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Machine Learning Engineer New Grad Jobs in Nebraska

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Research, fine-tune, and deploy machine learning and large language models to support business and ...

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion ...

... engineering strategies, and machine learning services within secure, containerized environments • collaborate closely with product managers, full-stack developers, platform engineers, and mission ...

... delivering new digital and machine learning capabilities - we're committed to leading digital ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

... delivering new digital and machine learning capabilities - we're committed to leading digital ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

... machine learning, and engineering practices into mission-critical environments at Combatant ... face of new and unprecedented challenges. * Hustle - Be Driven. Hustle is reflected in our ...

Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ... new hire salaries for this role in our Goleta, CA location. Individual pay will be determined by ...

Apply statistical analysis, machine learning, and data mining techniques. * Develop algorithms and predictive models using programming languages such as Python, R, or SQL. * Work with large datasets ...

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Machine Learning Engineer New Grad information

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$30K

$122.8K

$184.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 26, 2026, the average yearly pay for machine learning engineer new grad in Nebraska is $122,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $147,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

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 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 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 popular job titles related to Machine Learning Engineer New Grad jobs in Nebraska? For Machine Learning Engineer New Grad jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Nebraska look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Nebraska are:
What cities in Nebraska are hiring for Machine Learning Engineer New Grad jobs? Cities in Nebraska with the most Machine Learning Engineer New Grad job openings:
AI Engineer

AI Engineer

penlink

Lincoln, NE • On-site, Remote

Full-time

Posted 8 days ago


Job description

Description
Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it's about improving the world and keeping safe the places we call home.
We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits - even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You'll work across the stack from prompt design and model integration to evaluation, deployment, and optimization. You'll partner closely with product, design, and engineering to turn business needs into reliable AI systems.
This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you're comfortable iterating in a space where the tools and best practices are still evolving quickly.
YOUR RESPONSIBILITIES
  • Design, develop, and implement AI-powered features and applications
  • Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
  • Integrate AI models into existing applications and backend systems through APIs and scalable architectures
  • Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
  • Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
  • Optimize AI systems for scalability, latency, reliability, and cost efficiency
  • Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
  • Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
  • Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
  • Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development

Requirements
YOUR COMPETENCIES & EXPERIENCE
  • 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
  • Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
  • Strong programming skills, particularly in Python
  • Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
  • Experience fine-tuning and evaluating machine learning or large language models
  • Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
  • Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
  • Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
  • Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.