SDE II - Machine Learning, Amazon Ads Identity
Amazon
- Palo Alto, CA
- $115,000 per year
- Training
- Full-time
In this role, you will:
- You'll build ML based solutions & infra that (1) handles supremely high scale (2) uses known models or optimized modes by collaborating with scientists (3) functions with our highly distributed components and (4) validate them in production WW- You'll also have an opportunity to partner with our scientists who have years of experience building ML models and experiment in production.- Solve distributed systems and ad-serving problems that manifest only at supremely high scale.- Peer with senior engineers and scientists to develop new and innovative ad identity products.- Work closely with Product management, business development, scientists and partner teams about new ideas, technical design and project plans- Make data-driven decisions to inform product prioritization.- Be an early adopter of emerging AWS technologies for AdTech use cases.- Think out of the box!A day in the life
You will work collaboratively both within and outside of the Advertising team. As a Software Engineer, you would spend most of your time architecting, designing and coding and the rest in collaboration and discussion. Since our team is in US East and West coast, we also like to have fun by taking time to celebrate each other and to spend time with remote happy hours.About the team
Joining this team, you'll experience the benefits of working in a dynamic, fast-paced environment, while leveraging the resources of Amazon.com (AMZN). We provide a highly customer-centric, team-oriented environment.AdTech Identity Program (AIP) team is spearheading innovation for the existential challenges in AdTech today: The need for reliably establishing customer identity in a IDless world without 3P cookies or Device identifiers.We are open to hiring candidates to work out of one of the following locations:Palo Alto, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience in building machine-learning infrastructure and validating in production
- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented designPREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in building large-scale machine-learning infrastructure and validating it in production
- Experience with Big Data technologies such as AWS, Hadoop, SageMaker, Hive, etc
- Strong proficiency with Java, Python, Scala or C++
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
- Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practiceAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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.