Science team at AIG develops AI-first products (apps and services that use machine learning to inform and assist their users) for both the insurance and investment arms of AIG. This is mainly achieved through:
Incubation of disruptive innovation (through scientists, engineers and designers working together) Machine learning R&D (and publication in top AI/ML conferences and journals) Machine-learning advisory / consultancy to AIG's global businesses
The resulting solutions and innovations aim to reinvent AIGs internal processes, improve AIGs offerings to its clients (in line with the companys mission to be its clients most valued insurer), and ultimately disrupt the wider insurance industry.
As a critical role in Sciences success, we are looking to hire Machine Learning Engineers to join our team and contribute to the development of disruptive apps / products.
This is an exciting opportunity for those who want to enjoy state-of-the-art R&D and be challenged and grow in the field of AI-first software / product development; along the way this role will contribute to game-changing products for the multi-trillion-dollar insurance industry and use AIGs (the worlds largest insurer by many metrics) global network to deliver impact and change.
Before you apply, we encourage you to learn more about AIG
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Portfolio of past experience (e.g., blogs, talks, contributions to Open Source, Kaggle)
The role will be based in London paying a Competitive Salary, Benefits and Bonus. Closing date for applications is November 2nd 2018.
It has been and will continue to be the policy of American International Group, Inc., its subsidiaries and affiliates to be an Equal Opportunity Employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
At AIG, we believe that diversity and inclusion are critical to our future and our mission " creating a foundation for a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our people are not only respected as individuals, but also truly valued for their unique perspectives.