Meta
Research Engineer, XR Health & Wellness AI
Join to apply for the
Research Engineer, XR Health & Wellness AI
role at
Meta Research Engineer, XR Health & Wellness AI
Join to apply for the
Research Engineer, XR Health & Wellness AI
role at
Meta Get AI-powered advice on this job and more exclusive features. This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$70.67/yr - $208,000.00/yr 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
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.
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.
$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. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Meta by 2x Sign in to set job alerts for “Research Engineer” roles.
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Join to apply for the
Research Engineer, XR Health & Wellness AI
role at
Meta Research Engineer, XR Health & Wellness AI
Join to apply for the
Research Engineer, XR Health & Wellness AI
role at
Meta Get AI-powered advice on this job and more exclusive features. This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$70.67/yr - $208,000.00/yr 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
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.
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.
$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. Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Meta by 2x Sign in to set job alerts for “Research Engineer” roles.
Seattle, WA $143,000.00-$312,800.00 3 days ago Research Scientist, Robotics Research - New College Grad 2025
Seattle, WA $160,000.00-$258,750.00 2 weeks ago Applied Scientist, Autonomous Systems and Control Simulation
Bothell, WA $128,119.00-$167,740.00 3 weeks ago Redmond, WA $85,000.00-$110,000.00 2 weeks ago Redmond, WA $170,000.00-$240,000.00 6 days ago Greater Seattle Area $99,461.00-$128,329.00 2 weeks ago Seattle, WA $110,000.00-$180,000.00 2 weeks ago Redmond, WA $147,000.00-$208,000.00 2 weeks ago Bellevue, WA $130,000.00-$200,000.00 2 weeks ago Redmond, WA $139,000.00-$200,000.00 5 days ago Seattle, WA $100,000.00-$220,000.00 3 months ago Scientist, Protein Expression and Purification
Greater Seattle Area $100,000.00-$140,000.00 6 days ago Redmond, WA $177,000.00-$251,000.00 2 days ago Greater Seattle Area $140,000.00-$210,000.00 6 days ago Seattle, WA $184,000.00-$356,500.00 2 weeks ago Seattle, WA $135,000.00-$158,000.00 1 month ago Bellevue, WA $163,360.00-$245,040.00 2 hours ago Seattle, WA $136,000.00-$212,800.00 2 weeks ago Seattle, WA $88,910.00-$133,506.00 2 weeks ago Redmond, WA $100,600.00-$215,400.00 4 days ago Seattle, WA $100,000.00-$220,000.00 5 months ago Redmond, WA $80,000.00-$180,000.00 4 months ago Seattle, WA $340,000.00-$425,000.00 1 week ago Seattle, WA $113,000.00-$195,200.00 4 days ago Seattle, WA $167,030.00-$260,570.00 2 weeks ago Redmond, WA $139,000.00-$200,000.00 4 days ago Bothell, WA $100,000.00-$140,000.00 6 days ago Bellevue, WA $80,000.00-$90,000.00 1 week ago Redmond, WA $147,000.00-$208,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr