Machine Learning Engineer
Vancouver, WA · 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 ...
Vancouver, WA · 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 ...
Vancouver, WA · 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 ...
Portland, OR · 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 ...
Portland, OR · 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 ...
Gresham, OR · 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 ...
Gresham, OR · 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 ...
Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
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Vancouver, WA · On-site
$99K - $119K/yr
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
Beaverton, OR · On-site
$119K - $143K/yr
... AWS * Experience building Machine Learning/Data Science applications
Beaverton, OR · On-site
$119K - $143K/yr
... AWS * Experience building Machine Learning/Data Science applications
Beaverton, OR · On-site
$127K - $168K/yr
... the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • Infrastructure as Code at Scale (Terraform) • Kubernetes based ...
Beaverton, OR · On-site
$127K - $168K/yr
... the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • Infrastructure as Code at Scale (Terraform) • Kubernetes based ...
... machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS ...
... machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS ...
Beaverton, OR · On-site
$127K - $168K/yr
Position requires: • Distributed Systems • CI/CD Pipelines • Machine Learning Pipelines • Cloud Platforms (Azure, AWS, GCP) • API Development • Model development and Training • ...
Beaverton, OR · On-site
$127K - $168K/yr
Position requires: • Distributed Systems • CI/CD Pipelines • Machine Learning Pipelines • Cloud Platforms (Azure, AWS, GCP) • API Development • Model development and Training • ...
Portland, OR · On-site
$110K - $152K/yr
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
Portland, OR · On-site
$110K - $152K/yr
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
Portland, OR · On-site
$108K - $143K/yr
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
Portland, OR · On-site
$108K - $143K/yr
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
Your Role The AI & Machine Learning team works in partnership across the enterprise to accelerate ... Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS ...
Your Role The AI & Machine Learning team works in partnership across the enterprise to accelerate ... Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS ...
Beaverton, OR · On-site
... machine learning solutions that have a direct impact on the business; help design and build ... AWS Cloud Integrations or similar platform • Open-Source products like Kafka, NIFI • ...
Beaverton, OR · On-site
... machine learning solutions that have a direct impact on the business; help design and build ... AWS Cloud Integrations or similar platform • Open-Source products like Kafka, NIFI • ...
$10.71 - $18.98
4% of jobs
$18.98 - $27.25
0% of jobs
$27.25 - $35.53
0% of jobs
$35.53 - $43.80
0% of jobs
$43.80 - $52.07
2% of jobs
$52.07 - $60.35
5% of jobs
$65.37 is the 25th percentile. Wages below this are outliers.
$60.35 - $68.62
22% of jobs
The median wage is $74.45 / hr.
$68.62 - $76.90
23% of jobs
$84.82 is the 75th percentile. Wages above this are outliers.
$76.90 - $85.17
19% of jobs
$85.17 - $93.44
16% of jobs
$93.44 - $101.72
8% of jobs
$10
$74
$101
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.
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.
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 18 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