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Temporary Machine Learning Scientist Jobs (NOW HIRING)

Steg.AI

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 ...

Tomorrow.io

Machine Learning Scientist

Golden, CO · On-site

We are seeking a Machine Learning Scientist with experience in AI weather prediction to help advance Tomorrow.io's next-generation forecasting capabilities. In this role, you will combine atmospheric ...

Socket.dev

Machine Learning Scientist

Golden, CO · On-site

$145 - $160/hr

We are seeking a Machine Learning Scientist with experience in AI weather prediction to help advance Tomorrow.io's next-generation forecasting capabilities. In this role, you will combine atmospheric ...

Tomorrow.io

Machine Learning Scientist

Golden, CO · Remote

We are seeking a Machine Learning Scientist with experience in AI weather prediction to help advance Tomorrow.io's next-generation forecasting capabilities. In this role, you will combine atmospheric ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in ...

Cellarity

Machine Learning Scientist

Somerville, MA · On-site

We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity's predictive drug discovery platform. As a ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly reinforcement ...

Spotter

Machine Learning Scientist

Culver City, CA · On-site

For more information about Spotter, please visit Overview We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

MyOme

Machine Learning Scientist

San Francisco, CA

Description MyOme is looking for a world-class machine learning scientist to join us on our mission to help people maximize the value of their genomic information. You will report to the head of ...

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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.

More about Temporary Machine Learning Scientist jobs

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The most popular types of Machine Learning Scientist jobs are:

What states have the most Temporary Machine Learning Scientist jobs?

States with the most job openings for Temporary Machine Learning Scientist jobs include:

What job categories do people searching Temporary Machine Learning Scientist jobs look for?

The top searched job categories for Temporary Machine Learning Scientist jobs are:

Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% 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

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