Founding Sr. AI/ML Engineer

Averro Inc

  • Washington, PA
  • 3 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing)unmatched
    • CUDA (Compute Unified Device Architecture)unmatched
    • Category Developmentunmatched
    • Cloud Computingunmatched
    • Computer Engineeringunmatched
    • Computer Visionunmatched
    • Consultingunmatched
    • Customer Satisfactionunmatched
    • Decision Supportunmatched
    • Deep Learningunmatched
    • Diversityunmatched
    • Dockerunmatched
    • Electronicsunmatched
    • Embedded Systemsunmatched
    • Engineering Softwareunmatched
    • Equipment Maintenance/Repairunmatched
    • GCP (Good Clinical Practices)unmatched
    • Geographic Information Systems (GIS)unmatched
    • Gitunmatched
    • Industrial Roboticsunmatched
    • Internet of Thingsunmatched
    • Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR)unmatched
    • Linux Operating Systemunmatched
    • Machine Learningunmatched
    • Microsoft Windows Azureunmatched
    • Modeling Languagesunmatched
    • Multiplatform/Cross-Platformunmatched
    • Production Systemsunmatched
    • Python Programming/Scripting Languageunmatched
    • REST (Representational State Transfer)unmatched
    • Realtime Operating Systemunmatched
    • Safety Systemsunmatched
    • Software Engineeringunmatched
    • Strategic Planningunmatched
    • System Architectureunmatched
    • Systems Administration/Managementunmatched
    • Systems Engineeringunmatched
    • Technical Leadershipunmatched
    • Technical Recruitingunmatched
    • Time Managementunmatched
    • Unmanned Aircraft Systems (UAS)unmatched

    Description

    ROLE & RESPONSIBILITIES

    We are seeking a Principal/Founding AI Engineer for a confidential early-stage technology company building AI-driven platforms across three commercial verticals - autonomous engineering workflow automation, computer vision for industrial and field environments, and real-time AI safety inspection systems. This is a rare opportunity for a founding technical leader with experience in production AI, deep learning, and edge deployment looking to shape the architecture, strategy, and product direction of a company building category-defining AI technology.

    Architect AI systems across multiple product lines from concept through production deployment

    Design, train, and optimize deep learning and computer vision models for real-world commercial applications

    Build and maintain machine learning pipelines, model evaluation frameworks, and continuous learning infrastructure

    Develop agentic AI workflows and multi-agent systems supporting autonomous decision-making and task execution

    Design and optimize LLM and Vision Language Model (VLM) integrations across platform products

    Build edge AI deployments integrating AI models with embedded electronics and IoT devices in remote or industrial environments

    Develop APIs and inference services supporting scalable, production-grade AI delivery

    Evaluate emerging AI research and assess commercial applicability across the product portfolio

    Collaborate with software and hardware engineers to integrate AI capabilities into end-to-end product experiences

    Influence product architecture, technology selection, and future engineering hiring as a founding technical leader

    ESSENTIAL QUALIFICATIONS

    Strong hands-on experience in AI/ML engineering including deep learning, generative AI, agentic AI, and multi-agent systems

    Production computer vision experience including object detection, image classification, segmentation, object tracking, and pose estimation using frameworks such as YOLO, Faster R-CNN, DETR, or Vision Transformers

    Proficiency in PyTorch and/or TensorFlow with experience in model optimization, transfer learning, CUDA, ONNX, and TensorRT

    Strong Python and software engineering fundamentals including FastAPI, REST APIs, Docker, Git, and Linux

    Cloud infrastructure experience across AWS, Azure, or GCP with familiarity with Kubernetes, MLflow, or Weights & Biases

    Experience deploying AI to edge hardware such as NVIDIA Jetson, Raspberry Pi, ESP32, or embedded Linux environments

    Demonstrated track record of taking AI models from research through production in real-world applications

    Comfortable operating in an early-stage, high-autonomy startup environment with a builders mindset

    BONUS QUALIFICATIONS

    Experience with CAD systems, engineering software, digital twins, or autonomous systems

    Background in robotics, industrial automation, drone vision, or industrial inspection

    Familiarity with GIS, LiDAR, point clouds, or geospatial AI

    Experience with survey technologies, embedded systems, or IoT device integration

    Active engagement with current AI research - reading and applying papers to production systems

    WHY AVERRO?

    Averro is a Veteran-Owned organization dedicated to delivering innovative talent solutions, business consulting, and technology services that propel businesses and careers forward. We live by our ethos: Be Curious | Build Trust | Empower Each Other. These values show in our commitment to client satisfaction, timely support, and unmatched consultant care. Our Aim - Your Ascent.

    Averro is an equal opportunity employer, and we are committed to diversity, equity, and inclusion in the workplace. All qualified applicants will receive consideration for employment, regardless of criminal histories, consistent with legal obligations. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    View our privacy policy here: https://www.averro.com/legal/privacy-policy

    Numbers & Facts

    LocationWashington, PA

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