Member of Technical Staff, AI Post-Training
Job Summary
Job Description
The AI Post-Training team at Microsoft AI is responsible for post-training large language models (LLMs) used in Copilot. Responsibilities include data collection, evaluation aligned with product goals, prototyping new Copilot capabilities, developing finetuning algorithms, model deployment, and user feedback integration. The team uses cutting-edge pretrained models and algorithms and collaborates closely with other engineering and research teams. This role requires developing data collection, evaluation, and finetuning methods, designing experiment plans, prototyping new features, collaborating with various teams, and embodying Microsoft's culture and values. The ideal candidate is passionate about shipping impactful models and thrives in a fast-paced environment.
Must have:
- Bachelor's Degree in CS or related field
- Technical engineering experience
- Expertise in post-training of AI models
- Coding proficiency (C, C++, C#, Java, JavaScript, or Python)
Good to have:
- Experience with large-scale AI
- Passion for conversational AI
- Excellent communication skills
- Ability to collaborate with cross-functional teams
- Proven research track record
7 skills required
Job Details
Job Description
Help us develop 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.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- 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
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
- 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.
Required/Minimum Qualifications
- · Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python
- Expertise in post-training of AI models
Additional or Preferred Qualifications
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Proven research track record in a domain related field supported by exceptional papers
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