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Entry Level Machine Learning Jobs in Newton, MA (NOW HIRING)

MORSE Corp

Technical Recruiter

Cambridge, MA · On-site

These domains include software engineering, data science, machine learning/AI, human factors, and ... Demonstrated capability to source top technical talent spanning the range from entry-level to ...

MORSE Corp

Technical Recruiter

Cambridge, MA · On-site

$70K - $120K/yr

These domains include software engineering, data science, machine learning/AI, human factors, and ... Demonstrated capability to source top technical talent spanning the range from entry-level to ...

Waters Corporation

Turning CNC Utility Operator

Milford, MA · On-site

$22.50 - $30.75/hr

Overview Waters Corporation is currently looking to hire a CNC Machinist to join our organization ... Micrometer and drop dial indicators as well as learning profilometer and CMM operations. * Interact ...

Hertz

Tire and Lube Technician

East Boston, MA

$19.50/hr

High School Diploma or equivalent preferred Professional Experience: * Entry level position with no ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Newton, MA

Entry Level Machine Learning information

See Newton, MA salary details

$13

$19

$23

How much do entry level machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level machine learning in Newton, MA is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.82 per hour, depending on experience, location, and employer.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Newton, MA? The most popular types of Machine Learning jobs in Newton, MA are:
What are popular job titles related to Entry Level Machine Learning jobs in Newton, MA? For Entry Level Machine Learning jobs in Newton, MA, the most frequently searched job titles are:
What cities near Newton, MA are hiring for Entry Level Machine Learning jobs? Cities near Newton, MA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Newton, MA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,848 per year, or $19.2 per hour.

Technical Recruiter

MORSE Corp

Cambridge, MA • On-site

Full-time

Re-posted 26 days ago

Job description

MORSE Corp is seeking a Technical Recruiter to join our Talent Acquisition team in all aspects of recruiting for our growing and highly talented workforce. You will source candidates, screen, and facilitate the recruiting process for high-caliber engineering reqs in a broad set of technical domains. These domains include software engineering, data science, machine learning/AI, human factors, and aerospace. Additionally, you will help develop and optimize MORSE's recruiting strategy, to include skill-need discovery, sourcing methods, employer branding, university/student engagement, and screening techniques.

 RESPONSIBILITIES

  • Partner with hiring managers across our teams and programs to identify talent needs and suitable candidates for software, data science, and engineering roles 

  • Utilize outbound sourcing strategies to find talented candidates from entry to executive level

  • Own the full cycle recruiting process from initial contract (sourcing or application) to onboarding

  • Find creative ways to establish the MORSE employer brand and attract talent 

  • Integrate the MORSE values into all aspects of the recruiting process
 REQUIREMENTS

  • US CITIZENSHIP REQUIRED 

  • 1+ years of experience in technical recruiting, either corporate or agency

  • Hands-on experience using recruiting and sourcing tools such as job boards, social media, applicant tracking systems (Greenhouse) search engines, and other active methods of reaching active and passive candidates

  • Demonstrated capability to source top technical talent spanning the range from entry-level to executive

  • Ability to screen candidates and assess technical and corporate fit

  • Outstanding organizational, time management, and process management skills and exceptional attention to detail

  • Proven interpersonal skills and experience building strong relationships with candidates

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