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- Tasks: Develop cutting-edge algorithms and model architectures for AI systems.
- Company: Join Microsoft AI, a leader in innovative technology and deep learning.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Be part of a team transforming the future of AI with impactful projects.
- Qualifications: Bachelor's or Master's in relevant fields with experience in data science or software development.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Help deliver one of the best foundational models in the world at Microsoft AI. At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making.
- Have experience and/or in-depth understandings about large-scale distributed systems.
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities:
- Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
- Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
- Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.
- Innovate and iterate over ideas, prototypes, and product.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.
- Advance the AI frontier responsibly.
- Embody our culture and values.
Required Qualifications:
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR Masters Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work OR equivalent experience.
- Expertise in multimodal Research with a strong publishing track record.
Member of Technical Staff, AI Multimodal employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, AI Multimodal
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Microsoft AI. Use platforms like LinkedIn to connect and engage with them. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and multimodal systems. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and coding challenges relevant to AI and deep learning. We want you to shine when it’s your turn to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Microsoft AI.
We think you need these skills to ace Member of Technical Staff, AI Multimodal
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your proven expertise in your application. Whether it's through your publication track record or significant projects, we want to see what makes you stand out in the field of AI and multimodal research.
Be Detail-Oriented: Attention to detail is key! When crafting your application, ensure that every part is polished and precise. We appreciate candidates who take the time to present their skills and experiences clearly and accurately.
Collaborate and Innovate: We love teamwork! In your application, mention any collaborative projects you've been a part of. Show us how you’ve worked with others to innovate and tackle challenges in fast-paced environments.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Microsoft AI.
How to prepare for a job interview at Microsoft
✨Showcase Your Expertise
Make sure to highlight your proven expertise in AI and multimodal research during the interview. Bring along a portfolio of your work or a list of your publications to discuss how they relate to the role. This will demonstrate your technical leadership and commitment to pushing the boundaries in the field.
✨Prepare for Technical Questions
Expect to face some challenging technical questions related to algorithms, model architectures, and distributed systems. Brush up on your knowledge in these areas and be ready to explain your thought process clearly. Practising with mock interviews can help you articulate your ideas more effectively.
✨Emphasise Collaboration Skills
Since the role requires working closely with various teams, be prepared to discuss your experience in collaborative environments. Share examples of past projects where you successfully worked with others, highlighting your ability to innovate and iterate on ideas together.
✨Demonstrate a Data-Driven Mindset
The interviewers will be looking for your commitment to data-driven decision-making. Be ready to talk about how you've used data in previous projects, including any ablation studies or scientific analyses you've conducted. This will show that you understand the importance of meticulous evaluation in advancing AI technologies.
