{"id":1983706,"url":"https://alion.io/job/irhythm-technologies-machine-learning-scientist","title":"Machine Learning Scientist","company":{"id":1901464,"name":"iRhythm Technologies","domain":"irhythmtech.com","url":"https://alion.io/company/irhythmtech","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":6,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":142000,"max_usd":312000,"period":"year","method":"role_country_seniority_unknown","sample_n":3798},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"closed","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-11T07:17:33Z","board_verified":false,"closed_at":"2026-10-11T07:17:33Z","days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Career-defining. Life-changing.\nAt iRhythm, you’ll have the opportunity to grow your skills and your career while impacting the lives of people around the world. iRhythm is shaping a future where everyone, everywhere can access the best possible cardiac health solutions. Every day, we collaborate, create, and constantly reimagine what’s possible. We think big and move fast, driven by our commitment to put patients first and improve lives. We need builders like you. Curious and innovative problem solvers looking for the chance to meaningfully shape the future of cardiac health, our company, and your career\nAbout This Role:\niRhythm is seeking a Machine Learning Scientist to help advance the intelligence behind our diagnostic and biosignal platforms. In this role, you will apply advanced machine learning, artificial intelligence, and signal-processing techniques to one of the world’s largest labeled ECG datasets, with more than 10 million records, to develop innovative algorithms that can enhance diagnostic capabilities and ultimately improve patient outcomes.\nWorking at the intersection of machine learning, physiological signal processing, and digital health, you will explore complex bio signal data, develop and validate novel approaches to algorithmic interpretation, and help translate cutting-edge research into scalable solutions for real-world healthcare applications. You will also contribute to the development of next-generation algorithms for analyzing physiological signals generated by wearable and connected health technologies, helping expand how iRhythm transforms continuous health data into meaningful clinical insights.\nEssential Duties and Responsibilities: \nDesign, develop, validate, and optimize machine learning algorithms for the analysis of biosignal data, including ECG and longitudinal health record data.\nContribute to the development and evolution of the machine learning platform and infrastructure that powers iRhythm's diagnostic and insights capabilities.\nPartner with data scientists, software engineers, and clinical experts to translate research innovations into production-quality medical device algorithms.\nCommunicate technical findings to cross-functional stakeholders, executive leadership, and external scientific audiences through publications and conference presentations. Desired Experience and Qualifications:\nMS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field.\nWork Experience: Proven track record working in machine learning, AI, image/signal processing or related field.\nExperience developing algorithms for safety-critical systems, preferably within regulated industries such as medical devices, healthcare, aerospace, automotive, or robotics. Desired Knowledge, Skills and Abilities:\nDeep expertise in machine learning, deep learning, statistical modeling, and time-series analysis.\nExperience with large-scale self-supervised learning, multimodal foundation models, representation learning, or generative AI techniques\nExperience developing and training modern deep learning architectures using frameworks such as PyTorch or TensorFlow.\nStrong programming skills in Python and familiarity with Python libraries such as numpy, scikit-learn, pandas, scipy, etc.\nExperience working with large data sets and knowledge of database languages such as SQL.\nExperience developing and deploying machine learning solutions on cloud platforms such as AWS, Azure, or GCP.\nExperience training large-scale deep learning models using distributed multi-node compute environments and optimizing performance at scale.\nLocation:\nRemote - USActual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.\nEstimated Pay Range\n$187,000.00 - $243,000.00As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.\niRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty using our online system. If you need such an accommodation, you may contact us at \nAbout iRhythm Technologies\niRhythm is a leading digital healthcare company that creates trusted solutions that detect, predict, and prevent disease. Combining wearable biosensors and cloud-based data analytics with powerful proprietary algorithms, iRhythm distills data from millions of heartbeats into clinically actionable information. Through a relentless focus on patient care, iRhythm’s vision is to deliver better data, better insights, and better health for all.\nMake iRhythm your path forward. Zio, the heart monitor that changed the game.\nThere have been instances where individuals not associated with iRhythm have impersonated iRhythm employees pretending to be involved in the iRhythm recruiting process, or created postings for positions that do not exist. Please note that all open positions will always be shown here on the iRhythm Careers page, and all communications regarding the application, interview and hiring process will come from a @irhythmtech.com email address. Please check any communications to be sure they come directly from @irhythmtech.com email address. If you believe you have been the victim of an imposter or want to confirm that the person you are communicating with is legitimate, please contact . Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address ONLY.\nFor more information, see https://www.ftc.gov/business-guidance/blog/2023/01/taking-ploy-out-employment-scams and https://www.ic3.gov/Media/Y2020/PSA200121","description_format":"text","description_chars":5946,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Machine Learning","Cardiovascular Devices"],"lifecycle":[{"event":"open","at":"2026-10-07T00:59:32Z"},{"event":"close","at":"2026-10-11T07:17:33Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 3","filings_12m":5,"filings_prev_12m":10,"green_card_filings_12m":3,"median_offered_wage_usd":150000,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":2}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/irhythm-technologies-machine-learning-scientist","json_url":"https://alion.io/job/irhythm-technologies-machine-learning-scientist.json","meta":{"generated_at":"2026-10-12T06:44:51Z","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":10800,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1901464},"rest":"https://alion.io/mcp/rest/get_company?id=1901464"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Firhythm-technologies-machine-learning-scientist"},{"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%2Firhythm-technologies-machine-learning-scientist"},{"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%2Firhythm-technologies-machine-learning-scientist"},{"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/irhythm-technologies-machine-learning-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Firhythm-technologies-machine-learning-scientist"}]}