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2 месяца назад

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

150 000 - 300 000$
Формат работы
onsite
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: Redwood City, CA

Salary: $150K - $300K

Company

hirify.global empowers people to connect, learn and tell stories through interactive entertainment.

What you will do

  • Architect, build, and maintain highly scalable, resilient, and performant backend systems that power integrity and safety features.
  • Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating integrity risks, including those related to Generative AI.
  • Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges like content classification and anomaly detection.
  • Collaborate with product managers, data scientists, AI researchers, security teams, and operations to define requirements and deliver impactful integrity systems.
  • Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, focusing on Generative AI safety concerns.
  • Provide technical guidance and mentorship to other engineers.

Requirements

  • 8+ years of professional software engineering experience with a strong emphasis on backend systems development.
  • Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field.
  • Experience designing, building, and operating complex, large-scale, and highly available distributed systems.
  • Expertise in one or more backend programming languages such as Python, Go, Java, or C++.
  • Hands-on experience applying machine learning techniques to solve real-world problems, specifically addressing integrity, trust, or safety challenges.
  • Strong communication, interpersonal, and leadership skills.

Nice to have

  • Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.
  • Contributions to open-source projects or publications in relevant fields.
  • Experience leading large, cross-cutting technical projects.

Culture & Benefits

  • Value diversity and welcome applicants from all backgrounds.
  • Non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability.
  • Unique perspectives are vital to success.
  • Offers equity.

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