Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and ...
Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and ...
... Bayesian inference, cross-validation strategies, dimensionality reduction, and more.Author Gold ... Fully remote and flexible -- work when and where it suits you.Freelance autonomy with meaningful ...
... Bayesian inference, cross-validation strategies, dimensionality reduction, and more.Author Gold ... Fully remote and flexible -- work when and where it suits you.Freelance autonomy with meaningful ...
Staff Machine Learning Engineer - VLM/LLM Evaluation
Kirkland, WA · On-site +1
$238K - $302K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Staff Machine Learning Engineer - VLM/LLM Evaluation
Kirkland, WA · On-site +1
$238K - $302K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Research Scientist, RL for Autonomous Planning & World Modeling
Kirkland, WA · On-site +1
$204K - $259K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will ... Please speak with your recruiter about your preferred location for remote work when you begin the ...
Research Scientist, RL for Autonomous Planning & World Modeling
Kirkland, WA · On-site +1
$204K - $259K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will ... Please speak with your recruiter about your preferred location for remote work when you begin the ...
Senior Research Scientist, World Action Modeling
Kirkland, WA · On-site +1
$213K - $263K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Senior Research Scientist, World Action Modeling
Kirkland, WA · On-site +1
$213K - $263K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Senior Machine Learning Engineer - VLM/LLM Evaluation
Kirkland, WA · On-site +1
$204K - $259K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Senior Machine Learning Engineer - VLM/LLM Evaluation
Kirkland, WA · On-site +1
$204K - $259K/yr
... Bayesian inference, hierarchical learning, and robust evaluation. This role follows a hybrid work ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...
Product Manager
Seattle, WA · On-site +1
Tuesday-Thursday in-office, Monday and Friday remote. This role also requires East Coast work hours ... Familiarity with experimentation methodologies (e.g., Bayesian statistics, multi-arm bandit testing)
Product Manager
Seattle, WA · On-site +1
Tuesday-Thursday in-office, Monday and Friday remote. This role also requires East Coast work hours ... Familiarity with experimentation methodologies (e.g., Bayesian statistics, multi-arm bandit testing)
Remote Bayesian information
See Seattle, WA salary details
$95K - $104.1K
5% of jobs
$104.1K - $113.1K
6% of jobs
$113.1K - $122.2K
12% of jobs
$123.6K is the 25th percentile. Wages below this are outliers.
$122.2K - $131.2K
12% of jobs
$131.2K - $140.3K
14% of jobs
The median wage is $141.3K / yr.
$140.3K - $149.3K
15% of jobs
$149.3K - $158.4K
11% of jobs
$159.5K is the 75th percentile. Wages above this are outliers.
$158.4K - $167.4K
11% of jobs
$167.4K - $176.5K
7% of jobs
$176.5K - $185.5K
4% of jobs
$185.5K - $194.6K
4% of jobs
$95K
$144.6K
$194.6K
How much do remote bayesian jobs pay per year?
As of May 30, 2026, the average yearly pay for remote bayesian in Seattle, WA is $144,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $163,300.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Remote Bayesian, and why are they important?
To thrive as a Remote Bayesian, you need strong statistical knowledge, expertise in Bayesian inference, and a background in mathematics or data science, often supported by an advanced degree. Familiarity with programming languages like Python or R, Bayesian software such as Stan or PyMC, and experience with remote collaboration tools are typically required. Critical thinking, problem-solving, and clear communication are essential soft skills for interpreting results and working with distributed teams. These abilities are vital for delivering accurate, actionable insights in a remote environment where clear analysis and collaboration drive project success.
How do Remote Bayesian professionals typically collaborate with cross-functional teams given the virtual nature of their work?
Remote Bayesian professionals often work closely with data scientists, engineers, and decision-makers through virtual collaboration tools such as video conferencing, shared code repositories, and project management platforms. Clear communication is key, as they must explain complex probabilistic models and inferences to both technical and non-technical stakeholders. Regular check-ins and documentation help ensure alignment on project goals, data requirements, and model outcomes. This collaborative dynamic fosters an environment where insights from Bayesian analysis can directly inform business or research decisions, despite the physical distance.
What is a Remote Bayesian?
A Remote Bayesian is a professional who specializes in Bayesian statistics and probabilistic modeling while working remotely, often in fields like data science, machine learning, or research. They use Bayesian methods to update probabilities and make predictions based on data, collaborating with teams through digital communication tools. Remote Bayesians may work for tech companies, research institutions, or as independent consultants, applying their expertise to solve complex problems without being tied to a physical office location.
What is the difference between Remote Bayesian vs Remote Data Scientist?
| Aspect | Remote Bayesian | Remote Data Scientist |
|---|---|---|
| Required Credentials | Background in statistics, Bayesian methods, programming (Python/R) | Statistics, computer science, or related degree; programming skills |
| Work Environment | Research-focused, analytical tasks, often in tech or finance | Data analysis, modeling, business insights across industries |
| Industry Usage | Research institutions, AI, machine learning, finance | Tech companies, consulting, finance, healthcare |
Remote Bayesian specialists focus on Bayesian statistical methods and probabilistic modeling, often in research or AI contexts. Remote Data Scientists have broader roles in data analysis and modeling across various industries. While both roles require strong analytical skills and programming, Remote Bayesian roles emphasize Bayesian techniques, whereas Remote Data Scientist roles encompass a wider range of data analysis tasks.
What are the most commonly searched types of Bayesian jobs in Seattle, WA? The most popular types of Bayesian jobs in Seattle, WA are:
What are popular job titles related to Remote Bayesian jobs in Seattle, WA? For Remote Bayesian jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Bayesian jobs in Seattle, WA look for? The top searched job categories for Remote Bayesian jobs in Seattle, WA are:
Contractor
Posted 26 days ago
Job description
100% telecommute
Description: We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Responsibilities:
Qualifications:
Required Skills : Machine Learning
Basic Qualification :
Additional Skills : ML Developer
Background Check : No
Drug Screen : No
Description: We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Responsibilities:
- Algorithm Development - Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
- Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and optimization challenges
- AI Agents for Pricing - Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
- Rapid ML Prototyping - Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
- Feature Engineering - Engineer large-scale consumer behavioural feature stores to support ML models ensuring scalability and performance
- CrossFunctional Collaboration - Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
- Controlled Experiments - Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models
Qualifications:
- 8 years in machine learning
- 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
- Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
- Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
- Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
- Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
- Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
- 5+ Yrs Expereince in Pricing Reinforcement Learning
- 8+ Yrs Experience in Machine Learning
- Expert in Python & Tabular Data
- SQL
- Knowledge of AB Testing
Required Skills : Machine Learning
Basic Qualification :
Additional Skills : ML Developer
Background Check : No
Drug Screen : No
About TriOptus
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Clarksburg, MD, US
Year founded
2019