Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent) * Builds the feature engineering pipeline -- temporal, topological, semantic scoring * Trains and validates ...
New
Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent) * Builds the feature engineering pipeline -- temporal, topological, semantic scoring * Trains and validates ...
New
AI Engineer
Phoenix, AZ · On-site
... XGBoost and PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and ...
Quick apply
AI Engineer
Phoenix, AZ · On-site
... XGBoost and PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and ...
Overseas Contractor
Tampa, FL · On-site
... XGBoost and neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business ...
Overseas Contractor
Tampa, FL · On-site
... XGBoost and neural networks Apply unsupervised machine learning techniques such as PCA kmeans and SVMs to analyse and interpret data Collaborate with crossfunctional teams to understand business ...
Experience with ML frameworks (scikit-learn, XGBoost, or similar) * BI tools: Tableau, Looker, or Power BI * Hands-on experience with CRM systems (Salesforce, HubSpot)
Experience with ML frameworks (scikit-learn, XGBoost, or similar) * BI tools: Tableau, Looker, or Power BI * Hands-on experience with CRM systems (Salesforce, HubSpot)
AI/ML Engineer
Jersey City, NJ · On-site
Overview: Required Skills Python, NumPy, Pandas PyTorch, TensorFlow, XGBoost Experience with LLMs (OpenAI, Hugging Face) REST APIs, Flask/FastAPI AWS MLOps (model deployment, monitoring, CI/CD ...
AI/ML Engineer
Jersey City, NJ · On-site
Overview: Required Skills Python, NumPy, Pandas PyTorch, TensorFlow, XGBoost Experience with LLMs (OpenAI, Hugging Face) REST APIs, Flask/FastAPI AWS MLOps (model deployment, monitoring, CI/CD ...
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Experience with cloud platforms and containerization (Docker, Kubernetes)
NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini ...
NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini ...
Engineering Manager II
Seattle, WA · On-site +1
Uber's Machine Learning Platform]( [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ML ...
Engineering Manager II
Seattle, WA · On-site +1
Uber's Machine Learning Platform]( [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ML ...
Engineering Manager II
Sunnyvale, CA · On-site +1
Uber's Machine Learning Platform]( [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ML ...
Engineering Manager II
Sunnyvale, CA · On-site +1
Uber's Machine Learning Platform]( [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ML ...
Research Intern - GHAI-3
Santa Clara, CA · On-site
Develop and benchmark gradient-boosted (XGBoost, LightGBM) and regularized linear (Ridge, Lasso) forecasting models for ETA. * Use TimeSeriesSplit cross-validation and Bayesian hyperparameter tuning ...
Research Intern - GHAI-3
Santa Clara, CA · On-site
Develop and benchmark gradient-boosted (XGBoost, LightGBM) and regularized linear (Ridge, Lasso) forecasting models for ETA. * Use TimeSeriesSplit cross-validation and Bayesian hyperparameter tuning ...
Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc). * Experience in Forecasting will be added advantage" * Solid understanding of statistics ...
Quick apply
Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc). * Experience in Forecasting will be added advantage" * Solid understanding of statistics ...
Engineering Manager II
Seattle, WA · On-site
Uber's Machine Learning Platform]( 2. [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( 3. [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ...
Engineering Manager II
Seattle, WA · On-site
Uber's Machine Learning Platform]( 2. [Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber]( 3. [Michelangelo PyML: Introducing Uber's Platform for Rapid Python ...
Lead Risk Manager, Payment Fraud
New York, NY · Hybrid
$150K - $180K/yr
Sklearn, XGBoost, LightGBM. • Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). • Based in or willing to relocate to the Greater ...
Quick apply
Lead Risk Manager, Payment Fraud
New York, NY · Hybrid
$150K - $180K/yr
Sklearn, XGBoost, LightGBM. • Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). • Based in or willing to relocate to the Greater ...
Artificial Intelligence Engineer
Bellevue, WA · On-site
$129.20K - $155.20K/yr
Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...
Quick apply
Artificial Intelligence Engineer
Bellevue, WA · On-site
$129.20K - $155.20K/yr
Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch. * Strong knowledge of statistics experimental design and causal inference. * Handson experience with data visualization tools ...
Lead Risk Manager, Payment Fraud
Boston, MA · Hybrid
$150K - $180K/yr
Sklearn, XGBoost, LightGBM. • Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). • Based in or willing to relocate to the Greater ...
Quick apply
Lead Risk Manager, Payment Fraud
Boston, MA · Hybrid
$150K - $180K/yr
Sklearn, XGBoost, LightGBM. • Mandarin Chinese fluency (the company operates a bilingual EN/CN working environment; this is a hard requirement). • Based in or willing to relocate to the Greater ...
AI/ML Data Scientist
New York, NY · On-site
Train supervised and unsupervised models using Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model evaluation using stratified validation * Implement ...
Quick apply
AI/ML Data Scientist
New York, NY · On-site
Train supervised and unsupervised models using Python ( XGBoost, LightGBM, sklearn, PyTorch ) * Conduct data profiling, feature engineering, model evaluation using stratified validation * Implement ...
AI Engineer
Sunrise, FL · On-site
$100K - $130K/yr
NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini ...
AI Engineer
Sunrise, FL · On-site
$100K - $130K/yr
NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, MLflow, Matplotlib • Generative & Agentic AI: LangChain, LangGraph, LlamaIndex, FAISS / Pinecone,OpenAI / Anthropic / Gemini ...
... XGBoost/LightGBM), SHAP-based explainability, and performance benchmarking Review solution architectures for scalability, latency, and integration with enterprise data platforms Ensure AI systems ...
Quick apply
... XGBoost/LightGBM), SHAP-based explainability, and performance benchmarking Review solution architectures for scalability, latency, and integration with enterprise data platforms Ensure AI systems ...
... XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model design, hyperparameter tuning, and responsible deployment practices. • Demonstrated ...
New
... XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model design, hyperparameter tuning, and responsible deployment practices. • Demonstrated ...
New
DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. * LangChain & LangGraph : Hands-on experience building, deploying, and maintaining ...
DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decision Tree, KNN, SVM, etc. * LangChain & LangGraph : Hands-on experience building, deploying, and maintaining ...
Xgboost information
See salary details
$11.30 - $16.85
1% of jobs
$16.85 - $22.40
12% of jobs
$26.02 is the 25th percentile. Wages below this are outliers.
$22.40 - $27.95
19% of jobs
$27.95 - $33.50
17% of jobs
The median wage is $33.79 / hr.
$33.50 - $39.05
31% of jobs
$39.05 - $44.60
7% of jobs
$44.60 - $50.15
6% of jobs
$50.15 - $55.70
1% of jobs
$55.70 - $61.25
4% of jobs
$61.25 - $66.81
2% of jobs
$66.81 - $72.36
0% of jobs
$11
$36
$72
How much do xgboost jobs pay per hour?
As of May 29, 2026, the average hourly pay for xgboost in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in XGBoost, and why are they important?
To thrive as a Machine Learning Engineer specializing in XGBoost, you need a strong background in statistics, data analysis, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency with XGBoost, data preprocessing libraries (like pandas and NumPy), and experience with machine learning platforms such as scikit-learn or TensorFlow are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills ensure accurate model development, efficient implementation, and impactful business outcomes from machine learning projects.
What types of projects or datasets do professionals commonly work with when using XGBoost in a machine learning role?
Professionals using XGBoost often tackle projects involving structured data, such as customer analytics, credit scoring, fraud detection, and sales forecasting. XGBoost is particularly valued for its speed and accuracy with large tabular datasets, making it a popular choice in finance, healthcare, and e-commerce. On a daily basis, you may collaborate with data engineers to preprocess data, work with data scientists to tune hyperparameters, and communicate findings to business stakeholders. The role typically involves iterating on feature engineering, model evaluation, and integrating models into production pipelines.
What is XGBoost?
XGBoost stands for eXtreme Gradient Boosting and is an open-source machine learning library that provides an efficient and scalable implementation of gradient boosting algorithms. It is commonly used for supervised learning tasks, such as classification and regression, due to its high performance, speed, and ability to handle missing values. XGBoost supports parallel processing, regularization to prevent overfitting, and can be used with various programming languages like Python, R, and Julia. Its popularity stems from its success in many machine learning competitions and real-world applications.
What is the difference between Xgboost vs Data Scientist?
| Aspect | Xgboost | Data Scientist |
|---|---|---|
| Primary Role | Developing and tuning machine learning models, especially gradient boosting algorithms | Analyzing data, building models, and deriving insights across various techniques |
| Required Skills | Programming (Python, R), machine learning, data preprocessing | Statistics, programming, data visualization, machine learning |
| Work Environment | Data science teams, machine learning projects, software development | Research, data analysis, cross-functional collaboration |
While Xgboost is a specific machine learning algorithm used within data science projects, a Data Scientist encompasses a broader role involving data analysis, modeling, and insights. Xgboost is a tool often employed by Data Scientists to improve predictive performance, but the Data Scientist's responsibilities extend beyond just implementing algorithms.
More about Xgboost jobs
What job categories do people searching Xgboost jobs look for? The top searched job categories for Xgboost jobs are:
Other
Posted 2 days ago
Job description
Title: Ai/
Location: Jersey City, NJ Onsite (Must be local only)
Duration: 12+ Months
Location: Jersey City, NJ Onsite (Must be local only)
Duration: 12+ Months
Visa workable — ,-EAD, TN, OPT,H1B only
Job Description:
Job Description:
Min 10+ Years exp
he person who builds and owns the intelligence layer.
- Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent)
- Builds the feature engineering pipeline — temporal, topological, semantic scoring
- Trains and validates XGBoost on Banking''s Client historical incident data
- Implements SHAP explainability for every classification decision
- Builds and maintains the monthly retraining pipeline (Lambda + MLflow)
- Implements drift detection using Evidently
- Owns model risk documentation for SR 11-7 compliance
Must have: Python, XGBoost/scikit-learn, MLflow, feature engineering, SHAP, Kafka/stream processing, SQL. Financial services ML experience strongly preferred