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Internship Machine Learning Engineer Jobs in Nebraska

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 ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

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 ...

Project Manager Internship

Omaha, NE · On-site

$16 - $20.75/hr

Interns will be learning the aspect of all programs that are utilized, engineering details, Project Manager meetings, Sales Meetings and production scheduling. Requirements * An individual majoring ...

Project Manager Internship

Omaha, NE · On-site

$16 - $20.75/hr

Interns will be learning the aspect of all programs that are utilized, engineering details, Project Manager meetings, Sales Meetings and production scheduling. Requirements * An individual majoring ...

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

Data Engineer

Omaha, NE · On-site

$109.50K - $131.50K/yr

Preferred Skills * 4+ years of experience in applied data science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g ...

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Internship Machine Learning Engineer information

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 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 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 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 Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

61st of 415 rated machine equipment manufacturers


Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative development environment. In this role, you will contribute to the development and deployment of modern machine learning methods for finding structure in large healthcare data sets.
At GE HealthCare, we are committed to bringing AI and cloud-based solutions for our customers: all aspects of computing services across the cloud and edge - including advanced analytics, visualization, multi-modal learning, servers, databases, storage, networking, analytics, software, intelligence are delivered over the Internet. Our Science & Technology organization is harnessing the power of technology to make healthcare more precise, more personalized, and more accessible for everyone. From driving the overall clinical research and patient-centric innovation strategy to delivering new digital and machine learning capabilities - we're committed to leading digital transformation, improving outcomes for patients and providers, and creating a world where healthcare has no limits.
Job Description
Roles and Responsibilities
Are you passionate about using AI to transform healthcare? We are looking for a highly motivated individual, passionate about foundational AI models to join the GE Healthcare AI group. As the Senior Staff AI Scientist, you will focus on exciting generative AI problems, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, quantization, etc.
Additionally, you will be responsible for:
  • Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks using one or more of electronic medical records, waveforms, and clinical reports.
  • Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
  • Exploring learning from human feedback and assisting humans evaluating AI.
  • Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
  • Working with large-scale datasets, designing, and developing generative algorithms.
  • Staying current on published state-of-the-art algorithms and competing technologies.

Basic Qualifications
  • Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 years of relevant research OR Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 years of relevant research.
  • Publications as first author on LLM, Agentic AI or self supervised learning (SSL).
  • Demonstrated expertise in building large scale AI such as generative AI models.
  • Implementation experience with a variety of high-level languages (e.g. Python, C++)
  • Experience with high-dimensional imaging data and waveform/time-series data.

Preferred Qualifications
  • Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
  • Experience with frameworks and tools such as DeepSpeed, HuggingFace, Megatron, PyTorch lightning, etc.
  • Experience with various MLOps, ModelOps, FMOps (Foundation Model Ops) methods.
  • Experience working with large scale AI training.
  • An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
  • Track record in developing machine learning solutions using massive real-world data for solving real world business problems.
  • In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
  • Experience creating production environment data analytics and applications

Eligibility Requirements
  • Must be willing to travel to attend meetings, workshops, conferences & etc.
  • Must be willing to work out of an office located in Bellevue, WA.

About Team
GE Healthcare teams are based in the US (San Ramon, Bellevue), France, Israel (Tel Aviv), and India (Bangalore). This gives us several core overlap hours for shared meetings.
Work/Life Balance
Our team also puts a significant value on work-life balance. Having a healthy balance between your personal and professional life is crucial to your happiness and success here. We don't focus on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Mentorship & Career Growth
We maintain diverse engineering, and leadership perspectives and backgrounds across technology and beyond. Our employees are excited to share their experiences and mentor more junior engineers. Team members are highly encouraged to set up mentorship relationships with seasoned engineers, not only in our team, but also across the broader GE Healthcare population.
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes
For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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