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ManagerFull-timePythonMachine LearningPyTorchAI
Salary Range
$163,200 - $220,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Research Engineering Manager to lead a team of AI researchers and engineers at Perplexity. This role involves developing models that drive our products, focusing on agentic research, query understanding, and other domains requiring accuracy and depth.
Key Responsibilities
- →Lead a team of researchers and engineers focused on training state-of-the-art (SotA) models for Perplexity-relevant use cases.
- →Drive research and engineering efforts to develop production models through advanced model training and alignment techniques.
- →Become deeply familiar with the team’s technical stack, leading through hands-on technical contributions.
- →Own the data, training, and evaluation pipelines required to train and continuously improve LLM models.
- →Design and iterate on model training and fine-tuning algorithms, balancing scientific rigor and iteration velocity.
- →Design evaluations and improve the production model training pipeline to deliver models that balance speed and quality.
- →Work closely with engineering teams to integrate in-house models into products and iterate based on real-world usage.
- →Manage day-to-day execution, project planning, and prioritization for the model training team.
Requirements
- ✓Proven experience with large-scale LLMs and Deep Learning systems.
- ✓Strong Python and PyTorch skills; versatility across languages and frameworks is a plus.
- ✓Experience leading or managing research or engineering teams working on large-scale AI model development.
- ✓Self-starter with a willingness to take ownership of tasks and navigate ambiguity in a fast-moving environment.
- ✓Passion for tackling challenging problems in AI model quality, speed, safety, and reliability.
- ✓10+ years of technical experience, with at least 2 years as a manager and at least 4 years working on large-scale AI model development.
