Research AI Foundations - Research Scientist Professional Cambridge

Responsibilities

• Lead AI projects in deep learning, reinforcement learning, lifelong learning, and other AI/ML areas, creating and applying AI techniques to solve complex analytical problems.
• Develop and prove mathematical properties of algorithms, conducting successful experiments to demonstrate these properties and evaluating their impact on user experiences.
• Embed research algorithms in usable systems, ensuring seamless integration and effective application of AI techniques.
• Communicate research findings through publications in top-tier conferences and journals such as NIPS, CVPR, ICML, and ICLR.
• Utilize frameworks like PyTorch and Tensorflow to develop and implement AI solutions.

Master's Degree

Doctorate Degree

• Deep expertise in one or more AI/ML areas, including deep learning, reinforcement learning, lifelong learning, transfer learning, few-shot learning, interpretable and adversarial learning, learning with memories, KRR, symbolic and trainable logic, causal inference, computer vision, speech, NLP, brain-inspired algorithms, and neuromorphic architectures.
• Experience with developing and proving mathematical properties of algorithms, conducting successful experiments to demonstrate these properties, and evaluating their impact on user experiences.
• Proficiency in utilizing frameworks like PyTorch and Tensorflow to develop and implement AI solutions.
• Experience with communicating research findings through publications in top-tier conferences and journals such as NIPS, CVPR, ICML, and ICLR.
• Experience with embedding research algorithms in usable systems, ensuring seamless integration and effective application of AI techniques.

• Proficiency in multiple AI frameworks, including PyTorch and Tensorflow, with the ability to leverage these tools to develop and implement innovative AI solutions.
• Experience publishing research findings in prestigious conferences and journals beyond the required top-tier outlets, such as NIPS, CVPR, ICML, and ICLR, showcasing expertise in communicating complex research to technical audiences.
• Deep expertise in multiple AI/ML areas, enabling the development of novel AI techniques and solutions that integrate concepts from diverse fields, such as computer vision, speech, NLP, and brain-inspired algorithms.

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being.
• Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long term disability coverage, and opportunities for performance based salary incentive programs.
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law.
• Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals.
• Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.