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Entry Level Machine Learning Jobs in Rhode Island

Entry Level Machine Learning information

See Rhode Island salary details

$12

$17

$21

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 Rhode Island is $17.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $18.61 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.
What are the most commonly searched types of Machine Learning jobs in Rhode Island? The most popular types of Machine Learning jobs in Rhode Island are:
What job categories do people searching Entry Level Machine Learning jobs in Rhode Island look for? The top searched job categories for Entry Level Machine Learning jobs in Rhode Island are:
Assistant Professor of the Practice: Math/Deep Learning

Assistant Professor of the Practice: Math/Deep Learning

Brown University

Providence, RI • On-site

Full-time

Posted just now


Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

193rd of 539 rated colleges and universities


Job description

Description
The Data Science Institute (DSI) at Brown University is seeking to hire an Assistant Professor of the Practice of Data Science. (Professors of the Practice are faculty who are hired to enhance Brown's pedagogical mission and whose qualifications are earned primarily through professional experience rather than scholarly credentials.) The initial appointment would be for a 3-year period, renewable with potential for promotion and longer-term appointments based on performance and need. This in-person position includes teaching in our in-person Data Science Master's program and the online Master of Science in Data Science: Policy, Governance & Society, advising, and additional responsibilities.
The Assistant Professor of the Practice should have a solid background in mathematics (linear algebra, calculus), Deep Learning, Generative AI, Large Language Models, and potentially Machine Learning Operations. The incumbent will teach a Deep Learning course (currently offered by the CS Department as CSCI1470/2470), a new mandatory course on Gen AI and LLMs, and an elective course on ML Ops. All three courses are offered within the in-person master's program. This candidate will also offer an online summer course for the incoming master's students to teach/review the required linear algebra, calculus, stats/probability, and python coding required to succeed in these challenging courses.
Qualified candidates will have experience mentoring entry-level data scientists or master's/undergraduate students to develop career pathways. We seek candidates who will contribute to our overall intellectual culture; these positions will be included in faculty meetings, can advise undergraduate research projects, and can participate in graduate research with the rest of the faculty.
Founded in 1764, Brown University is a leading nonprofit research university based in Providence, Rhode Island. It is home to world-renowned faculty, and also an innovative educational institution where the curiosity, creativity and intellectual joy of students drives academic excellence.
The DSI serves Brown University as a campus hub for research and education in data science. Engaging partners across campus and beyond, DSI facilitates and conducts both domain-driven and fundamental research in data science, educates the next generation of data scientists, and explores the impact of the data revolution on culture, society, and social justice. Diversity, equity, and inclusion are integral to the commitment of the Data Science Institute and Brown University.
Qualifications
In selecting candidates, we will consider an experienced track record of being the primary instructor in data science related courses and/or relevant work experience in industry and managing a data science team; evidence of effective teaching; evidence of effective mentoring; and compatibility with the area needs and interests of the DSI, as well as potential for effective participation in DSI or university activities. For all applicants, we will consider potential for impact beyond Brown (through teaching, significant system building, outreach, or other professional activities, as appropriate for the candidate). A strong record of industry experience is required, advanced degree preferred.
NOTE: For this position, Brown does not sponsor the H-1B visa classification to scholars who need immigration sponsorship in order to enter the U.S. and commence lawful employment under the terms of their appointment.
Application Instructions
Applicants should submit a CV or resume, a teaching statement (outlining their approach to teaching and learning; this can include discussion of relevant experience outside the classroom), a statement about how they would contribute to the research and/or teaching missions of our diverse and inclusive university community, and the contact info of three professional references who could write a recommendation letter if the candidate is short-listed. Applications will be reviewed starting Januart 15, 2026; we will accept applications until the position is filled.

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