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Temporary Machine Learning Scientist Jobs (NOW HIRING)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

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 ...

New

Spotter

Machine Learning Scientist

Culver City, CA · Remote

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 in areas such as ...

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 ...

Suno

Machine Learning Scientist

Boston, MA · On-site

... machine learning models, requiring a strong background in data engineering and model training ... scientist ratio of >100x. Qualifications : Required : • 5+ years experience training ...

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 ...

Nucs AI

Machine Learning Scientist

Berlin, MA · On-site +1

The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to ...

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 ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199K - $283K/yr

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge ...

Relace

Machine Learning Scientist

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge ...

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All JobsMachine Learning Scientist JobsTemporary Machine Learning Scientist Jobs

Temporary Machine Learning Scientist information

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 Temporary Machine Learning Scientists?

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.
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What cities are hiring for Temporary Machine Learning Scientist jobs? Cities with the most Temporary Machine Learning Scientist job openings:
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Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.
Machine Learning Scientist / Senior Machine Learning Scientist

Machine Learning Scientist / Senior Machine Learning Scientist

Calico Life Sciences

South San Francisco, CA • On-site

$109K - $150K/yr

Full-time

Posted 23 days ago

Job description

Job Summary:
Calico Life Sciences is an innovative research and development company focused on understanding human aging through advanced technologies. They are seeking a Machine Learning Scientist to develop deep learning models for biological sequence analysis, particularly in gene regulation and genomics.
Responsibilities:
• Design and train deep learning models for biological sequence analysis, with emphasis on gene regulation, single-cell genomics, and variant interpretation
• Partner with experimental scientists to connect model predictions to biological mechanisms — designing validation experiments, analyzing large-scale genomics data, and translating computational findings into actionable biological insights
• Communicate research through publications, open-source software, and public-facing tools
Qualifications:
Required:
• PhD in computational biology, bioinformatics, computer science, or a related field, and 0-5 years (for Scientist level) or 5+ years (for Senior Scientist level) of additional training in an industry or academic setting, with a strong publication record
• Deep expertise in machine learning with solid grounding in algorithms, data structures, and statistics
• Substantive knowledge of molecular biology and genetics; familiarity with genomic data types and public data resources
• Hands-on experience analyzing genomics sequencing data, ideally including single-cell assays
• Fluency with modern AI-assisted development and research tools (e.g., LLM-based coding assistants, literature synthesis), with a habit of proactively integrating new tools to accelerate scientific workflows
• A collaborative disposition, strong follow-through, and comfort working at the interface of computation and experiment
• Must be willing to work onsite at least four days per week
Company:
Calico is an Alphabet-founded research and development company whose mission is to harness advanced technologies. Founded in 2013, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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