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Temporary Machine Learning Scientist Jobs in Boston, MA

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 ...

Axon

Senior Machine Learning Scientist

Boston, MA

$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 ...

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.
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:
Temporary Machine Learning Scientist jobs near you
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.
Machine Learning Scientist

Machine Learning Scientist

Suno

Boston, MA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Suno is the fastest growing consumer entertainment company and the leader in AI music, seeking early members for their research team. The role involves ownership of technical decisions for building and deploying state-of-the-art machine learning models, requiring a strong background in data engineering and model training.
Responsibilities:
• You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art ML models trained with an H100/scientist ratio of >100x.
Qualifications:
Required:
• 5+ years experience training state of the art models with distributed pytorch
• Intimate familiarity of the entire stack of data engineering, designing, training and evaluating machine learning models
• Track record showing independent ownership of entire research projects from start to finish
• Extensive experience training large generative models from scratch (LLMs or diffusion models)
• Bachelor's degree or equivalent required.
Preferred:
• A love of music (listening, exploring, making) is a huge plus
Company:
Suno is a music technology company that provides an AI platform for creating original songs from text prompts and other creative inputs. Founded in 2022, the company is headquartered in Cambridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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