Career-defining. Life-changing.
At 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
About This Role:
iRhythm 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.
Working 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.
Essential Duties and Responsibilities:
- Design, develop, validate, and optimize machine learning algorithms for the analysis of biosignal data, including ECG and longitudinal health record data.
- Contribute to the development and evolution of the machine learning platform and infrastructure that powers iRhythm's diagnostic and insights capabilities.
- Partner with data scientists, software engineers, and clinical experts to translate research innovations into production-quality medical device algorithms.
- Communicate technical findings to cross-functional stakeholders, executive leadership, and external scientific audiences through publications and conference presentations.
Desired Experience and Qualifications: - MS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field.
- Work Experience: Proven track record working in machine learning, AI, image/signal processing or related field.
- Experience developing algorithms for safety-critical systems, preferably within regulated industries such as medical devices, healthcare, aerospace, automotive, or robotics.
Desired Knowledge, Skills and Abilities: - Deep expertise in machine learning, deep learning, statistical modeling, and time-series analysis.
- Experience with large-scale self-supervised learning, multimodal foundation models, representation learning, or generative AI techniques
- Experience developing and training modern deep learning architectures using frameworks such as PyTorch or TensorFlow.
- Strong programming skills in Python and familiarity with Python libraries such as numpy, scikit-learn, pandas, scipy, etc.
- Experience working with large data sets and knowledge of database languages such as SQL.
- Experience developing and deploying machine learning solutions on cloud platforms such as AWS, Azure, or GCP.
- Experience training large-scale deep learning models using distributed multi-node compute environments and optimizing performance at scale.
Location:
Remote - USActual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.
Estimated Pay Range
$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.
iRhythm 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 [email protected]
About iRhythm Technologies
iRhythm 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.
Make iRhythm your path forward. Zio, the heart monitor that changed the game.
There 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 [email protected]. Written offers of employment will be extended in a formal offer letter from an @irhythmtech.com email address ONLY.
For 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
Skills Required
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related quantitative field
- Proven work experience in machine learning, artificial intelligence, image processing, signal processing, or a related field
- Experience developing algorithms for safety-critical systems
- Deep expertise in machine learning, deep learning, statistical modeling, and time-series analysis
- Experience with self-supervised learning, multimodal foundation models, representation learning, or generative AI
- Experience developing and training deep learning architectures with PyTorch or TensorFlow
- Strong Python programming skills and familiarity with NumPy, scikit-learn, pandas, and SciPy
- Experience working with large datasets and SQL
- Experience deploying machine learning solutions on AWS, Azure, or GCP
- Experience training large-scale deep learning models in distributed, multi-node computing environments
- Experience optimizing machine learning performance at scale
- Experience in regulated industries such as medical devices, healthcare, aerospace, automotive, or robotics
iRhythm Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about iRhythm Technologies and has not been reviewed or approved by iRhythm Technologies.
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Healthcare Strength — Core coverage includes medical, dental, and vision alongside HSA contributions, life/disability, and mental‑health resources. Health insurance quality is described positively, including references to being top tier.
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Leave & Time Off Breadth — Paid parental leave, PTO, paid holidays, and a company‑paid Wellness Day are part of the package. These provisions indicate a broad time‑off framework that supports family and recovery needs.
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Fair & Transparent Compensation — Pay is considered competitive in several functions, with technical and product roles often receiving higher total compensation that includes salary, bonus, and equity. Compensation sentiment has improved recently in some areas.
iRhythm Technologies Insights
What We Do
iRhythm is a digital healthcare company redefining the way cardiac arrhythmias are clinically diagnosed by combining our wearable biosensing technology with cloud-based data analytics and machine- learning capabilities. Our goal is to be the leading provider of first-line ambulatory electrocardiogram, or ECG, monitoring for patients at risk for arrhythmias. We have created a unique platform, ZIO by iRhythm, which we believe allows physicians to diagnose many arrhythmias more quickly and efficiently than traditional technologies, avoiding multiple indeterminate tests, allowing for appropriate medical intervention and potentially avoiding more serious downstream medical events, including stroke.







