Sr. Software Dev. Engineer/MLE, AGI Customization

Job Description

Locations

• United States, MA, Boston, Boston, MA, United States
• United States, CA, Sunnyvale, Sunnyvale, CA, United States
• United States, WA, Bellevue, Bellevue, WA, United States

Salary

Salary not disclosed

Skills Required

• - 7+ years of non-internship professional software development experienceintermediate
• - 7+ years of programming with at least one software programming language experienceintermediate
• - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
• - Experience as a mentor, tech lead or leading an engineering teamintermediate

Required Qualifications

• - 7+ years of non-internship professional software development experience (experience, 7 years)
• - 7+ years of programming with at least one software programming language experience (experience, 7 years)
• - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 5 years)
• - Experience as a mentor, tech lead or leading an engineering team (experience)

Preferred Qualifications

• - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 5 years)
• - Bachelor's degree in computer science or equivalent (degree in computer science or equivalent)
• - Experience building complex software systems that have been successfully delivered to customers (experience)
• - Experience writing low level drivers (experience)
• 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. (experience)
• 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. (experience)

Responsibilities

• The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
• Responsibilities-
• - Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
• - Work closely with Applied scientists to process data, scale machine learning models while optimizing
• - Will work in an Agile/Scrum environment to deliver high quality software.
• About the team
• 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
• Work/Life Balance
• Our team puts a high value on work-life balance. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Documents

• Accommodations Information (web)
• https://www.aboutamazon.com/workplace/employee-benefits (web)

Application Instructions

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