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Entry Level Machine Learning Jobs in Brookline, MA

SynergisticIT

AI & Machine Learning Engineer

Boston, MA · On-site

AI & Machine Learning Engineer SYNERGISTICIT wants every job seeker to be aware that the job market ... entry level position the additional skills and project work are the only way a candidate can be ...

Ranfac Corp.

Machine Operator I

Avon, MA · On-site

$17.25 - $20.75/hr

... learning. You have a voice and can be an engine for change. Joining Ranfac is joining a family ... This shift is not flexible. Entry level Machine Operator Position with the following skills:

SynergisticIT

Entry Level Software Engineer

Boston, MA · On-site

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ...

Pwc

AI & GenAI Data Scientist - Manager

Boston, MA · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site +1

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Frontrunner Bus

Technician - entry level

Billerica, MA · On-site

$22 - $25/hr

This role is ideal for someone with mechanical aptitude who enjoys working with tools, learning new ... Machines & technologies you'll use: * Variable Frequency Drives (VFD) * Programmable Logic ...

MORSE Corp

Technical Recruiter

Cambridge, MA

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

$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 ...

PathAI

IT Service Desk Specialist

Boston, MA

... machine learning. Our team, comprising diverse employees with a wide range of backgrounds and ... This is an entry-level role designed for someone who wants to grow their skills in a fast-paced ...

SynergisticIT

Junior Java Developer

Boston, MA · On-site

Excellent written and verbal communication skills Required skills for Data Science/Machine Learning ... entry-level position. The additional skills and project work with hands-on experience building ...

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All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Brookline, MA

Entry Level Machine Learning information

See Brookline, MA salary details

$13

$18

$23

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

As of Jun 23, 2026, the average hourly pay for entry level machine learning in Brookline, MA is $18.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $20.53 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.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
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Entry Level Machine Learning jobs near you
Entry Level Machine Learning Engineer

Entry Level Machine Learning Engineer

SynergisticIT

Boston, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need
Position open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists.
We welcome candidates with all visas and citizens to apply.
Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
Candidates who are serious about their future in the IT Industry and have set big goals for themselves.
Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes
Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement
Candidates who Lack Experience
Have had a break in careers
Lack Technical Competency
Different visa candidates who want to get employed and settle down in the USA
Please also check the below links :
Synergisticit Pics /Salaries of Successful Candidates
Synergisticit at Oracle Cloudworld 2023
Synergisticit at Gartner Data & Analytics summit
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If not a match candidates can opt for Skill enhancement.
REQUIRED SKILLS For Java/Software Programmers :
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Core Java , javascript , C++ or software programming
  • Spring boot, Microservices and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, Python, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, Time series analysis
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills are the only way a candidate can be picked by clients.
Please apply to the posting
No phone calls please. Shortlisted candidates would be reached out

Apply