Remote Senior Deep Learning Engineer

Placements24; Richards Bay; Hybrid; ZAR 1,990,000 - 2,985,000; Full time

Benefits offered by this job

Equity options

Full remote work

Health, dental, vision insurance

Job summary

Placements24 is seeking a Senior Deep Learning Engineer to join their fully remote team and drive breakthroughs in AI. You will design, implement, and optimize deep learning models for diverse applications, collaborating with research scientists and engineers across time zones.

The role emphasizes research, development, and scalable training/inference pipelines, with a focus on state-of-the-art results and production-ready code.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on deep learning.
• 5+ years of professional experience in deep learning research and development.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong proficiency in Python and experience with libraries for scientific computing and data analysis.
• Proven ability to work effectively in a remote, self-directed environment.

Responsibilities

• Design, develop, and optimize deep learning models for applications including computer vision and NLP.
• Implement and fine-tune neural network architectures for performance and efficiency.
• Conduct experiments, analyze results, and iterate on models for state-of-the-art performance.
• Collaborate with research scientists and engineers to translate breakthroughs into production-ready code.
• Develop and maintain scalable deep learning training and inference pipelines.
• Stay current with the latest advancements in deep learning research and methodologies.

Skills

Deep learning

TensorFlow

PyTorch

Python

Research to production

Education

Master's or PhD in CS/EE

Tools

JAX

NumPy

SciPy

Job description

About the Role

Our client is seeking an exceptional Senior Deep Learning Engineer to join their fully remote team, contributing to groundbreaking advancements in artificial intelligence. This role is for an individual passionate about pushing the limits of deep learning models and applying them to solve complex challenges. You will work independently and collaboratively within a distributed team, focusing on research, development, and implementation of cutting-edge deep learning solutions. This is an ideal position for a seasoned engineer who thrives in a remote setting and is dedicated to innovation in the AI space, working on projects that have a significant global impact.

Key Responsibilities

• Design, develop, and optimize deep learning models for various applications, including computer vision and natural language processing.
• Implement and fine-tune neural network architectures for maximum performance and efficiency.
• Conduct experiments, analyze results, and iterate on models to achieve state-of-the-art performance.
• Collaborate with research scientists and engineers to translate research breakthroughs into production-ready code.
• Develop and maintain scalable deep learning training and inference pipelines.
• Stay current with the latest advancements in deep learning research and methodologies.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on deep learning.
• 5+ years of professional experience in deep learning research and development.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong proficiency in Python and experience with libraries for scientific computing and data analysis.
• Solid understanding of machine learning theory, statistical modeling, and data structures.
• Proven ability to work effectively in a remote, self-directed environment.

Benefits

• Highly competitive compensation package with equity options.
• Full remote work flexibility, allowing you to work from anywhere.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for home office setup and professional development.
• Opportunity to work on challenging and impactful AI projects.
• A culture that values autonomy, innovation, and continuous learning.