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Software Engineer, Backend/Applied ML (Safety & Integrity)

150 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Backend/Applied ML (Safety & Integrity): Designing, developing, and scaling robust backend systems, leveraging applied machine learning to tackle critical integrity and safety challenges with an accent on addressing unique safety challenges related to human-to-AI interaction. Focus on providing technical leadership, driving innovation, and contributing to the core of our platform's trustworthiness.

Location: Hybrid in Redwood City, California, United States

Salary: $150,000–$300,000 per year plus equity

Company

Character.AI develops interactive entertainment and consumer AI products that enable people to connect, learn, and tell stories.

What you will do

  • Design, build, and operate scalable, resilient backend systems for integrity and safety features.
  • Develop systems that detect, prevent, and mitigate content risks, spam, misuse of generative models, and harmful or biased content.
  • Apply machine learning to content classification, anomaly detection, risk scoring, behavior analysis, filtering, bias mitigation, and output monitoring.
  • Collaborate with product managers, data scientists, AI researchers, security teams, and operations to deliver Generative AI safety solutions.
  • Drive the technical vision and roadmap for backend integrity platforms and applied ML capabilities.
  • Mentor engineers and improve system performance, reliability, scalability, and cost-effectiveness.

Requirements

  • 8+ years of professional software engineering experience, primarily in backend systems development.
  • Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related technical field.
  • Experience designing, building, and operating complex, large-scale, highly available distributed systems.
  • Expertise in one or more of Python, Go, Java, or C++.
  • Hands-on experience applying machine learning to real-world integrity, trust, or safety challenges.
  • Strong understanding of the ML lifecycle, technical problem-solving, communication, and leadership.

Nice to have

  • Experience on a dedicated Trust & Safety, Integrity, or Risk engineering team.
  • Open-source contributions or publications in relevant fields.
  • Experience leading large, cross-cutting technical projects.

Culture & Benefits

  • Health coverage for employees and families with most premiums covered.
  • Generous 401(k) contribution and up to 20 weeks of paid parental leave.
  • Four weeks of paid time off.
  • Daily in-office catering, monthly DoorDash stipend, and monthly wellness stipend.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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