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Machine Learning Engineer New Grad Jobs in Kentucky

Varsity Tutors

Machine Learning Tutor

Louisville, KY · Remote

$18 - $40/hr

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

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$18 - $40/hr

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

GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Kentucky

Machine Learning Engineer New Grad information

See Kentucky salary details

$27.4K

$111.8K

$168.1K

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

As of Jul 5, 2026, the average yearly pay for machine learning engineer new grad in Kentucky is $111,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $134,600.00 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 the most commonly searched types of Machine Learning Engineer New Grad jobs in Kentucky? The most popular types of Machine Learning Engineer New Grad jobs in Kentucky are:
What are popular job titles related to Machine Learning Engineer New Grad jobs in Kentucky? For Machine Learning Engineer New Grad jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Kentucky look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Kentucky are:
What cities in Kentucky are hiring for Machine Learning Engineer New Grad jobs? Cities in Kentucky with the most Machine Learning Engineer New Grad job openings:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Kentucky as of June 2026, with employment types broken down into 3% As Needed, 62% Full Time, 16% Part Time, and 19% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,839 per year, or $53.8 per hour.
Staff Machine Learning Engineer - Generative AI

Staff Machine Learning Engineer - Generative AI

Xometry

Lexington, KY • On-site

Full-time

Posted 26 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
Responsibilities:
  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace.
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications:
  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Xometry logo

About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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