Senior Deep Learning Engineer

ZipRecruiter; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading tech company is looking for innovative Senior Deep Learning Engineers to optimize AI models for hardware integration. Ideal candidates are proficient in deep learning frameworks, with a strong background in programming and mathematics. Join the team to push the boundaries of AI technology in a remote capacity.

Qualifications

• 5+ years of experience with at least 2 years in deep learning.
• Experience with CNNs, LSTMs/RNNs, Transformers.
• Experience deploying neural networks in production.

Responsibilities

• Collaborate with hardware and software engineers to optimize neural networks.
• Build a model optimization pipeline.
• Identify and resolve functional/performance bottlenecks.

Skills

Deep learning frameworks (Tensorflow, PyTorch)

Strong math skills

Python proficiency

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's or PhD in Computer Science, Engineering, or related field

Tools

C/C++

CUDA/OpenGL

Job description

Job DescriptionJob Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.