Artificial Intelligence Researcher

The Artificial Intelligence Researcher is responsible for developing and advancing innovative AI models, algorithms, and methodologies to solve complex problems and drive organizational growth. This role involves conducting original research, collaborating with cross-functional teams, publishing findings, and contributing to the application of state-of-the-art AI solutions in real-world scenarios. The ideal candidate demonstrates excellence in theoretical and applied machine learning, deep learning, or related AI domains.

Key Responsibilities:

Design, develop, and implement novel algorithms and machine learning models to address business and technical challenges.

Conduct original research in artificial intelligence, publishing findings in peer-reviewed journals and presenting at conferences as appropriate.

Collaborate with data scientists, engineers, and product teams to transition research innovations into scalable solutions.

Analyze large and complex datasets to validate model performance and drive improvements.

Stay current with developments in AI, machine learning, deep learning, and related fields, integrating advancements into ongoing research.

Document methodologies, experiments, and results following scientific best practices.

Participate in grant writing, patent applications, or research funding proposals as needed.

Ensure all work complies with ethical, legal, and organizational standards for research and data security.

Mentor junior researchers or interns as assigned.

Qualifications:

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a closely related field.

Demonstrated research experience in AI/ML, evidenced by published papers, patents, or significant project contributions.

Proficiency in programming languages and frameworks commonly used in AI research (e.g., Python, TensorFlow, PyTorch, R, C++).

Strong analytical, problem-solving, and critical thinking skills.

Experience working with large-scale datasets and advanced statistical methods.

Excellent written and verbal communication abilities.

Ability to work independently and collaboratively in a remote environment.

U.S. residency is required; applications from outside the United States will not be considered.

Compensation and Benefits:

Annual Salary Range: $140,000 – $185,000, depending on experience, education, and location within the U.S.

Benefits Package:

Comprehensive health, dental, and vision insurance

401(k) retirement plan with employer match

Paid time off (vacation, holidays, sick leave)

Professional development funding (conferences, publications, training)

Flexible remote work arrangements

Employee wellness and assistance programs