AI/ML Algorithm Engineers (Biomedical Signals)

RESPONSIBILITIES:Kforce has a client in Tustin, CA that is seeking AI/ML Algorithm Engineers (Biomedical Signals) to join its advanced R&D team. We are working directly with the hiring manager on these searches. The company offers a competitive compensation package including base salary, annual bonus, and equity (RSUs). This role is fully onsite. Candidates must live in the local Orange County or Los Angeles metro areas.Role OverviewYou will help design and develop next generation, non invasive health monitoring technologies. The focus is on applying AI/ML and biomedical signal processing to multi modal physiological data to support disease detection, diagnosis, and prediction of critical events.You will work with data from invasive and non invasive sensors, electronic medical records, and audio, image, and video sources, collaborating closely with cross functional R&D teams.Key Responsibilities:Design, develop, and deploy AI/ML and deep learning models for biomedical applicationsDevelop advanced algorithms using machine learning, DSP, optimization, and numerical modelingTrain and evaluate models on large datasets using cloud infrastructurePrototype new technologies and contribute patentable ideasCollaborate with hardware and software engineers across R&DSupport clinical studies, including data collection, statistical analysis, and validationImplement physiological measurement algorithms on embedded systemsDeliver high quality, well documented softwareREQUIREMENTS:M.S. or Ph.D. in Electrical, Biomedical, or Computer Engineering (or related field)3-10+ years of work experience in AI/ML, signal processing, and algorithm development specifically in the Biomedical or Medical Device Industry. Medical device or biotechnology industry experience requiredStrong experience with ML/DL techniques (CNNs, RNNs, regression, classification, clustering)Proficiency in Python, MATLAB, and/or C/C++Experience with frameworks such as PyTorch, TensorFlow, Keras, or scikit learnExperience with DSP, embedded systems, and physiological signal analysis (ECG, EEG, EMG, etc.)Strong analytical, communication, and problem solving skillsPreferred:Understanding of human physiology and clinical protocol designPrior application of AI/ML and DSP techniques to biomedical signalsThe 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.By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.