AI Training Infrastructure Engineer - Post Training
Company: OptiRoi Media
Location: San Francisco
Posted on: May 21, 2025
Job Description:
Perplexity is seeking experienced AI Research Engineers and
Scientists to continue to improve our in-house Online LLMs, the
Sonar models. Your job is to work with the team and create a robust
and effective training framework (on top of Megatron/PyTorch),
especially for post-training LLMs.Responsibilities
- Build a post-training framework that can run cutting-edge model
training jobs at scale.
- Implement the necessary infrastructure and components to
support the latest models and algorithms like SFT, RL (DPO/GRPO),
and more.
- Own the full stack data, training, and evaluation pipelines
required to post-train LLM models.
- Work closely with engineering teams to integrate Sonar models
into our product.Qualifications
- Proven experience with large-scale LLM frameworks
building.
- Strong in Python/PyTorch; C++/CUDA is a plus.
- Self-starter with a willingness to take ownership of
tasks.
- Passion for tackling challenging problems.
- Minimum of 6 years of working on relevant projects.Bonus
- PhD in AI/ML/Systems or related areas.
- Experience building LLM training frameworks, especially
post-training.The cash compensation range for this role is $220,000
- $290,000.At Perplexity, we've experienced tremendous growth and
adoption since publicly launching the world's first fully
functional conversational answer engine in 2022. We've grown from
answering 2.5 million questions per day at the start of 2024 to
around 20 million daily queries in December 2024.Final offer
amounts are determined by multiple factors, including experience
and expertise, and may vary from the amounts listed above.Equity:
In addition to the base salary, equity is part of the total
compensation package.Benefits: Comprehensive health, dental, and
vision insurance for you and your dependents. Includes a 401(k)
plan.Apply for this job* indicates a required fieldFirst Name *Last
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Keywords: OptiRoi Media, Arden-Arcade , AI Training Infrastructure Engineer - Post Training, Engineering , San Francisco, California
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