{"id":853190,"url":"https://alion.io/job/dyaniahealth-senior-machine-learning-ml-engineer","title":"Senior Machine Learning (ML) Engineer","company":{"id":674556,"name":"Dyania Health","domain":"dyaniahealth.com","url":"https://alion.io/company/dyaniahealth","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","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":{"min_usd":36000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kotlin","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"AWS","optional":true},{"name":"Jira","optional":true}],"status":"live","first_seen_at":"2026-06-23T00:00:00Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-11-11T13:40:56Z","board_verified":true,"closed_at":null,"days_open":141,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":141},"description":"About Dyania Health\nDyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria.\nIf you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information.\nAbout the Role\nWe are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices - from model development and evaluation to deployment, monitoring, and continuous improvement.\nYou will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions.\nKey Responsibilities\nDesign, implement, and deploy ML-powered software components within a microservice architecture.\nLead development and productionization of NLP and transformer-based models for biomedical information processing.\nOwn the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale.\nArchitect scalable and maintainable ML infrastructure and services.\nCollaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities.\nAnalyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders.\nEnsure reliability, scalability, and security of ML services in production environments.\nMentor junior engineers and contribute to raising the technical bar across the team.\nContribute to architectural discussions and strategic technical decisions.\nChampion engineering best practices including testing, CI/CD, version control, and documentation.\nRequirements\nRequired Qualifications:\n5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects). \nBachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field. \nStrong hands-on experience training, testing, deploying, and serving ML models in production environments. \nExperience with transformer architectures and NLP applications.\nExperience with multi-GPU and multi-node distributed training and inference.\nProficiency in Python. \nProficiency in Java (and/or Kotlin/Scala) or C++. \nExperience designing and implementing microservices. \nProfessional experience with Git and collaborative development workflows. \nExperience with relational databases and/or NoSQL systems (e.g., knowledge graphs). \nStrong communication skills and ability to explain technical concepts clearly.\nPreferred Qualifications:\nExperience working with AWS or similar cloud platforms.\nExperience working in agile development environments and familiarity with Jira.\nExperience building ML systems in healthcare or other regulated environments.\nExperience with monitoring, observability, and performance optimization in production ML systems.\nWhat Success Looks Like\nYou deliver production-ready ML systems that are scalable, reliable, and maintainable.\nYou proactively identify technical risks and propose thoughtful solutions.\nYou translate ambiguous biomedical problems into structured ML approaches.\nYou elevate the engineering team through mentorship and thoughtful technical leadership.\nYou effectively communicate insights and trade-offs to diverse stakeholders. \nTeam Culture:\nWe try every day to maintain empathy for patients and our teammates.\nWe value small egos, self-awareness, and humility in our teammates.\nWe appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift.\nWe love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team.\nWe value open dialogue and brainstorming across multidisciplinary teams.\nDyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws.\nBenefits\nCompetitive Salary\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k, IRA)\nGenerous Paid Time Off (Vacation, Sick & Public Holidays)\nFamily Leave (Maternity, Paternity)\nTraining & Professional Development Support\nRemote work","description_format":"text","description_chars":5580,"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":[]},"benefits":["401k plan","Parental leave","Professional development","Retirement plans"],"hiring_locations":[{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Agents","EHR & Clinical Software"],"lifecycle":[{"event":"open","at":"2026-09-13T04:41:45Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.37,"p_room":0.28,"age_days":141,"expected_fill_days":35,"reasons":["conf:7","win:tail","crowd:"],"computed_at":"2026-11-11T05:49:22Z"},"pay":null,"html_url":"https://alion.io/job/dyaniahealth-senior-machine-learning-ml-engineer","json_url":"https://alion.io/job/dyaniahealth-senior-machine-learning-ml-engineer.json","meta":{"generated_at":"2026-11-11T14:52:55Z","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":27563,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"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":674556},"rest":"https://alion.io/mcp/rest/get_company?id=674556"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdyaniahealth-senior-machine-learning-ml-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%2Fdyaniahealth-senior-machine-learning-ml-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%2Fdyaniahealth-senior-machine-learning-ml-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/dyaniahealth-senior-machine-learning-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdyaniahealth-senior-machine-learning-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":853190}},{"tool":"search_jobs","arguments":{"company":"dyaniahealth.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":853190},"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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