Latent AI Logo

Latent AI

AI/ML Engineer (Computer Vision & Robotics)

Posted 4 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Develop, optimize, and deploy production-grade computer vision and deep learning models for real-time perception and navigation on edge hardware. Integrate AI systems with robots, drones, unmanned systems, and swarms while optimizing inference with CUDA and TensorRT. Manage containerized deployments using Docker and Kubernetes, contribute to CI/CD and automated testing, and transition research prototypes into reliable production features.
The summary above was generated by AI
Who we are

At Latent AI, we are pushing the boundaries of edge computing and artificial intelligence. We specialize in bringing high-performance, low-latency AI to the edge, enabling real-time decision-making in autonomous systems and robotics. We are looking for a passionate and driven AI/ML Engineer to join our team and help us build the next generation of intelligent, physical AI systems.


Who we're looking for

We are seeking an AI/ML Engineer with a strong background in computer vision and robotics. In this role, you will be responsible for building, optimizing, and deploying production-grade machine learning systems directly onto edge hardware. You will sit at the intersection of deep learning and robotics, ensuring that our real-time detection models operate with ultra-low latency during high-speed field operations.

If you are obsessed with inference optimization, edge deployments, and making robots smarter, we want to hear from you.

What you’ll do
  • Model Development: Design, train, and deploy deep learning models for computer vision using PyTorch, focusing on real-time object detection and spatial awareness.
  • Inference Optimization: Maximize model inference speed and guarantee low-latency performance on edge hardware utilizing CUDA and TensorRT.
  • Robotics Integration: Seamlessly integrate advanced computer vision models for perception and navigation for robots, drones, unmanned systems, swarms, etc.
  • Edge Deployment: Manage, scale, and maintain containerized edge deployments across distributed hardware using Docker and Kubernetes.
  • Performance Engineering: Drive automated data insights and high-performance edge computing initiatives to deliver measurable accuracy gains and operational efficiency in complex, high-speed field environments.
    How we decide

    An ideal candidate will be someone with;

    • Technical depth in ML/AI with a preference for computer vision and robotics. Preference on experience in modality including EO/IR, Acoustic / SONAR, RF / SAR.
    • Proven contributions, whether in industry or academia, that moved innovative ideas closer to product. 3-5 years industry experience
    • Hands-on execution: the ability to design, build, and ship, not just theorize.
    • Collaborative independence: you’re comfortable making autonomous progress, but you thrive in a team environment.
    • Growth mindset: curiosity, adaptability, and willingness to learn new approaches and tools.
    • Are fluent in Python and modern ML frameworks like PyTorch; familiarity with agentic AI frameworks is a bonus.
    • Know your way around CI/CD, automated testing, and documentation, and care about building robust systems.
    • Have some familiarity with data science front-end/UI workflows to support quick demonstrations (streamlit, dash, gradio).
    • Have a track record of driving innovation from research or prototypes into production ready features or products


    Location and Benefits
    • US Citizen requirement due to nature of our projects.
    • Candidates based in NJ or Washington DC preferred, remote/hybrid possible.
    • We offer health, vision & dental benefits, a 401(k) plan.

    Similar Jobs

    9 Minutes Ago
    Remote or Hybrid
    45K-85K Annually
    Junior
    45K-85K Annually
    Junior
    Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
    Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid training and licensing support, requires a flexible weekday and weekend schedule, and is performed remotely with employer-provided equipment and specified high-speed internet requirements.
    Top Skills: Cable/Fiber/Dsl InternetPcWired High-Speed Internet
    An Hour Ago
    In-Office or Remote
    Entry level
    Entry level
    Cloud • Information Technology • Productivity • Security • Software • App development • Automation
    Build and ship high-quality frontend software from technical design through launch. Develop efficient, scalable, testable client code; collaborate with engineering, design, and product teams to solve customer problems; contribute to code reviews and documentation; and resolve complex bugs while delivering intuitive product experiences.
    An Hour Ago
    In-Office or Remote
    2 Locations
    140K-220K Annually
    Senior level
    140K-220K Annually
    Senior level
    Cloud • Information Technology • Productivity • Security • Software • App development • Automation
    Partners with sales teams to support mid-market customers throughout the pre-sales cycle. Conducts discovery, identifies business problems, maps needs to Atlassian products, leads customized value-based demonstrations, guides technical decisions, expands cross-product opportunities, and builds executive relationships. Tracks customer feedback and competitive intelligence, collaborates with product management, and continuously develops product, solution, platform, and sales expertise.
    Top Skills: Artificial IntelligenceAtlassian ProductsAtlassian SoftwareCloud Computing

    What you need to know about the Austin Tech Scene

    Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

    Key Facts About Austin Tech

    • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
    • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
    • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
    • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
    • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account