1 day ago
Base Salary
$158k - $214k/yr
Responsibilities
- Build and scale ML infrastructure for data processing, distributed training, and model serving.
- Optimize GPU utilization, training throughput, serving latency, and infrastructure costs.
- Own training-data pipelines, including ingestion, schema evolution, backfills, and data quality checks.
- Partner with Applied Scientists to shorten the path from experimentation to production.
- Improve model serving and feature delivery for continuous experimentation.
- Automate large-scale data analysis, model training, validation, and deployment processes.
- Operate high-volume, low-latency production systems through monitoring, alarming, troubleshooting, and on-call support.
Requirements
- At least 3 years of non-internship professional software development experience.
- At least 1 year designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications, tools, systems, or services using C#, C++, Java, or Perl.
- Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Experience with machine learning and LLM fundamentals, including model architecture, training and inference lifecycles, and execution optimization.
- Experience developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
- Preferred experience with the full software development lifecycle, coding standards, code reviews, source control, build processes, testing, and operations.
- Preferred experience debugging, profiling, and applying software engineering best practices in large-scale systems.
Benefits
- Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D insurance, and optional supplemental life plans.
- Employee assistance, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units are included in the Amazon compensation package.
- Position is based in New York, NY, USA.
Categories
Data EngineeringML Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.