Machine Learning Scientist (Remote Allowed) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Time-Series Data, High-Frequency Data, Prediction Modeling, Imbalanced Datasets, Healthcare, Clinical Decision Support, Data Engineering, Cloud Environments

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Scientist in United States. We are seeking a highly motivated Machine Learning Scientist to develop cutting-edge AI solutions in healthcare. You will work on research, development, and deployment of machine learning models for real-time clinical decision support, patient monitoring, and alerting systems. The role offers a unique opportunity to impact maternal health outcomes, collaborating with a multidisciplinary team of engineers, researchers, and healthcare experts. You will work on multimodal medical data, designing models that address high-frequency and time-series data challenges, and help translate complex data into actionable clinical insights. This position combines advanced machine learning research with hands-on implementation in real-world healthcare applications, providing both intellectual challenge and tangible impact. Accountabilities: · Research, develop, and deploy machine learning methodologies for real-time healthcare AI systems. · Analyze multimodal medical data, including high-frequency signals and time-series data, to predict clinical risks. · Collaborate with software engineers and healthcare professionals to integrate ML models into clinical workflows. · Rapidly iterate on models, perform evaluations, and optimize solutions for accuracy, speed, and reliability. · Contribute to publications, documentation, and presentations of ML research and outcomes. · Maintain best practices for code quality, model reproducibility, and performance monitoring. · Ph.D. in Computer Science, Machine Learning, AI, or related field. · Proven track record with relevant publications and research contributions. · 5+ years of professional programming experience, with expert Python skills. · Proficiency with ML frameworks: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow. · Experience with time-series, high-frequency data, prediction modeling, and imbalanced datasets. · Strong ability to work independently on unstructured problems while collaborating effectively with teams. · Preferred: experience with medical data, electronic health records, biosensor data, real-time ML deployment, cloud environments, and data engineering pipelines. · Health insurance including medical, dental, and vision coverage. · Retirement plan: 401(k). · Paid time off and flexible leave policies, including maternity/paternity leave. · Opportunity to work on impactful healthcare solutions with a collaborative, mission-driven team. · Exposure to cutting-edge ML research applied to real-world healthcare problems. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Develop and deploy machine learning methodologies for real-time healthcare AI systems. Collaborate with engineers and healthcare professionals to integrate ML models into clinical workflows.