PRINCIPAL DEEP LEARNING ENGINEER

PRINCIPAL DEEP LEARNING SOFTWARE ENGINEER - GPU, CLOUD

$200-250K + BONUS, BENEFITS

Oregon, California, or Arizona

Starting out remote until offices open

• Must have 8+ yrs industry experience
• Must have worked on GPU's and cloud environment
• Must have led their own projects

THE ROLE:

As a Deep Learning Engineer, you will join an organization that invests heavily in technology and is a leader in the market. You will be responsible for building algorithms that optimize models, scaling and training the models, and interfacing with a range of customers and internal stakeholders to revolutionize technology.

RESPONSIBILITIES:

• Work closely with non-technical stakeholders to drive data-driven transformation internally
• Develop Deep Learning models & frameworks to address core business problems and create actionable insights
• Maintain and develop code-bases, ensuring that pipelines, models and code are deployable
• Solve business problems across personalization, recommendation, & NLP

YOUR SKILLS AND EXPERIENCE:

As a Deep Learning Engineer you will have the following skills:

• Demonstrated experience in tuning AI training workloads on heterogeneous (CPU-GPU) cluster environment/cloud looking into scalability, performance aspects.
• Knowledge of any of the following optimization techniques - quantization, neural net compression (pruning, factorization, knowledge distillation), and/or neural architecture search (NAS)
• Knowledge of Deep Learning workflows/development, specifically NLP, recommendations, image classification (convolutional neural networks or CNN's)
• Python is a must
• DL frameworks like PyTorch, TensorFlow
• Experience with Deep Learning frameworks within the industry
• Knowledge of underlying hardware architecture (CPU, GPU etc)

THE BENEFITS:

• Competitive base salary with equity, bonus, full benefits
• Flexible to work remotely full time

HOW TO APPLY:

Please register your interest by sending your CV to Hillary Tran via the Apply link on this page.