Job Description
- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
We are looking for a Senior Software Development Engineer (SDE III) to leverage our cloud services, unique data, the latest machine learning methods and big data technologies to develop solutions that help our self-service advertisers reach their full potential. You will have the opportunity to collaborate closely with our software leaders, learn new technologies, innovate, and contribute to new ads products that our global customers use daily.
This is no ordinary software engineering role. You'll be tackling complex, industry-defining challenges, leveraging the right technologies to create reliable, high-performance solutions. From decomposing ambiguous problems into clear, straight-forward implementations to collaborating with product managers on new feature ideas, every day will bring novel obstacles to overcome.
What makes this role unique? For starters, you'll have the autonomy and experimentation of a start-up environment, backed by the resources and scale of Amazon. You'll work closely with industry experts, senior engineers, learning from their expertise while also contributing your own innovative thinking. And you'll see the direct impact of your work reflected in the experiences of Amazon's vast customer base.
The ideal candidate has a proven track record of delivering new products and features, with a deep understanding of computer science fundamentals, experience building large-scale distributed systems and machine learning infrastructure. You're a self-starter who thrives in fast-paced, collaborative environments, with strong verbal and written communication skills. Most importantly, you're passionate about solving complex problems on behalf of customers.
Key job responsibilities
In this role, you will:
- Design, develop, test, deploy, deliver, and maintain distributed ML systems that are core to Amazon’s Advertising stack.
- Have the opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.
- Brainstorm with product management and partner teams about new ideas, technical design and project plans; make data-driven decisions to inform product prioritization.
- Drive mission critical projects, work with senior and principal engineers and mentor junior level engineers.
A day in the life
- You will interact with product managers, solution architects and customer success teams to understand business needs and identify technical solutions
- You will manage recommendation/ranking systems and the underlying data and feature engineering pipelines/systems to optimize customer outcomes and cost
Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys.
Work/Life Harmony
Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
- 5+ 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
- 3+ years of leading design and implementation of machine learning systems in production.
- Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing
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 $151,300/year in our lowest geographic market up to $261,500/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.
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