Joby Aviation
Staff Data Scientist Prognostics and Health Monitoring
Joby Aviation, Santa Cruz, California, us, 95061
Joby Overview:Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. Weve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. Were looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
Overview:
Joby Aviation is seeking a skilled Data Scientist with a specialized background in developing Prognostics and Health Monitoring (PHM) algorithms, specifically for aircraft or heavy machinery applications. The ideal candidate will bring a proven track record in contributing to the research and development of cutting-edge diagnostic and prognostic solutions for critical applications. As a valuable member of our dynamic team, the successful candidate will play a pivotal role in designing innovative diagnostics and prognostics algorithms tailored for the Joby S4 vehicle. This position involves active participation in all stages of the product development lifecycle, requiring expertise in requirements gathering, design, validation, documentation, release, and maintenance. You will also need to work closely with your colleagues across a broad set of highly technical disciplines who depend on data. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies.Responsibilities:Develop models and scalable algorithms derived from both data and underlying physics to evaluate the condition of electro-mechanical systemsCreate predictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical componentsFormulate health monitoring strategies to detect anomalies/outliers in real flight dataConduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) in diverse application areasGather and analyze equipment lifecycle history, including failure modes, downtime, MTBF, etc.Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failuresWrangle data from a multitude of formats and systems (Avro, TDMS, PostgreSQL, AWS, etc.)Conduct data analysis and interpret sensor data from a number of physical tests (aircraft, simulators, reliability test equipment, subsystem tests, etc.)Collaborate with cross-functional teams and subject matter experts to integrate prognostic solutions into existing systems and workflowsSupport field testing and validation efforts, working closely with test engineers and technicians to validate prognostic models in real-world environmentsAutomate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detectionComfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirementsStay current with advancements in machine learning, particularly in the areas of data-driven prognostics and physics-based machine learningThe primary location for this role is in Santa Cruz CA. but an alternate location of San Carlos, CA. is also possible.Required:MS or PhD in Electrical, Computer Science, Mechanical, or Aerospace Engineering, or similar field and 7+ years of relevant experience.Work experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systemsStrong background in data analysis (algorithms, data structures, and architectures), probability, statistics, signal processing, and predictive modelingExperience with rotating machinery diagnostics and vibrational analysis, preferably in the aerospace industryStrong programming skills, preferably in Python and its numerical and data libraries (pandas, scipy, numpy, etc.)Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.)Work experience with anomaly/outlier detection in time series dataProficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep LearningStrong written and verbal communication skillsSelf-starter capable of working with limited supervision and guidanceExperience leading teams and projects from conception to completionStrong verbal and written communication skillsDesired:
Experience with Health and Usage Monitoring Systems (HUMS) and their certificationKnowledge of aerospace systems, components, and their failure modesFamiliarity with fault detection and diagnosis methods, and reliability analysisExperience with MLOps and building machine learning pipelines in a professional settingRecord of generating new ideas or improving existing ideas in statistical modeling or machine learning, demonstrated by accomplishments such as first-author publications or projectsExperience with data architectures in relation to how to store, fetch, and manipulate data (SQL, custom APIs, etc.)Used Git in small to medium size teams for code reviews.Please still apply if you dont meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $148,700 - $198,200/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.EEO:Joby is an Equal Opportunity Employer.
Overview:
Joby Aviation is seeking a skilled Data Scientist with a specialized background in developing Prognostics and Health Monitoring (PHM) algorithms, specifically for aircraft or heavy machinery applications. The ideal candidate will bring a proven track record in contributing to the research and development of cutting-edge diagnostic and prognostic solutions for critical applications. As a valuable member of our dynamic team, the successful candidate will play a pivotal role in designing innovative diagnostics and prognostics algorithms tailored for the Joby S4 vehicle. This position involves active participation in all stages of the product development lifecycle, requiring expertise in requirements gathering, design, validation, documentation, release, and maintenance. You will also need to work closely with your colleagues across a broad set of highly technical disciplines who depend on data. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies.Responsibilities:Develop models and scalable algorithms derived from both data and underlying physics to evaluate the condition of electro-mechanical systemsCreate predictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical componentsFormulate health monitoring strategies to detect anomalies/outliers in real flight dataConduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) in diverse application areasGather and analyze equipment lifecycle history, including failure modes, downtime, MTBF, etc.Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failuresWrangle data from a multitude of formats and systems (Avro, TDMS, PostgreSQL, AWS, etc.)Conduct data analysis and interpret sensor data from a number of physical tests (aircraft, simulators, reliability test equipment, subsystem tests, etc.)Collaborate with cross-functional teams and subject matter experts to integrate prognostic solutions into existing systems and workflowsSupport field testing and validation efforts, working closely with test engineers and technicians to validate prognostic models in real-world environmentsAutomate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detectionComfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirementsStay current with advancements in machine learning, particularly in the areas of data-driven prognostics and physics-based machine learningThe primary location for this role is in Santa Cruz CA. but an alternate location of San Carlos, CA. is also possible.Required:MS or PhD in Electrical, Computer Science, Mechanical, or Aerospace Engineering, or similar field and 7+ years of relevant experience.Work experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systemsStrong background in data analysis (algorithms, data structures, and architectures), probability, statistics, signal processing, and predictive modelingExperience with rotating machinery diagnostics and vibrational analysis, preferably in the aerospace industryStrong programming skills, preferably in Python and its numerical and data libraries (pandas, scipy, numpy, etc.)Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.)Work experience with anomaly/outlier detection in time series dataProficient in data-driven methods, Regression, Neural Networks, Machine Learning and Deep LearningStrong written and verbal communication skillsSelf-starter capable of working with limited supervision and guidanceExperience leading teams and projects from conception to completionStrong verbal and written communication skillsDesired:
Experience with Health and Usage Monitoring Systems (HUMS) and their certificationKnowledge of aerospace systems, components, and their failure modesFamiliarity with fault detection and diagnosis methods, and reliability analysisExperience with MLOps and building machine learning pipelines in a professional settingRecord of generating new ideas or improving existing ideas in statistical modeling or machine learning, demonstrated by accomplishments such as first-author publications or projectsExperience with data architectures in relation to how to store, fetch, and manipulate data (SQL, custom APIs, etc.)Used Git in small to medium size teams for code reviews.Please still apply if you dont meet all items in the desired section! Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse and effective workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $148,700 - $198,200/yr. The compensation package offered will be determined by location, job-related knowledge, skills, and experience.Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.EEO:Joby is an Equal Opportunity Employer.