ZipRecruiter

Log In

1

Machine Learning Contract Jobs in Riverside, CA (NOW HIRING)

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Contract to Hire Project Overview: The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions ...

Maximus

AI/ML Software Developer

Pomona, CA · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

New

Staffingine LLC

AI/GenAI Engineer

Irvine, CA · On-site

Contract * Lead and conduct advanced research in AI and Generative AI to develop innovative solutions. * Design and implement machine learning deep learning natural language processing and computer ...

Perficientcorp Inc

Lead Gen AI Engineer

Irvine, CA · On-site

$55 - $60/hr

Design and implement machine learning deep learning natural language processing and computer vision ... Support proposal development and contribute to securing research funding or contracts. Skills ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Contract JobsMachine Learning Contract Jobs in Riverside, CA

Machine Learning Contract information

See Riverside, CA salary details

$14

$23

$32

How much do machine learning contract jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning contract in Riverside, CA is $23.81, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $26.59 per hour, depending on experience, location, and employer.

What is a Machine Learning Contract job?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in the Machine Learning Contract position, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a Machine Learning Contract position?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.
More about Machine Learning Contract jobs
What are the most commonly searched types of Machine Learning jobs in Riverside, CA? The most popular types of Machine Learning jobs in Riverside, CA are:
What are popular job titles related to Machine Learning Contract jobs in Riverside, CA? For Machine Learning Contract jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Riverside, CA look for? The top searched job categories for Machine Learning Contract jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Machine Learning Contract jobs? Cities near Riverside, CA with the most Machine Learning Contract job openings:
Machine Learning Contract jobs near you

Senior Data Scientist

Hireblazer

Irvine, CA • On-site

Full-time

Posted 6 days ago

Job description

Job Title: Sr. Data Scientist

Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote)

Contract Type: Contract to Hire

Project Overview:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Top Responsibilities:

Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

Propose innovative solutions using data mining, statistical analysis, and machine learning.

Support business needs related to analytics, predictive modeling, and business intelligence.

Collaborate effectively with internal clients to translate their needs into data science use cases.

Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

Required Qualifications:

Bachelor's Degree (Minimum Education Requirement).

Strong hands-on skills in Data Analytics and ML-Ops.

Ability to turn state-of-the-art research into production-level code.

Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

Ability to translate business needs and requirements into technical solutions.

Solid analytical and problem-solving skills.

Preferred Qualifications:

Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).