Member of Technical Staff

7 days ago

London, United Kingdom Microsoft Full time

**Help us d**evelop and train the cutting-edge models that are served in Copilot**.**

At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.

The AI Post-Training team at Microsoft AI is responsible for all aspects of post-training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products.
- Are passionate about shipping models into products that users will love
- Will thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
- Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities

**Responsibilities**:

- Develop data collection, evaluation, and finetuning methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.
- Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.
- Embody our culture and values.

**Qualifications**:
**Required/Minimum Qualifications**
- Bachelor's Degree in Statistics, Computer Science, or Computer Engineering, or related field AND related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Computer Science, or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Computer Science, or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

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