Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Industry: Software Development
Company Size: 10,001+ employees

Microsoft

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**Overview**

The Microsoft AI Web Data team is looking for a highly qualified **Principal Applied Scientist ** to help build the next-generation platform for Bing and Microsoft AI.

The Microsoft AI Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences, including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover, fetch, process, understanding and store web content at internet scale. We advance the platform’s capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI.

This is a great opportunity for someone who enjoys tackling deep technical challenges and driving industry-wide impact. In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.

Join us to shape the future of AI and deliver meaningful value to millions of users.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

**Responsibilities**

- Develop deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction.

- Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact.

- Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline.

- Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection.

- Guide and mentor junior team members in developing new technologies that translate into production-ready solutions.

- Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)

- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

- OR equivalent experience.

**Preferred Qualifications**

- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

- OR equivalent experience.

- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

- 5+ years experience conducting research as part of a research program (in academic or industry settings).

- 3+ years experience developing and deploying live production systems, as part of a product team.

- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

- 8+ years of experience in product development in machine learning and related areas.

- Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch.

- Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing.

- Demonstrated excellence in communication and cross-team collaboration.

- Ability to think big while delivering measurable real-world impact through design and development.

- Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges.

- Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems

- Experience with Search or recommendations.

#MicrosoftAI

Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations. **

Principal Applied Scientist

Claritev is an independent and public healthcare technology, data and insights company making healthcare more transparent, fair and affordable for all. We work across the healthcare value chain to expose imbalanced and inefficient pricing practices. Led by deeply experienced analysts, negotiators and innovators, Claritev provides tech-enabled solutions and services fueled by proprietary data from over 40 years of experience. Today, along with machine learning and AI, we utilize a robust enterprise platform to deliver price transparency, improve payment accuracy, and drive more meaningful analytics and decision-making.

Through Claritev, providers are able to make data-enabled decisions to optimize their service offerings, market position and ultimately deliver high-quality care. Payors and third-party administrators can deliver greater flexibility and value to plan sponsors. Employers can drive cost-efficient benefit design and patients can finally afford the care they need. 

By focusing on customized solutions that that improve transparency, affordability and quality for all key players, we’re igniting a more competitive marketplace — one that lowers overall costs while improving quality. Claritev brings the transparency our nation needs to see its way to a better healthcare system.

Industry: Hospitals and Health Care
Company Size: 1,001-5,000 employees

Claritev

At Claritev, our mission is to **simplify healthcare workflows, improve transparency, and bend the healthcare cost curve **. We believe that data, technology, and AI can fundamentally transform how healthcare operates by automating complex workflows, improving decision-making, and reducing unnecessary costs across the system.

By combining deep healthcare expertise with advanced analytics and AI, we help payers, providers, and employers operate more efficiently and deliver better outcomes for the people they serve.

We are bold in our thinking, rigorous in execution, and committed to service excellence for every stakeholder. Our culture values innovation, accountability, diversity of thought, and collaboration.

Join us as we accelerate our transformation into a leading technology and AI-driven company shaping the future of healthcare.

At Claritev, our mission is to **simplify healthcare workflows, improve transparency, and bend the healthcare cost curve **. We believe that data, technology, and AI can fundamentally transform how healthcare operates by automating complex workflows, improving decision-making, and reducing unnecessary costs across the system.

By combining deep healthcare expertise with advanced analytics and AI, we help payers, providers, and employers operate more efficiently and deliver better outcomes for the people they serve.

We are bold in our thinking, rigorous in execution, and committed to service excellence for every stakeholder. Our culture values innovation, accountability, diversity of thought, and collaboration.

Join us as we accelerate our transformation into a leading technology and AI-driven company shaping the future of healthcare.

**Job Summary**

We are seeking a **Principal Applied Scientist ** to lead the research, development, and deployment of advanced machine learning and AI systems that power Claritev’s next generation of healthcare products.

This is a **hands-on technical leadership role ** for an experienced applied scientist who thrives at the intersection of **research innovation, real-world deployment, and measurable business impact **. You will architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock new insights from large-scale healthcare data.

In this role, you will work closely with **Product, Engineering, and business leaders ** to translate cutting-edge research into scalable production solutions that improve transparency, reduce costs, and simplify healthcare operations. You will also serve as a **technical thought leader and mentor **, helping shape Claritev’s AI strategy and elevating the scientific rigor and innovation of the organization.

**Key Responsibilities**

**AI & Machine Learning Leadership**

- Lead the research, design, and deployment of machine learning and AI systems in production environments.

- Architect predictive, generative, and optimization models that drive healthcare cost reduction, transparency, and operational efficiency.

- Develop advanced analytics, forecasting, and decision-support models that improve customer and client outcomes.

**Innovation & Applied Research**

- Research and evaluate emerging AI technologies, foundation models, and agentic systems to identify opportunities for new products and capabilities.

- Design and implement novel machine learning and optimization methodologies tailored to complex healthcare data and workflows.

- Drive experimentation and rapid prototyping to accelerate innovation and product development.

**Product & Business Impact**

- Partner with Product, Engineering, and business stakeholders to translate AI capabilities into scalable solutions.

- Identify opportunities to leverage Claritev’s data assets to create new AI-driven products, insights, and automation capabilities.

- Collaborate directly with clients to gather feedback and ensure solutions deliver measurable value.

**Engineering & Production Excellence**

- Write high-quality, scalable, and production-ready code.

- Work closely with Engineering and DevOps teams to deploy and maintain models in production systems.

- Develop monitoring frameworks to ensure model performance, reliability, and data quality over time.

**Collaboration & Mentorship**

- Serve as a technical mentor and leader for applied scientists and data scientists.

- Foster a culture of scientific rigor, experimentation, and knowledge sharing.

- Collaborate across disciplines including product management, engineering, analytics, and operations.

**Governance & Compliance**

- Ensure compliance with HIPAA and healthcare data privacy regulations.

- Implement responsible AI practices including model validation, monitoring, and risk management.

,

**Job Requirements**

- Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.

- 8+ years of hands-on industry experience applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production.

- 2-3 years of hands-on experience with Generative AI and agent development.

- Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n).

- Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows.

- Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency.

- Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc.

- Strong foundation in ML theory, including deep learning, statistics, or optimization.

- Healthcare or health services experience is a plus

- A product-oriented mindset, with the ability to align applied science work with business objectives and impact.

- Excellent communication and cross-functional collaboration skills.

**Compensation**

The salary range for this position is **$190K to $210K. ** Specific compensation offers are determined based on a variety of factors including the candidate’s education, experience, skills, work location, and internal equity considerations In addition to base salary, this position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan.

**Benefits**

We realize that our employees are instrumental in our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs.  Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

**Your Benefits Will Include**

- Medical, dental and vision coverage with low deductible & copay

- Life insurance

- Short and long-term disability

- Paid Parental Leave

- 401(k) + match

- Employee Stock Purchase Plan

- Generous Paid Time Off - accrued based on years of service

- WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional years of service

- 10 paid company holidays

- Tuition reimbursement

- Flexible Spending Account

- Employee Assistance Program

- Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.

**EEO STATEMENT**

Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations.  Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status.  If you would like more information on your EEO rights under the law, please click here.

**APPLICATION DEADLINE**

We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.

- VG1

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