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.

Equal Employment Opportunity 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 Accommodations request form.