1

Temporary Machine Learning Scientist Jobs in Irvine, CA

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. * 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. * 3+ years of experience in Machine Learning Engineering, MLOps, Software Engineering, or related ...

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

New

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. * 2+ years of hands-on industry experience developing and deploying machine learning ...

Required : • Bachelor's or Master's degree in Computer Science, Machine Learning, Robotics, or a related technical field. • 2+ years of hands-on industry experience developing and deploying ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... A degree in Computer Science or a related field. Preferred Skills and Experience: * Experience ...

next page

Showing results 1-20

Temporary Machine Learning Scientist information

What is a temporary machine learning scientist?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do temporary machine learning scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a temporary machine learning scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.

What is the difference between Temporary Machine Learning Scientist vs Data Scientist?

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are the most commonly searched types of Machine Learning Scientist jobs in Irvine, CA?

The most popular types of Machine Learning Scientist jobs in Irvine, CA are:

What are popular job titles related to Temporary Machine Learning Scientist jobs in Irvine, CA?

For Temporary Machine Learning Scientist jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Scientist jobs in Irvine, CA look for?

The top searched job categories for Temporary Machine Learning Scientist jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Temporary Machine Learning Scientist jobs?

Cities near Irvine, CA with the most Temporary Machine Learning Scientist job openings:

Infographic showing various Temporary Machine Learning Scientist job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Scientist

Steg.AI

Irvine, CA • On-site

$140 - $200/hr

Other

Posted 15 days ago


Job description

# Machine Learning ScientistIrvine, CA**Full Time — In Office — Irvine, CA**## About Steg.AISteg.AI's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for watermarking, steganography, or media provenance.## Job DescriptionYou will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.## Scope of Responsibility* Collaborate with the machine learning team to develop and implement novel steganography algorithms with deep learning* Collaborate with the engineering team to deploy models to customers* Benchmark new models versus older models* Disseminate findings to the team via written reports and oral presentations## Required Qualifications* Expert with PyTorch and training and testing deep learning models* Familiarity with dataset collection/curation for training deep networks* Strong collaboration, communication, and organizational skills## Bonus Qualifications* Familiarity with steganography and watermarking technologies* Familiarity with image/video compression algorithms* Computer Vision/Machine Learning publications in CVPR/ICCV/NeurIPS/etc.* Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr