Pytorch Engineer

AI company specializing in deep learning solutions with an innovative approach to team collaboration and problem-solving.
$100,000 - $150,000
Machine Learning
Mid-Level Software Engineer
Hybrid
11 - 50 Employees
3+ years of experience
AI

Description For Pytorch Engineer

Strong Compute is seeking a PyTorch Engineer to join their innovative AI team, focusing on groundbreaking deep learning projects. This role combines technical expertise in PyTorch with a unique collaborative environment featuring monthly Chess Hackathons. These events serve as a creative platform for problem-solving and strategy-building, drawing parallels between chess concepts and AI solutions.

The position offers a distinctive blend of technical challenges and community engagement, where engineers work on cutting-edge AI projects while participating in regular team events. The Chess Hackathons are more than just technical sessions; they're opportunities to connect with the user community, build team relationships, and test new ideas in a dynamic environment.

The ideal candidate will bring strong PyTorch expertise, particularly in tensor operations and model architectures, combined with a collaborative mindset. While deep technical skills are essential, the role equally values soft skills and strategic thinking. The company culture emphasizes continuous learning, innovative problem-solving, and team collaboration.

This is an excellent opportunity for a machine learning engineer who wants to work in an environment that values both technical excellence and creative problem-solving. The role offers competitive compensation and the chance to work with a team that approaches AI challenges with a unique perspective, using chess as a framework for strategic thinking and innovation.

Last updated a month ago

Requirements For Pytorch Engineer

Python
  • Proficient in Deep Learning with PyTorch and tensor operations
  • Experience with popular model architectures
  • Familiarity with VSCode and terminal operations
  • Understanding of mathematics and statistics
  • Knowledge of computer science fundamentals (hardware, algorithms, and networking)
  • Reliable computer and internet connection
  • Problem-solving and collaboration skills
  • Adaptability and resilience

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