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5mo ago

Machine Learning Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence AWS C Sharp

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Amazon.com Services LLC invites a Machine Learning Engineer to join its AWS Applied AI Solutions team. The role centers on turning research into production-ready ML and Generative AI systems, taking ownership of end-to-end deployment, and collaborating with scientists and engineers to deliver scalable, impactful solutions.

Location

Seattle, WA (onsite)

Compensation

USD 143,700 - 194,400 per year

Responsibilities

Partner with Applied Scientists and cross-functional engineers to translate research code into robust, scalable production systems
Own end-to-end deployment of Generative AI and ML methods at scale, ensuring reliability and performance
Build scalable, efficient automated processes for large-scale data analysis, model development, validation, and serving
Explore and apply innovative approaches for efficient model deployment, training, and optimization
Document processes and methods for technical and non-technical audiences to enable knowledge transfer and establish best practices
Contribute to code reviews and uphold high engineering standards across the team
Mentor junior ML Engineers and participate in recruiting top talent to grow the team
Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience focusing on design patterns, reliability, and scaling of new and existing systems
1+ years of software development engineer or related occupational experience
1+ years designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications and services using C#, C++, Java, or Perl
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language

Technologies

C#, C++, Java, Perl

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments and RSUs

Preferred Qualifications

3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor's degree in computer science or equivalent

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5mo ago

Machine Learning Engineer II, Special Projects

Amazon.com Services LLC Seattle, WA

Seattle, WA

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence Large Language Models Machine Learning

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Machine Learning Engineer II, Special Projects, at Amazon.com Services LLC, Seattle, WA (onsite), with a salary range of USD 143,700 - 194,400 per year, focuses on innovating at scale with Generative AI and LLMs, collaborating with applied scientists to process massive data, scale models, and develop platforms for training, evaluating, and deploying LLMs in real-world applications.

Responsibilities

Rapidly assimilate cutting edge Generative AI technologies and algorithms to contribute to building leading LLMs.
Own the design, development, and upkeep of core platforms used to train, evaluate, and deploy LLMs in real-world settings.
Collaborate with teammates to explore design options, prototype novel tech, and assess feasibility.
Partner with applied scientists to ingest large-scale data, scale machine learning models, and optimize performance.
Demonstrated experience in distributed training of models.

Requirements

At least 2 years of professional software development experience (non-internship).
At least 2 years of design or architecture experience covering design patterns, reliability, and scaling for new and existing systems.
Proficiency in at least one programming language.

Benefits

Health coverage
401(k) with company match
Paid time off
Parental leave
Sign-on incentive
Restricted stock units (RSUs)

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5mo ago

Machine Learning Engineer, OIS-Core Engine

Amazon.com Services LLC Austin, TX

Austin, TX

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence DevOps Engineer

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Based in Austin, TX and onsite, this opportunity from Amazon.com Services LLC offers a competitive annual salary range of USD 143,700 to 194,400. You’ll join the OIS-Core Engine team within Amazon Infrastructure Engineering’s AI and ML arm, developing ML software that enhances performance, durability, cost efficiency, and security across Amazon’s global infrastructure. Expect a startup‑like development environment that emphasizes high‑impact work, cross‑functional collaboration, and delivering solutions to a broad customer base.

Responsibilities

Address complex technical challenges across the full stack, including novel problems at multiple layers.
Design, implement, test, deploy, and maintain innovative ML solutions that boost service performance, resilience, cost efficiency, and security.
Deliver high‑impact ML capabilities to a large customer base.
Build high‑quality, highly available, always‑on products.
Investigate implementations to optimize the customer experience.
Participate in design discussions, code reviews, and communicate with internal and external stakeholders.
Collaborate cross‑functionally to drive business solutions with your technical input.
Work in a startup‑like development environment, focusing on the most important work.

Requirements

3+ years of non‑internship professional software development experience
2+ years of design or architecture experience for new or existing systems, including design patterns, reliability, and scaling
1+ years of software development engineer or related experience
1+ years designing and developing large‑scale, multi‑tiered, multi‑threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
1+ years of Object‑Oriented design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language

Technologies

C#
C++
Java
Perl

Benefits

Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for supplemental life plans
Employee Assistance Program (EAP)
Mental health support
Medical advice line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
401(k) matching
Paid Time Off
Maternity and parental leave options

Preferred Qualifications

3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor's degree in computer science or equivalent

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5mo ago

Machine Learning Engineer II

Amazon.com Services LLC Boston, MA

Boston, MA

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence Large Language Models Machine Learning

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Located onsite in Boston, MA, this Machine Learning Engineer II role on Amazon's AGI team offers a salary range of USD 143,700 - 194,400 per year to pioneer novel LLM training techniques and advance multimodal Generative AI initiatives.

Responsibilities

Lead the design and implementation of innovative LLM training techniques and optimization strategies to push the capabilities of language models.
Collaborate with Applied Scientists and leverage Amazon's diverse data assets and massive compute resources to accelerate multimodal LLM and Generative AI development.

Requirements

3+ years of full-time, non-internship software development experience
2+ years in the design or architecture of new or existing systems, focusing on patterns, reliability, and scalability
Proficiency in at least one programming language
Bachelor's degree

Benefits

Health coverage including medical, dental, vision, and prescription
401(k) matching
Paid time off
Parental leave
Basic Life and AD&D insurance with the option for supplemental coverage
Adoption and surrogacy reimbursement
Flexible Spending Accounts
Employee Assistance Program
Mental health support
Medical advice line

Mentorship & Career Growth

Our team is committed to supporting new members through a collaborative environment with varied experience levels. Senior engineers provide one-on-one mentoring and constructive code reviews, while project assignments are selected to help engineers grow into more capable, complex roles over time.

Work/Life Balance

We place a high value on balance and offer flexible working hours to help you manage personal and professional commitments.

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5mo ago

Senior Machine Learning Engineer

Amazon Development Center U.S., Inc. Seattle, WA

Seattle, WA

5mo ago Closed

$168k - $227k/yr Full time Analytics AWS Cloud

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Senior Machine Learning Engineer for AWS Identity Analytics at Amazon Development Center U.S., Inc., focusing on end-to-end ML solutions and LLM-powered analytics agents to turn identity logs and metrics into actionable insights for AWS Identity leadership.

Responsibilities

Design, build, and deploy end-to-end ML solutions that include anomaly detection, time-series forecasting, classification, and optimization to turn Identity logs, policies, and metrics into proactive insights.
Develop and operate LLM powered agents that serve as intelligent interfaces to Identity data, enabling service teams to query, explore, and act on insights through conversational interactions.
Engineer features from petabyte-scale datasets using AWS Glue, Athena, and EMR; deploy models to production environments using SageMaker, ECS, and EKS.
Collaborate with AWS Identity leadership, product managers, IAM, STS, and other service teams to define success metrics, design experiments, validate models, and translate findings into decisions.
Apply cutting edge ML, deep learning, and GenAI techniques to Identity Analytics challenges, promoting rapid experimentation and continuous learning.
Communicate complex technical concepts clearly to audiences with varying levels of technical sophistication, including senior leadership.
Mentor junior engineers and contribute to the team's long term technical direction.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming experience in at least one software language
5+ years leading design or architecture of new and existing systems, focusing on design patterns, reliability, and scalability
Experience as a mentor, tech lead, or leading an engineering team
Experience with machine learning and large language model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
Bachelor's degree in computer science or equivalent

Technologies

Glue
Athena
EMR
SageMaker
ECS
EKS

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
paid time off
parential leave
sign-on payments
restricted stock units (RSUs)

Details

Location: Seattle, WA (onsite)
Salary: USD 168,100 - 227,400 per year
Minimum Experience: 5 years

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5mo ago

Sr. Machine Learning Engineer, Special Projects

Amazon.com Services LLC Seattle, WA

Seattle, WA

5mo ago Closed

$168k - $227k/yr Full time Senior Data Engineer Data Processing

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Sr. Machine Learning Engineer, Special Projects at Amazon.com Services LLC in Seattle, WA (onsite); salary USD 168,100 - 227,400 per year.

Responsibilities

Spearhead large-scale technical initiatives and make critical architectural decisions
Identify and resolve complex technical challenges, often in ambiguous problem spaces
Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows
Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs
Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure
Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts
Mentor and guide MLEs and SDEs, fostering their growth and the overall team’s capabilities

Requirements

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

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

About the Team

We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence.
We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things.
You need to be a fast learner able to independently disambiguate requirements.

A Day in the Life

Our main data consumers and producers are science teams.
You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services, and provide operational support to mitigate issues.
Your work will largely involve data services and pipelines.

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5mo ago

Machine Learning Engineer, AWS Neuron Inference, Annapurna ML

Annapurna Labs (U.S.) Inc. Seattle, WA

Seattle, WA

5mo ago Closed

$144k - $194k/yr Full time Artificial Intelligence AWS Aws Neuron

This position is no longer accepting applications (closed Jun 6, 2026).

Job Description

Machine Learning Engineer for AWS Neuron Inference on Annapurna ML, onsite in Seattle, WA, focused on building blocks for Neuron distributed inference on Trn2/Trn3 and optimizing LLM inference performance.

Responsibilities

Develop, enable, and finely tune core components across major ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek, and more.
Build optimized building blocks for the Neuron distributed inference library, calibrating them to maximize performance on Trn2 and Trn3 servers.
Define metrics, implement automation, and drive improvements while identifying and resolving root causes of software defects.
Engage in design discussions, conduct code reviews, and communicate with internal and external stakeholders.
Collaborate cross-functionally with teams across Neufon in a fast-paced, startup-like development environment that adapts to evolving AI priorities.

Requirements

3+ years of non-internship professional software development experience
2+ years of non-internship experience in design or architecture of new or existing systems (design patterns, reliability and scaling)
Experience programming in at least one software programming language
3+ years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
Bachelor's degree in computer science or equivalent

Technologies

Python
PyTorch
JAX
AWS Neuron

Benefits

Health insurance
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Description

AWS Neuron provides the complete software stack for AWS Inferentia and Trainium cloud-scale ML accelerators, including the Trn2 and upcoming Trn3 servers that leverage them.

This role targets a software engineer within the Machine Learning Applications (ML Apps) team for AWS Neuron.

This position develops, enables, and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond.

About the Team

Our team is dedicated to supporting new members.
We maintain a broad mix of experience levels and tenure, fostering an environment that emphasizes knowledge sharing and mentorship.
Senior members participate in one-on-one mentoring and thorough, constructive code reviews.
Career growth is a priority, with projects assigned to help engineers expand expertise and tackle increasingly complex tasks.