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Associate Machine Learning Government Jobs in Massachusetts

Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ... government security clearance. Secret clearance is preferred. Connect With Draper for Future ...

Summary: The Machine Learning Engineer (SMTS) designs and implements machine learning (ML ... government security clearance. Secret clearance is preferred. Connect With Draper for Future ...

Lead Machine Learning Engineer

Cambridge, MA

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating ... our associates work and provide value to our customers. * Design, develop, test, deploy, and ...

Experience adapting novel machine learning approaches (e.g., from academic literature) to new data ... S government Even better: * Active US government security clearance * Experience applying deep ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are popular job titles related to Associate Machine Learning Government jobs in Massachusetts? For Associate Machine Learning Government jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in Massachusetts look for? The top searched job categories for Associate Machine Learning Government jobs in Massachusetts are:
What cities in Massachusetts are hiring for Associate Machine Learning Government jobs? Cities in Massachusetts with the most Associate Machine Learning Government job openings:
Staff Machine Learning Researcher (Boston)

Staff Machine Learning Researcher (Boston)

iO Associates - US

Boston, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

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iO Associates are delighted to be partnered with this cutting-edge venture-backed Biotech at the forefront of combining AI and biology. They are seeking a skilled individual to join their team as a Staff Machine Learning Researcher. Located in Boston, our client is revolutionizing health technology with their innovative platform, aimed at engineering therapies for various diseases like diabetes, neurodegenerative diseases, and muscular dystrophies.


As a Staff Machine Learning Researcher, you will be pivotal in developing foundational models for single-cell RNA sequencing data. Collaborating with a team of experienced machine learning researchers and computational biologists, you will design advanced AI solutions to drive their therapy platform forward.

If you are a passionate machine learning expert eager to explore biological discoveries through AI models, this role is perfect for you.

Responsibilities:

  • Design, train, and optimize foundational models for single-cell RNA sequencing and other high-dimensional omics data
  • Collaborate with computational biologists to ensure models generate biologically meaningful outputs
  • Design and implement innovative deep learning architectures tailored to biological data
  • Build scalable pipelines for training and inference across vast biological data sets
  • Provide mentoring and technical guidance to fellow machine learning researchers
  • 6+ years of machine learning experience, preferably in biological applications
  • Master's degree or higher in Computer Science, Artificial Intelligence, or related field
  • Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
  • Track record of building and optimizing large-scale models, including transformer-based architectures
  • Passion for AI-driven biology and health care transformation
  • PhD with a strong publication track record in machine learning or computational biology journals
  • Background in biological research and modeling, particularly in single-cell RNA sequencing
  • Familiarity with reinforcement learning, diffusion models, or multi-modal architectures applied to high-dimensional data
  • Experience in fast-paced environments or start up settings

Applicant must be based or commutable to Boston.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionScience

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