Sensor Research Engineer
New York City
The EMG HW Platform Team at Meta Reality Labs is seeking a Sensor Research Engineer to develop and execute on an EMG-centric sensor technology research agenda that will improve input efficacy and user experience. This work will include traditional sensors, new & novel sensors and multi-modal sensor data fusion. This person will work closely with cross functional teams to understand HW dependencies, develop algorithms, architect sensitive data infrastructure, evaluate novel biosensor technologies, and conduct studies and associated reviews in service of product needs.Sensor Research Engineer Responsibilities
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
- Help develop and execute research & NTI roadmap and strategy in close coordination with product, research, and XFN teams
- Architect sensing solutions, specs, and algorithmic solutions for EMG in collaboration with the product and research teams
- Help develop a fundamental understanding on the causal relationships between HW and Science KPIs
- Design and define research plans, methods, and protocol that deliver on technical roadmap strategy from feasibility to NTI
- Drive the improvement and development of model agnostic EMG KPIs and eventual transfer functions to science KPIs & models
- Develop and consult on study documentation to enable protocol compliance and human subject safety
- Drive a deep understanding via root cause analysis and first principles assessment of various EMG failure modes at the N=1 human
- Understand data collection tools and third-party devices to ensure data validity
- Develop and guide novel computational data analytics to verify and validate sensing methodologies
- Maintain the highest of research standards to ensure validity and reproducibility of results
- Create ad-hoc demos demonstrating low fidelity capability of new HW leveraging existing ML frameworks
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in physics, electrical engineering, mechanical engineering, controls, biophysics, related field or equivalent work experience
- 3+ years of post-doc research experience
- Experience in traditional statistical approaches, novel machine learning techniques, and management of novel, unstructured datasets
- Experience defining, developing and leading large programs in a fast-paced, rapidly changing environment
- Experience with algorithms for biosignal feature extraction
- Experience in computational data analytics
- Experience with peer-reviewed publications in biosensor outcomes research
- Experience investigating the electrochemical interface of biopotential electrodes
- Experience in medical device technologies or related fields
- Experience in clinical settings
- Experience with cross-domain and cross-culture collaboration
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Computer Science Data Analytics Engineering KPIs Machine Learning PhD Physics Research Statistics VR
Perks/benefits: Career development Equity Health care Salary bonus
Region:
North America
Country:
United States
Job stats:
1
0
0
Categories:
Engineering Jobs
Research Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs