As a Prognostics and Health Management (PHM) Senior Engineer on the Fleet Health Management (FHM ... Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty ...
As a Prognostics and Health Management (PHM) Senior Engineer on the Fleet Health Management (FHM ... Experience with Bayesian networks or probabilistic modeling. * Experience with uncertainty ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$203K - $241K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$203K - $241K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Manger, Modeling Insights
Los Angeles, CA · On-site
$90K - $100K/yr
ApplyBayesian and probabilistic methodsto quantify uncertainty and improve decision-making ... Perform feature engineering, model evaluation, and impact measurement, clearly communicating ...
Manger, Modeling Insights
Los Angeles, CA · On-site
$90K - $100K/yr
ApplyBayesian and probabilistic methodsto quantify uncertainty and improve decision-making ... Perform feature engineering, model evaluation, and impact measurement, clearly communicating ...
Staff, Data Scientist
Sunnyvale, CA · On-site
Engineer for production from day one on Databricks (on GCP) -PySpark+ Delta for distributed ... Bayesian methods, reconciliation across hierarchies, calibrated probabilistic projections, and ...
Staff, Data Scientist
Sunnyvale, CA · On-site
Engineer for production from day one on Databricks (on GCP) -PySpark+ Delta for distributed ... Bayesian methods, reconciliation across hierarchies, calibrated probabilistic projections, and ...
Senior Data Scientist
Menlo Park, CA · On-site
$156K - $224K/yr
... probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches ... Engineering, Computer Science) or equivalent practical experience. * 8+ years of experience ...
Senior Data Scientist
Menlo Park, CA · On-site
$156K - $224K/yr
... probabilistic models (e.g., hierarchical models, state-space models, Bayesian approaches ... Engineering, Computer Science) or equivalent practical experience. * 8+ years of experience ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
(USA)Staff, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
Cupertino, CA · On-site
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
Sunnyvale, CA · On-site
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
Sunnyvale, CA · On-site
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
(USA)Staff, Data Scientist
$143K - $286K/yr
... engineered time features) * Deep learning (RNN/LSTM/GRU, Temporal Convolutional Networks (TCNs), TimesFM) * Probabilistic forecasting and uncertainty quantification (quantile regression, Bayesian ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Autonomy Systems Software Engineer
San Francisco, CA · On-site
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Autonomy Systems Software Engineer
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Quick apply
Autonomy Systems Software Engineer
$200K - $245K/yr
Strong programming skills in Python, MATLAB, C++, or C * Hands-on work across multiple of the ... Bayesian inference (e.g., beta and gamma distributions) * Markov models and probabilistic system ...
Software Development Engineer - Location Technologies, Sensing & Connectivity
Cupertino, CA · On-site
... programming skills in C, C++, Objective-C, or Swift, with solid foundation in algorithms, data ... Background in signal processing, Kalman filtering, particle filters, or other probabilistic state ...
Software Development Engineer - Location Technologies, Sensing & Connectivity
Cupertino, CA · On-site
... programming skills in C, C++, Objective-C, or Swift, with solid foundation in algorithms, data ... Background in signal processing, Kalman filtering, particle filters, or other probabilistic state ...
Data Scientist
San Francisco, CA · On-site
... Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record ... Partner with Data Engineering to define data requirements, validate pipelines, and ensure model ...
Data Scientist
San Francisco, CA · On-site
... Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record ... Partner with Data Engineering to define data requirements, validate pipelines, and ensure model ...
... Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record ... Partner with Data Engineering to define data requirements, validate pipelines, and ensure model ...
Quick apply
... Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record ... Partner with Data Engineering to define data requirements, validate pipelines, and ensure model ...
Probabilistic Programming Bayesian information
What are the typical challenges faced by professionals working in Probabilistic Programming with a Bayesian focus, and how can they be addressed?
Professionals working in Probabilistic Programming with a Bayesian focus often encounter challenges related to model complexity, computational efficiency, and communicating results to non-technical stakeholders. Building accurate Bayesian models requires careful selection of priors and an understanding of underlying data distributions, which can be demanding without robust domain expertise. Additionally, computational demands can be high, especially for large datasets or complex hierarchical models, making efficient sampling and approximation methods essential. Collaborating closely with domain experts and leveraging modern probabilistic programming frameworks can help address these challenges and ensure practical, interpretable results.
What is probabilistic programming in the context of Bayesian statistics?
Probabilistic programming in the context of Bayesian statistics refers to writing computer programs that use probability distributions and Bayesian inference to model uncertainty and learn from data. These programs allow users to define complex probabilistic models using code, making it easier to specify, fit, and analyze Bayesian models. Probabilistic programming languages, such as Stan, PyMC, or Edward, provide tools to automate inference, enabling practitioners to focus on modeling rather than mathematical derivations. This approach is widely used in fields like machine learning, data science, and scientific research to handle uncertainty and make predictions.
What is the difference between Probabilistic Programming Bayesian vs Data Scientist?
| Aspect | Probabilistic Programming Bayesian | Data Scientist |
|---|---|---|
| Required credentials | Background in statistics, probability, programming | Statistics, computer science, or related degree |
| Work environment | Research, modeling, algorithm development | Data analysis, visualization, business insights |
| Industry usage | AI, machine learning, research projects | Business, finance, tech, healthcare |
Probabilistic Programming Bayesian focuses on developing models using Bayesian methods and probabilistic programming languages, often in research or AI development. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require statistical knowledge, Bayesian programmers specialize in probabilistic modeling, whereas Data Scientists apply a broader set of data analysis techniques.
What are the key skills and qualifications needed to thrive as a Probabilistic Programming Bayesian specialist, and why are they important?
To thrive as a Probabilistic Programming Bayesian specialist, you need a strong background in statistics, probability theory, and Bayesian inference, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with probabilistic programming languages (such as Stan, PyMC, or TensorFlow Probability) and familiarity with statistical modeling software are also essential. Analytical thinking, problem-solving, and effective communication skills help translate complex models into actionable insights and collaborate with interdisciplinary teams. These skills and qualities are crucial for developing robust, interpretable models that inform decision-making in research and industry applications.
What are popular job titles related to Probabilistic Programming Bayesian jobs in California? For Probabilistic Programming Bayesian jobs in California, the most frequently searched job titles are:
What job categories do people searching Probabilistic Programming Bayesian jobs in California look for? The top searched job categories for Probabilistic Programming Bayesian jobs in California are:
What cities in California are hiring for Probabilistic Programming Bayesian jobs? Cities in California with the most Probabilistic Programming Bayesian job openings:
$117K - $161K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 29 days ago
Lucid Motors rating
7.4
Based on 35 frontline employees who took The Breakroom Quiz
17th of 44 rated automakers
Job description
Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
Role Description:
- As a Prognostics and Health Management (PHM) Senior Engineer on the Fleet Health Management (FHM) team, you will develop advanced PHM solutions that eliminate unplanned downtime, optimize maintenance strategies, and drive system-wide improvements across the fleet. You will own the design, deployment, and performance monitoring of health models for Software-Defined Vehicles (SDVs), working closely with cross-functional teams to integrate PHM strategies into vehicle platforms and service operations.
- This role offers the opportunity to lead technical initiatives, apply reliability principles combined with data-driven methodologies, and shape the future of health management capabilities that improve vehicle reliability, availability, and customer satisfaction.
Responsibilities:
- Technical Leadership & Strategy: Develop scalable, robust health management solutions across vehicle platforms, influencing design and serviceability from early-stage concept to deployment.
- Cross-functional Collaboration: Collaborate with engineering, software, data science, service, and operations teams to embed PHM features into vehicle systems and digital infrastructure.
- Advanced Health Model Development: Develop, validate, and deploy advanced fault detection, diagnostic, and prognostic algorithms using statistical and machine learning methods, ensuring scalability, efficiency, and reliability of the models.
- Maintenance Intelligence & Optimization: Drive the development of health assessment tools and maintenance prioritization frameworks that improve uptime and optimize service resource planning.
- Model Performance Monitoring & Continuous Improvement: Establish monitoring pipelines and metrics to assess health model performance post-deployment and identify opportunities for refinement.
- FHM Platform and Framework Evolution: Guide PHM system integration, leveraging inputs from FMEA/FMEDA, diagnostics, and field performance data.
- Innovation and Industry Alignment: Stay at the forefront of PHM technology, Software-Defined Vehicle architectures, and data-driven reliability practices. Apply emerging trends to advance our tools, methodologies, and product capabilities.
Qualifications:
- Bachelors or Masters degree in Electrical, Mechanical Engineering, Computer Science, or related fields.
- 5+ years of experience in PHM, reliability engineering, diagnostics, or related areas.
- Proficiency in Python, SQL, and Git with strong data analysis and statistical modeling skills.
- Hands-on experience with machine learning for predictive maintenance or reliability forecasting.
- Experience developing and deploying ML models in edge or cloud environments.
- Deep understanding of system reliability principles and failure analysis techniques.
- Strong verbal and written communication skills for documenting and reporting to leadership.
- One Team Mentality: Must be a self-starter, capable of independently identifying and pursuing opportunities to advance the team's vision. Must regularly seek and incorporate feedback to ensure alignment with the teams goal.
Preferred Qualifications:
- Familiarity with automotive standards, vehicle dynamics, and telematics data.
- Exposure to Machine Learning Operations (MLOps) and scalable deployment practices.
- Experience with Bayesian networks or probabilistic modeling.
- Experience with uncertainty quantification techniques, such as Bayesian Inference, Monte Carlo simulation.
- Experience with building Digital Twin using physics-based modeling.
- Knowledge of automotive diagnostics, FMEA/FMEDA methodologies, and embedded system design.
- Experience with C++ and software integration for real-time systems.
- Experience with requirements management tools such as JAMA and Cameo.
- Familiarity with Software-Defined Vehicle architectures and service operations integration.
Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
Base Pay Range (Annual)
$154,000—$211,750 USD
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
What Lucid Motors employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Lucid Motors
Sourced by ZipRecruiter
Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.
Industry
Manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Newark, CA, US
Year founded
2007