Perplexity
AI Research Engineer - Post Training
Perplexity, San Francisco, California, United States, 94199
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AI Research Engineer - Post Training
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Perplexity
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking top level AI Research Engineers to continue to improve our in house Online LLMs, the Sonar models. Your job is to take advantage of our rich query/answer dataset to continue to scale our Sonar model performance and provide the SOTA Online LLM experience to our users. Responsibilities include post-training SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques, owning the full stack data, training, and evaluation pipelines required to post-train LLM models, delivering Sonar models that provide SOTA query answering, and working closely with engineering teams to integrate Sonar models into our product. Qualifications include proven experience with large-scale LLMs and Deep Learning systems, strong programming skills, being a self-starter with a willingness to take ownership of tasks, passion for tackling challenging problems, and a minimum of 2 years of relevant project experience. Nice-to-have qualifications include a PhD in Machine Learning or related areas and experience in post-training LLMs with SFT/DPO/GRPO.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
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AI Research Engineer - Post Training
role at
Perplexity
Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking top level AI Research Engineers to continue to improve our in house Online LLMs, the Sonar models. Your job is to take advantage of our rich query/answer dataset to continue to scale our Sonar model performance and provide the SOTA Online LLM experience to our users. Responsibilities include post-training SOTA LLMs on query answering by using the latest in supervised and reinforcement learning techniques, owning the full stack data, training, and evaluation pipelines required to post-train LLM models, delivering Sonar models that provide SOTA query answering, and working closely with engineering teams to integrate Sonar models into our product. Qualifications include proven experience with large-scale LLMs and Deep Learning systems, strong programming skills, being a self-starter with a willingness to take ownership of tasks, passion for tackling challenging problems, and a minimum of 2 years of relevant project experience. Nice-to-have qualifications include a PhD in Machine Learning or related areas and experience in post-training LLMs with SFT/DPO/GRPO.
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr