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Summer Machine Learning Software Engineer Jobs in Irvine, CA

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D ... with software and systems engineers to integrate models into production environments and ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the research, design, implementation, and testing of CV and/or AI/ML software

... software, automation, and advanced manufacturing systems built for speed. Our customers are ... We're looking for a Machine Learning Engineer to train custom models using our internal data. This ...

... software, automation, and advanced manufacturing systems built for speed. Our customers are ... We're looking for a Machine Learning Engineer to train custom models using our internal data. This ...

At least 3 years of professional experience building and deploying software systems, with direct ... machine learning workloads and production code. DISCLOSURE Our company provides equal employment ...

Develop both machine-learning-based and classical perception approaches, selecting the appropriate method based on mission requirements, data availability, compute constraints, reliability, and test ...

We are looking for an AI-Powered Software Engineer who treats AI agents as a primary development ... Stay updated with the latest advancements in AI and machine learning and continuously improve AI ...

Software Engineer - AI

Irvine, CA · On-site

$110 - $130/hr

Apply statistical analysis, data processing, and machine learning techniques to solve business ... & DevOps * Deploy AI applications on cloud platforms. * Build CI/CD pipelines for AI and software ...

Software Engineer - AI

Irvine, CA · On-site

$98.60 - $157.80/hr

## Software Engineer - AIApplyremote type: Hybridlocations: Irvine, CA, United States of Americatime ... Apply statistical analysis, data processing, and machine learning techniques to solve business ...

Showing results 21-40

Summer Machine Learning Software Engineer information

See Irvine, CA salary details

$39

$77

$128

How much do summer machine learning software engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for summer machine learning software engineer in Irvine, CA is $77.37, according to ZipRecruiter salary data. Most workers in this role earn between $54.42 and $98.03 per hour, depending on experience, location, and employer.

What is the difference between Summer Machine Learning Software Engineer vs Summer Data Scientist?

AspectSummer Machine Learning Software EngineerSummer Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; coding skills in Python, JavaBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentSoftware development teams, coding, model deploymentData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, research labsTech firms, finance, healthcare, consulting

While both roles involve working with data and algorithms, Summer Machine Learning Software Engineers focus on developing and deploying machine learning models through coding and software development. Summer Data Scientists primarily analyze data, build statistical models, and generate insights. The roles often overlap but differ in their core activities and skill emphasis.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Irvine, CA?

The most popular types of Machine Learning Software Engineer jobs in Irvine, CA are:

2.53 3D Machine Learning Engineer

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
FieldAI is a company based in Irvine, California, specializing in embodied AI and robotics. They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking and scene understanding in construction environments.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.