... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Frederick, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Frederick, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Hagerstown, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Hagerstown, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Adelphi, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Adelphi, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Baltimore, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Baltimore, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Largo, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Largo, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Bowie, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Bowie, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Annapolis, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Machine Learning Engineer
Annapolis, MD · On-site
... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a ... Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into ...
The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions ... such as AWS, Azure, or GCP • Knowledge of containerization technologies such as Docker or ...
The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions ... such as AWS, Azure, or GCP • Knowledge of containerization technologies such as Docker or ...
Artificial Intelligence/Machine Learning Engineer, Mid
Annapolis Junction, MD · On-site
$64.90 - $93.75/hr
Job Title Artificial Intelligence/Machine Learning Engineer, Mid Overview EverWatch is a government ... Experience with cloud platforms such as AWS, Azure, or GCP * Experience with containerization and ...
Artificial Intelligence/Machine Learning Engineer, Mid
Annapolis Junction, MD · On-site
$64.90 - $93.75/hr
Job Title Artificial Intelligence/Machine Learning Engineer, Mid Overview EverWatch is a government ... Experience with cloud platforms such as AWS, Azure, or GCP * Experience with containerization and ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... Experience working in cloud environments, including AWS or Azure * Experience deploying and ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... Experience working in cloud environments, including AWS or Azure * Experience deploying and ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... AWS and Azure * 2+ years of experience deploying and integrating production-grade ML models using ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... AWS and Azure * 2+ years of experience deploying and integrating production-grade ML models using ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... AWS and Azure * 2+ years of experience deploying and integrating production-grade ML models using ...
Agentic AI Machine Learning Engineer
Annapolis Junction, MD · On-site
$99K - $225K/yr
Agentic AI Machine Learning Engineer The Opportunity: As an experienced machine learning engineer ... AWS and Azure * 2+ years of experience deploying and integrating production-grade ML models using ...
Aws Machine Learning information
See Maryland salary details
$9.80 - $17.37
4% of jobs
$17.37 - $24.94
0% of jobs
$24.94 - $32.51
0% of jobs
$32.51 - $40.09
0% of jobs
$40.09 - $47.66
2% of jobs
$47.66 - $55.23
5% of jobs
$59.83 is the 25th percentile. Wages below this are outliers.
$55.23 - $62.80
22% of jobs
The median wage is $68.14 / hr.
$62.80 - $70.37
23% of jobs
$77.63 is the 75th percentile. Wages above this are outliers.
$70.37 - $77.94
19% of jobs
$77.94 - $85.52
16% of jobs
$85.52 - $93.09
8% of jobs
$9
$67
$93
How much do aws machine learning jobs pay per hour?
What is an AWS Machine Learning?
An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.
What are the key skills and qualifications needed for an AWS Machine Learning?
To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.
What does an AWS Machine Learning do?
In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

Full-time
Re-posted 22 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