Are you looking to work at the forefront of Machine Learning and AI? Do you think outside the box and enjoy tackling difficult problems?
Devices and Services Security protects popular consumer products including Alexa, Echo, Fire TV and Kindle.
We're seeking a Machine Learning Engineer to develop AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to advance security in our products. You will own the design of major security tooling, infrastructure, define development roadmaps, own key deliverables and have opportunities to build them from scratch. You will interact directly with Security Engineers and convert their vision into a technical solution.
Key job responsibilities
In this role, you will:
- Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide a scalable production solutions to improve security
- Interact with product stakeholders directly to understand the business problem and iterate
- Analyze and extract relevant information from large amounts of historical data
- Work closely with science and engineering teams to drive model implementations and new algorithms.
- Mentor junior team members technically
A day in the life
Expect to launch and iterate closely with product teams in an Agile environment.
You'll work directly with Security Engineers, but also product, and other key stakeholders to launch, iterate, and ultimately protect users in every corner of the globe.
About the team
Diverse Experiences
Security roles benefit from a diverse range of experiences. The ability to think outside the box helps us stay ahead of attackers. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon's products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build
experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Training & Career Growth
To stay ahead of attackers, we need to constantly be Learning. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home. When we feel supported in the workplace and at home, there's nothing we can't achieve.
BASIC 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
- Bachelor's degree in computer science or equivalent
- 2+ years of relevant experience developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Experience working with highly unbalanced and unlabeled data
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2. Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training
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.
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 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 $129,300/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.
