San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
Cambridge, MA · On-site
$132K - $173K/yr
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
Cambridge, MA · On-site
$132K - $173K/yr
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
Mountain View, CA · On-site
$273.50 - $369.50/hr
Proficiency in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficiency in NLP techniques, explainable AI, and ML frameworks.
Mountain View, CA · On-site
$273.50 - $369.50/hr
Proficiency in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficiency in NLP techniques, explainable AI, and ML frameworks.
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.
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.
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
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.
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.
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.
$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.
$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.
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments.
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
Lemont, IL · On-site
$72K - $121K/yr
Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in autonomous platforms ...
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.
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.
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.
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.
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.
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.
$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 ...
Quick apply
$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 ...
| 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.
Cities with the most Bayesian Optimization job openings:
States with the most job openings for Bayesian Optimization jobs include:
The top searched job categories for Bayesian Optimization jobs are:
$160K - $200K/yr
Full-time
Re-posted 6 days ago
Federato Technologies is a Series A startup based in San Fransisco, CA looking to hire a data scientist. Federato is a venture backed company funded by some of the most prominent VC's in the Bay Area. We build software to help large insurance carriers improve their portfolio optimization. Our goal is to close down the $150B insurance gap by making insurance affordable again. The initial algorithms used in our product spun out off the founders published research in Reinforcement Learning, Statistics, and Optimization.
The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition.
This is a remote position, but we do have an office in San Fransisco.
You will be the first data scientist on the team working through and building models from scratch that will be pivotal for our business. You will have a huge impact on our success and will be part of a fast growing team!
Demonstrated interest in engineering for impact
2+ years of hands-on industry experience with machine learning and optimization models
2+ years of experience with model deployment, monitoring and version control
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree.
Comfortable with Python, Flask/Django, Pandas and Numpy
Demonstrated ability to pick up new technologies quickly and learn on the spot
Pay Range: $160k - $200k
Sourced by ZipRecruiter
Insurance services
11 - 50 Employees
San Francisco, CA, US
2020
