Microsoft Senior Machine Learning Engineer Multiple Positions 

Taiwan, Taoyuan City 

4707807

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 2+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics.
• 4+ years of experience in software development.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Machine Learning, Artificial Intelligence, Computer Science, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 3+ years related experience
  • OR Bachelor's Degree in Machine Learning, Artificial Intelligence, Computer Science, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 5+ years related experience.
• 5+ years of experience in software development.
• 3+ years of experience in end-to-end development for building, shipping, and iterating on high-impact ML models.
• Proficiency in Python and familiarity with coding in multiple languages.
  
• Proficiency in using ML libraries from sources such as Hugging Face.
  
• Expertise in implementing, training, and debugging transformer-based ML models and other related tools and technologies for building and shipping large language models (LLM) applications.
  
• Deep knowledge of algorithms, machine learning, and distributed/cloud computing systems (e.g., Spark, Hadoop, Azure).
  
• Contributions to open-source ML projects are a plus.
  
• Effective communication skills, maintaining customer experience and quality along with the ability to work across groups and disciplines.
  
• Ability to quickly ramp up on various domains within Machine Learning.
  
• Experience shipping high-quality products at scale is a plus.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Finetune and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets.
• Develop and ship machine learning models and large language model applications to customers.
• Measure the impact of models and work with product teams to design Artificial Intelligence (AI)-powered experiences.
• Foster a healthy and inclusive team environment and collaborate effectively with engineers and applied scientists in the team.
• Embody our culture and values