Responsibilities:

• Support with maintaining academic oversight of the delivery, including timetabling, assessment, and monitoring of AES in the Centre

• Provide support to AES tutors, including providing feedback on their performance and help with arranging staff cover

• Support the Regional Head of English (RHEC) with the appointment of staff in AES.

• Participate in regular meetings with AES staff and represent the RHEC and Centre at appropriate events and meetings within the Centre, the partner university and externally.

• Contribute to programme centre senior management meetings as determined by the RHEC, and Centre Director(or their nominee), to inform strategic planning and resource allocation.

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Benefits:

• Competitive salary + stock options

• Remote work friendly

• Medical, dental, and vision plans

• $1000 as a one-time home office upgrade

• Employee and Customer referral programs

Experience Requirements:

• 0-4 years of data entry and/or data maintenance experience

• Strong written and verbal communication skills

• Solid analytical skills

• Web research and troubleshooting skills

Other Requirements:

• Superior Excel Skills

• Ability to work a late shift

Responsibilities:

• Research & Analysis

• Content Onboarding & Maintenance

• Troubleshooting Content Issues

• Content Support

• Coordinate with content providers

Experience Requirements:

• Minimum 4 years of hands-on experience in Java, Kotlin or Python

• Minimum 2 years experience with UI automation tools

• Minimum 2 years experience with API automation tools

• Experience building automation frameworks

Other Requirements:

• Working knowledge of cloud services

• Experience with distributed architecture

• Experience with Dockers, K8s

Benefits:

• Flexible Hours

• Hybrid Working Option

• Healthcare Insurance

• Weekly Internal Workshops

• FLEXIBLE BENEFITS FREE SNACKS & BEVERAGES EVENTS & SOCIAL ACTIVITIES Casual Dress Code Personal Development Individual Budget

Benefits:

• Competitive salary

• Stock options

• 100% covered premium health, dental, and vision insurance

• Wellness benefits

• Retirement 401k: 100% match

• Commuter benefits

• Daily meals in the office

• Training and development budget

• Flexible working hours

• Unlimited PTO

Responsibilities:

• Design, train, and evaluate hybrid AI systems

• Build data processing pipelines

• Implement machine learning models

• Run machine learning workloads at scale

• Define and apply design principles

• Solve min-max problems

• Remove operational and tooling bottlenecks

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

• Employee recognition programmes

Education Requirements:

• Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline

Experience Requirements:

• Experience in developing production grade data-driven software solutions

Responsibilities:

• Drive the development of state-of-the-art biomedical AI algorithms

• Implement solutions across biomedical tasks

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

• Employee recognition programmes

Education Requirements:

• Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline

Experience Requirements:

• Experience in developing and validating state-of-the-art machine learning models

Responsibilities:

• Research, design, implement, and deliver prediction models for biomedical tasks.

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

• Employee recognition programmes

Education Requirements:

• Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline

Experience Requirements:

• Experience in developing and validating state-of-the-art machine learning models

Responsibilities:

• Research, design, implement, and deliver prediction models for biomedical tasks.