Member Of Technical Staff (Ml Engineer, Recommendations & User Modeling)
perplexity
San Francisco
AI
Job Score
80 pts
On-site model (+70)
AI (+10)
We are seeking experienced Machine Learning (ML) engineers with a passion for craftsmanship who can design, build, and optimize the recommendation systems that form the heart of Perplexity's core user experiences. Based in San Francisco, this technical staff position at Perplexity offers an innovative opportunity to contribute to AI products designed to guide people through their most significant decisions while delivering a deeply personalized experience reminiscent of having dedicated and attentive experts behind the scenes.
As we venture into reimagining recommendation systems for today's cutting-edge Large Language Models (LLM) era, Perplexity aspires to blend state-of-the-art LLM intelligence with personalized insights drawn from actual product usage and modern AI learning mechanisms. Our goal is the creation of intelligent recommendations that not only understand each user's context but also learn continuously by integrating historical interactions along with data sources related to their connections, thereby enhancing our ability to serve users better over time.
Perplexity stands apart in its commitment to quality and aesthetics—principles we uphold for both AI enthusiasts who are tech-native as well as those curious about the latest advancements in artificial intelligence technology, creating products that appeal broadly across user groups. In this collaborative environment steeped with entrepreneurial spirit and scholarship, you'll be encouraged to think like founders: define problems, design innovative solutions independently, then execute by bringing your creations live for the benefit of both colleagues and users alike.
As part of our team-oriented culture where we focus on giving generously towards each other’s growth—we believe in empowering one another through partnership to break down silos that might otherwise hinder innovation, knowledge acquisition, or product development progress within the company and beyond its walls. This role is not just about technical expertise; it's also an invitation into a unique community where you can contribute your skills for craftsmanship while growing alongside like-minded peers in entrepreneurship, scholarly pursuits of knowledge, and partnerships to further innovate within the realm of personalized AI.
This is more than just another technical staff position; it’s a role at Perplexity that marries expertise with an opportunity for impact—a chance not only to contribute your ML skills but also become integral part in shaping how we empower our users through tailored and intelligent recommendations, all while fostering personal growth alongside exceptional colleagues.
The ideal candidate should be:
- Proven experience as a Machine Learning Engineer or related field with expertise in designing, building, testing, optimizing ML systems
- Comfortable working within the San Francisco tech landscape and embracing our entrepreneurial mindset for innovation
- Experienced at integrating cutting edge LLM technologies into personalized recommendations system designs or improvements to existing models. This may include understanding, leveraging complex model architectures with large language capabilities
- A strong collaborator who is comfortable taking ownership of problems and solutions in a high performing team environment where continuous learning for both individuals & the company takes precedence
- Passionate about creating products that are not only technically sound but also visually appealing, maintaining Perplexity's focus on craftsms. This role may demand involvement with design elements beyond conventional ML engineering tasks
Benefits of joining our team include:
1) Opportunity to work at the forefront of AI and recommendation systems development in a fast-paced, innovative company culture
2) Exposure to
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