Sr Language Engineer, AWS Q for Business , AWS Q for Business
DESCRIPTION
As a Senior Language Engineer in AWS Q for Business Data Team, you will start by diving deep into a high profile project to launch a new product offering. 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, 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 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.
BASIC QUALIFICATIONS
* PhD in Computational Linguistics (or similar quantitative field), or equivalent experience * 3+ years industry experience developing natural language processing products * Proficiency in scripting and analytics tools such as Python or R * Experience leading data collection projects, including annotation workflow and data quality assessments * Experience in developing and evaluating data annotation and data quality metrics * Understanding of the ML model development process * Strong written and verbal communication skills, with an ability to present complex technical information in a clear and concise manner to a variety of audiences
PREFERRED QUALIFICATIONS
* Experience with programmatic approaches to annotation, including weak supervision and active learning * Experience with synthetic dataset creation * Experience working with a diverse array of languages or language varieties
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $84,000/year in our lowest geographic market up to $185,000/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.