ML Infrastructure Engineer

About the Company

DW SISTERS LLC is conducting a confidential search for an ML Infrastructure Engineer on behalf of a deep-tech computer vision company building 3D perception technology for autonomous machines. Their proprietary platform creates dense, semantic 3D maps from video — a lidar alternative — deployed across automotive, defense, healthcare, and agriculture.

About the Role

A short paragraph summarizing the key role responsibilities.

Responsibilities

• Design and implement production-quality ML training pipelines and infrastructure.
• Build tools for data visualization and verification.
• Train and analyze state-of-the-art models for 3D scene understanding (segmentation, detection, SLAM).
• Work independently in ambiguous, fast-moving environments.
• Collaborate with and help onboard future engineers.

Qualifications

• BS/MS in Computer Science, Engineering, or similar field.

Required Skills

• 2–5 years building deep learning pipelines for images or video.
• Strong Python and PyTorch proficiency.
• Experience developing large-scale ML/data processing infrastructure.
• Background in computer vision ML infrastructure.

Preferred Skills

• Python
• PyTorch
• AWS / Lambda
• Labs
• Computer Vision
• SLAM
• Semantic Segmentation

Pay range and compensation package

COMPENSATION $155K–$205K + Equity

Equal Opportunity Statement

DW SISTERS LLC is committed to diversity and inclusivity.

Posted by DW SISTERS LLC • info@dwsisters.com • No C2C | No Third-Party Agencies