AI Research Engineer

Placements24; Riverton (UT); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Bonuses

Health insurance

Dev budget

AI research access

Job summary

Placements24 is seeking a highly skilled AI Research Engineer to join a globally distributed team working remotely. The role involves translating research into practical AI applications, prototyping novel algorithms, and pushing the boundaries of AI across multiple domains.

Responsibilities include developing deep learning, NLP, and computer vision models, and collaborating with researchers and engineers to deploy research into production. Strong Python and ML framework expertise are essential.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning theory, algorithms, and statistical modeling.
• Proven experience in developing and implementing AI/ML models.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication skills to articulate complex technical concepts effectively.

Responsibilities

• Develop and implement novel algorithms and models in areas such as deep learning, natural language processing, and computer vision.
• Prototype AI solutions and conduct experiments to validate research hypotheses.
• Collaborate with research scientists and software engineers to integrate research into production systems.
• Optimize algorithms and code for performance, scalability, and efficiency.
• Stay abreast of the latest research trends and advancements in AI and machine learning.
• Contribute to technical documentation and potentially research publications.

Skills

Python

PyTorch

TensorFlow

ML theory

Remote work

Communication

Education

Master's or PhD in CS/AI/ML

Tools

PyTorch

TensorFlow

NumPy

Job description

About the Role

Our client is seeking a highly skilled AI Research Engineer to join their innovative team dedicated to pushing the boundaries of artificial intelligence. This role involves translating cutting-edge research into practical AI applications and working on challenging problems that require deep technical expertise. You will be instrumental in developing, prototyping, and implementing novel algorithms and systems. As this is a remote position, you will have the opportunity to collaborate with a globally distributed team of top AI talent from the convenience of your own workspace, contributing to projects with significant impact.

Key Responsibilities

• Develop and implement novel algorithms and models in areas such as deep learning, natural language processing, and computer vision.
• Prototype AI solutions and conduct experiments to validate research hypotheses.
• Collaborate with research scientists and software engineers to integrate research into production systems.
• Optimize algorithms and code for performance, scalability, and efficiency.
• Stay abreast of the latest research trends and advancements in AI and machine learning.
• Contribute to technical documentation and potentially research publications.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning theory, algorithms, and statistical modeling.
• Proven experience in developing and implementing AI/ML models.
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• Strong communication skills to articulate complex technical concepts effectively.

Benefits

• Highly competitive salary and performance-based bonuses.
• Fully remote work arrangement providing excellent work-life integration.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and learning resources.
• Opportunity to work on groundbreaking AI research and development with leading experts.