Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Job summary
The AI Data Team in Amazon Web Services (AWS) is looking for a Senior Language Engineer ready to dive deep and think big about developing solutions for natural language data collections. This position is an opportunity to apply your expertise in a challenging but supportive environment. The position may be remote, or located in Santa Clara, Seattle, or New York City.
The mission of the AI Data Team is to engineer the datasets critical to the success of AWS’s machine learning services. From chatbots to subtitles to search results and beyond, these products support dozens of languages and impact millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.
As a Senior Language Engineer, you will start by learning the full context of critical projects for Transcribe spoken language understanding (SLU) services. You will consult with stakeholders in science, engineering, and product teams to understand the role data plays in developing models that meet customer needs. You will lead the data collection and annotation strategy for multiple key projects, with a focus on iterative analysis and course correction. You will use your hands-on data analytics skills and up-to-date knowledge of machine learning (ML) techniques when collaborating with scientists to ensure that datasets are optimized for model performance. You will raise issues regarding data availability and level of effort for data collection and propose solutions to overcome potential obstacles.
You will then expand your scope to plan and implement high impact initiatives. You will gain an understanding of the language engineering needs across the various programs supported by the AI Data Team and coordinate with your colleagues to identify opportunities for innovation. You will use data-driven reasoning to quantify the benefits to AI/ML programs and to secure the necessary resources.
You will also function as a technical expert in data-centric AI, staying up to date in developments in the field and sharing your knowledge with colleagues across AWS. You will experiment with new techniques in data collection and annotation. You will collaborate with science teams to develop more effective workflows and influence the roadmap for tooling to support data collection processes.
Key job responsibilities
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
The pay range for this position in Colorado is $93,400.00 -160,000 (yr.); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year