Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience in designing and building high-performance and secure APIs

• Strong programming skills in Python

• Knowledge of cloud computing, SaaS, and microservices architecture

• Familiarity with Docker, and Kubernetes

• Experience with performance optimization and scalability of distributed systems

Other Requirements:

• Excellent problem-solving and debugging skills

• Strong teamwork and communication skills

• A passion for staying updated on emerging technologies and industry trends

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.

• Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.

• Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.

• Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.

• Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company

Experience Requirements:

• Proven experience in building and optimizing database engines

• Prior experience with PostgreSQL extensions

Other Requirements:

• Solid foundation in data structures, algorithms, and database design

• Problem-solving skills and a passion for enhancing database performance

• Excellent communication and collaboration abilities

• Strong analytical mindset and a drive for innovation

Responsibilities:

• Invent, design, develop, and optimize core database engines.

• Collaborate on projects that involve NLP and machine learning applications to extract valuable insights from structured and unstructured data.

• Tackle complex database challenges, including schema design, query optimization, and distributed data processing.

• Stay current with emerging trends in database management, NLP, and machine learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Experience with model training, deploying, and maintenance.

• Strong knowledge of reinforced feedback techniques and reinforcement learning.

• Proficiency in frameworks like PyTorch, TensorFlow, or similar.

• Familiarity with NLP, text generation, and language understanding

Other Requirements:

• Strong problem-solving skills and a passion for addressing complex AI challenges.

• Excellent communication and collaboration abilities.

• Self-motivated and eager to stay at the forefront of AI advancements

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.

• Implement and experiment with RLHF to enhance model performance and decision-making.

• Collaborate with cross-functional teams to integrate language models into various applications and platforms.

• Work on model fine-tuning, performance optimization, and continuous improvement.

• Stay up-to-date with the latest research and trends in language modeling and RLHF.Contribute to research projects and technical publications.Participate in code reviews and mentorship of junior engineers