Samaya AI

Benefits:

• Comprehensive health insurance, including medical, dental, vision and short-term disability

• Support for your long-term financial wellbeing, with 401K (US) and enhanced pension (UK)

• Unlimited PTO (Paid Time Off)

• Hybrid work environment (typically, team members spend a minimum of two days in the office per week)

• Travel to other locations is encouraged to foster team cohesion and maintain Samaya’s unique culture

Education Requirements:

• PhD strongly preferred

Experience Requirements:

• Demonstrated ML expertise, in researching, training, deploying, and optimizing LLMs and other models/techniques for knowledge-intensive tasks.

• Strong programming skills, with proficiency in Python and experience with ML libraries/techniques.

• Proven track record of working with LLMs and neural information retrieval.

• Independence, and a willingness to take ownership of tasks

• Passion for solving challenging problems

Responsibilities:

• Research and propose cutting-edge neural solutions that solve real-world problems

• Train, deploy, and evaluate LLMs at scale

• Design and implement evaluation pipelines to ensure accuracy and efficiency

• Optimize inference and training infrastructure for latency and costs

Benefits:

• Comprehensive health insurance, including medical, dental, vision and short-term disability

• Support for your long-term financial wellbeing, with 401K (US) and enhanced pension (UK)

• Unlimited PTO (Paid Time Off)

• Hybrid work environment (typically, team members spend a minimum of two days in the office per week)

• Travel to other locations is encouraged to foster team cohesion and maintain Samaya’s unique culture

Education Requirements:

• PhD strongly preferred

Experience Requirements:

• Demonstrated ML expertise, in researching, training, deploying, and optimising LLMs and other models/techniques for knowledge-intensive tasks.

• Strong programming skills, with proficiency in Python and experience with ML libraries/techniques.

• Proven track record of working with LLMs and neural information retrieval.

• Independence, and a willingness to take ownership of tasks

• Passion for solving challenging problems

Responsibilities:

• Research and propose cutting-edge neural solutions that solve real-world problems

• Train, deploy, and evaluate LLMs at scale

• Design and implement evaluation pipelines to ensure accuracy and efficiency

• Optimise inference and training infrastructure for latency and costs

Benefits:

• Comprehensive health insurance, including medical, dental, vision, and short-term disability

• Unlimited PTO

• Hybrid work environment (typically spend a minimum of 2 days in the office per week)

• 401K (US) and Pension (UK)

• Office equipment allowance

Experience Requirements:

• 5+ years of experience of building and shipping scalable features across frontend and backend

• Expertise in front-end development, with advanced skills in React, TypeScript, and modern web technologies

• Solid experience across the full development stack, including Python, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.

• A passion for building products that delight users, with a strong product orientation and the ability to prioritize features based on user value.

• The ability to quickly learn and adopt new languages and tools, demonstrating flexibility and a growth mindset.

Responsibilities:

• Lead the development of web applications, from conception through deployment, ensuring they meet our high standards for performance, accessibility, and user experience.

• Design and implement APIs and services that power our applications, working closely with backend teams to ensure seamless integration and data flow.

• Actively monitor and debug applications in production, identifying and resolving issues to maintain optimal performance and reliability.

• Collaborate with cross-functional team members, including product managers, designers, and data scientists, to deliver innovative features and products.

• Champion the continuous improvement of our engineering processes, advocating for best practices in code quality, deployment, and maintenance.