$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Warwick, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Warwick, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Pawtucket, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Pawtucket, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Providence, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Summer 2027 Intern - Machine Learning Engineering
Providence, RI · On-site +1
$40/hr
... new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer * Help integrate ...
Senior Machine Learning Engineer - Providence - Rag/LLM/Ai
Providence, RI · On-site
$105K - $145K/yr
The role blends hands-on development with technical leadership: evaluating new approaches, shaping ... machine learning, engineering, or a comparable technical field What You Will Be Doing Daily ...
Senior Machine Learning Engineer - Providence - Rag/LLM/Ai
Providence, RI · On-site
$105K - $145K/yr
The role blends hands-on development with technical leadership: evaluating new approaches, shaping ... machine learning, engineering, or a comparable technical field What You Will Be Doing Daily ...
Senior Machine Learning Engineer - Providence - Rag/LLM/Ai
Providence, RI · Hybrid
$105K - $144K/yr
The role blends hands-on development with technical leadership: evaluating new approaches, shaping ... machine learning, engineering, or a comparable technical field What You Will Be Doing Daily ...
Senior Machine Learning Engineer - Providence - Rag/LLM/Ai
Providence, RI · Hybrid
$105K - $144K/yr
The role blends hands-on development with technical leadership: evaluating new approaches, shaping ... machine learning, engineering, or a comparable technical field What You Will Be Doing Daily ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
New
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... The Search and Discovery ML team at Instacart works alongside world-class engineers, data ...
Machine Learning Engineer New Grad information
What is a machine learning engineer new grad?
A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.
What are the typical day-to-day tasks of a machine learning engineer new grad?
As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.
What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?
To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.
What are popular job titles related to Machine Learning Engineer New Grad jobs in Rhode Island?
For Machine Learning Engineer New Grad jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Rhode Island look for?
The top searched job categories for Machine Learning Engineer New Grad jobs in Rhode Island are:
What cities in Rhode Island are hiring for Machine Learning Engineer New Grad jobs?
Cities in Rhode Island with the most Machine Learning Engineer New Grad job openings:
$40/hr
Full-time, Temporary, Internship
Retirement
Posted 4 days ago
Workiva rating
9.9
Based on 7 frontline employees who took The Breakroom Quiz
1st of 247 rated software companies
Job description
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.
What You'll Do
- Participate in discovery, requirements gathering, and prototyping of new tools and libraries
- Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
- Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
- Assist in building and deploying AI Agents to automate data processing and analysis tasks
- Participate in code reviews
- Implement and update tests (unit, integration)
- Track tasks and complete status updates using internal tools
- Work in an Agile development methodology alongside your teammates
What You'll Need
Minimum Qualifications
- Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
- Possess solid programming skills
- Basic experience with source control systems such as Git
Preferred Qualifications
- Work effectively within a geographically distributed team
- Demonstrate strong communication and organizational skills
- Familiarity with the data science lifecycle and basic machine learning concepts
- Experience with containerization tools such as Docker and Kubernetes
- Knowledge of cloud platforms such as AWS
- Proficiency with Python and/or Go
- Familiarity with REST APIs
Travel Requirements & Working Conditions
- Minimal travel
- Reliable internet access for any period of time working remotely, not in a Workiva office
Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.
When can you expect to hear back?
We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!
Postings close: September 27, 2026
Engineering postings close: October 2, 2026
Interviews: Early to mid October
Offers: Late October
2027 Start Dates:
This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.
- Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
- Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)
How You’ll Be Rewarded
Salary range in the US: $40.00 - $40.00 401(k) participation and match
Paid sick leave
A unique opportunity to further your learning experience through additional internship seasons
Why Join Workiva
Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.
At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.
Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.
Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .
Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.
Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.
About Workiva
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
Ames, IA, US
Year founded
2008