Perplexity Logo

Perplexity

AI Systems Engineer

Posted 19 Days Ago
Be an Early Applicant
7 Locations
Mid level
7 Locations
Mid level
Develop and deploy machine learning models, create APIs for AI inference, improve system reliability, and manage infrastructure efficiently.
The summary above was generated by AI

You will help build large-scale deployment of machine learning models for both research and inference.

Our current stack is Python, C++, TensorRT-LLM, Kubernetes.

Responsibilities

  • Develop APIs for AI inference that will be used by both internal and external customers
  • Help set up our infrastructure and deploy efficiently and reliably.
  • Benchmark and reduce bottlenecks throughout our inference stack
  • Improve the reliability and observability of our systems and respond to system outages

Qualifications

  • Experience with ML systems and some deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
  • High level familiarity with LLM architecture, and the key pieces (Multi-Head, Multi/Grouped-Query, as well as common Layers)
  • Experience with deploying reliable, distributed, real-time systems at scale

The cash compensation range for this role is $190,000 - $250,000.

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. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers.

To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started.

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.


Top Skills

C++
Kubernetes
Onnx
Python
PyTorch
TensorFlow
Tensorrt-Llm

Similar Jobs

Senior level
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Design and develop AI models and algorithms in C++ for camera systems. Focus on performance optimization, real-time video analysis, and collaborating with AI/ML engineers.
Top Skills: Azure DevopsC++GitLinuxOnnx RuntimeOpencvPythonPyTorchTensorFlow
Senior level
Artificial Intelligence • Information Technology • Machine Learning
Design and develop backend systems for large-scale AI workflows. Enhance data infrastructure, drive engineering excellence, and mentor junior engineers.
Top Skills: Google Cloud PlatformGraphQLJavaKafkaKubernetesMySQLNode.jsPostgresPubsubPythonTypescript
2 Months Ago
Ottawa, ON, CAN
Senior level
Senior level
Digital Media • Software • Analytics
Lead the design and implementation of AI-driven automation solutions to enhance productivity and efficiency at SurveyMonkey while mentoring junior engineers and partnering with stakeholders for strategic alignment.
Top Skills: APIsAWSAzureChatgptGCPNetSuiteNlp ModelsPythonSalesforceSharepointSQLTableauUipath

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account