AI Research Scientist

Kula Example; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Kula Example is seeking a world-class AI Research Scientist to push the boundaries of deep learning. You will conduct original research, publish eminent papers, and collaborate with engineering teams to productionize innovations.

You will design novel algorithms, mentor junior researchers, and help shape a cutting-edge research program that aligns with the company’s strategic AI goals. This role emphasizes rigorous scientific contribution and impact on product teams.

Qualifications

• PhD in CS/EE or related field with a strong focus on AI and deep learning.
• Proven research track record in AI and deep learning with publications.
• Strong programming skills in Python, C++, and/or Java.
• Experience with deep learning frameworks TensorFlow, PyTorch, or Keras.
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration with cross-functional teams.
• Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.
• Experience with cloud platforms such as AWS or Google Cloud.
• Understanding of software development principles and agile methodologies.

Responsibilities

• Design, implement, and evaluate novel deep learning algorithms and models, focusing on state-of-the-art techniques.
• Collaborate with software engineering, product, and data science teams to deploy AI-powered features.
• Publish papers in top conferences and journals and present at events.
• Develop and maintain a research agenda aligned with company goals.
• Stay updated with AI advances and apply them to improve research outcomes.
• Lead and mentor junior researchers and engineers in AI and deep learning.
• Lead research projects aligned with strategic priorities and partner with academia.
• Engage with external partners to advance the company’s AI research agenda.
• Communicate findings to technical and non-technical audiences through reports and talks.

Skills

AI research

Python

C++/Java

TensorFlow/PyTorch/Keras

Communication

Cross-functional collaboration

Data visualization

Cloud platforms

Education

PhD in Computer Science/Electrical Engineering or related field

Tools

TensorFlow

PyTorch

Keras

Matplotlib/Seaborn/Plotly

AWS/Google Cloud

Job description

Join our AI Research team to push the boundaries of artificial intelligence. You will conduct original research in deep learning, publish papers at top-tier conferences, and collaborate with engineering teams to bring research innovations into production systems.

Elaborate responsibilities include:

• Designing, implementing, and evaluating novel deep learning algorithms and models, with a focus on state-of-the‑art techniques and applications.

• Collaborating with cross-functional teams, including software engineering, product management, and data science, to develop and deploy AI‑powered features and products.

• Publishing research papers in top‑tier conferences and journals, and presenting research findings at industry and academic events.

• Developing and maintaining a strong research agenda, with a focus on advancing the state‑of‑the‑art in AI and deep learning.

• Staying up‑to‑date with the latest advancements in AI and deep learning, and applying this knowledge to drive innovation and improve research outcomes.

• Leading and mentoring junior researchers and engineers to advance their skills and knowledge in AI and deep learning.

• Developing and leading research projects that align with the company’s strategic goals and priorities.

• Collaborating with external partners and academia to advance the company’s research agenda and stay at the forefront of AI innovation.

• Developing and maintaining strong relationships with key stakeholders, including engineering teams, product management, and executive leadership.

• Communicating research findings and recommendations to both technical and non‑technical audiences, through reports, presentations, and other media.

• Ensuring that all research activities are conducted with the highest level of integrity, ethics, and compliance with company policies and industry standards.

Required Skills and Qualifications:

• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong focus on AI and deep learning.

• Proven research track record in AI and deep learning, with publications in top‑tier conferences and journals.

• Strong programming skills in languages such as Python, C++, and/or Java.

• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.

• Excellent analytical and problem‑solving skills, with the ability to think critically and creatively.

• Strong communication and collaboration skills, with the ability to work effectively with cross‑functional teams.

• Experience with data visualization tools and techniques, such as Matplotlib, Seaborn, or Plotly.

• Experience with cloud‑based platforms, such as AWS or Google Cloud.

• Strong understanding of software development principles and practices, including agile development methodologies.