... 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 ...
Machine Learning Engineer
Frankfort, KY · On-site
... 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
Frankfort, KY · On-site
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
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.
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.
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.
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.
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.
Lead Machine Learning Engineer (VertexAI and GCP)
Louisville, KY · On-site
$98K - $129K/yr
Hi please let me know if interested in any opportunity. Tech Lead Louisville, KY Description Location- Onsite Lead Machine Learning Engineer (MLOps & LMOps) This position designs, builds, tests, and ...
Quick apply
Lead Machine Learning Engineer (VertexAI and GCP)
Louisville, KY · On-site
$98K - $129K/yr
Hi please let me know if interested in any opportunity. Tech Lead Louisville, KY Description Location- Onsite Lead Machine Learning Engineer (MLOps & LMOps) This position designs, builds, tests, and ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock ...
Machine Learning Engineer New Grad information
See Kentucky salary details
$27.4K - $40.1K
1% of jobs
$40.1K - $52.9K
1% of jobs
$52.9K - $65.7K
5% of jobs
$65.7K - $78.5K
6% of jobs
$89.1K is the 25th percentile. Wages below this are outliers.
$78.5K - $91.3K
14% of jobs
$91.3K - $104.1K
14% of jobs
The median wage is $110.5K / yr.
$104.1K - $116.9K
18% of jobs
$116.9K - $129.7K
14% of jobs
$132.3K is the 75th percentile. Wages above this are outliers.
$129.7K - $142.5K
12% of jobs
$142.5K - $155.3K
11% of jobs
$155.3K - $168.1K
5% of jobs
$27.4K
$111.8K
$168.1K
How much do machine learning engineer new grad jobs pay per year?
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.
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Full-time
Posted 17 days ago
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