Machine Learning Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $187k - $243k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

iRhythm Technologies, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

iRhythm Technologies, Inc. is a medical technology company that specializes in digital healthcare solutions for the management of cardiac arrhythmias. The company is best known for its ZioSuite, a comprehensive platform designed to deliver a streamlined solution for assessing heart health through advanced analytics and patient-centered data collection. iRhythm focuses on improving patient outcomes and optimizing the efficiency of healthcare providers through innovative technology in the cardiac monitoring space.

📋 Description

• Design, develop, validate, and optimize machine learning algorithms for biosignal data, including ECG and longitudinal health record data. • Contribute to the development and evolution of the machine learning platform and infrastructure powering 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. • Apply machine learning, artificial intelligence, and signal-processing techniques to a large labeled ECG dataset to develop algorithms that enhance diagnostic capabilities and patient outcomes. • Explore complex biosignal data, develop and validate novel algorithmic interpretation approaches, and translate research into scalable healthcare solutions. • Contribute to next-generation algorithms for analyzing physiological signals from wearable and connected health technologies.

🎯 Requirements

• MS or PhD in Computer Science, Electrical Engineering, Statistics or a related quantitative field. • 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. • 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 numpy, scikit-learn, pandas, scipy, and related libraries. • 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.