Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, develop, and deploy multimodal vision-language models to interpret manufacturing documentation (drawings, CAD, quality docs). Build annotation tooling, active learning loops, and synthetic data strategies. Create evaluation frameworks, collaborate on AI platform roadmaps, and drive production model health and deployment for factory-scale automation.

Lead research, development, and production deployment of object detection and segmentation models for document, layout, and part understanding. Build annotation tooling, active learning loops, synthetic data strategies, and evaluation frameworks, collaborate on ML roadmap, and improve model accuracy to drive manufacturing automation.

Own the ML lifecycle for LLMs applied to manufacturing data: fine-tune and deploy models for document classification, information extraction, table parsing, and multi-page reasoning; build annotation tooling, active learning, and synthetic data pipelines; develop evaluation frameworks; collaborate on AI platform roadmap and optimize model accuracy and production health.

The Manufacturing Engineer oversees production support, integrates customer expectations, leads transitions to high-volume manufacturing, and enhances processes with automation and software collaboration.

Lead the design, development, and deployment of intelligent automation systems focusing on robotic manipulation and control in manufacturing environments.

Design, develop, and commission automated robotic cells for high-precision manufacturing. Collaborate with hardware and software engineers to execute machining strategies.

Lead the development of automated systems for manufacturing, collaborating across teams for scalable and efficient production processes.

Develop and qualify CNC machining processes (CAM strategy through first-part-off) for complex aerospace parts. Lead process capability studies, SPC, DOE, tooling and fixturing, capex evaluations, equipment bring-up, and DFM to drive repeatable production and cost/time reductions.

Lead customer quality onboarding and gap assessments, map and integrate customer quality requirements into automation, manage audits and corrective actions, develop QMS, create quality plans/protocols, and drive data-driven process improvements for manufacturing and NPI programs.

Manage customer-facing program execution and coordinate infrastructure delivery across factory locations, ensuring team collaboration and tracking of milestones.