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Senior Applied Scientist, AGI Innovations
2 months ago
Amazon's AGI Web & Knowledge Services division is on the lookout for a dedicated and innovative Applied Scientist to spearhead the creation of cutting-edge information retrieval systems. As a vital member of our pioneering AGI-IR team, you will be instrumental in crafting advanced AI solutions tailored for a multi-modal future at scale.
In this capacity, you will collaborate with esteemed researchers and engineers to empower our clients to effortlessly engage with unstructured and semi-structured data through sophisticated functionalities such as question answering, contextual search, and multi-turn dialogues. Your contributions will significantly influence our clientele through products and services that harness various machine learning, deep learning, and language model technologies.
Key Responsibilities:
- Utilize your technical knowledge and experience to demonstrate leadership in addressing large, intricate challenges, guiding the direction, and working alongside applied scientists and engineers to devise innovative algorithms and modeling techniques that facilitate timely, relevant, and engaging interactions.
- Capitalize on Amazon's extensive data and computational resources to propel advancements in the state of the art.
- Adopt a customer-centric approach, utilizing insights to balance trade-offs among different modeling strategies.
- Collaborate with software engineering teams to incorporate successful experimental outcomes into complex Amazon production systems.
- Present findings to both technical and business audiences in a statistically rigorous and compelling manner, showcasing exemplary scientific practices within a business context.
- Promote best practices, contributing to the establishment of high scientific and engineering standards within the team.
- Encourage a culture of experimentation and applied science at Amazon.
Basic Qualifications:
- Proficiency in programming languages such as Java, C++, Python, or similar.
- PhD or Master's degree with a minimum of 3 years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- Experience in areas including algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
- At least 1 year of experience in developing models for business applications.
Preferred Qualifications:
- PhD in Electrical Engineering, Computer Science, or Mathematics with a focus on natural language processing, recommendation systems, or information retrieval.
- Hands-on experience with Visual LLMs.
- Publications in peer-reviewed NLP/ML conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, CVPR).
- A track record of scientific thinking and innovation, with contributions that have advanced the field.
- Experience with distributed systems, web services, or large-scale data processing.
- Strong written and verbal communication skills.
Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Compensation: Our compensation reflects the cost of labor across various US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is determined by several factors including market location and may vary based on job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.
