Principal Engineer - Machine Learning
United States or Canada- Remote
Full Time Senior-level / Expert USD 183K - 255K
HackerOne
Reduce the risk of a security incident by working with the world’s largest community of trusted ethical hackers. HackerOne offers bug bounty, VDP, security assessments, attack surface management, and pentest solutions.HackerOne's mission is to empower the world to build a safer internet. HackerOne is the global leader in human-powered security. We leverage human ingenuity to pinpoint the most critical security flaws across your attack surface to outmatch cybercriminals. HackerOne’s Attack Resistance Platform combines creative human intelligence with the latest artificial intelligence to help organizations reduce risk and transform their businesses with confidence.
Position SummaryAs a principal engineer in the platform team you will develop a broad understanding of the current security landscape. Working with other senior engineers and subject matter experts you will apply your practical ML experience to tackle critical problems in computer security. Please join us in making the world safer.
A structured onboarding to get you up to speed in 90 days
Company and Tech onboarding in the first 30 days
Context and Stakeholder onboarding in 30-60 days
Fully productive after 90 days
Review HackerOne’s AI plans and suggest areas of improvement and additional investment
Contribute directly to the team’s velocity by writing code
Work with your Principal and Distinguished engineer colleagues on an ML roadmap
Mentor and coach other Engineers
10+ years experience building production software systems
Experience building, integrating and deploying ML models in production environments
Must be based remotely in US or Canada. HackerOne is a digital-first company. This model offers our employees flexibility in time and location. All employees must be able to work and excel in a remote environment.
Ruby/Rails experience
Experience with Computer Security from a red team and/or blue team perspective
Experience with ML Ops pipelines for continuous evaluation, improvement and deployment
Compensation Bands:
Tier Guide
Tier A: $215k-$255k
Tier B: $194k-$243k
Tier C: $183k-$229k
Canada: $200k-$250k CAD
#LI-HM1
We're committed to building a global team! For certain roles outside the United States, U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).
Employment at HackerOne is contingent on a background check.
HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
HackerOne Values
HackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of hackers. We are driven by our five core values. We recognize that our mission is bigger than us, and therefore act with integrity at all times. As a team, we believe that transparency builds trust so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.
Tags: CAD Excel Machine Learning ML models Pipelines Ruby Security
Perks/benefits: Career development
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