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Urgently Hiring Machine Learning Engineer New Grad Jobs in Kentucky

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

$209 - $239/hr

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be ... New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other ...

New

$120 - $180/hr

Generative AI & Machine Learning Engineer Tampa, FL Full-Time Remote Open Share As a Generative AI ... You will be empowered to try new approaches and learn new technologies. You will foster innovative ...

New

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Machine Learning Engineer

Louisville, KY · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

$185 - $258/hr

... and hiring teams. Never share sensitive personal information unless you are confident of the ... new employee's I-9 to confirm work authorization. #J-18808-Ljbffr

New

Machine Learning Engineer

Lexington, KY · On-site

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or ... We are committed to a merit-based hiring process, evaluating all candidates consistently using ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.

Showing results 21-40

Urgently Hiring Machine Learning Engineer New Grad information

What does a machine learning engineer new grad do?

An entry-level Machine Learning Engineer is responsible for designing, developing, and deploying machine learning models to solve real-world problems. They work closely with data scientists, software engineers, and product teams to collect and preprocess data, select appropriate algorithms, and integrate models into production systems. New grads in this role often focus on learning industry best practices, improving model performance, and collaborating on cross-functional projects under the guidance of more senior engineers. They may also participate in code reviews, documentation, and continuous learning to stay updated with advancements in machine learning.

What are some common challenges new graduates face when starting as a machine learning engineer, and how can they overcome them?

New graduates entering Machine Learning Engineering often find it challenging to bridge the gap between academic knowledge and real-world applications, especially when dealing with large, messy datasets and ambiguous business objectives. Collaborating effectively with cross-functional teams—such as data engineers, product managers, and software developers—can also be a learning curve, as clear communication and understanding of broader project goals are essential. To overcome these challenges, new grads should seek mentorship, actively participate in code reviews, and focus on continuously improving their coding and problem-solving skills through hands-on projects. Embracing feedback and staying updated with industry best practices will also accelerate their professional growth.

What are the key skills and qualifications needed to thrive as a machine learning engineer new grad, and why are they important?

To thrive as a Machine Learning Engineer New Grad, you need a solid background in computer science, statistics, and programming (especially Python), typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems is commonly required. Strong problem-solving abilities, teamwork, and effective communication help new grads excel in collaborative and fast-evolving environments. These skills ensure the ability to build, deploy, and continually improve machine learning models that solve real-world problems.

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 Urgently Hiring Machine Learning Engineer New Grad jobs in Kentucky?

For Urgently Hiring Machine Learning Engineer New Grad jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Urgently Hiring Machine Learning Engineer New Grad jobs?

Cities in Kentucky with the most Urgently Hiring Machine Learning Engineer New Grad job openings:

Machine Learning Engineer

Bespoke Labs

Louisville, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination