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

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 ...

Hertz

Tire and Lube Technician

East Boston, MA · On-site

$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 ...

Hertz

Tire and Lube Technician

East Boston, MA · On-site

$19.50/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

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Entry Level Machine Learning information

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

As of Sep 15, 2026, the average hourly pay for entry level machine learning in Boston, MA is $18.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $20.62 per hour, depending on experience, location, and employer.

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 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 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.

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, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $39,465 per year, or $19 per hour.

Analyst, Portfolio Construction & Trading

Boston, MA • Hybrid

Acadian Asset Management LLC
Finance and Insurance • 51 - 200 employees
Learn more about Acadian Asset Management LLCexternal

$80K - $95K/yr

Full-time

Medical, Retirement

Posted 24 days ago

Key responsibilities

  • Support the day-to-day implementation and management of quantitative investment strategies, including portfolio construction, review, rebalancing, order creation, trade review, and execution.

  • Assist with cash flow management and monitor client portfolios, investment exposures, and guideline adherence.

  • Use Python, AI-enabled tools, and other technologies to analyze data, automate workflows, improve reporting, and reduce manual processes.

Job description

Position Overview:

The Analyst will work across both Portfolio Construction and Trading functions, gaining hands-on exposure to portfolio implementation, trading, quantitative analysis, and the systems and processes used to manage client portfolios. This is an entry-level opportunity for a recent graduate from a STEM program who is highly quantitative, technically capable, and interested in applying Python, AI tools, automation, and data analysis to real-world investment management problems. The role provides extensive involvement in quantitative investment workflows and global equity markets. It also helps improve the tools, systems, and processes that support portfolio construction and trade execution. The ideal candidate will be intellectually curious, detail-oriented, comfortable working with data and code, and excited to contribute across a broad range of analytical, trading, and portfolio implementation initiatives.

Acadian supports a hybrid work environment; employees are on-site in the Boston office a minimum of 3 days a week.

What You'll Do:

  • Support the day-to-day implementation and management of quantitative investment strategies, including portfolio construction, portfolio review, rebalancing, order creation, trade review, and execution.
  • Assist with cash flow management and the monitoring of client portfolios, investment exposures, and guideline adherence.
  • Use Python, AI-enabled tools, and other technologies to analyze data, automate recurring workflows, improve reporting, and reduce manual processes.
  • Conduct quantitative analysis related to portfolio optimization, transaction costs, execution quality, market conditions, broker performance, risk exposures, and portfolio characteristics.
  • Produce and enhance transaction cost analysis and other reporting used to evaluate trading outcomes and support decision-making.
  • Investigate data issues, process exceptions, and workflow inefficiencies, and help develop practical, scalable solutions.

We're Looking for Teammates With:

  • Bachelors degree in a STEM related field.
  • Strong technical aptitude, including experience with Python, data analysis, scripting, or workflow automation.
  • Demonstrated interest in AI, machine learning, generative AI, coding assistants, or other emerging technologies.
  • Interest in financial markets, quantitative investing, portfolio construction, trading, market microstructure, and investment technology.
  • Strong organizational skills and the ability to manage time-sensitive tasks and meet daily deadlines in a fast-paced environment.
  • Intellectual curiosity, sound judgment, and a willingness to learn from experienced trading and investment professionals.
  • A collaborative mindset and an interest in working across investment, technology, and business teams.

The base salary range for this role is $80,000 - $95,000 per year. Actual compensation will be determined based on a candidate's skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian's comprehensive benefits program, which includes health, retirement, and wellness offerings.

Apply