Роль четко определена с акцентом на бэкенд-системы и прикладное машинное обучение, но широкий диапазон зарплаты может вызвать неопределенность в ожиданиях по компенсации.
Широкий диапазон зарплаты
Сильный технический акцент
Стартап-среда
Ценится разнообразие
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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