Investigador Principal en IA y Aprendizaje Automático

Placements24; Mexico; Hybrid; PHP 7,638,000 - 12,094,000; Full time

Benefits offered by this job

High salary

Bonus potential

Development budget

Hybrid environment

Global recognition

Career advancement

Collaborative culture

Job summary

Placements24 seeks an exceptional Investigador Principal en IA y Aprendizaje Automático to join its research division in Mexico City. This senior role requires a proven track record of groundbreaking AI research and the ability to lead complex projects shaping the field.

You will develop novel ML algorithms, publish in top venues, and mentor junior researchers, while benefiting from a dynamic, hybrid work environment with collaboration among world-class researchers.

Qualifications

• PhD in CS/AI/ML or related field.
• Extensive research experience with strong publication record.
• Deep theoretical and practical ML knowledge.
• Proficiency in Python and ML frameworks.

Responsibilities

• Lead and conduct cutting-edge research in AI/ML (deep learning, RL, generative models).
• Develop novel algorithms to solve complex real-world problems.
• Design and run experiments, analyze results, draw conclusions.

Skills

Machine Learning

Research Leadership

Experimentation

Critical Thinking

Education

Ph.D. in Computer Science

Ph.D. in AI/ML

Tools

TensorFlow

PyTorch

Python

Job description

About the Role

Our client is a world-renowned leader in artificial intelligence and emerging technologies, driving innovation across multiple sectors. We are seeking an exceptional Investigador Principal en IA y Aprendizaje Automático to join our research division in Mexico City . This senior role is for an individual with a proven track record of groundbreaking research, capable of leading complex projects and shaping the future direction of AI. You will be instrumental in exploring novel AI concepts, developing advanced machine learning algorithms, and publishing high-impact research. This position offers a dynamic, hybrid work environment, fostering collaboration with top-tier researchers and engineers while providing flexibility.

Key Responsibilities

• Lead and conduct cutting-edge research in AI and machine learning, focusing on areas such as deep learning, reinforcement learning, and generative models.
• Develop novel algorithms and methodologies to solve complex, real-world problems.
• Design and execute advanced experiments, analyze results, and draw meaningful conclusions.
• Publish research findings in leading academic conferences and journals.
• Mentor and guide junior researchers and engineers, fostering a collaborative research environment.
• Collaborate with product teams to translate research breakthroughs into practical applications.
• Stay abreast of the latest advancements in the AI/ML field and identify new research opportunities.
• Present research findings to internal teams, external partners, and at conferences.

Requirements

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Extensive research experience with a strong publication record in top-tier venues.
• Deep theoretical understanding and practical expertise in various machine learning paradigms.
• Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
• Demonstrated ability to lead research projects and mentor teams effectively.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to articulate complex concepts clearly.
• Experience working in a research-intensive environment in Mexico City .

Benefits

• Highly competitive salary and significant bonus potential based on research achievements.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, including conferences and access to cutting-edge resources.
• Opportunities for impactful research with global recognition.
• A collaborative and intellectually stimulating hybrid work environment.
• Career advancement within a leading AI research organization.
• Supportive culture that values innovation and scientific rigor.