# Senior Applied Scientist (Bing Places)

**Company**: Microsoft
**Location**: Redmond, Washington
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: USD $119,800.00 – $234,700.00 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/senior-applied-scientist-bing-places-5/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4e007df2-666

## Description

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day.

We are looking for a Senior Applied Scientist to help design, build, and ship advanced AI and machine learning solutions,spanning large language models (LLMs), retrieval augmented generation (RAG), learning-to-ranking, and entity understanding,to deliver high-quality, trustworthy local search experiences at scale.

As a Senior Applied Scientist on Bing Places, you will:

- Work on challenging problems that require deep technical expertise and a focus on real-world impact.

- Work end-to-end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.

- Collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents.

**Responsibilities**

- Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production.

- Design, implement, and evaluate ML- and LLM-based models that improve Bing Places quality, relevance, and coverage.

- Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics.

- Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation.

- Own experimentation pipelines, including offline validation and large-scale online A/B flighting.

- Partner closely with engineers to integrate models into production systems and ensure long-term reliability and performance.

- Drive technical direction within your problem space and influence broader modeling and platform decisions.

- Document and communicate results through technical design reviews, papers, and patent filings.

**Qualifications** **Required Qualifications:**

- Bachelor’s Degree in Computer Science, or Computer Engineering, or related field AND 4+ years related experience

- OR Master’s Degree in Computer Science, or Computer Engineering, or related field AND 3+ years related experience

- OR Doctorate in Statistics, Econometrics, Computer Science, or Computer Engineering, or related field AND 1+ year(s) related experience

- OR equivalent experience.

**Preferred Qualifications:**

- Doctorate in Computer Science, or Computer Engineering, or related field AND 3+ years related experience

- 3+ years of experience applying AI solutions or LLMs to real-world systems (RAG, ranking, classification, reasoning).

- Proven experience in distributed training, model optimization, and production ML infrastructure.

- Hands-on experience developing and evaluating models on large-scale, real-world datasets.

- Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).

- In-depth understanding of experimentation methodologies, including offline metrics and online A/B testing.

- Ability to independently scope problems and deliver high-quality solutions in ambiguous environments.

- Proven collaboration skills and experience working with engineering and product partners.

- Ability to clearly communicate technical concepts and trade-offs to both technical and non-technical audiences.

- Comfort operating across the full lifecycle,from research and prototyping to production and live operations.

The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 per year.

## Skills

### Required
- Machine Learning
- AI
- Large Language Models
- Retrieval Augmented Generation
- Learning-to-Ranking
- Entity Understanding
- Python
- PyTorch
- TensorFlow
- JAX

### Nice to have
- Distributed Training
- Model Optimization
- Production ML Infrastructure
- Experimentation Methodologies
- Offline Metrics
- Online A/B Testing

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/senior-applied-scientist-bing-places-5/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)