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Are you someone who loves to lead and create new things?
We're searching for a Generative AI Group Leader to join us.
If you're great at both leading a team and doing technical research and problem solving, this is the perfect role for you.
You'll be at the forefront of our data science team, helping us develop cool new generative AI algorithms. Plus, you'll be leading the way in building a collaborative team culture to reach new innovative goals.
Key Responsibilities:
* Set a vision for generative AI research and development that aligns with company objectives
* Lead cutting-edge generative AI research initiatives
* Grow, mentor and inspire the data science team, while attracting and nurturing talents
* Manage and collaborate on AI projects from conception to deployment, emphasizing teamwork in research and development
* Oversee the research aspects of deep learning generative AI model development, ensuring excellence in algorithmic problem solving

We are looking for a AI Adoption Director.
In this role, you will be responsible for:
AI Adoption Strategy: Formulate and execute AI adoption strategies aligned with company objectives, identifying integration opportunities.
Change Management: Drive AI adoption across all functions, providing guidance, training and support for employees to leverage AI in their work.
Stakeholder Engagement: Collaborate with cross-functional teams to capture AI needs, and ensure buy-in for resulting initiatives.
Proof of Concept Development: Lead POC projects to validate AI ideas, informing decision-making and prioritization.
Stay on top of industry trends: Stay updated on AI trends and best practices.
Performance Monitoring: Establish metrics to measure AI effectiveness, optimizing outcomes through regular evaluations.
Vendor Management: Evaluate and manage AI technology vendor relationships, ensuring solutions meet business requirements.

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities:
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

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.

As the Game Economy Manager, you will be responsible for designing and managing the in-game economy, as well as managing and tracking our user's experiences through the use of behavioral insights, mathematical models, simulations, data analysis, To put it simply: You'll be responsible for making the game more fun and increasing community engagement. The ideal person for this position is curious by nature, loves problem-solving, is a team player with great communication skills, and is a self-starter.
Responsibilities:

* Designing economic game features in order to maximize and heighten User Experience and optimize KPIs directly linked to the game
* Model and balance complex systems in the game to maintain a healthy and growing in-game economy
* Work with the product and monetization teams to build and implement content in the game as well as live-ops activities
* Perform data analysis and AB testing in order to always improve the game performance
* Pricing of the game store, offers, and other products
* Tracking and managing in-game economy parameters on a daily basis