Develop highly scalable deep learning, reinforcement learning and bayesian models. * Support research projects by providing innovative designs for end-to-end Machine Learning systems. * Optimize ...
Develop highly scalable deep learning, reinforcement learning and bayesian models. * Support research projects by providing innovative designs for end-to-end Machine Learning systems. * Optimize ...
Develop highly scalable deep learning, reinforcement learning and bayesian models. * Support research projects by providing innovative designs for end-to-end Machine Learning systems. * Optimize ...
Develop highly scalable deep learning, reinforcement learning and bayesian models. * Support research projects by providing innovative designs for end-to-end Machine Learning systems. * Optimize ...
Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. * Present exploratory findings to both, technical and management ...
Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models. * Present exploratory findings to both, technical and management ...
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Collaborates with stakeholders to define success criteria and align model metrics with business ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Senior Research Scientist, World Action Modeling
Mountain View, CA · On-site
$213K - $263K/yr
AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust ...
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
$205K - $278K/yr
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Responsibilities : • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian ...
Responsibilities : • Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian ...
Proficiency across multiple ML domains: supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics. Production-quality software engineering in Python ...
Proficiency across multiple ML domains: supervised and unsupervised learning, deep learning, time-series modeling, and Bayesian statistics. Production-quality software engineering in Python ...
Professional experience building regression, generalized linear models, hierarchical/multilevel models, and Bayesian approaches * The ability to apply models to realworld datasets and to incorporate ...
Professional experience building regression, generalized linear models, hierarchical/multilevel models, and Bayesian approaches * The ability to apply models to realworld datasets and to incorporate ...
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Staff AI Scientist
Mountain View, CA · On-site
In this role you will be building and deploying machine learning models using both analytical ... Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Experience with temporal or dynamical modeling, Bayesian inference, and survival analysis for clinical outcome data. Scholarly record and collaboration * A track record of first-author peer-reviewed ...
Director, AI Enabled Discovery and Digital R&D
San Jose, CA · On-site +1
$200K - $300K/yr
... models and autonomous experimentation connecting EMD Electronics' capabilities to the businesses of ... Extend Bayesian optimization capabilities to new material systems and R&D domains; deepen ...
Director, AI Enabled Discovery and Digital R&D
San Jose, CA · On-site +1
$200K - $300K/yr
... models and autonomous experimentation connecting EMD Electronics' capabilities to the businesses of ... Extend Bayesian optimization capabilities to new material systems and R&D domains; deepen ...
... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...
... e.g., bayesian pooling, hierarchical modeling) * Demonstrated communication skills and experience presenting complex findings to both technical and non-technical stakeholders * Demonstrated ...
Bayesian Modeling information
What is the difference between Bayesian Modeling vs Data Scientist?
| Aspect | Bayesian Modeling | Data Scientist |
|---|---|---|
| Required Credentials | Statistics, Mathematics, Data Analysis | Statistics, Computer Science, Data Analysis |
| Work Environment | Research-focused, statistical modeling | Cross-functional, data analysis, visualization |
| Industry Usage | Research, academia, specialized analytics | Business, tech, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.
What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?
To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.
How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?
Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.
What is Bayesian modeling?
Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in California? For Bayesian Modeling jobs in California, the most frequently searched job titles are:
- Internship Applied Intelligence
- Intern Data Scientist Apprentice
- Graph Anomaly Detection
- Data Scientist Internship
- Internship Bioinformatics Data Scientist
- Manager Scientific Database Curator
- Internship Marine Biologist
- Overnight Computational Linguistics Intern
- Internship Junior Data Scientist
- Data Scientist R Remote
What job categories do people searching Bayesian Modeling jobs in California look for? The top searched job categories for Bayesian Modeling jobs in California are:
Full-time
Posted 14 days ago
Job description
Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.
Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.
Responsibilities:
Qualifications
Minimum qualifications:
Preferred qualifications:
Additional Information
All your information will be kept confidential according to EEO guidelines.
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.
Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.
Responsibilities:
- Develop highly scalable deep learning, reinforcement learning and bayesian models.
- Support research projects by providing innovative designs for end-to-end Machine Learning systems.
- Optimize performance of complex machine learning systems. Exploit modern parallel environments.
- Design and develop software libraries.
- Partner with Product and Engineering teams to explore new opportunities.
- Influence product features and product roadmap through exploratory analysis.
- Report and present software developments verbally and in writing.
Qualifications
Minimum qualifications:
- PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
- Strong knowledge and experience in Python, Docker and Kubernetes.
- Working experience in Tensorflow.
- Working experience with distributed software architecture.
- Knowledge of machine learning and statistics.
Preferred qualifications:
- Strong experience in Tensorflow or similar frameworks.
- Strong experience with concurrent and distributed software architecture.
- Experience with Hadoop.
- Experience with C++/Java/Scala.
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Quantiply
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2014