Hybrid 3D ML Engineer for Autonomous Robotics

FieldAI; Irvine (CA); Hybrid; USD 70,000 - 300,000; Full time

Benefits offered by this job

Flexible working options

Salary based on experience

Inclusive work environment

Job summary

A robotics company in Irvine, California is seeking a 3D Machine Learning Engineer to design, implement, and maintain cutting-edge machine learning models. You will work with 3D point clouds and collaborate closely with interdisciplinary teams. Ideal candidates should have a relevant degree and at least 2 years of experience in machine learning, especially in 3D spatial data. This role offers a competitive salary range between $70,000 and $300,000, depending on experience, and options for hybrid or remote work.

Qualifications

• 2+ years of hands-on industry experience developing and deploying machine learning systems.
• Strong expertise in 3D machine learning and deep learning for point clouds.
• Experience training, evaluating, and deploying ML models using cloud infrastructure.

Responsibilities

• Design and implement scalable machine learning pipelines for 3D spatial data.
• Train, optimize, and deploy deep learning models on cloud platforms.
• Collaborate with teams to integrate models into production environments.

Skills

3D machine learning

Deep learning frameworks (PyTorch, TensorFlow)

Python programming

Data processing and analysis

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics

Tools

AWS (SageMaker, EC2)

OpenCV

PCL (Point Cloud Library)

Job description

A robotics company in Irvine, California is seeking a 3D Machine Learning Engineer to design, implement, and maintain cutting-edge machine learning models. You will work with 3D point clouds and collaborate closely with interdisciplinary teams. Ideal candidates should have a relevant degree and at least 2 years of experience in machine learning, especially in 3D spatial data. This role offers a competitive salary range between $70,000 and $300,000, depending on experience, and options for hybrid or remote work.