Perplexity Logo

Perplexity

AI Inference Engineer

Reposted 11 Hours Ago
Easy Apply
In-Office
3 Locations
190K-250K Annually
Senior level
Easy Apply
In-Office
3 Locations
190K-250K Annually
Senior level
The AI Inference Engineer will develop APIs for AI inference, address performance bottlenecks, and implement model optimizations.
The summary above was generated by AI

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. 

We are looking for an AI Inference engineer to join our growing team. Our current stack is Python, Rust, C++, PyTorch, Triton, CUDA, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference.

Responsibilities

  • Develop APIs for AI inference that will be used by both internal and external customers
  • Benchmark and address bottlenecks throughout our inference stack
  • Improve the reliability and observability of our systems and respond to system outages
  • Explore novel research and implement LLM inference optimizations

Qualifications

  • Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
  • Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)
  • Understanding of GPU architectures or experience with GPU kernel programming using CUDA

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

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 may be 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++
Cuda
Kubernetes
Onnx
Python
PyTorch
Rust
TensorFlow
Triton

Similar Jobs

2 Days Ago
Easy Apply
In-Office or Remote
Ithaca, NY, USA
Easy Apply
140K-200K Annually
Mid level
140K-200K Annually
Mid level
Software
Collaborate with ML researchers and product managers to deploy and operate AI Voices, improving model performance and addressing issues.
Top Skills: DockerGCPInfrastructure As CodeKubernetesMl InferencePython
7 Days Ago
In-Office
2 Locations
160K-275K Annually
Junior
160K-275K Annually
Junior
Software
As an Applied AI Inference Engineer, you will develop AI applications, support customer implementation, and enhance ML projects using Python.
Top Skills: Python
4 Days Ago
Hybrid
5 Locations
193K-241K Annually
Mid level
193K-241K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
The Lead AI Engineer will develop and support AI software components, optimize AI performance, and lead collaborative product delivery efforts to enhance customer experiences.
Top Skills: AWSAzureGoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account