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Bot Detection Jobs in California (NOW HIRING)

Mytra

Senior ML Perception Engineer

Brisbane, CA · On-site

$125K - $172K/yr

This is a hands-on role that spans the full problem: the models that let our robots detect pallet ... Own the vision data engine end to end: ETL pipelines that ingest on-bot and rollbot logs, route ...

Suno

Software Engineer, Trust & Safety

San Francisco, CA · On-site

$228K - $363K/yr

Build systems, data pipelines to observe, measure, detect, and enforce against Trust and Safety violations (legal compliance, content safety, fraud, bot, abuse, impersonation, etc.) * Build tools and ...

Exa

Software Engineer, Web Crawling

San Francisco, CA · On-site

$180K - $350K/yr

Design systems to detect and handle dynamic content, JavaScript rendering, and anti-bot measures * Create intelligent crawl scheduling and prioritization algorithms for maximum coverage efficiency ...

Hobbsnews

Senior Data Scientist

Sunnyvale, CA · On-site

... bot. In addition, will use his/her knowledge of network communication, machine learning and ... detect anomalies, predict problems, provide Root Cause Analysis (RCA) and classify them in real ...

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All JobsBot Detection JobsBot Detection Jobs in California

Bot Detection information

What is a bot detection?

A Bot Detection job involves identifying and mitigating automated bots that engage in fraudulent, malicious, or non-human activities on digital platforms. Professionals in this role use data analysis, machine learning, and behavior-based techniques to differentiate between real users and bots. Their work helps prevent fraud, enhance cybersecurity, and protect businesses from automated threats like account takeovers, spam, and scraping.

What are some common challenges faced by professionals working in bot detection roles?

Professionals in Bot Detection roles often face the challenge of keeping up with rapidly evolving attack techniques, as cybercriminals continually develop more sophisticated bots to bypass defenses. Staying ahead requires continuous learning, close monitoring of traffic patterns, and swift adaptation of detection strategies. Additionally, balancing the effective blocking of malicious bots while minimizing false positives that could impact real users is a critical aspect of the job. These challenges make the work dynamic and intellectually engaging, and successful bot detection specialists are those who enjoy problem-solving and adapting to new threats.

What are the key skills and qualifications needed to thrive in the bot detection position, and why are they important?

To thrive in Bot Detection, a strong background in cybersecurity, data analysis, and knowledge of machine learning or statistical modeling is essential, typically supported by a degree in computer science, information security, or a related field. Experience with tools such as SIEM platforms, bot mitigation software, scripting languages (like Python), and relevant certifications (e.g., CEH, CISSP) is often preferred. Analytical thinking, attention to detail, and effective communication skills are highly valued soft skills in this role. These abilities are important to identify and respond to sophisticated automated threats, safeguard digital environments, and collaborate effectively with cross-functional security teams.

What are the most commonly searched types of Bot Detection jobs in California?

The most popular types of Bot Detection jobs in California are:

What are popular job titles related to Bot Detection jobs in California?

For Bot Detection jobs in California, the most frequently searched job titles are:

What job categories do people searching Bot Detection jobs in California look for?

The top searched job categories for Bot Detection jobs in California are:

What cities in California are hiring for Bot Detection jobs?

Cities in California with the most Bot Detection job openings:

Bot Detection jobs near you
Infographic showing various Bot Detection job openings in California as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 6% Hybrid, and 22% Remote job distribution.

Senior Algorithm Engineer, Deep Learning & Vision

San Francisco, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$123K - $169K/yr

Other

Re-posted 7 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.


Qualifications
Required:

  • 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.

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