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Temporary Machine Learning Scientist Jobs in Boston, MA

Machine Learning Engineer - Health AIML

Cambridge, MA · On-site

$194.70 - $354.70/hr

  • Medical

  • Dental

  • Retirement

We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that ...

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems * Experience with standard data science tools such as scikit-learn, Pandas, and ...

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data sets and problems * Experience with standard data science tools such as scikit-learn, Pandas, and ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

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 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 are the most commonly searched types of Machine Learning Scientist jobs in Boston, MA?

The most popular types of Machine Learning Scientist jobs in Boston, MA are:

What are popular job titles related to Temporary Machine Learning Scientist jobs in Boston, MA?

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

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

The top searched job categories for Temporary Machine Learning Scientist jobs in Boston, MA are:

Infographic showing various Temporary Machine Learning Scientist job openings in Boston, MA as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

Senior Research Scientist, Machine Learning

3M HEALTHCARE

Boston, MA • On-site

$170.45 - $216/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Job Title: Senior Research Scientist, Machine Learning

Location: Boston, Massachusetts

Job Type: Full Time

Salary: $170,445 - $216,000 per year

Partial telecommute benefit (up to 2 days/week work from home).

Responsibilities

Design, implement, and optimize novel Machine Learning ("ML") algorithms specialized for applications such as energy, healthcare, and robotics. Develop software simulations and analyze the performance of algorithms across various simulated and real-world datasets and hardware-constrained environments. Help with prototyping systems, algorithms, and methods to prove and validate their performance and practicality. Work with other researchers and engineers, inside and outside the Algorithmic Solutions Group, to connect our work with our mission statement. Stay abreast of state-of-the-art algorithms and research advances beyond the state of the art in areas relevant to Analog Devices.

Requirements
  • Must have a Master’s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
  • Demonstrated Expertise in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax.
  • DE developing and applying neural networks, deep learning, transformers, and Large Language ML models.
  • DE with algorithm prototyping, simulation, and high-quality software engineering using Python and C/C++.
Benefits
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401(k), paid vacation, holidays, and sick time, and other benefits.
EEO Statement

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

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