TL;DR
Senior Applied Scientist (LLM): Designing, training, and deploying advanced LLM/MLLM/SLM models for ads content creation, performance optimization, and automated customer support with an accent on generative AI and LLM-driven agents. Focus on solving challenging problems in online advertising and delivering measurable business impact.
Location: Onsite in Beijing, Cn
Company
hirify.global is innovating rapidly in advertising by providing state-of-the-art online platforms and services, harnessing generative AI and LLM-driven agents.
What you will do
- Design, train, and deploy advanced LLM/MLLM/SLM models for ads content creation, performance optimization, and customer support.
- Apply strong problem-solving and data analysis skills to identify opportunities and optimize performance.
- Stay updated with advancements in generative AI, LLM agents, and online advertisement to integrate improvements.
- Develop scalable algorithms and pipelines for model training, data processing, serving, and measurement.
- Collaborate with cross-functional teams to define strategies and deliver solutions.
- Present technical solutions and results clearly to stakeholders.
Requirements
- Bachelor’s Degree with 4+ years, Master’s with 3+ years, or Doctorate with 1+ year experience in a related field.
- Minimum 3+ years of experience in machine learning, large AI model, or LLM-driven agent development and application.
- Proficiency in programming languages such as C++/C# and Python.
- Proven track record of leading projects and delivering successful results.
- Ability to implement ideas quickly and iterate based on feedback and experiments.
- Strong communication and presentation skills.
Nice to have
- Hands-on experience in LLM/MLLM or text/multimedia content generation model training, or agent algorithm development.
- Proven ability in technical innovation and creative problem-solving.
Culture & Benefits
- Microsoft is an equal opportunity employer committed to diversity and inclusion.
Hiring process
- Applications accepted on an ongoing basis until the position is filled.
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