Senior Machine Learning Engineer, Bedrock
Senior Machine Learning Engineer, Bedrock
Posted on :
20-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 151300 - 261500
Vacancy
1 Vacancy
Posted on :
20-05-2025
Job Description
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Looking for a highlyskilled Senior Machine Learning Engineer to lead the development and delivery of technologies to push the boundaries of efficient inference for open source Generative Artificial Intelligence (GenAI) models. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization Speculative Decoding and Long Context for inference efficiency.
Key job responsibilities
* Create solutions that facilitate the usage and building of artificial intelligence workflows and optimize them for cost and latency.
* Collaborate with crossfunctional teams of engineers and scientists to identify and solve complex problems in GenAI
Design prototype and evaluate new inference engines and optimization techniques
Participate in deepdive analysis and profiling of production code. Optimize inference performance across various platforms
Hold a high bar for technical excellence within the team and across the organization
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
*** Please continue to use the below tagline in all job postings as the statement has been approved by all stakeholders and aligns with Amazons working culture.
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
EEO/Accommodations
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 let us know and we will connect you to our accommodation team. You may also reach them directly by visiting 5 years of noninternship professional software development experience
5 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
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Experience with inference frameworks such as vllm PyTorch TensorFlow TensorRT etc.
Proficiency in performance optimization on GPU or Trainiums
Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA
Experience with latencysensitive optimizations and realtime inference
Knowledge of model optimization techniques
Strong communication skills and ability to work in a collaborative environment
Passion for solving complex problems and driving innovation in AI technology
(MS/Phd) in Mathematics or Electrical engineering with sufficient coding expertise CUDA/kernals preferred
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 Companys 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 for more information. If the country/region youre applying in isnt 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 $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Looking for a highlyskilled Senior Machine Learning Engineer to lead the development and delivery of technologies to push the boundaries of efficient inference for open source Generative Artificial Intelligence (GenAI) models. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization Speculative Decoding and Long Context for inference efficiency.
Key job responsibilities
* Create solutions that facilitate the usage and building of artificial intelligence workflows and optimize them for cost and latency.
* Collaborate with crossfunctional teams of engineers and scientists to identify and solve complex problems in GenAI
Design prototype and evaluate new inference engines and optimization techniques
Participate in deepdive analysis and profiling of production code. Optimize inference performance across various platforms
Hold a high bar for technical excellence within the team and across the organization
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
*** Please continue to use the below tagline in all job postings as the statement has been approved by all stakeholders and aligns with Amazons working culture.
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
EEO/Accommodations
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 let us know and we will connect you to our accommodation team. You may also reach them directly by visiting 5 years of noninternship professional software development experience
5 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
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Experience with inference frameworks such as vllm PyTorch TensorFlow TensorRT etc.
Proficiency in performance optimization on GPU or Trainiums
Proficiency in kernel programming for accelerated hardware using programming models such as (but not limited to) CUDA
Experience with latencysensitive optimizations and realtime inference
Knowledge of model optimization techniques
Strong communication skills and ability to work in a collaborative environment
Passion for solving complex problems and driving innovation in AI technology
(MS/Phd) in Mathematics or Electrical engineering with sufficient coding expertise CUDA/kernals preferred
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 Companys 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 for more information. If the country/region youre applying in isnt 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 $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
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