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Machine Learning Engineer Intern Jobs in Storrs, CT

AI Agent ML Engineer

Hartford, CT · On-site

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs ...

Senior Data Engineer (Requiring GCP)

Hartford, CT · On-site

$106K - $145K/yr

They are seeking a Senior Data Engineer to join their Medicare Member Experience data science team ... workflows for machine learning models. Responsibilities : • Build and maintain the cloud ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Intern (First Shift)

Eastford, CT · On-site

$14.75 - $19.75/hr

Support fabrication and machining teams with assigned non-technical tasks and project preparation ... Frequent interaction with production teams, engineering, maintenance, quality, and other cross ...

Intern (First Shift)

Eastford, CT

$14.75 - $19.75/hr

Support fabrication and machining teams with assigned non-technical tasks and project preparation ... Frequent interaction with production teams, engineering, maintenance, quality, and other cross ...

Senior Data Engineer

Hartford, CT · On-site

$139K - $230K/yr

... Machine Learning, and AI initiatives across Travelers. As a Senior Engineer, you serve as a ... technical anchor within your engineering circle: mentoring peers, driving SDLC+ and engineering ...

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Preferred : • Google Professional Machine Learning Engineer certification or the equivalent ML certification. • Master's degree in technology-related discipline. • 2+ years' leading high ...

New

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

MAPFRE USA is looking for a self-motivated team player to join their Data Engineering team as a ... Preferred : • Artificial intelligence, machine learning, and deep learning are a plus. Company

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

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Showing results 1-20

Machine Learning Engineer Intern information

See Storrs, CT salary details

$25.9K

$43.3K

$89.5K

How much do machine learning engineer intern jobs pay per year?

As of Jun 13, 2026, the average yearly pay for machine learning engineer intern in Storrs, CT is $43,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Storrs, CT look for? The top searched job categories for Machine Learning Engineer Intern jobs in Storrs, CT are:
What cities near Storrs, CT are hiring for Machine Learning Engineer Intern jobs? Cities near Storrs, CT with the most Machine Learning Engineer Intern job openings:
AI Agent ML Engineer

AI Agent ML Engineer

Bausch + Lomb

Hartford, CT • On-site

$165K - $190K/yr

Other

Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Bausch & Lomb rating

8.4

Company rating: 8.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

46th of 518 rated manufacturers


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the worldfrom the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.

Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lombs departments. This hybrid role blends hands-on engineering with strategic vision, ensuring our AI capabilities deliver measurable impact through robust agent orchestration, scalable model deployment, and seamless integration with enterprise workflows. A key focus of this role is to understand complex business processes and translate them into agentic frameworks for automation and optimization.

Key Responsibilities

  • Architect and develop multi-agent systems for process automation and intelligent decision-making.

  • Implement reasoning, planning, and tool-use capabilities using frameworks such as LangChain, AutoGPT, or similar.

  • Integrate AI agents with APIs, enterprise systems, and business workflows to drive operational efficiency.

  • Analyze, map, and document business processes; translate process requirements into agentic frameworks and automation solutions.

  • Collaborate with business stakeholders to identify opportunities for agent-driven process improvement.

  • Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models.

  • Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

  • Optimize models for scalability, latency, and accuracy in production environments.

  • Champion Responsible AI practices, including monitoring, guardrails, and compliance with governance standards.

  • Lead Agile AI Operations, including backlog management, sprint planning, cross-functional collaboration, and continuous improvement.

Qualifications

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.

  • 3+ years experience in AI/ML engineering, agent development, process engineering, or related roles.

  • Proven track record of building and deploying production-grade AI agents and ML models.

  • Deep expertise in at least three of the following: Agent orchestration, ML model development, Data engineering, API integration, Process engineering, Responsible AI.

  • Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools.

  • Experience in business process analysis, process mapping, and workflow automation.

  • Familiarity with prompt engineering and vector databases (e.g., Pinecone, Weaviate).

  • Success operating in a matrix environment, developing strong relationships across functional groups (e.g., IT, business, UX) to achieve shared goals.

  • Demonstrated expertise in Agile methodologies (e.g., Scrum, SAFe), with experience managing AI backlogs, sprints, and team metrics.

  • Excellent leadership, communication, and presentation skills, with the ability to engage and influence internal and external stakeholders, and proven sound business judgment and financial acumen.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

For U.S. locations that require disclosure of compensation, the starting pay for this role is between $165,000 and $190,000.The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.

Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.

To learn more please read Bausch + Lomb's Job Offer Fraud Statement (https://performancemanager.successfactors.eu/doc/custom/BauschLomb/Bausch_job_posting_statement.docx) .

Our Benefit Programs:Employee Benefits: Bausch + Lomb (https://www.bausch.com/careers/benefits/)

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853