Annapolis, MD · 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 ...
Annapolis, MD · 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 ...
Bowie, MD · 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 ...
Bowie, MD · 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 ...
We are seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to ... Willingness to learn new technologies and take on new challenges. * Strong written and oral ...
We are seeking a Machine Learning Engineer or Scientist with experience in the physical sciences to ... Willingness to learn new technologies and take on new challenges. * Strong written and oral ...
... 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 ...
$200K - $220K/yr
Set the Standard - Proactively surface opportunity areas, take ownership of new processes and ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
$200K - $220K/yr
Set the Standard - Proactively surface opportunity areas, take ownership of new processes and ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
... 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 ...
Frederick, MD · 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 ...
Frederick, MD · 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 ...
Largo, MD · 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 ...
Largo, MD · 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 ...
Hagerstown, MD · 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 ...
Hagerstown, MD · 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 ...
Adelphi, MD · 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 ...
Adelphi, MD · 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 ...
Set the Standard - Proactively surface opportunity areas, take ownership of new processes and ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
Set the Standard - Proactively surface opportunity areas, take ownership of new processes and ... machine learning engineering, with a track record of owning and delivering complex ML systems in ...
Jessup, MD · Hybrid
Worker Type Regular AV is seeking aSoftware Engineer 3with Machine Learning (ML) & Artificial ... solving new challenges,we certainly would like to have you as a part of our team. Job ...
Jessup, MD · Hybrid
Worker Type Regular AV is seeking aSoftware Engineer 3with Machine Learning (ML) & Artificial ... solving new challenges,we certainly would like to have you as a part of our team. Job ...
Bethesda, MD · On-site
$105K - $215K/yr
Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...
Bethesda, MD · On-site
$105K - $215K/yr
Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...
Bethesda, MD · Hybrid
$105K - $215K/yr
Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...
Bethesda, MD · Hybrid
$105K - $215K/yr
Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...
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.
$30.6K - $44.9K
1% of jobs
$44.9K - $59.2K
1% of jobs
$59.2K - $73.5K
5% of jobs
$73.5K - $87.7K
6% of jobs
$99.6K is the 25th percentile. Wages below this are outliers.
$87.7K - $102K
14% of jobs
$102K - $116.3K
14% of jobs
The median wage is $123.5K / yr.
$116.3K - $130.6K
18% of jobs
$130.6K - $144.9K
14% of jobs
$147.8K is the 75th percentile. Wages above this are outliers.
$144.9K - $159.2K
12% of jobs
$159.2K - $173.5K
11% of jobs
$173.5K - $187.8K
5% of jobs
$30.6K
$125K
$187.8K
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.
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.
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.
Full-time
Posted 16 days ago
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
