Research Engineer, XR Health & Wellness AI

New Yesterday

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:
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:
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:
Preferred Qualifications:
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
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.
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Location:
Redmond

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