Remote AI Research Scientist - Machine Learning

Full Description

Our client is at the forefront of innovation and is seeking a brilliant and driven Remote AI Research Scientist specializing in Machine Learning to join our cutting-edge, fully remote research team.

This role is dedicated to pushing the boundaries of artificial intelligence, developing novel algorithms, and implementing state-of-the-art machine learning models to solve complex problems.

You will be instrumental in conceptualizing, designing, and executing research projects that lead to breakthroughs in AI applications.

The ideal candidate will possess a Ph.

D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier conferences and journals.

Extensive experience in programming languages like Python, and deep familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn are essential.

You will work on diverse areas including deep learning, natural language processing, computer vision, reinforcement learning, and predictive modeling.

This position requires exceptional problem-solving skills, a rigorous scientific mindset, and the ability to work both independently and collaboratively within a distributed team environment.

You will contribute to the entire research lifecycle, from ideation and experimentation to model development, validation, and deployment.

Collaboration with other researchers, engineers, and product teams to translate research findings into practical applications will be a key aspect of the role.

Staying abreast of the latest advancements in AI and ML, and actively contributing to the scientific community are highly valued. This is an unparalleled opportunity for a talented AI researcher to make a significant impact on the future of technology in a flexible, remote-first setting.

Responsibilities include:

Conducting cutting-edge research in Artificial Intelligence and Machine Learning.

Developing and implementing novel machine learning algorithms and models.

Designing and performing experiments to validate research hypotheses.

Utilizing deep learning frameworks (TensorFlow, PyTorch) for model development.

Processing and analyzing large datasets to extract meaningful insights.

Collaborating with cross-functional teams to integrate AI solutions into products.

Publishing research findings in leading academic conferences and journals.

Mentoring junior researchers and engineers.

Staying current with the latest advancements in AI and ML research.

Evaluating and adopting new AI technologies and methodologies.

Contributing to the development of intellectual property and patents.

Presenting research progress and results to stakeholders.

Ensuring ethical considerations and bias mitigation in AI models.

Qualifications:

Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.

Proven track record of research in Machine Learning with significant publications.

Expertise in at least one major ML framework (e.g., TensorFlow, PyTorch, Keras).

Strong programming skills in Python and experience with ML libraries.

Deep understanding of various ML algorithms (e.g., deep neural networks, SVMs, Bayesian methods).

Experience with data preprocessing, feature engineering, and model evaluation.

Excellent analytical, problem-solving, and critical thinking abilities.

Ability to work independently and manage research projects in a remote environment.

Strong written and verbal communication skills for technical and non-technical audiences.

Familiarity with cloud computing platforms (AWS, GCP, Azure) is a plus.

Experience in areas like NLP, Computer Vision, or Reinforcement Learning is highly desirable.