Description:

The AI Research Scientist (The Innovation Alchemist) role involves conducting research, designing algorithms, and developing AI systems that advance intelligent technology.
You will collaborate with engineers and data scientists to create new AI models, conduct experiments, and contribute to publications that influence the future of AI.
Key responsibilities include conducting cutting-edge research in AI, machine learning, and deep learning, focusing on areas like natural language processing, computer vision, and reinforcement learning.
You will design, prototype, and implement AI models based on research findings, experimenting with state-of-the-art techniques and developing proof-of-concept systems.
The role requires close collaboration with engineering teams to integrate research into real-world applications, ensuring practical challenges are addressed.
You will publish research findings in top-tier journals and present at major conferences, contributing to the academic community and advancing AI knowledge.
Conducting experiments to evaluate AI model performance, optimizing hyperparameters, and ensuring reproducibility of results is essential.
You will develop new intellectual property, including patents, contributing to the company's competitive advantage in AI.
Mentoring junior researchers and collaborating with cross-functional teams to explore new AI-driven opportunities is also part of the role.

Requirements:

Strong knowledge of AI, machine learning, and deep learning techniques, including supervised/unsupervised learning, reinforcement learning, neural networks, and generative models is required.
Proficiency in programming languages such as Python, R, or C++, and experience with AI research libraries like TensorFlow, PyTorch, Keras, or Scikit-learn is necessary.
A solid background in mathematics, statistics, probability, and optimization techniques is essential, with comfort in linear algebra, calculus, and statistical inference.
Expertise in conducting rigorous experiments, including hypothesis testing and data analysis, is required, along with the ability to articulate findings clearly.
Excellent communication skills are necessary to present research findings to both technical and non-technical audiences and to write academic papers.
A PhD in Computer Science, AI, Machine Learning, or a related field is required, although candidates with a Master’s degree and substantial research experience may be considered.
A strong publication record in top-tier AI, machine learning, or computer science journals and conferences is highly desirable.
At least 3 years of experience in AI research or applied machine learning, with a proven track record of developing innovative AI solutions is required.
Experience in research labs, universities, or industry R&D departments, along with hands-on experience in developing AI models and implementing research findings, is necessary.

Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums are provided.
Competitive vacation, sick leave, and 20 paid holidays per year are included in the paid time off policy.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs support professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources, is available.
Life insurance and short-term/long-term disability coverage are part of the benefits package.
Confidential counseling and support services for personal and professional challenges are offered through the Employee Assistance Program (EAP).
Financial assistance for continuing education and professional development is provided through tuition reimbursement.
Opportunities to participate in community service and volunteer activities are available for community engagement.
Employee recognition programs celebrate achievements and milestones within the organization.