Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Principal AI Scientist - AI Foundation
Mountain View, CA · On-site
$273K - $369K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Automation & Controls Engineer
College Station, TX · On-site
$90 - $120/hr
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Automation & Controls Engineer
College Station, TX · On-site
$90 - $120/hr
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Machine Learning Engineer
Santa Rosa, CA · On-site
$108K - $180K/yr
Apply Bayesian/GP optimization for adaptive calibration loop closure, impedance tuner control, and parametric yield optimization; RL (PPO, DDPG, SAC) for automated measurement sequencing and closed ...
Machine Learning Engineer
Santa Rosa, CA · On-site
$108K - $180K/yr
Apply Bayesian/GP optimization for adaptive calibration loop closure, impedance tuner control, and parametric yield optimization; RL (PPO, DDPG, SAC) for automated measurement sequencing and closed ...
Staff AI Scientist
Manhattan, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Manhattan, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Senior Deep Learning Researcher
$205K - $275K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Senior Deep Learning Researcher
$205K - $275K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Machine Learning Research Engineer, Scientific AI
Emeryville, CA · On-site
$113K - $145K/yr
Explore approaches such as protein representation learning, graph and geometric deep learning, generative and diffusion models, multimodal learning, active learning, and Bayesian optimization where ...
Machine Learning Research Engineer, Scientific AI
Emeryville, CA · On-site
$113K - $145K/yr
Explore approaches such as protein representation learning, graph and geometric deep learning, generative and diffusion models, multimodal learning, active learning, and Bayesian optimization where ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Senior Deep Learning Researcher
Billerica, MA · On-site
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Senior Deep Learning Researcher
Billerica, MA · On-site
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Staff AI Scientist
New York, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
New York, NY · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
... Bayesian optimization, probabilistic modeling, or statistical methods. * Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch . * Public portfolio of ...
Quick apply
... Bayesian optimization, probabilistic modeling, or statistical methods. * Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch . * Public portfolio of ...
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Mountain View, CA · On-site
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Familiarity with Bayesian optimization, active learning, or generative models * Experience in reinforcement learning or agent-based approaches to scientific reasoning * Open-source contributions or ...
Familiarity with Bayesian optimization, active learning, or generative models * Experience in reinforcement learning or agent-based approaches to scientific reasoning * Open-source contributions or ...
Staff AI Scientist
Mountain View, CA · On-site
$150 - $190/hr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
Mountain View, CA · On-site
$150 - $190/hr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Staff AI Scientist
$209K - $283K/yr
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Automation Engineer
Auburn Hills, MI · On-site
Experience implementing ML and Bayesian optimization frameworks (e.g., PyTorch, TensorFlow, BoTorch)
Quick apply
Automation Engineer
Auburn Hills, MI · On-site
Experience implementing ML and Bayesian optimization frameworks (e.g., PyTorch, TensorFlow, BoTorch)
Machine Learning Engineer
Santa Rosa, CA · On-site
$108 - $181/hr
Apply Bayesian/GP optimization for adaptive calibration loop closure, impedance tuner control, and parametric yield optimization; RL (PPO, DDPG, SAC) for automated measurement sequencing and closed ...
Machine Learning Engineer
Santa Rosa, CA · On-site
$108 - $181/hr
Apply Bayesian/GP optimization for adaptive calibration loop closure, impedance tuner control, and parametric yield optimization; RL (PPO, DDPG, SAC) for automated measurement sequencing and closed ...
Bayesian Optimization information
What is the difference between Bayesian Optimization vs Data Scientist?
| Aspect | Bayesian Optimization | Data Scientist |
|---|---|---|
| Primary Focus | Optimizing complex functions and hyperparameters | Analyzing data, building models, deriving insights |
| Required Skills | Statistics, probability, machine learning, programming | Statistics, programming, data analysis, visualization |
| Work Environment | Research labs, AI/ML teams, R&D departments | Business, tech companies, consulting firms |
| Common Tools | Python, R, Bayesian libraries (e.g., GPy, scikit-optimize) | Python, R, SQL, visualization tools |
Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.
More about Bayesian Optimization jobs
What cities are hiring for Bayesian Optimization jobs?
Cities with the most Bayesian Optimization job openings:
What states have the most Bayesian Optimization jobs?
States with the most job openings for Bayesian Optimization jobs include:
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The top searched job categories for Bayesian Optimization jobs are:
Intuit rating
8.2
Based on 92 frontline employees who took The Breakroom Quiz
105th of 247 rated software companies
Job description
Overview
Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team.
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
About Intuit
Sourced by ZipRecruiter
Industry
Computer and electronic product manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Mountain View, CA, US