Which cities near Ontario, CA have the most machine learning job openings?

The cities near Ontario, CA that boast the highest number of machine learning jobs are: Orange Fullerton Pomona Anaheim West Covina El Monte

Which cities near Ontario, CA have the most job openings?

The 10 cities near Ontario, CA that have the most job openings are: Orange Fullerton Pomona Corona Rancho Cucamonga Fontana Moreno Valley San Bernardino Riverside Anaheim

What are the most popular job searches in Ontario, CA?

The 10 most popular job searches in Ontario, CA are: amazon government work from home warehouse amazon warehouse airport construction data entry security data entry clerk

What are the highest-paying jobs in Ontario, CA?

The highest-paying jobs are: rail ( from $ 87,250 to $ 275,625 year ) cardiologist ( from $ 200,000 to $ 270,000 year ) chief financial officer ( from $ 140,000 to $ 251,875 year ) mortgage underwriter ( from $ 101,250 to $ 250,000 year ) psychiatrist ( from $ 200,000 to $ 250,000 year ) cfo ( from $ 125,000 to $ 235,000 year ) family physician ( from $ 100,000 to $ 230,000 year ) business development director ( from $ 141,250 to $ 229,200 year ) president ( from $ 60,250 to $ 225,375 year ) dentist ( from $ 25,000 to $ 225,000 year )

Which cities in the United States of America offer the highest salaries for machine learning jobs?

The top 10 cities are: Grand Rapids, MI ( from $ 177,531 to $ 240,706 year ) Lansing, MI ( from $ 109,700 to $ 240,100 year ) Simi Valley, CA ( from $ 136,688 to $ 235,450 year ) Spokane Valley, WA ( from $ 135,458 to $ 234,943 year ) Charleston, SC ( from $ 112,230 to $ 233,350 year ) Chula Vista, CA ( from $ 174,990 to $ 229,500 year ) Fairfield, CA ( from $ 151,875 to $ 227,500 year ) Sunnyvale, CA ( from $ 150,000 to $ 225,000 year ) Hampton, VA ( from $ 107,500 to $ 225,000 year ) Wichita Falls, TX ( from $ 145,250 to $ 223,751 year )

Machine learning Jobs in Ontario, CA

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Machine learning • ontario ca

Last updated: 5 days ago

Remote Machine Learning Engineer Expert - AI Trainer ($90-$90 per hour)

MercorChino Hills, California, US

$90.00 hourly

Remote

Full-time

Role Overview** We’re hiring experienced Machine Learning Engineers and Applied ML Researchers to design, solve, and evaluate complex machine learning challenges that reflect real-world ML workflow... Show more

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorEastvale, California, US

$70.00 hourly

Remote

Part-time

About Mercor’s talent network** Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contrac... Show more

Vending Machine Associate

POP MART AmericasOntario, CA, United States

Full-time

POP MART, founded in 2010, is a market-leading entertainment company and a global champion of designer toy culture.Through global artist development, IP operations, designer toy culture evangelism,... Show more

Remote Machine Learning Engineer Expert - AI Trainer ($90-$90 per hour)

MercorRancho Cucamonga, California, US

MercorEastvale, California, US

$90.00 hourly

Remote

Full-time

Machine Operator - Converting

Mactac North AmericaOntario, CA, USA

$22.00 hourly

Full-time

Quick Apply

Operates machines in the Converting and Finishing Department to rewind and slit materials into rolls of specified widths and lengths depending on customer requirements.Essential Duties and Responsi... Show more

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorChino Hills, California, US

$70.00 hourly

Remote

Part-time

Remote Machine Learning Engineer Talent Network - AI Trainer ($70-$250 per hour)

MercorRancho Cucamonga, California, US

$70.00 hourly

Remote

Part-time

Remote Machine Learning Engineer Expert - AI Trainer ($90-$90 per hour)

MercorChino Hills, California, US

5 days ago

Salary

$90.00 hourly

Job type

Full-time

Remote

Job description

# **1\. Role Overview** We’re hiring experienced Machine Learning Engineers and Applied ML Researchers to design, solve, and evaluate complex machine learning challenges that reflect real-world ML workflows. This role requires strong hands-on modeling expertise, the ability to develop high-quality reference solutions, and deep familiarity with modern machine learning techniques across a variety of domains and data modalities. # **2\. What You’ll Do** - Develop end-to-end machine le.arning solutions for challenging prediction and modeling problems - Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics - Perform exploratory data analysis, feature engineering, and data preprocessing - Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets - Develop strong reference solutions using industry-standard machine learning techniques and best practices - Review and validate the technical quality of machine learning projects and deliverables - Document methodologies, assumptions, and evaluation results in a clear and reproducible manner - Identify opportunities to improve model performance through systematic experimentation and iteration # **3\. Required Qualifications** - Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university - 2+ years of hands-on experience developing, training, evaluating, and optimizing machine learning models in a professional or research setting. - Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow) - Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation - Strong understanding of model evaluation metrics, validation methodologies, and experimental design - Experience with one or more of the following areas: - Tabular machine learning - Natural language processing - Computer vision - Recommendation systems - Ranking systems - Time-series forecasting - Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs # **4\. Preferred Qualifications** - PhD from a leading research university - Experience at leading technology companies, AI labs, research institutions, or high-growth startups - Participation in competitive machine learning or data science competitions - Experience optimizing models against performance-based evaluation metrics - Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning - Publications, patents, or significant open-source contributions in machine learning or AI - Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners