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Internship Machine Learning Engineer Jobs in Nebraska

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 ...

Principal, Data & AI Platform Engineer

Omaha, NE · On-site

$109K - $131K/yr

Machine Learning & LLM Enablement (OnPrem) * Design and deploy onprem ML and LLM solutions for ... Develop ML pipelines for feature engineering, training, validation, and inference using ...

Sr Data Engineer

Omaha, NE · On-site

$96K - $130K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of ... Create a foundational data infrastructure to support AI and machine learning capabilities across ...

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ... Strong AWS data engineering expertise including scalability, reliability, and cost optimization

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

The role involves developing statistical and machine learning models, visualizing insights, and collaborating with software developers to enhance products for better customer service.

Software Engineer AI/ML

Omaha, NE

$109K - $131K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

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Internship Machine Learning Engineer information

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What are the most commonly searched types of Machine Learning Engineer jobs in Nebraska? The most popular types of Machine Learning Engineer jobs in Nebraska are:
What cities in Nebraska are hiring for Internship Machine Learning Engineer jobs? Cities in Nebraska with the most Internship Machine Learning Engineer job openings:
AI Agent ML Engineer

$165K - $190K/yr

Other

Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Bausch & Lomb rating

8.5

Company rating: 8.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

33rd of 519 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