Senior Applied Scientist, Annapurna ML

Annapurna Labs (U.S.) Inc.; Cupertino (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, California seeks an Applied Scientist to push hardware-aware ML for Trainium and Inferentia.

You will own end-to-end model and algorithm decisions from research to production, publishing work at top venues and collaborating with distinguished engineers and scientists in a strategic AWS growth area. You will work on low-precision training/inference, Trn-friendly architectures, system-aware optimizers, and GenAI for systems, influencing what gets built into

Qualifications

• PhD or MS with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• 3+ years building ML models for business applications.
• Experience with neural deep learning methods.

Responsibilities

• Own scientific problems end-to-end from research through production impact.
• Develop production-quality code in PyTorch or JAX for large-scale systems.
• Collaborate with foundation-model, engineering, and hardware teams.
• Mentor scientists and interns and help shape technical roadmap.
• Publish research at top venues and engage with the scientific community.

Skills

Java/C++/Python

Deep learning

ML models

Education

PhD or MS + 6+ years research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Description

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 systems that give the 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.

Basic Qualifications:

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• 3+ years of building machine learning models for business application experience
• Experience with neural deep learning methods and machine learning

Preferred Qualifications:

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

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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 .