Job description

Amazon seeks a Software Engineering Domain Expert to provide strategic oversight of human-in-the-loop and model-in-the-loop data pipelines that power next-generation AI solutions. This role sits at the intersection of intellectual rigor and technological innovation — blending deep software development expertise with advanced analytical skills to ensure data excellence at every stage of the Model Training pipeline. The Domain Expert owns high-quality data output from end to end, translates training data needs into scalable engineering solutions, and fosters iterative development practices that raise the bar for the entire team. Beyond individual technical contribution, this role builds organizational capability through hands-on mentorship of junior engineers and strategic guidance on data quality standards. The right candidate thrives in ambiguity, brings clarity to difficult problems, and delivers measurable impact on the effectiveness and reliability of AI systems that serve millions of customers. We are looking for candidates with expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures, experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm, and knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends. Key job responsibilities • Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support • Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization • Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops • Foster team excellence through mentorship and motivation of peers and junior team members • Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs • Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. • Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain innovative • Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency • Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs . USA, MA, Boston - 143,700.00 - 194,400.00 USD annually USA, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
Foster team excellence through mentorship and motivation of peers and junior team members
Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain innovative
Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, MA, Boston - 143,700.00 - 194,400.00 USD annually
USA, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually

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Keywords to mirror

aimlllmjava

Platform: amazon
Effort: medium

Benefits

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Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave