TL;DR
Software Engineer (AI): Designing and implementing distributed training systems for machine learning models, developing streaming training and publishing solutions. Focus on identifying opportunities from offline and online testing, and delivering robust, scalable solutions in collaboration with cross-functional teams.
Location: Must live within a 25-mile commute of a non-U.S., country-specific Microsoft location
Company
Microsoft's mission is to empower every person and every organization on the planet to achieve more.
What you will do
- Design and implement distributed training systems for machine learning models with trillions of parameters.
- Develop and deploy streaming training and publishing solutions for large-scale machine learning models.
- Analyze metrics from offline and online testing to identify opportunities and deliver robust, scalable solutions.
- Collaborate with cross-functional teams to ensure high-quality, efficient delivery of solutions.
Requirements
- Bachelor’s Degree in Computer Science or related field AND 2+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python OR equivalent.
- Quick learning and solid problem-solving and debugging skills.
- Good communication skills, fluent in English (both oral and written).
Nice to have
- Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Experience with machine learning, LLM or TensorFlow/PyTorch distributed training.
- Domain knowledge of ads, search or content services.
Culture & Benefits
- Come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
- Build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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