AI Engineer - US Remote

About [Employer]

[Employer] is building the Thinking Factory: a factory floor that sees, understands, and acts on its own. Our Vision-to-Action AI turns video from off-the-shelf cameras into real-time decisions, with no rip-and-replace of existing infrastructure. We work with mid-market and enterprise manufacturers to deliver end-to-end outcomes, not dashboards:

• Higher yields: catch defects and process drift as they happen, and cut scrap and downtime.
• Closed-loop integration: connect vision insights directly to MES, PLC, and other production systems so findings trigger action.
• Safer, compliant floors: detect safety and compliance risks continuously, instead of relying on periodic audits.

Founded in 2022, [Employer] raised a $27M Series A led by U.S. Venture Partners in June 2026 to push the frontier of our vision models, expand factory orchestration, and bring Thinking Factories to new industries and geographies. The models you build here will run on real production lines, where accuracy, latency, and reliability decide outcomes.

What you'll do

• Define the technical strategy and architecture for vision models across detection, VLM, and VLA workloads.
• Train, fine-tune, and adapt models (YOLO variants, open VLMs, VLA policies) on proprietary data, including distillation, quantization, and LoRA-style adaptation.
• Build data engines: labeling pipelines, auto-labeling with foundation models, active learning, and synthetic or simulated data.
• Design rigorous evaluation: benchmarks, regression suites, failure-mode analysis, and online metrics tied to product outcomes.
• Ship models to production under latency, memory, and cost limits, on cloud GPUs and edge hardware (TensorRT, ONNX, Jetson or similar).
• Lead cross-team technical projects; write design docs; review code and models; mentor senior and mid-level engineers.
• Track the research frontier, decide what is worth adopting, and turn it into prototypes and product.

Requirements

What we're looking for

• 5+ years building and shipping ML systems, with focus on computer vision; BS/MS/PhD in CS, EE, or a related field, or equivalent experience.
• Deep hands-on experience with object detection and segmentation (YOLO family, DETR-style models), including training, tuning, and production deployment.
• Hands-on experience with VLMs (for example LLaVA-, Qwen-VL-, or PaliGemma-style models): fine-tuning, prompting, grounding, and evaluation.
• Experience with VLAs or embodied and robot-learning models (for example OpenVLA-, RT-2-, or pi0-style policies), or a clear record in adjacent multimodal work.
• Strong PyTorch skills and fluency with distributed training, mixed precision, and GPU profiling.
• Track record of taking models from research to production: model optimization, inference serving, monitoring, and iteration on real-world failures.
• Evidence of staff-level impact: setting direction across teams, making sound build-versus-adopt calls, and raising the bar for others.
• Clear written and verbal communication with engineers, researchers, and product leaders.

Nice to have

• Publications or open-source contributions in vision or multimodal learning.
• Experience with video understanding, 3D perception, or multi-sensor fusion.
• Experience with simulation, sim-to-real transfer, or reinforcement and imitation learning.
• Edge and embedded deployment experience (TensorRT, CUDA, quantization-aware training).
• Experience with LLM tooling such as vLLM, or with RLHF-style post-training for multimodal models.
• This role may support work subject to U.S. export controls (ITAR). Access to certain projects may require U.S.-person status (U.S. citizen or national, lawful permanent resident, refugee, or asylee) or export authorization.

Benefits

Why Join [Employer]?

• Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems
• Shape the future of project delivery by building scalable processes for AI system deployments
• Work with world-class engineering talent while optimizing team performance and customer success
• Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments
• Lead strategic initiatives that directly impact company growth and customer satisfaction
• Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing

Compensation & Benefits

• Salary based on location and experience - market rate
• Equity participation in a high-growth AI startup
• Comprehensive health, dental, and vision coverage
• Flexible PTO and professional development opportunities
• Remote-first culture with modern collaboration tools

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at .

Originally posted on [Employer]