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Machine Learning Part Time Jobs in Cambridge, MA

DISHWASHER

Auburndale, MA · On-site

$21.68/hr

Schedule: Full time and part time; Days and hours may vary. More details upon interview ... Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ...

Stocking Team Associate

Quincy, MA · On-site

$16 - $29/hr

Employment Type: Part-Time Available shifts: Mid-Shift, Closing, Overnight Location Wal-Mart #2341 ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Saugus, MA · On-site

$16.50 - $29.50/hr

Employment Type: Part-Time Available shifts: Opening, Morning, Overnight Location Walmart ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Quincy, MA · On-site

$16 - $29/hr

Employment Type: Part-Time Available shifts: Mid-Shift, Closing, Overnight Location Wal-Mart #2341 ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Saugus, MA · On-site

$16.50 - $29.50/hr

Employment Type: Part-Time Available shifts: Overnight Location Walmart Supercenter #3114 770 ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Part-Time Available shifts: Opening, Morning, Mid-Shift, Closing, Overnight ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Employment Type: Part-Time Available shifts: Opening, Morning, Mid-Shift, Closing Location Walmart ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Salem, MA · On-site

$16.50 - $29.50/hr

Employment Type: Part-Time Available shifts: Overnight Location Wal-Mart #2640 450 HIGHLAND AVE, ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Stocking Team Associate

Halifax, MA · On-site

$16 - $29/hr

Employment Type: Part-Time Available shifts: Overnight Location Walmart Supercenter #2128 295 ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

... part-time basis. In this role, you will play a vital part in evaluating and interpreting and ... We know we are only as good as our teams, so we are committed to continuous learning and growth ...

Receptionist

Boston, MA · On-site

$22.84 - $24.04/hr

Manual dexterity required for operating office machinery (phone, copy machines, binding equipment ... Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be ...

Receptionist

Boston, MA · On-site

$22.84 - $24.04/hr

Manual dexterity required for operating office machinery (phone, copy machines, binding equipment ... Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be ...

Respiratory Therapist

Everett, MA · On-site

$37.01 - $61.61/hr

Respiratory Care EH Job Type: Part Time Union Name: Local 25 Respiratory Therapist Length Of Shift ... We are looking for a professional who is committed to continuous learning and is an effective ...

Dishwasher

Boston, MA · On-site

$18/hr

Night Shift Lovejoy Dishwasher Status : Part Time Reports to : Kitchen Manager Salary: $18/hour ... Operate dish machines safely and report any issues. Kitchen & Taproom Support * Restock clean ...

Showing results 21-40

Machine Learning Part Time information

See Cambridge, MA salary details

$27.9K

$46.5K

$96.2K

How much do machine learning part time jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning part time in Cambridge, MA is $46,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Cambridge, MA? The most popular types of Machine Learning jobs in Cambridge, MA are:
What are popular job titles related to Machine Learning Part Time jobs in Cambridge, MA? For Machine Learning Part Time jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Cambridge, MA look for? The top searched job categories for Machine Learning Part Time jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Machine Learning Part Time jobs? Cities near Cambridge, MA with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Cambridge, MA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $46,543 per year, or $22.4 per hour.

Senior Software Engineer - Deep Neurophenotyping

Mass General Brigham

Boston, MA • On-site

$93K - $136K/yr

Part-time

This job post has expired 2 days ago. Applications are no longer accepted.


Brigham and Women's Hospital rating

8.1

Company rating: 8.1 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

117th of 1,055 rated hospitals


Job description

Site: The General Hospital Corporation
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
Job Summary
*This is a part-time, 20 hour position.*
Software engineer to lead software development of the "Neurobooth" project, which is an effort to perform large scale digital phenotyping inside the Mass General neurology clinic. With funding from industry, government, and academic institutions, we have created a booth that is equipped with an array of devices, including consumer and industrial grade cameras, eye trackers, microphones, wearable sensors, and other sensors for physiological measurement. Patients perform motor and cognitive tasks inside the booth while collecting synchronized data from the devices. Sensor data are integrated with clinical data, organized in a database, and routed to a computing cluster for analysis. Data visualizations and summaries are generated in real-time to enable sharing of information with clinicians and patients in the clinic. This long-term project will generate the first dataset of its kind to support training of machine learning models and creation of tools to detect early signs of disease, precisely measure disease for clinical trials, and understand molecular and systems-level underpinnings of behavior in neurological diseases.
The role requires an experienced and versatile software engineer, with hardware-integration experience, to ensure that the custom-built, Python-based platform controlling every aspect of Neurobooth is highly robust in a live clinical setting. The system is real-time and distributed, coordinating data acquisition, stimulus presentation, and synchronized recording across multiple networked machines and a wide array of hardware devices, so that reliability, precise timing, and disciplined engineering are essential. The engineer will apply software development best practices and maintain Neurobooth as an open-source project that any team in the world can use and build upon.
Responsible for design, development, implementation, and support of advanced technical solutions, including platform systems that require critical aspects of infrastructure, network, application, database, and security frameworks.
Essential Functions
-Lead the design, deployment, and optimization of enterprise platforms and services.
-Define and implement advanced automation and orchestration solutions.
-Design and manage complex platforms in hybrid and multi-cloud environments.
-Perform advanced troubleshooting and root cause analysis for critical platform issues.
-Design and implement system monitoring and observability solutions.
-Lead platform performance tuning and capacity planning efforts.
-Develop technical standards, operational procedures, and leading practices.
-Mentor junior engineers and provide technical guidance to project teams.
Qualifications
Education
Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Experience as a systems engineer or related position 5-7 years required
Knowledge, Skills and Abilities
- Deep expertise in enterprise platform design, implementation, and optimization
- Advanced automation and orchestration capabilities using tools like Ansible, Terraform, or similar
- Proficient knowledge of cloud-native architectures and services.
- Ability to conduct root cause analysis and performance tuning at the system and application levels
- Proficient in designing and implementing high-availability and disaster recovery solutions
- Familiarity with observability frameworks and modern monitoring/alerting platforms
- Proven experience in developing system architecture documentation and operational runbooks
- Ability to mentor junior engineers and lead cross-functional technical initiatives
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
101 Merrimac Street
Scheduled Weekly Hours
20
Employee Type
Regular
Work Shift
Day (United States of America)
Pay Range
$93,953.60 - $136,739.20/Annual
Grade
7
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.
EEO Statement:
1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework
At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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