At favorited, we believe that digital communities should be more than just spaces to watch content. With backing by a16z and other heavy hitters in the tech and entertainment space, we’re redefining mobile live-streaming as a fully interactive, gamified experience. Our platform is a place to connect, engage, and play, and empowers creators by enhancing audience participation, fostering deeper connections, and ensuring that creators are compensated fairly for their work.
Our work culture is intense and isn’t for everyone. But if you are a self starter who wants to build the future of social interaction alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
We are looking for an engineer to join our trust and safety team at favorited. Ideally, you have experience in the live-streaming space and are knowledgable about machine learning systems, safety-by-design, and privacy-by-design practices.
Responsibilities:
Design and develop trust and safety features for our live-streaming platform, ensuring a secure and enjoyable experience for all users.
Build safety tooling, including moderation tools, user-reporting systems, and automated enforcement systems, leveraging React and TypeScript.
Develop machine learning and automation-based safety systems to detect, prevent, and address harmful content or behavior on the platform.
Utilize PostgreSQL and BigQuery to analyze user behavior, detect trends, and improve moderation efficiency.
Leverage Python-based data science tools to develop risk detection models and improve platform-wide safety monitoring.
Design and implement threat models to proactively identify security and safety risks.
Collaborate with cross-functional teams to create scalable and efficient solutions for real-time content moderation and enforcement.
Stay updated on safety and compliance regulations, ensuring the platform meets legal and ethical standards globally.
If you are passionate about building safe and engaging online communities, and enjoy designing and developing systems that protect users and foster trust you will be perfect for this role on the favorited team. Ideally, you thrive in a fast-paced, collaborative environment where your work makes a direct impact.
Minimum Requirements:
3+ years of experience in software engineering, with a focus on trust and safety, security, or privacy.
Proficiency in React, TypeScript, and familiarity with backend systems and APIs.
Strong experience with PostgreSQL and BigQuery for data processing and reporting.
Proficiency in Python-based data science tools such as Pandas, NumPy, or Scikit-learn.
Experience in developing or integrating machine learning tools for content safety and moderation.
Expertise in designing and implementing threat models to proactively mitigate risks.
Familiarity with GDPR, CCPA, and other safety and privacy regulations.
Excellent problem-solving skills, with an emphasis on creating user-first safety solutions.
A passion for fostering a positive and secure user environment.
Compensation: $120k - $150k
Benefits Include:
Unlimited PTO to prioritize work-life balance.
401(k) plan to invest in your future.
Comprehensive health insurance to support your well-being.
Paid company holidays for time to recharge.
Competitive salary that values your expertise and contributions.
Where You’ll Work: This is a full time on-site position in Santa Monica.
To apply, skip the cover letter. Submit your resume and share a project you've worked on that shows your experience. You can email this to mehak@favorited.com .
favorited is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Employees may be eligible for family and medical leave under the California Family Rights Act (CFRA) or Pregnancy Disability Leave (PDL)
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In compliance with the California Equal Pay Act, the salary range for this position is provided above. Actual compensation may vary based on experience, qualifications, and location.
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