The posting
The Search Engine organization designs, builds, and operates highly performant, fault-tolerant and scalable distributed search engine used by millions of Amazon customers worldwide every day.
We are evolving our search engine to better understand natural language queries and to be more personalized. This involves leveraging LLMs and other Deep Learning models in different parts of the search stack to improve the search experience.
Ideal candidates are expected to have an extensive background in distributed systems and experience with machine learning infrastructure. Strong candidates will have knowledge of LLM fundamentals and some experience in GPU programming.
Key job responsibilities Technical Leadership - Lead development of LLM/deep-learning relevance and ranking systems serving billions of queries at scale - Improve search engine efficiency to reduce infrastructure cost - Drive architecture and design decisions aligned with the search org vision - Own full development and operations lifecycle of your team’s products
Team & People Management - Manage engineering team: staffing, day-to-day execution, delivery commitments, and mentoring and career growth - Report on development progress, quality, operations, and system performance
Strategy & Collaboration - Define long-term vision and growth plans in partnership with Science and Engineering leaders - Set development priorities and evangelize the team's work across the org
- 5+ years of engineering team management experience - 10+ years of working directly within engineering teams experience - 8+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders - Deep familiarity with the ML/DL infrastructure space and technologies, and experience owning large-scale, low-latency distributed systems that deploy and run ML models
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.
USA, CA, Palo Alto - 212,700.00 - 287,700.00 USD annually
