AI Engineer

🔥 2 hours ago

🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote 🍑 Georgia – Remote

💵 $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Maneva

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🤖 Artificial Intelligence

🏭 Manufacturing

☁️ SaaS

Artificial Intelligence • Manufacturing • SaaS

Maneva is a technology company that specializes in automating manufacturing processes using advanced AI solutions. Their product offerings include AI-powered quality control systems for defect detection, automated monitoring of machinery, and intelligent workforce management. Maneva aims to enhance operational efficiency and reduce labor costs for manufacturers through seamless integration of its digital worker solutions into existing operations.

📋 Description

• Define technical strategy and architecture for vision models across detection, VLM, and VLA workloads • Train, fine-tune, and adapt models on proprietary data, including distillation, quantization, and LoRA-style adaptation • Build labeling, auto-labeling, active-learning, and synthetic or simulated-data pipelines • Design benchmarks, regression suites, failure-mode analyses, and online metrics tied to product outcomes • Ship models to production under latency, memory, and cost limits on cloud GPUs and edge hardware • Lead cross-team technical projects, write design documents, review code and models, and mentor engineers • Track the research frontier, evaluate potential technologies, and turn them into prototypes and products

🎯 Requirements

• 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, including training, tuning, and production deployment • Hands-on experience with VLMs, including fine-tuning, prompting, grounding, and evaluation • Experience with VLAs or embodied and robot-learning models, 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, including optimization, inference serving, monitoring, and iteration on real-world failures • Evidence of staff-level impact, including setting direction across teams and making build-versus-adopt decisions • Clear written and verbal communication with engineers, researchers, and product leaders • U.S.-person status or export authorization may be required for certain ITAR-subject projects

🏖️ Benefits

• Equity participation in a high-growth AI startup • Comprehensive health, dental, and vision coverage • Flexible PTO • Professional development opportunities • Remote-first culture with modern collaboration tools

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