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Applied Scientist
2 months ago
Applied Scientist - AGI - Web & Knowledge Services
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 scalable AI solutions for a multi-modal future.
Key Responsibilities- Utilize your technical acumen to lead the resolution of complex challenges, guiding the direction and collaborating with fellow scientists and engineers to devise novel algorithms and modeling techniques.
- Capitalize on Amazon's extensive data and computational resources to push the boundaries of the current state of the art.
- Adopt a customer-centric approach to inform decisions and balance various modeling strategies.
- Partner with software engineering teams to seamlessly integrate successful experimental outcomes into Amazon's sophisticated production systems.
- Present findings to both technical and business stakeholders in a statistically rigorous and compelling manner, adhering to exemplary scientific practices in a corporate context.
- Champion best practices and contribute to establishing high scientific and engineering standards within the team.
- Foster a culture of experimentation and applied science throughout Amazon.
- Proficiency in programming languages such as Java, C++, or Python.
- 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, data structures, parsing, numerical optimization, data mining, and high-performance computing.
- At least 1 year of experience in developing models for business applications.
- 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 demonstrated ability to think scientifically and inventively, with a history of 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 any other legally protected status.
