Remote Deep Learning Researcher – Autonomous Systems

Placements24; México; Hybrid; MXN 1,200,000 - 3,000,000; Full time

Benefits offered by this job

Stock options

Health insurance

Professional development

Remote-friendly

Global collaboration

Job summary

Placements24 seeks a visionary Investigador en Aprendizaje Profundo para Sistemas Autónomos to join their R&D team in a fully remote role. You will research, develop, and implement advanced neural networks for intelligent decision-making, perception, and control in autonomous systems.

You will publish findings, mentor junior researchers, and collaborate with a global team to push the boundaries of AI in real-time environments.

Qualifications

• PhD in Computer Science, AI, ML, Robotics, or related field with deep learning focus.
• Minimum of 5 years of deep learning research with publications in top conferences.
• Expert-level Python and deep learning frameworks (TensorFlow, PyTorch, JAX).
• Strong understanding of CNNs, RNNs, Transformers, GANs and their applications.
• Experience with large-scale data processing and distributed training.
• Strong math background in linear algebra, calculus, probability.

Responsibilities

• Conduct advanced deep learning research for autonomous systems.
• Design, implement, and train deep neural networks for perception, prediction, and control.
• Develop novel deep learning algorithms and architectures.
• Collaborate with engineers to integrate models into real-time systems.
• Analyze large datasets and validate models; publish findings.

Skills

Python

Deep learning

Research

Remote work

Team collaboration

Education

PhD in CS/AI/ML/Robotics

Tools

TensorFlow

PyTorch

JAX

Job description

Placements24 seeks a visionary Investigador en Aprendizaje Profundo para Sistemas Autónomos to join their R&D team in a fully remote role. You will research, develop, and implement advanced neural networks for intelligent decision-making, perception, and control in autonomous systems.

You will publish findings, mentor junior researchers, and collaborate with a global team to push the boundaries of AI in real-time environments.