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Microsoft Member Technical Staff Machine Learning Engineer Taiwan, Taoyuan City 61391908
23.03.2025
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Job Description
By applying to this Mountain View, CA position, you are required to be local to San Francisco area and in office 3 days a week.
Responsibilities:
- Develop and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.
- Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
- Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
- Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
- Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
- Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
- Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
- Embody ourand
Qualifications:
Required Qualifications:
- Bachelor's Degree in Computer Science, or related technical discipline 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.
- Proficiency in programming languages like Python or R, with experience in data processing frameworks (e.g., Spark, Hadoop).
- Demonstrated success in working with large datasets and cloud platforms such as AWS, GCP, or Azure.
Preferred Qualifications:
- Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience.
- Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale.
- Experience using large language models (LLMs) for machine learning and AI applications.
- Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in personalization strategies and user behavior modeling.
- Strong problem-solving skills and the ability to independently design solutions to complex challenges.
- Excellent communication skills, with the ability to influence technical and non-technical audiences.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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