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- Tasks: Join Microsoft to build advanced reinforcement learning systems and contribute to innovative AI projects.
- Company: Microsoft, a leader in technology and innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge AI that empowers users worldwide.
- Qualifications: Bachelor's degree in STEM and coding experience in languages like Python or C++.
- Other info: Collaborative environment with a focus on innovation and inclusion.
The predicted salary is between 57600 - 96000 ÂŁ per year.
Member of Technical Staff, AI – Reinforcement Systems
Join to apply for the Member of Technical Staff, AI – Reinforcement Systems role at Microsoft
Member of Technical Staff, AI – Reinforcement Systems
1 week ago Be among the first 25 applicants
Join to apply for the Member of Technical Staff, AI – Reinforcement Systems role at Microsoft
Help build the world’s most advanced reinforcement learning systems at Microsoft AI.
We\’re on a mission to create trustworthy agents capable of autonomous action and decision-making on behalf of our users. As part of our team, you’ll help advance state-of-the-art model capabilities by contributing to core systems, infrastructure, and research.
We Are Looking For Distributed Systems Experts With a Scientific Mindset. The Ideal Candidate Will Be Able To Build Complex Systems From The Ground Up, Discover And Diagnose Causes Of Suboptimal Performance, And Contribute To Solving Scientific And Research Challenges. Specifically, They Should
- Excel in programming (especially parallel/concurrent), software engineering, and API design
- Have experience in large-scale systems, preferably having built some components from scratch.
- Thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Effectively manage multiple responsibilities and can adjust to shifting priorities
- Be motivated by training capable and safe AI agents and shipping them into the hands of millions of users
A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus.
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
- Collaborate with research teams to advance state-of-the-art algorithms for reinforcement learning in LLMs
- Develop the core systems for adapting reinforcement learning to unprecedented scales and heterogeneous environments.
- Embody our culture of collaboration, innovation, and excellence.
Qualifications
Required Qualifications:
- Bachelor\’s Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python
- Experience with large-scale software systems and infrastructure.
- Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains.
- Ability to work collaboratively in a fast-paced, innovative environment.
Preferred Qualifications
- Background in machine learning research.
- Experience with large scale distributed AI systems.
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Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
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Job function
Other
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Industries
Software Development
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Member of Technical Staff, AI - Reinforcement Systems employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Member of Technical Staff, AI - Reinforcement Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Microsoft. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source software, make sure to highlight them. It’s a great way to demonstrate your expertise in building complex systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice problems related to distributed systems and reinforcement learning to impress the interviewers with your scientific mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Microsoft.
We think you need these skills to ace Member of Technical Staff, AI - Reinforcement Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Member of Technical Staff, AI - Reinforcement Systems. Highlight your experience with large-scale systems and any relevant programming languages. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about reinforcement learning and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects related to AI or reinforcement learning, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled complex problems in the past.
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. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Microsoft
✨Know Your Stuff
Make sure you brush up on reinforcement learning concepts and algorithms. Familiarise yourself with the latest advancements in AI and be ready to discuss how they can be applied to real-world problems. This shows your genuine interest and expertise in the field.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving large-scale systems or distributed AI. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaborative Mindset
Since the role requires working in a highly collaborative environment, be ready to discuss your experiences in teamwork. Share examples of how you've successfully collaborated with others, especially in fast-paced settings, and how you handle differing opinions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, or their approach to innovation. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values.
