Applied Scientist II, AWS Neuron Science - Core Algorithm

Amazon Inc.; Seattle (WA); Hybrid; USD 172,000 - 222,000; Full time

Job summary

Amazon seeks an Applied Scientist II to push hardware-aware ML for Trainium and Inferentia. You will own model and algorithm decisions from research through production, publish at top venues, and work alongside distinguished engineers and scientists in a strategic AWS growth area.

We actively work on low-precision training and inference, Trn4 datatype exploration, and system-aware optimizers. Develop production-quality PyTorch or JAX code and mentor others, shaping the technical roadmap.

Qualifications

• PhD or Master's degree with 4+ years in CS/CE/ML or related field.
• Experience with state-of-the-art DL models and training/optimization.
• Proficiency in Java, C++, Python or related languages.

Responsibilities

• Own scientific problems end-to-end—from research to production impact.
• Develop production-quality code in PyTorch or JAX and integrate components into large-scale systems.
• Collaborate with foundation-model, engineering, and hardware teams to influence Trainium and product stack.
• Mentor scientists and interns and contribute to the technical roadmap.
• Publish research at top venues (ICLR, NeurIPS, ICML, MLSys).

Skills

state-of-the-art DL architectures

PyTorch or JAX

production-quality code

model pruning

Education

PhD or Master's + 4+ years in CS/ML/CE

Job description

Applied Scientist II, AWS Neuron Science - Core Algorithm

The AWS Neuron Science Core Algorithm team is looking for talented Applied Scientists to push the frontier of hardware-aware machine learning for Trainium and Inferentia, the AWS Machine Learning accelerators. In this rare role at the intersection of LLM modeling, large-scale training systems, and hardware/datatype co-design, you own model and algorithm decisions jointly with AWS custom silicon. You will own solutions end-to-end from research through production, publish at top venues, and work alongside distinguished engineers and scientists in a strategic growth area for AWS.

We actively work on these areas:

• Low-precision training and inference: MXFP8, MXFP4, and sub-4-bit training and inference recipes, stochastic rounding, and Trn4 datatype exploration.
• Trn-friendly architectures: model architectures that exploit hardware strengths without sacrificing quality.
• System-aware optimizers & efficient distributed systems: efficient optimizers and distributed system that gives best accuracy, co-designed with the hardware.
• Foundation-model pre-training accuracy: end-to-end validation across model scales, catching training divergence early, and equivalence-checking tooling.
• GenAI for systems: RL post-training for NKI kernel generation, mitigating reward-hacking and accelerating under low precision on Trn.

Key job responsibilities

• Own scientific problems end-to-end - from research and experimentation through production impact - applying rigorous evaluation to complex, ill-defined problems at large scale.
• Develop production-quality code in PyTorch or JAX and integrate scientific components into large-scale training and inference systems with operational excellence and efficient resource usage.
• Partner with foundation-model, engineering, and hardware-architecture teams so your findings directly inform what gets built into Trainium and shipped in the product stack.
• Mentor fellow scientists and interns, give constructive peer reviews, and help shape team goals, priorities, and the technical roadmap.
• Author and publish research at top peer-reviewed venues (ICLR, NeurIPS, ICML, MLSys) and engage the broader scientific community.

About the team

AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it's all being enabled by AWS Neuron. Neuron is a software that includes an ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Amazon FMR, Amazon AGI, Amazon Bedrock, Amazon Robotics, Amazon Ads, and many more.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• 3+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

Preferred Qualifications

• Experience in professional software development
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Knowledge of standard speech and machine learning techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits .

USA, CA, Cupertino - 171,600.00 - 222,200.00 USD annually