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Bot Detection Software Jobs in California (NOW HIRING)

About the Role Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of ... Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake ...

Data Science Engineer, Payment Risk

San Jose, CA · Remote

$134K - $161K/yr

This will allow you to block BOT attacks and prevent fraudulent transactions. You'll balance the ... You will help define payment risk policies and build programs that prevent, detect, identify and ...

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Bot Detection Software information

What is the difference between Bot Detection Software vs CAPTCHA Specialist?

FeatureBot Detection SoftwareCAPTCHA Specialist
Primary RoleDevelops and implements tools to identify and block automated botsDesigns and tests CAPTCHA systems to differentiate humans from bots
Required SkillsProgramming, cybersecurity, machine learningUI/UX design, security protocols, testing
Work EnvironmentTech companies, cybersecurity firms, online platformsWeb development teams, security departments
Industry UsageUsed across e-commerce, social media, online servicesImplemented in websites, login pages, online forms

While both roles focus on combating automated threats, Bot Detection Software involves creating advanced detection tools, whereas CAPTCHA Specialists focus on designing challenge-response systems to prevent bots. Both are essential in maintaining online security but differ in scope and technical approach.

What job categories do people searching Bot Detection Software jobs in California look for? The top searched job categories for Bot Detection Software jobs in California are:
What cities in California are hiring for Bot Detection Software jobs? Cities in California with the most Bot Detection Software job openings:
Software Engineer, Trust & Safety

Software Engineer, Trust & Safety

SUNO

San Francisco, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it's incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of protecting our platform and users from abuse, fraud, and harmful behaviors / content. Your work will directly impact user safety and platform integrity, making it a more trustworthy place for our community.
Check out our Suno version of the job here!
What You'll Do
  • Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster
  • Design and implement anomaly detection systems to identify suspicious patterns in user behavior and platform activity
  • Develop internal tools and dashboards for Trust & Safety operations and investigations
  • Help improve detection algorithms and reduce false positives
  • Build automated systems for content moderation, user verification, and abuse prevention
  • Analyze large datasets in Snowflake to uncover new attack vectors and improve existing detection methods
  • Work closely with product and engineering teams to implement Trust & Safety features at scale
  • Help finance teams reduce fraudulent transactions and chargebacks by identifying and preventing payment abuse
What You'll Need
  • 3+ years of experience in Trust & Safety, fraud detection, or content moderation
  • Strong Python and SQL skills (5+ years preferred)
  • Experience with data engineering tools and pipelines (Dagster, Airflow, or similar)
  • Proficiency with SQL and data analysis (Snowflake experience preferred)
  • Experience building internal tools and dashboards for operational teams
  • Understanding of statistical analysis and anomaly detection techniques
  • Experience with real-time systems and event-driven architectures
  • Strong problem-solving skills and attention to detail
  • Knowledge of anti-abuse techniques, bot detection, and content moderation systems
  • Bachelor's degree or equivalent required.
Nice to Have
  • Experience with machine learning pipelines and model deployment
  • Background in cybersecurity or anti-fraud systems
  • Knowledge of behavioral analytics and user journey analysis
  • Experience with A/B testing and experimentation in Trust & Safety
Additional Notes
Applicants must be eligible to work in the US.
Perks & Benefits for Full-Time Employees
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.