Reinforcement Learning Engineer, Bugcrowd
Cybersecurity
$176.4-242.6k
Crowdsourced security platform
Be an early applicant
Crowdsourced security platform
1001+ employees
Be an early applicant
$176.4-242.6k
1001+ employees
Company mission
To meet you where you are in your security journey, enabling you to proactively keep your digital business one step ahead of cyberthreats.
Role
Who you are
- If you enjoy building high-performance systems that power cutting-edge AI research, this role is for you
- Reinforcement learning workflows
- Building clean, reproducible Linux ML environments (containers, MCP, etc)
- System security background in binary exploitation, such as buffer overflows, fuzzing, exploitation, and x86/64
- Experience developing applications in Python and C, with Rust a plus
- Understanding of RL training workflows used by modern LLM systems
- Experience with DevOps pipelines (e.g., github actions), reproducible builds (docker, buildkit, nix)
- Proficiency in Python and C. Other languages (especially Rust) are a plus
- Understanding of software vulnerabilities, fuzzing, or program analysis
- Experience with build systems and large open-source codebases
- Comfort working with Linux systems and low-level debugging
- Experience working with benchmark environments (CTFs, SWE-bench, security challenges, etc.) is a plus
- The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation
- Sitting and / or standing - Must be able to remain in a stationary position 50% of the time
- Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day
- Environment - remote, work-from-home 100% of the time
What the job involves
- The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic reinforcement learning environments for foundational model companies
- As a Reinforcement Learning Engineer you will advance the frontier of AI Reinforcement Learning development and delivery
- You will build the infrastructure and tooling that transforms real-world vulnerability research into large-scale reinforcement learning environments used to train next-generation AI systems
- This role is unique
- You will help create the training environments that teach AI systems how to hack and defend software
- Your work will directly influence the capabilities of the next generation of AI models
- Instead of building a single application, you will build the infrastructure that generates thousands of environments used to train frontier AI systems
- Our team works at the intersection of AI, security research, and systems engineering, building environments that allow models to learn skills such as vulnerability discovery, exploitation, and remediation
- This role focuses on building the systems that generate RL environments, not just the environments themselves
- You will design pipelines that ingest software projects, analyze them with Bugcrowd’s Mayhem platform, and automatically construct training environments used by frontier AI labs including Anthropic, OpenAI, and Cohere
Our take
Remote working has become a more permanent trend, resulting in new forms of cyberattack. Yet, most companies lack the resources and diversified skills to find hidden vulnerabilities before attackers do. Bugcrowd is setting out to fix this problem by connecting companies with “white hat hackers” who proactively search for vulnerabilities in a company’s system.
As the leading provider of crowdsourced cybersecurity solutions, the company’s ethical hackers prevented more than $27 billion in cybercrime between May 2020 - August 2021. The company has a number of high-profile customers, including Etsy, Tesla, Cisco, Pinterest and Twilio.
Bugcrowd has kept up this impressive momentum, raising considerable amounts of funding over the years. Its 2024 influx will empower the company to scale its platform, fuel innovation, and leverage strategic M&A opportunities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Nov 2024
$50m
LATE VC
Feb 2024
$102m
SERIES E
Total funding: $230.7m
Company benefits
- Medical/Dental/Vision Insurance
- 401(k)
- Stock Options
- Flexible Vacation Time
- Mental Health Days
- Pre-tax Commuter Benefits
Company HQ
Financial District, San Francisco, CA
Leadership
Casey Ellis
(Founder)Former CEO of Bugcrowd. Founder & previous Director of White Label Security. Current member of the CTI League, is on the Advisory Board at Flirtey, a Mentor at CyRise, and Principal at Tall Poppy Group.
Dave Gerry
(CEO)Has been with the company since 2020, as an Advisor then COO before becoming CEO in 2022. They are also a Member of the Forbes Business Development Council and former CRO of NTT Application Security.
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