$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Cupertino, CA · On-site
$152K - $201K/yr
This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you ...
Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing ...
Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is ...
AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is ...
Lafayette, LA · On-site
$61.75 - $81.25/hr
AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...
Lafayette, LA · On-site
$61.75 - $81.25/hr
AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
Annapurna Labs (our organization within AWS Utility Computing) designs silicon and software that ... As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
The AWS Neuron Science Team is looking for talented scientists to enhance our software stack ... Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System ...
JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise ... The ideal candidate should have experience deploying ML models into production, working with AWS ...
JOB SUMMARY Seeking a hands-on Machine Learning Engineer with strong Python programming expertise ... The ideal candidate should have experience deploying ML models into production, working with AWS ...
Parsippany, NJ · On-site
$65 - $85.50/hr
AWS Machine Learning Specialty * Exposure to Kubernetes and cloud-native deployment patterns * Strong communication and stakeholder management skills
Parsippany, NJ · On-site
$65 - $85.50/hr
AWS Machine Learning Specialty * Exposure to Kubernetes and cloud-native deployment patterns * Strong communication and stakeholder management skills
Baltimore, MD · On-site +1
$62.50 - $82.50/hr
AWS AI Practitioner or AWS Machine Learning Specialty preferred
Baltimore, MD · On-site +1
$62.50 - $82.50/hr
AWS AI Practitioner or AWS Machine Learning Specialty preferred
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Cupertino, CA · On-site
$128K - $177K/yr
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference ...
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for ...
AI Developer - Natural Language Processing, Machine Learning & AWS Loction: New York, NY (Need Onsite day 1, hybrid 3 days from office ) . Duraiton: Long term Position type: W2 contract We are ...
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AI Developer - Natural Language Processing, Machine Learning & AWS Loction: New York, NY (Need Onsite day 1, hybrid 3 days from office ) . Duraiton: Long term Position type: W2 contract We are ...
Irvine, CA · On-site
$68.50 - $88/hr
Job summary Oversee end-to-end Architecture including design and maintenance of a scaled Data Lake in AWS for use in Machine Learning and related data analytics. Required availability is 99.9%+ ...
Irvine, CA · On-site
$68.50 - $88/hr
Job summary Oversee end-to-end Architecture including design and maintenance of a scaled Data Lake in AWS for use in Machine Learning and related data analytics. Required availability is 99.9%+ ...
$10.10 - $17.90
4% of jobs
$17.90 - $25.70
0% of jobs
$25.70 - $33.50
0% of jobs
$33.50 - $41.30
0% of jobs
$41.30 - $49.10
2% of jobs
$49.10 - $56.91
5% of jobs
$61.64 is the 25th percentile. Wages below this are outliers.
$56.91 - $64.71
22% of jobs
The median wage is $70.20 / hr.
$64.71 - $72.51
23% of jobs
$79.99 is the 75th percentile. Wages above this are outliers.
$72.51 - $80.31
19% of jobs
$80.31 - $88.11
16% of jobs
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8% of jobs
$10
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$95
An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.
To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.
In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.
$152K - $201K/yr
Full-time
Posted yesterday
7.4
Based on 6,925 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS.
As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks
You will also contribute technically by reviewing designs and implementing features.
A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations.
In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS.
The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software
You should have a demonstrable track record of successful open-source collaboration and contributions, along with experience working with ML frameworks such as PyTorch or JAX. Excellence in cross-functional team leadership and communication is essential.
Key job responsibilities
* Responsible for the overall systems development life cycle
* Management and execution against project plans and delivery commitments
* Manage the day-to-day activities of the engineering team
* Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team
* Report on status of development, quality, operations, and system performance to management.
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
It services, book publishers, retail, real estate and computer and electronic product manufacturing
10,000+ Employees
Seattle, WA, US
