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For Companies At a Glance
- Tasks: Develop cutting-edge algorithms and innovate AI models that transform the tech landscape.
- Company: Join Microsoft AI, a leader in pioneering foundational AI models.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Be part of a team pushing the boundaries of AI technology and making a real impact.
- Qualifications: Bachelor's or Master's in relevant fields with experience in data science or software development.
- Other info: Collaborative and fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Overview
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
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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. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your expertise in multimodal research. This is your chance to demonstrate what you can bring to the table beyond your CV.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on algorithms and system design. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Microsoft AI family.
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.
Emphasise Collaboration: We love teamwork! In your application, share examples of how you've worked collaboratively in fast-paced environments. This will show us that you're ready to jump into our innovative culture at Microsoft AI.
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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Microsoft
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and multimodal systems. Be ready to discuss your past projects, publications, and any relevant experience in detail. This is your chance to showcase your expertise, so don’t hold back!
✨Show Your Analytical Skills
Prepare to demonstrate your analytical thinking and problem-solving abilities. You might be asked to tackle a technical challenge or case study during the interview, so practice articulating your thought process clearly and logically.
✨Collaborate Like a Pro
Since teamwork is key in this role, think of examples where you've successfully collaborated with others. Highlight how you’ve contributed to team projects, especially in fast-paced environments, and be ready to discuss how you handle feedback and iterate on ideas.
✨Embrace the Data-Driven Approach
Familiarise yourself with data-driven methodologies and be prepared to discuss how you’ve applied them in your previous work. Mention specific instances where your attention to detail and rigorous analysis led to successful outcomes in your projects.
