The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDM to lead a high-performing team of MLEs/SDEs building industry-leading, Generative AI (GenAI) powered conversational assistant capabilities using latest techniques like pre-training (PT), supervised fine tuning (SFT), reinforcement learning (RL) and various prompt optimization techniques.
In this role, you will be responsible for leading the development of high performance, low latency, innovative modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
Key job responsibilities
Key job responsibilities
- Lead and grow a team of ML/software engineers, providing technical mentorship and career development while fostering an inclusive and collaborative environment
- Own the technical strategy and roadmap for key platforms and software needed for developing, evaluating and deploying large language models required for building conversational agents
- Drive architectural decisions and technical excellence in building scalable ML pipelines and frameworks
- Partner with product, science, and platform teams to define and execute on the team’s technical vision
- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards
- Build mechanisms to measure and improve the customer impact of our ML systems
- Lead hiring and development of diverse technical talent
- Drive operational excellence in deploying and maintaining large-scale ML systems
- Influence cross-team technical decisions and contribute to broader organizational strategy
- Champion best practices in ML engineering, including experimentation, testing, and monitoring
About the team
Join our CAMEL team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teams- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
