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2 Days ago

Machine Learning Engineer

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Surat, Gujarat, India
Information Technology
Other
Advanced Micro Devices

Overview

Machine Learning Engineer

  • Bangalore, India
  • Engineering
  • 66205

Job Description



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_




SMTS SOFTWARE DEVELOPMENT ENGINEER

THE ROLE:
AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of Advanced Rendering Research, and will work with the very latest hardware and software technology.

THE PERSON:
The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.

KEY RESPONSIBILITIES:
  • Work with AMD’s architecture specialists to improve future products
  • Data-Driven Insights & Roadmap Influence: Analyze model performance on key metrics to identify areas for improvement and directly influence our future R&D roadmap.
  • Hypothesis-Driven Experimentation: Develop and formulate hypotheses regarding model and data performance, potential improvements, and areas for optimization. Design, execute, and rigorously analyze experiments to validate or refute these hypotheses.
  • Metric Definition & Dashboarding: Identify and define the appropriate metrics (e.g., perceptual quality scores, fidelity metrics, artifact detection rates) to track model and data performance and improvements. Implement these metrics in accessible dashboard and pipeline with fast turn-around for changes.
  • Collaboration & Cross-Functional Alignment: Work closely with research, engineering and QA teams to translate data insights into actionable strategies.
  • Data Infrastructure & Efficiency: Build and maintain data tables, scripts, and processes to streamline data analysis, improve efficiency, and make data more readily accessible to the team.
  • Model Evaluation & Tuning: Contribute to the evaluation of generated images and videos, identifying areas for model refinement and potential training data improvements.
  • Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
  • Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
  • Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
  • Strong object-oriented programming background, C/C++ preferred
  • Ability to write high quality code with a keen attention to detail
  • Extensive experience in data analysis and performance metrics evaluation, particularly in machine learning or AI models.
  • Proficiency in hypothesis-driven experimentation and statistical analysis.
  • Familiarity with defining and implementing performance metrics, especially in the context of perceptual quality and fidelity.
  • Experience with building and maintaining data pipelines, dashboards, and data infrastructure for efficient analysis.
  • Strong collaboration skills with the ability to work cross-functionally with research, engineering, and quality assurance teams.
  • Background in model evaluation and tuning, with a focus on image and video generation.
  • Knowledge of current software and hardware trends related to algorithms and architectures.
  • Demonstrated experience in debugging and optimizing existing processes or systems.
  • Previous engagement in developing technical relationships with peers and industry partners.
  • Familiarity with tools and technologies used in data analysis, such as SQL, Python, or similar programming languages.
  • Experience with Windows, Linux and/or Android operating system development
  • Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
  • Effective communication and problem-solving skills
  • Motivating leader with good interpersonal skills

ACADEMIC CREDENTIALS:
  • Master's degree or PHD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

#LI-NS1


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.
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