ZipRecruiter

Log In

1

From Home Bot Detection Jobs in Spring, TX (NOW HIRING)

next page

Showing results 1-20

All JobsBot Detection JobsFrom Home Bot Detection JobsFrom Home Bot Detection Jobs in Spring, TX

From Home Bot Detection information

What is the difference between From Home Bot Detection vs Customer Support Specialist?

AspectFrom Home Bot DetectionCustomer Support Specialist
Required CredentialsTechnical knowledge, certifications in cybersecurity or fraud detectionCommunication skills, customer service training
Work EnvironmentRemote, technical, analyticalRemote or on-site, customer-facing
Industry UsageFinance, e-commerce, tech companiesRetail, telecom, service industries
Common Search/ComparisonFocuses on fraud detection, automation, securityFocuses on customer interaction, issue resolution

From Home Bot Detection primarily involves analyzing online activity to identify fraudulent bots, requiring technical skills and cybersecurity knowledge. Customer Support Specialists handle direct customer interactions, providing assistance and resolving issues. While both roles can be remote, their core functions and skill sets differ significantly, making them distinct career paths within the same industry.

What are popular job titles related to From Home Bot Detection jobs in Spring, TX?

For From Home Bot Detection jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching From Home Bot Detection jobs in Spring, TX look for?

The top searched job categories for From Home Bot Detection jobs in Spring, TX are:

From Home Bot Detection jobs near you

Senior Algorithm Engineer, Deep Learning & Vision

Bot Auto

Houston, TX

$99K - $137K/yr

Full-time

Posted 24 days ago

Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
  • Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
  • Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
QualificationsRequired: 
  • Have an advanced degree (Ph.D or Master's) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
  • Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
  • Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
  • Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred: 
  • Have a proven track record of research publications in top conferences and/or journals as the first author.
  • Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.

Apply