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Backend Engineer: ML/NLP Data Pipelines & Search
FleetGlue
- United States
- United States
About
Lead end-to-end implementation of Python based services to ingest, store, tokenize/index, and search manufacturing documentation Architect scalable processing pipelines for documents, video, and mixed-media content by evaluating and integrating various tools (OCR, MMLMs, VLMs, YOLO etc.) Build infrastructure to support functionality including cycle time tracking and workflows Collaborate with ML, frontend, and robotics teams to deliver integrated solutions You Bring
Solid experience with Python backend development and ML, RAG, NLP architectures Proven track record leading service creation at scale Experience building search and indexing systems for unstructured data Availability to work EST hours Bonus Points
Experience with high-frequency data streaming technologies (Kafka, ZeroMQ, RabbitMQ, ROS) Background in combining siloed data systems and breaking down information barriers Experience with Kubernetes, Terraform, and infrastructure as code Familiarity with manufacturing processes, MES/ERP systems, or IIOT Experience with video processing and multi-modal search systems What We Offer
Top tier pay and equity: We want to make it easy to be a FleetGlue Generational opportunity. Be early at a company defining the software layer for industrial automation.
American reindustrialization is happening. We’re building the platform to make it real — faster.
Zero bureaucracy. High impact. You’ll be on the front lines, solving real problems for real factories.
You will level up. You’ll work directly with the founder and exec team
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Languages
- English
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