineer (LLM)","company":{"id":1535,"name":"Multiverse Computing","domain":"multiversecomputing.com","url":"https://alion.io/company/multiverse-computing","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zaragoza, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":138000,"period":"year","method":"role_seniority_country_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Transformers","optional":false},{"name":"HPC","optional":true},{"name":"TensorRT","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-19T12:30:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T12:54:52Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Multiverse Computing\nMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world.\nWith 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence.\nOur flagship products, CompactifAI and Singularity, address critical needs across various industries:\nCompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems-such as language models-to make them significantly more efficient and portable.\n\nSingularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware.\n\nYou’ll be working alongside world-leading experts to develop solutions that tackle real-world challenges. We’re looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity.\nWe’re committed to building a truly inclusive culture-come and join us.\nJob Overview\nWe are seeking a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.\nAs a Machine Learning Engineer, you will\nDesign and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.\n\nConduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency.\n\nBuild LLM based applications such as RAG and AI agents.\n\nUse your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.\n\nAct as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.\n\nDesign, train and deliver custom deep learning models for our clients\n\nWork in diverse areas beyond LLM, e.g., computer vision.\n\nMaintain comprehensive documentation of LLM development processes, experiments, and results.\n\nShare your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.\n\nParticipate in code reviews and provide constructive feedback to team members.\n\nStay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.\n\nRequired minimum Qualifications: \nBachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.\n\n5+ years of hands-on experience with designing, training or fine-tuning deep learning models, preferably working with transformer or computer vision models.\n\n5+ year of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.\"\n\nSolid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference.\n\nExcellent problem-solving, debugging, performance analysis, test design, and documentation skills.\n\nStrong understanding with the fundamentals of GPU architectures and and LLM hardware/ software infrastructures.\n\nExcellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).\n\nExperience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment\n\nExcellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.\n\nPrevious research publications in deep learning or any tech field is a plus\n\nFluent in English\n\nPreferred Qualifications: \nExperience running large-scale workloads in high-performance computing (HPC) clusters.\n\nExperience in handling large datasets and ensuring data quality.\n\nExperience with inference and deployment environments (TensorRT, vLLM, etc.).\n\nExperience in accuracy evaluation of LLMs (OpenLLM Leaderboard).\n\nExperience building and evaluating RAG systems.\n\nExperience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing.\n\nFamiliarity with AI ethics and responsible AI practices.\n\nExperience in DevOps/MLOps practices in deep learning product development.\n\nPerks and Benefits\nIndefinite contract.\n\nEqual pay guaranteed.\n\nVariable performance bonus.\n\nSigning bonus.\n\nWe offer work visa sponsorship (If applicable).\n\nRelocation package (if applicable).\n\nPrivate health insurance.\n\nEligibility for educational budget according to internal policy.\n\nHybrid opportunity.\n\nFlexible working hours.\n\nLanguage classes and discounted lunch options\n\nWorking in a high paced environment, working on cutting edge technologies.\n\nCareer plan. Opportunity to learn and teach.\n\nProgressive Company. Happy people culture\n\nAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.","description_format":"text","description_chars":6225,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Flexible schedule","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","Quantum Science & Computing","Financial AI"],"lifecycle":[{"event":"open","at":"2026-10-21T12:08:34Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":60,"reasons":["conf:2","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/multiverse-computing-senior-machine-learning-engineer-llm","json_url":"https://alion.io/job/multiverse-computing-senior-machine-learning-engineer-llm.json","meta":{"generated_at":"2026-10-22T19:27:23Z","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":2767,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1535},"rest":"https://alion.io/mcp/rest/get_company?id=1535"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmultiverse-computing-senior-machine-learning-engineer-llm"},{"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%2Fmultiverse-computing-senior-machine-learning-engineer-llm"},{"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%2Fmultiverse-computing-senior-machine-learning-engineer-llm"},{"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/multiverse-computing-senior-machine-learning-engineer-llm\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmultiverse-computing-senior-machine-learning-engineer-llm"}]}