Senior Principal Biomedical ML/Algorithm Engineer

RESPONSIBILITIES:

Kforce is looking for a (x3) Senior Principal Biomedical ML/Algorithm Engineers to join a cutting-edge R&D team focused on developing next-generation health monitoring and medical devices. Open to relocation in Irvine, CA.

Summary:

This role focuses on designing and deploying AI/ML models that analyze complex physiological data to support disease detection, diagnosis, and prediction of critical events. You'll work with large, multi-modal datasets-including continuous sensor data, biomedical signals, and clinical data-while collaborating closely with hardware, software, and systems engineering teams to bring algorithms into production.

Key responsibilities include developing and validating machine learning and deep learning models, prototyping new ideas, contributing to algorithm design and implementation, and supporting data analysis tied to clinical studies. This is a highly collaborative role with real-world impact, emphasizing both innovation and deployment quality.

REQUIREMENTS:

• M.S. or Ph.D. in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, or a related field
• 3+ years of experience in AI/ML, deep learning, or statistical signal processing (Engineer II may require less)

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• Hands-on experience with machine learning techniques (regression, classification, clustering, anomaly detection)
• Experience with deep learning models (e.g., CNNs, RNNs)
• Proficiency in Python and/or MATLAB; working knowledge of C/C++
• Experience using ML frameworks such as PyTorch, TensorFlow, Keras, or scikit-learn
• Strong data analysis, modeling, and problem-solving skills
• Ability to work in a fast-paced, cross-functional R&D environment
• Strong written and verbal communication skills
  
  

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Preferred:

• Experience applying AI/ML to biomedical or physiological data
• Familiarity with DSP, embedded systems, or signal processing
• Exposure to clinical data analysis or clinical study design
• Background in computer vision, audio/speech processing, or sensor-based data
• Experience working with large datasets or cloud-based ML workflows
  
  

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The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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