**Summary:** 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. **Required Skills:** Research Engineer, XR Health & Wellness AI Responsibilities: 1. Build, iterate and optimize ML models and experiment to build state-of-the art performance within wearables constraints 2. Develop and implement data augmentation techniques to improve model performance and robustness 3. Collaborate with cross-functional teams, including hardware engineers, software developers, and clinical experts, to integrate ML models into existing systems and products 4. Evaluate and optimize model performance using various metrics and techniques, such as accuracy, precision, recall, F1 score, and ROC-AUC 5. 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 6. Document and communicate technical findings and results to both technical and non-technical stakeholders 7. Participate in code reviews and contribute to the development of best practices for ML engineering within the company **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. Master's or Ph.D. degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field 10. 3+ years of experience in machine learning, signal processing, and software development 11. Demonstrated experiences in delivering software implementations in languages such as Python 12. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras 13. Familiarity with signal processing techniques and libraries such as NumPy, SciPy, and Pandas 14. Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly 15. Familiarity with machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction 16. Evidenced success with problem-solving skills, attention to detail, and working on time-sensitive projects **Preferred Qualifications:** Preferred Qualifications: 17. Experience with wearable device data, or other relevant healthcare data sources 18. Knowledge of biosignals, and applications including sleep, sleep apnea, Heart Rate Variability, and other health-related topics 19. Experience with transfer learning, domain adaptation, and few-shot learning 20. Familiarity with Explainable AI (XAI) techniques and libraries such as LIME, SHAP, or TreeExplainer **Public Compensation:** $70.67/hour to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.