Research Engineer, XR Health & Wellness AI Redmond, WA • Facebook Reality Labs •

Research Engineer, XR Health & Wellness AI We are seeking a highly skilled Machine Learning (ML) Engineer to join our team in developing cutting-edge algorithms for health & wellness. In this role, you will be working with research scientists and engineers and apply your expertise in machine learning, signal processing, and software development to build and deploy models that can accurately detect and predict various health conditions. Research Engineer, XR Health & Wellness AI Responsibilities Build, iterate and optimize ML models and experiment to build state-of-the art performance within wearables constraints Develop and implement data augmentation techniques to improve model performance and robustness Collaborate with cross-functional teams, including hardware engineers, software developers, and clinical experts, to integrate ML models into existing systems and products Evaluate and optimize model performance using various metrics and techniques, such as accuracy, precision, recall, F1 score, and ROC-AUC Stay up-to-date with the latest advancements in machine learning, signal processing, and related fields, and apply this knowledge to improve model performance and innovation Document and communicate technical findings and results to both technical and non-technical stakeholders Participate in code reviews and contribute to the development of best practices for ML engineering within the company Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Master's or Ph.D. degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field 3+ years of experience in machine learning, signal processing, and software development Demonstrated experiences in delivering software implementations in languages such as Python Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras Familiarity with signal processing techniques and libraries such as NumPy, SciPy, and Pandas Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Familiarity with machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction Evidenced success with problem-solving skills, attention to detail, and working on time-sensitive projects Preferred Qualifications Experience with wearable device data, or other relevant healthcare data sources Knowledge of biosignals, and applications including sleep, sleep apnea, Heart Rate Variability, and other health-related topics Experience with transfer learning, domain adaptation, and few-shot learning Familiarity with Explainable AI (XAI) techniques and libraries such as LIME, SHAP, or TreeExplainer For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. $70.67/hour to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the

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. Apply for this job Take the first step toward a rewarding career at Meta. Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here . Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .

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