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Aws Sagemaker Machine Learning Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... as AWS (e.g., SageMaker, EC2). * Collaborate with software and systems engineers to integrate ...

Intellisoft Technologies

ML Engineer

Malvern, PA · Hybrid

ML models AWS SageMaker AWS services Responsibilities - Design develop and optimize complex data pipelines using machine learning engineering best practices to ensure scalability efficiency and ...

United IT

Data Engineer IV

Cincinnati, OH · On-site

$109K - $132K/yr

This is an exciting opportunity to work on cutting-edge data pipelines that support enterprise-level machine learning models deployed in AWS SageMaker. Key Responsibilities: * Build and maintain ...

UST Inc

AWS Machine Learning Engineer

Chicago, IL

$72K - $108K/yr

Experience with SageMaker Pipelines, model packaging/registration concepts, and deployment ... sagemaker,machine learning,aws,python,amazon s3,aws lambda,aws step functions, Benefits ...

Diverse Lynx

: AWS Cloud Engineer

Minneapolis, MN · On-site

$58.25 - $77.75/hr

... machine learning models using AWS SageMaker, integrated with Jupyter Notebook, to enable scalable model training, evaluation, and deployment. • Design solutions for large data ingestion, archival ...

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases ...

Ibotta

$228K - $253K/yr

We're looking for someone who has a passion for building scalable machine learning solutions using technologies and tools such as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Principal ...

Diverse Lynx

AI Engineer with Python

Plano, TX · On-site

... AWS, SageMaker, Kubernetes, CI/CD) • Database expertise (SQL & NoSQL) • Develop and maintain Python backend services, APIs, and microservices • Integrate machine learning models, neural ...

SES

Python Developer - AWS - ZL

Reston, VA · Hybrid

$52.25 - $72/hr

Use AWS SageMaker to build, train, and deploy machine learning and GenAI models. Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases ...

Lennar Homes

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... They are hands-on with AWS SageMaker (including SageMaker Unified Studio), MLflow, Weights & Biases ...

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$128.8K

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How much do aws sagemaker machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for aws sagemaker machine learning in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
Infographic showing various Aws Sagemaker Machine Learning job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% As Needed. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

3D Machine Learning Engineer

FieldAI

Irvine, CA

Full-time

Posted 17 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You’ll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
What You Have
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.