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- Tasks: Develop and implement safety methodologies for AI products used by millions.
- Company: Join Microsoft, a leader in innovation and collaboration, empowering everyone to achieve more.
- Benefits: Enjoy flexible work options, inclusive culture, and opportunities for growth and development.
- Why this job: Be part of a mission-driven team ensuring AI safety while working on cutting-edge technology.
- Qualifications: Bachelor’s in Computer Science or related field; coding experience in languages like Python or Java.
- Other info: Microsoft values diversity and inclusion, welcoming applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
Overview
As a Member of Technical Staff – Machine Learning, AI Safety, you will develop and implement cutting-edge safety methodologies and mitigations for products served to millions of users through Copilot every day. Users rely on Copilot for support in various endeavors, making it critical to ensure our AI systems behave safely and align with organizational values. You may be responsible for developing new methods to evaluate LLMs, experimenting with data collection techniques, implementing safety orchestration methods and mitigations, and training content classifiers to support the Copilot experience. We’re looking for outstanding individuals with experience in machine learning or machine learning infrastructure who are also strong communicators and great teammates. The right candidate takes the initiative and enjoys building trustworthy AI experiences and products in a fast-paced environment.
Microsoft’s mission is to empower every person and organization on the planet to achieve more. We foster a culture of growth, innovation, and collaboration, grounded in values of respect, integrity, and accountability, promoting inclusion where everyone can thrive at work and beyond.
Responsibilities
- Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.
- Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and failure modes.
- Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and develop efficient code for safety model pipelines and intervention systems.
- Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
- Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.
- Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science or related technical discipline AND experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.
- OR equivalent experience.
- Experience prompting and working with large language models.
- Experience writing production-quality Python code.
Preferred Qualifications
- Demonstrated interest in Responsible AI.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by law. If you need assistance or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form .
Benefits and perks listed below may vary depending on your employment nature and country of work.
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Member of Technical Staff – Machine Learning, AI Safety employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff – Machine Learning, AI Safety
✨Tip Number 1
Familiarise yourself with the latest advancements in AI safety and machine learning. Follow relevant research papers, attend webinars, and engage with online communities to stay updated on state-of-the-art techniques that could be beneficial for the role.
✨Tip Number 2
Showcase your coding skills by contributing to open-source projects or creating your own projects related to AI safety. This not only demonstrates your technical abilities but also your initiative and passion for the field.
✨Tip Number 3
Network with professionals in the AI safety domain. Attend industry conferences, meetups, or online forums where you can connect with others who share your interests and may provide insights or referrals for job opportunities.
✨Tip Number 4
Prepare to discuss your experiences with large language models and any relevant projects during interviews. Be ready to explain your thought process in developing safety methodologies and how you approach problem-solving in a team environment.
We think you need these skills to ace Member of Technical Staff – Machine Learning, AI Safety
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI safety, and coding languages mentioned in the job description. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI safety and your understanding of the role. Mention how your background aligns with Microsoft’s mission and values, and express your enthusiasm for contributing to Copilot.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python, C++, or Java. Include any projects or experiences where you have worked with large language models or developed safety methodologies.
Demonstrate Communication Skills: Since strong communication is key for this role, provide examples in your application that illustrate your ability to work collaboratively and convey complex technical concepts clearly. This could be through team projects or presentations you've delivered.
How to prepare for a job interview at Microsoft
✨Showcase Your Technical Skills
Be prepared to discuss your experience with coding languages like Python, C++, or Java. Highlight specific projects where you've implemented machine learning techniques or worked with large language models, as this will demonstrate your technical expertise.
✨Understand AI Safety Principles
Familiarise yourself with the latest trends and methodologies in AI safety. Be ready to discuss how you would approach risk assessment and mitigation strategies, as well as your understanding of responsible AI practices.
✨Communicate Effectively
Since strong communication is key for this role, practice explaining complex technical concepts in simple terms. This will show that you can collaborate effectively with teammates and stakeholders who may not have a technical background.
✨Demonstrate User-Centric Thinking
Prepare examples of how you've considered user perspectives in your previous work. Discuss how you would validate safety approaches through user research, as this aligns with the company's focus on user-oriented solutions.
