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Machine Learning Engineer New Grad Jobs in Ashland, NE

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

AI Engineer

Lincoln, NE ยท On-site

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 ...

AI Engineer

Lincoln, NE ยท On-site +1

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 ...

AI Engineer

Bellevue, NE ยท On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, 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 ...

Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ... Experience collaborating with engineers, product managers, and other cross-functional teams

Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ... Experience collaborating with engineers, product managers, and other cross-functional teams

Be a hands-on leader to mentor the team in the latest machine learning approaches, and to introduce new technologies and processes. * Partner with ML engineering leadership to design and develop ...

... 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 ...

... 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 ...

... intelligence and machine learning techniques to solve complex questions or fuel new business ... programming in R, SQL, Python โ€ข Automate data wrangling, iterative solution search and ...

Showing results 21-40

Machine Learning Engineer New Grad information

See Ashland, NE salary details

$30.2K

$123.3K

$185.3K

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

As of Sep 12, 2026, the average yearly pay for machine learning engineer new grad in Ashland, NE is $123,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $148,400.00 per year, depending on experience, location, and employer.

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 cities near Ashland, NE are hiring for Machine Learning Engineer New Grad jobs?

Cities near Ashland, NE with the most Machine Learning Engineer New Grad job openings:

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Bellevue, NE โ€ข On-site

$99K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago


Key responsibilities

  • Design, build, and deploy machine learning models for video understanding and multimodal systems

  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading

  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment


Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Job Description

What We Do

We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content.

We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

What You'll Do

  • Design, build, and deploy machine learning models for video understanding and multimodal systems
  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
  • Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
  • Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
  • Contribute to scalable systems for processing and understanding large volumes of video content
  • Prototype quickly while also building robust, production-ready systems

Qualifications & Experience

  • 4+ years of experience in machine learning, with a focus on computer vision or video
  • Master's or PhD in Computer Science, Machine Learning, or a related field
  • Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
  • Strong programming skills (Python) and solid computer science fundamentals
  • Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
  • Familiarity with multimodal systems (vision + language, embeddings, retrieval)
  • Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
  • Ability to implement and adapt algorithms from recent research in computer vision (especially video)
  • Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
  • Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
  • Experience working with large-scale datasets and distributed systems
  • Ability to translate ambiguous problems into clear technical solutions
  • Strong collaboration and communication skills across technical and non-technical teams

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $150,640.00 - $279,760.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.