AI Scientist, Large Language Models

Feb 15, 2025
Helsinki, Finland
... Not specified
... Intermediate
Full time
... Office work


WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_




THE ROLE:

 

At AMD Silo AI engineers and researchers collaborate closely to tackle challenging real-world problems. The core competence of AMD Silo AI relies on deep academic expertise in various fields of AI, covering machine learning, natural-language processing, computer vision among others. AI Scientists are expected to build innovative AI solutions powered by, and powering, Large Language Models (LLMs) that together with engineers and software developers can be deployed in our products serving our clients.

 

THE PERSON:

 

As an AI Scientist in Large Language Models, you'll work in a top tier team of AI experts, creating next-generation methods for creating safe, reliable and robust AI models. You'll closely collaborate in a team with engineers and product developers to implement our vision of human-centric AI and specifically, LLMs. This position is located in Helsinki, Finland.

 

AI Scientists are expected to have strong publications or projects showing clear evidence of high-quality research and innovation in fields directly related to AI and proven experience and ability to implement high-performance AI solutions.

 

KEY RESPONSIBLITIES:

  • Develop, train, fine-tune and evaluate state-of-the-art transformer models
  • Create workflows and tools for fine-tuning language models 
  • Implement model parallelism and data parallelism techniques to optimize model performance through model and data parallelism
  • Collaborate with cross-functional teams to create value with LLMs.
  • Utilize reinforcement learning to instruct LLMs
  • Work with Python, SQL, and PyTorch to develop robust data solutions.
  • Investigate and implement methods to ensure model quality
  • Advance exploratory research projects in machine learning and related fields

PREFERRED EXPERIENCE:

  • PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in Artificial Intelligence and Machine Learning
  • Strong expertise and publication record in Natural Language Processing and Large Language Models and/or Reinforcement Learning.
  • Proficiency in Python, SQL, and PyTorch
  • Working proficiency in English



Benefits offered are described:  AMD benefits at a glance.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Benefits offered are described:  AMD benefits at a glance.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

THE ROLE:

 

At AMD Silo AI engineers and researchers collaborate closely to tackle challenging real-world problems. The core competence of AMD Silo AI relies on deep academic expertise in various fields of AI, covering machine learning, natural-language processing, computer vision among others. AI Scientists are expected to build innovative AI solutions powered by, and powering, Large Language Models (LLMs) that together with engineers and software developers can be deployed in our products serving our clients.

 

THE PERSON:

 

As an AI Scientist in Large Language Models, you'll work in a top tier team of AI experts, creating next-generation methods for creating safe, reliable and robust AI models. You'll closely collaborate in a team with engineers and product developers to implement our vision of human-centric AI and specifically, LLMs. This position is located in Helsinki, Finland.

 

AI Scientists are expected to have strong publications or projects showing clear evidence of high-quality research and innovation in fields directly related to AI and proven experience and ability to implement high-performance AI solutions.

 

KEY RESPONSIBLITIES:

  • Develop, train, fine-tune and evaluate state-of-the-art transformer models
  • Create workflows and tools for fine-tuning language models 
  • Implement model parallelism and data parallelism techniques to optimize model performance through model and data parallelism
  • Collaborate with cross-functional teams to create value with LLMs.
  • Utilize reinforcement learning to instruct LLMs
  • Work with Python, SQL, and PyTorch to develop robust data solutions.
  • Investigate and implement methods to ensure model quality
  • Advance exploratory research projects in machine learning and related fields

PREFERRED EXPERIENCE:

  • PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in Artificial Intelligence and Machine Learning
  • Strong expertise and publication record in Natural Language Processing and Large Language Models and/or Reinforcement Learning.
  • Proficiency in Python, SQL, and PyTorch
  • Working proficiency in English
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