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Temporary Machine Learning Scientist Jobs (NOW HIRING)

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to ...

Gather AI

Principal Machine Learning Scientist

About the Team This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and ...

Amgen, Inc.

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site +1

$96K - $131K/yr

Machine Learning Scientist What you will do Let's do this. Let's change the world. Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad ...

Amgen

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site

$96K - $131K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Amgen

$85K - $116K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences) Hours: Full-Time, Salaried Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote ...

Amgen

$78K - $107K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Axon

Senior Machine Learning Scientist

Boston, MA · On-site

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

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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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Temporary Machine Learning Scientist jobs near you
Infographic showing various Temporary Machine Learning Scientist job openings in the United States as of June 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, Marketing

Machine Learning Scientist, Marketing

The New York Times

New York, NY • On-site

Other

Posted 10 hours ago

Job description

About the Role, Mission or Department Overview

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company.

The Algorithmic Targeting team (ALTA) is expanding its focus to promote subscriber growth through prescriptive machine learning (ML) on paid and owned media surfaces. We use methodologies like causal ML, inverse gap weighting and hierarchical bayesian modeling and deploy them at scale.

We are looking for a Machine Learning Scientist to join ALTA and contribute to all steps of the ML development and deployment cycle. You will lead the development of models that improve our marketing spend across external platforms and owned channels. You will report to our Director of Machine Learning.

Responsibilities:

  • You will reframe business goals as ML tasks for delivering relevant insights, accurate predictions, and optimization
  • You will implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs
  • You will communicate complex ideas in machine learning while collaborating with colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups
  • You will deploy models behind production APIs or batch processes, collaborate with engineering teams, and integrate into processes throughout The Times
  • You will learn new technologies and ML methods, and adapt them into our workows
  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline
  • 2+ years experience with open source machine learning or statistical analysis tools
  • 2+ years coding experience in Python
  • 1+ year experience in SQL and manipulating large structured or unstructured datasets for analysis
  • 1+ year experience collaborating with multiple developers on a shared codebase

Preferred Qualifications:

  • 1+ years of experience building statistical and causal inference models
  • Familiarity with digital marketing concepts like Cost Per Order (CPO), Lifetime Value (LTV), and the marketing funnel
  • Familiarity with experimental design and randomized control trials
  • Familiarity with prescriptive machine learning
  • Familiarity with modern methods for Marketing Mix Modeling (MMMs)

REQ-019981

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