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Bot Auto

Intern, Deep Learning Engineer

2 months ago
Bot Auto · Houston, TX
On-siteFull-timePython · TensorFlow
Blue River Technology

Principal RL Engineer, E2E Autonomy

2 months ago
Blue River Technology · Santa Clara, CA
On-siteFull-timePython · TensorFlow
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  • Bot Auto

    Intern, Deep Learning Engineer

    Bot Auto · 🇺🇸 Houston, TX · posted 2 months ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    On-site
    Stack
    Python, TensorFlow, PyTorch
    About Bot Auto →

    The full posting

    About Bot Auto

    Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle real-world edge cases.

    Key Responsibilities

    • SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model).
    • Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship.
    • Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets.

    Qualifications

    Required:

    • Education: Current Master’s or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields.
    • Technical Stack: Proficient in Python and PyTorch with clean coding practices.
    • Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields.
    • Commitment: Available full-time for at least 3 months.

    Preferred:

    • Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving.
    • Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA).
    • Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.