Senior Research Scientist - Deep Learning

Palo Alto, CA
Engineering
Full-time
Gatik is a team of AV researchers and engineers with domain expertise in AI, robotics and computer vision. Founded by graduates and former researchers from Carnegie Mellon Robotics Institute, we are building new concepts & groundbreaking solutions for autonomous vehicles.

We aim to power the next generation of self-driving commercial fleet for urban logistics. We’re looking for top talent that shares our passion and wants to be part of a fast moving execution-oriented team. If you’re a software engineer or a researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

Responsibilities

    • Use applied machine learning e.g., supervised methods like logistic regression, SVMs, random forests, deep learning & reinforcement learning and also semi-supervised & active learning approaches
    • Develop scalable training and evaluation tools and infrastructure
    • Analyze point cloud and radar raw sensor data and apply machine learning technologies
    • Build and own production models, pipelines, and runtimes

Qualifications

    • Master's or Ph.D. degree in CS or related field
    • Skilled software developer with experience in C/C++ and/or Python
    • Familiarity with one or more neural network frameworks, such as Tensorflow, Caffe & Torch
    • Strong quantitative background
    • 4+ years of experience in deep learning, machine learning, or computer vision
    • Extensive experience with sensor data processing, environment modeling, large-scale point-cloud processing, or machine learning
    • Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN, GAN, etc.)

Bonus Points

    • Track record of building and shipping machine learning features in products
    • Experience in software design for safety-critical systems
    • Strong understanding of recent advancements in deep learning research
    • Demonstrated academic or industry experience in developing novel deep learning models
    • Deep understanding of GPU architecture
    • Experience with distributed computing (MapReduce, Flume, etc)

Benefits

    • Competitive salaries, generous equity, and benefits including 401K, medical, dental & vision
    • Regularly scheduled on and off-site team building activities
    • Free catered lunches, snacks, and drinks
    • Start-up environment where you’ll help shape the culture and have a huge impact
    • Work on innovative products and challenging problems with some amazingly talented (and fun) people
    • Be at ground zero of the AV revolution!