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We are searching for an innovative Backend Engineer that will join us and be part of a SW team responsible of the full life cycle development of several web key applications including technical and statistical research, design, coding and integration.
This role will require you to move fast and deliver great products, you will be part of a smart, motivated, creative team of people who are filled with positive energy targeting to bring the best solutions to the finish line.
In this role youll :
Deliver scalable features to support our vision in a timely and quality manner
Building cutting-edge technologies that make a powerful impact on data-driven systems
Tackle tough problems and find creative ways to solve them
Produce (a lot) of high-quality, functional code that is readable, testable and maintainable
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products

We are searching for an innovative and experienced Data Engineer that will join us and be part of our new data initiatives team in our data group.
As a Data Engineer, you will:
Be a part of a cross functional team of data, backend and DevOps engineers.
Be responsible for ingesting large volumes of new data, followed by deep understanding and inspection of the data in close collaboration with data scientists.
Lead the architecture, planning, design and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.

Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems.
Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies.
If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on Finals financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL/Signal Processing/Data Mining to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Finals Algorithms

We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.
As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Research, Turing and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.
Responsibilities:
Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
Collaborate closely with our Research, Turing, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.