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Machine Learning Trainee Jobs in Roxbury Crossing, MA

84 Lumber Company

Manager Trainee

Holbrook, MA · On-site

$47K - $51K/yr

Manager Trainees must complete the learning plan and course of study as outlined within the ... You may also work around machinery and airborne particles. Responsibilities * Payroll, Invoicing ...

84 Lumber Company

Manager Trainee

Holbrook, MA

$47K - $51K/yr

Manager Trainees must complete the learning plan and course of study as outlined within the ... You may also work around machinery and airborne particles. Responsibilities * Payroll, Invoicing ...

Mass General Brigham

Post Doctoral Fellow

Belmont, MA · On-site

$54K - $73K/yr

Knowledge and experience working with LLMs, Machine Learning, and Time Series Analyses is preferred ... Assistance in guiding research technicians and trainees in the lab is expected. WORKING CONDITIONS:

Massgeneralbrigham

Post Doctoral Fellow

Belmont, MA

$54K - $73K/yr

Knowledge and experience working with LLMs, Machine Learning, and Time Series Analyses is preferred ... Assistance in guiding research technicians and trainees in the lab is expected. WORKING CONDITIONS:

Massgeneralbrigham

Post Doctoral Fellow

Belmont, MA

$54K - $73K/yr

Knowledge and experience working with LLMs, Machine Learning, and Time Series Analyses is preferred ... Assistance in guiding research technicians and trainees in the lab is expected. WORKING CONDITIONS:

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All JobsMachine Learning JobsMachine Learning Trainee JobsMachine Learning Trainee Jobs in Roxbury Crossing, MA

Machine Learning Trainee information

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning trainee?

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

What is the difference between Machine Learning Trainee vs Data Scientist?

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

What are the most commonly searched types of Machine Learning jobs in Roxbury Crossing, MA?

The most popular types of Machine Learning jobs in Roxbury Crossing, MA are:

What cities near Roxbury Crossing, MA are hiring for Machine Learning Trainee jobs?

Cities near Roxbury Crossing, MA with the most Machine Learning Trainee job openings:

Machine Learning Trainee jobs near you
Infographic showing various Machine Learning Trainee job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Postdoctoral Research Fellow in Sleep, Circadian Rhythms, Wearables, and Aging

Washington State University - Spokane; Occupational Sleep Medicine Group

Boston, MA • On-site

$65 - $75/hr

Other

Posted yesterday

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Job description

Postdoctoral Research Fellow in Sleep, Circadian Rhythms, Wearables, and Aging

Harvard Medical School & Massachusetts General Hospital

We are seeking a highly motivated Postdoctoral Research Fellow to join our multidisciplinary research team at Harvard Medical School and Massachusetts General Hospital. The position focuses on advancing research at the intersection of sleep and circadian physiology, cognitive function, and computational analysis of neurophysiological signals.

Qualifications
  • PhD, MD, or MD/PhD in a relevant field
  • Background or strong interest in sleep, circadian physiology, cognition, or neurophysiology
  • Strong scientific writing skills and a record of peer-reviewed publications
Preferred Research Background and Skills
  • Experience in human sleep and circadian, clinical, or dementia research
  • Programming experience in Python, MATLAB, or similar languages
  • Expertise in signal processing and statistical analysis
  • Experience with machine learning or deep learning
  • Interest in NIH grant writing
Examples of Research Projects
  • Characterizing multidimensional physiological rhythms using wearable devices
  • Analyzing EEG, ECG/PPG, actigraphy, blood pressure, cognitive, and biomarker data
  • Developing signal-processing, statistical, and machine-learning methods for physiological data
  • Conducting laboratory and at-home studies of sleep and circadian rhythms
  • Using large cohorts (e.g., UK Biobank, All of Us) to study sleep, circadian rhythms, and brain health
Key Responsibilities
  • Lead participant recruitment, data collection, quality control, and analysis
  • Serve as project leader for controlled laboratory studies
  • Support participant-facing research activities
  • Work occasional nonstandard shifts, including nights, weekends, and holidays
  • Prepare protocols, IRB materials, manuscripts, and grant applications
  • Collaborate with clinicians, engineers, data scientists, and trainees
  • Present research findings at scientific meetings
  • Mentor junior team members, as appropriate
What We Offer
  • Access to state-of-the-art clinical and research facilities
  • Strong mentorship with a proven track record of successful postdoctoral training and career development
  • A collaborative, multidisciplinary research environment
  • Competitive salary and benefits package
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