We are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.

In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
• Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.
• Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.
• Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.
• Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.
• Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.

Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 4+ years of industry experience in applied science, machine learning, or deep learning at scale.
• Solid foundation in recommendation systems, ranking models, or search relevance.
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and cloud-scale ML infrastructure.
• Proficiency in Python and data processing tools (Spark, Pandas, or equivalent).
• Track record of shipping ML models to production with measurable user impact.
• Experience with LLM-based ranking, retrieval-augmented generation (RAG), or generative recommendation systems.
• Familiarity with multi-objective optimization, heterogeneous signal fusion, or user modeling.
• Experience with online experimentation (A/B testing, interleaving) and metrics-driven development.
• Publications at top venues (NeurIPS, ICML, KDD, WWW, RecSys, SIGIR).
• Exposure to agentic AI systems or autonomous content curation pipelines.
• Experience with distributed ML training and large-scale data pipelines.

#MicrosoftAI Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

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We're looking for a senior product manager to own our most ambitious bet: building learning products and experiences that are native to frontier AI.

Responsibilities

• Build at the frontier: co-develop vision and own strategy and execution for AI-native learning products
• Work closely with research teams to understand emerging capabilities and what they unlock for learners
• Prototype and experiment to validate ideas quickly, using Claude and our internal tools as building blocks
• Anticipate how capability shifts change the product and build with that trajectory in mind
• Stay close to learners: run user research, watch real people move from 'I don't understand this' to 'I could teach this,' and let what you observe reshape what we build

You may be a good fit if you have

• 5+ years in product management, with a track record of shipping products from zero to one and seeing them through to real impact
• Technical fluency: you're comfortable with AI tools, can prototype with Claude, and hold your own in conversations with researchers and engineers
• Genuine curiosity about frontier AI: you follow what's emerging, you play with new capabilities, and you have opinions about where things are heading
• Comfort with ambiguity and wide scope: you make good calls with incomplete information and you're not precious about where your job ends
• A track record as a force multiplier on small teams: you make the people around you more effective, not just your own roadmap
• Strong written and verbal communication: you can write a crisp spec, present to leadership, and synthesise messy stakeholder input into a clear direction

Strong candidates may also have

• Experience working closely with research or applied science teams, or a background that makes you fluent in how research becomes product
• Background in learning products, developer education, or curriculum design
• Founder experience or time at an early-stage company where scope was wide and you wore many hats
• Familiarity with how people actually learn: learning science, instructional design, or strong instincts from having taught something yourself
• Experience building with LLMs as core product infrastructure, not just as a feature

What this role is not

This is a hands-on IC product, project, and program management role. You'll shape strategy, push the team's thinking, and have real influence over what education at Anthropic becomes, and coordinate complex execution across multiple stakeholders and teams , but it doesn't involve people management.

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