Investigador en Aprendizaje Profundo para Sistemas Autónomos

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

About the Role

Our client is seeking a visionary Investigador en Aprendizaje Profundo para Sistemas Autónomos to join their cutting‑edge R&D team, operating on a fully remote basis. This role is pivotal in advancing the capabilities of autonomous systems through the application of state‑of‑the‑art deep learning techniques. You will be instrumental in researching, developing, and implementing novel neural network architectures and algorithms that enable intelligent decision‑making, perception, and control. We are looking for individuals with a profound understanding of deep learning theory and practical experience in building high‑performance AI models. This fully remote position offers the unique opportunity to work on groundbreaking technology, collaborate with world‑class researchers and engineers, and shape the future of autonomous technology from anywhere.

Key Responsibilities

• Conduct advanced research in deep learning for applications in autonomous systems (e.g., robotics, self‑driving vehicles, drones).
• Design, implement, and train deep neural network models for tasks such as perception, prediction, and control.
• Develop and optimize novel deep learning algorithms and architectures.
• Collaborate with hardware and software engineers to integrate deep learning models into real‑time systems.
• Analyze large‑scale datasets, including sensor data, to train and validate models.
• Stay at the forefront of deep learning research, publishing findings and contributing to the scientific community.
• Evaluate model performance, identify limitations, and propose solutions for improvement.
• Develop robust testing and validation methodologies for autonomous systems.
• Mentor junior researchers and contribute to the team's technical growth.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field with a strong focus on deep learning.
• Minimum of 5 years of research experience in deep learning, with a proven track record of publications in top‑tier conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR).
• Expert‑level proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Deep understanding of various neural network architectures (CNNs, RNNs, Transformers, GANs) and their applications.
• Experience with large‑scale data processing and distributed training.
• Strong mathematical background, particularly in linear algebra, calculus, and probability.
• Excellent problem‑solving skills and the ability to work independently in a remote setting.
• Superb communication and collaboration skills for effective remote teamwork.
• Experience with simulation environments and real‑world data from autonomous systems is a significant plus.

Benefits

• This fully remote position offers a highly competitive salary and an attractive stock option package.
• Our client provides comprehensive health, dental, and vision insurance, along with a generous retirement savings plan.
• We support continuous professional development through access to online courses, conferences, and research grants.
• The opportunity to work on truly groundbreaking technology with a globally distributed team of experts is a primary benefit.
• We foster a culture of innovation, autonomy, and intellectual curiosity.
• Employees benefit from a flexible work schedule and the ability to work from anywhere.
• Our client is dedicated to building a diverse and inclusive team, providing equal opportunities for all.
• We offer the chance to publish research and make a significant impact on the field of AI and autonomous systems.
• Advanced computational resources are readily available.