{"id":3196902,"url":"https://alion.io/job/athenahealth-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":58449,"name":"athenahealth","domain":"athenahealth.com","url":"https://alion.io/company/athenahealth","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":145000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"closed","first_seen_at":"2026-09-23T21:04:27Z","employer_posted_date":null,"last_verified_at":"2026-10-25T05:00:03Z","board_verified":false,"closed_at":"2026-10-25T05:00:03Z","days_open":31,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":31},"description":"Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.\n\nThe Senior Machine Learning Engineer is responsible for designing, developing, deploying, and optimizing machine learning solutions that support healthcare products and analytics initiatives across athenahealth. Based in Boston, MA in a hybrid work model, this role partners with cross-functional teams to apply modern machine learning, data science, and software engineering practices to meaningful healthcare challenges. The individual in this role will contribute across the full machine learning lifecycle, from identifying opportunities and evaluating approaches to deploying production services and improving model performance over time. This position reports to the Data Science Manager. \n\nTeam Summary: \nThe athenaClinicals product is a vital component of the athenaOne platform, enabling strong experiences for clients and users across clinical workflows. The Data Science team applies machine learning, advanced analytics, and modern engineering practices to automate existing workflows and create more efficient, intelligent solutions. In partnership with product and engineering leaders across the company, the team works to embed machine learning capabilities into athenahealth's suite of products in ways that improve usability, increase automation, and support innovation. \n\nThis team focuses on applying machine learning to complex healthcare problems across a variety of products and domains. Team members work closely with platform engineers and cross-functional partners to develop, deploy, and scale state-of-the-art machine learning models using cloud technologies and production-grade engineering practices. Work is typically executed within scrum teams of 2-4 people, with close collaboration across technical and non-technical stakeholders to deliver practical, measurable outcomes. \n\nEssential Job Responsibilities: \nIdentify opportunities to apply machine learning techniques to healthcare product and business problems and evaluate which approaches are most appropriate. \nDesign and develop machine learning models and ML-based production services for client-facing and internal applications. \nBuild scalable data pipelines, feature engineering workflows, and training datasets using structured and unstructured data. \nDeploy and maintain production machine learning services using cloud infrastructure and machine learning operations practices. \nApply rigorous testing and validation methods to statistics, models, code, and production workflows to support quality and reliability. \nFollow and contribute to conventions and best practices for modeling, coding, architecture, and statistical methods. \nCollaborate effectively with colleagues across technical and non-technical functions to define requirements, communicate findings, and deliver solutions. \nContribute to the development of internal tools, reusable frameworks, and team standards that improve the effectiveness of data science work. \nUse artificial intelligence tools to improve experimentation, coding, analysis, and workflow efficiency, while reviewing outputs carefully and applying sound judgment to technical decisions. \nMonitor model and service performance and improve solutions over time based on operational insights, changing requirements, and business impact. \n\nAdditional Job Responsibilities: \nSupport exploratory analyses, proofs of concept, and prototype development for emerging machine learning opportunities. \nPartner with platform and infrastructure teams to improve tooling for model training, deployment, observability, and reproducibility. \nAssist in establishing best practices for experiment tracking, model versioning, feature management, and continuous integration and continuous deployment. \nPrepare technical summaries, recommendations, and presentations for stakeholders across a range of technical backgrounds. \nEvaluate new tools, frameworks, and methodologies relevant to machine learning engineering, data science, and generative artificial intelligence. \nParticipate in incident analysis and remediation efforts related to machine learning-enabled systems. \nProvide technical guidance and knowledge sharing to peers through collaboration, feedback, and documentation. \nContribute to roadmap planning, estimation, and prioritization for machine learning and data science initiatives. \n\nExpected Education & Experience: \nBachelor's or Master's degree in Mathematics, Computer Science, Data Science, Statistics, or a related quantitative field, or equivalent practical experience. \n4 to 6 years of professional hands-on experience developing, evaluating, and deploying machine learning models in production environments. \nProficiency in Python, Structured Query Language (SQL), and Unix-based development environments. \nExperience building, testing, and maintaining production-grade machine learning services and workflows. \nKnowledge of machine learning fundamentals, statistical methods, model evaluation, and software engineering best practices. \nFamiliarity with natural language processing, computer vision, or other applied machine learning techniques. \nExperience with deep learning models and complex neural network architectures is helpful. \nExperience training or fine-tuning large language models and generative artificial intelligence models is helpful. \nExperience with cloud platforms such as Amazon Web Services, including technologies such as Kubernetes, Kubeflow, or Elastic Kubernetes Service, is helpful. \nStrong communication skills, including the ability to communicate clearly in writing and in conversation with technical and non-technical audiences. \n\nExpected Compensation\n$145,000 - $247,000\nThe base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.\n\nAbout athenahealth\n\nOur vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients - powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.\n\nOur company culture: Our talented employees - or athenistas, as we call ourselves - spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.\n\nOur DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.\n\nWhat we can do for you:\n\nAlong with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces - some offices even welcome dogs.\n\nWe also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.\n\nIn addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. \n\nLearn more about our culture and benefits here: athenahealth.com/careers","description_format":"text","description_chars":8686,"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":["Equity","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Primary Care & Medical Centers"],"lifecycle":[{"event":"open","at":"2026-10-24T05:01:56Z"},{"event":"close","at":"2026-10-25T05:00:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 71 · green card filings: 38","filings_12m":71,"filings_prev_12m":72,"green_card_filings_12m":38,"median_offered_wage_usd":150298,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":55}],"liveness":null,"pay":{"stated_usd_annual":145000,"is_top_pay":false},"html_url":"https://alion.io/job/athenahealth-senior-machine-learning-engineer","json_url":"https://alion.io/job/athenahealth-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-27T06:13:34Z","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":6310,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":58449},"rest":"https://alion.io/mcp/rest/get_company?id=58449"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fathenahealth-senior-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%2Fathenahealth-senior-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%2Fathenahealth-senior-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/athenahealth-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fathenahealth-senior-machine-learning-engineer"}]}