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backend software engineer Jobs in Seattle

backend software engineer

senior ml engineer

senior lead software engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Shape the Future of AI Accelerators at AWS Neuron<br>
<br>
Join the elite team behind AWS Neuron&mdash;the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.<br>
<br>
What You'll Impact:<br>
<ul><li>Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen</li><li>Optimize breakthrough language and vision generative AI models</li><li>Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration</li><li>Drive performance benchmarking and tuning that directly impacts millions of inference calls globally</li></ul><br>
Key job responsibilities<br>
You will drive the Evolution of Distributed AI at AWS Neuron<br>
<br>
As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization&mdash;it's about revolutionizing how AI models run at scale.<br>
<br>
Technical Impact You'll Drive:<br>
<ul><li>Spearhead distributed inference architecture for PyTorch and JAX using XLA</li><li>Engineer breakthrough performance optimizations for AWS Trainium and Inferentia</li><li>Develop ML tools to enhance LLM accuracy and efficiency</li><li>Transform complex tensor operations into highly optimized hardware implementations</li><li>Pioneer benchmarking methodologies that shape next-gen AI accelerator design</li></ul><br>
What Makes This Role Unique:<br>
<ul><li>Direct influence on AWS's AI infrastructure used by thousands of ML applications</li><li>Full-stack optimization from high-level frameworks to hardware-specific primitives</li><li>Creation of tools and frameworks that define industry standards for ML deployment</li><li>Collaboration with both open-source ML communities and hardware architecture teams</li></ul><br>
Your Technical Arsenal Should Include:<br>
<ul><li>Deep expertise in Python and ML framework internals</li><li>Strong understanding of distributed systems and ML optimization</li><li>Passion for performance tuning and system architecture</li></ul><br>
A day in the life<br>
Work/Life Balance<br>
Our team puts a high value on work-life balance. It isn&rsquo;t about how many hours you spend at home or at work; it&rsquo;s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br>
<br>
Mentorship &amp; Career Growth<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br>
<br>
About the team<br>
At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.<br>
We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.<br>
We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>5+ years of programming experience using Python or C++ and PyTorch.</li><li>Experience with AI acceleration via quantization, parallelism, model compression, batching, KV caching, vllm serving</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science or equivalent</li><li>Master's degree in machine learning or equivalent</li><li>Experience with accuracy debugging &amp; tooling, performance benchmarking of AI accelerators</li><li>Experience in developing CUDA kernels, HPC and inference optimization, tensors operations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
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.</div>

Sr. Software Engineer- AI/ML, AWS Neuron Apps

Hive

<p><b>About Hive</b><br/>Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world&rsquo;s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.<br/>Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!<br/><b>Staff Machine Learning Engineer</b><br/>In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.<br/><b>Responsibilities</b></p><ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul><p><b>Minimum Requirements</b></p><ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul><p><b>Who We Are</b><br/>We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.<br/>Thank you for your interest in Hive and we hope to meet you soon!</p><p>Job Type: Full-time</p><p>Pay: $200,000.00 - $300,000.00 per year</p><p>Work Location: In person</p>

Staff ML Engineer

Shopmonkey

<div><p>Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best.</p>
<p>
As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of agentic AI, applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that's not only intelligent but trusted and useful. You'll move fast to bring AI agents from discovery all the way through production, helping to shape the future of the automotive care experience. <i>Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected.</i></p>
<h2 class="jobSectionHeader"><b>
What You Will Do:</b></h2>
<ul><li>Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).</li>
<li>Design and implement workflows and scripts for agentic conversations based on real-world data.</li>
<li>Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.</li>
<li>Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.</li>
<li>Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.</li>
<li>Design evaluation agents to enhance the quality and coherence of autonomous conversations.</li>
<li>Work within a modern MLOps environment to ensure scalable and reliable deployment of models.</li>
<li>Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.</li>
<li>Translate complex ML workflows into digestible updates for cross-functional stakeholders.</li>
<li>Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.</li>
</ul><h2 class="jobSectionHeader"><b>We Are Looking For People Who Have:</b></h2>
<ul><li>Proven experience shipping models into production (not just proof-of-concepts).</li>
<li>Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.</li>
<li>Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).</li>
<li>Cloud infrastructure experience, (e.g. GCP, AWS).</li>
<li>Understanding of MLOps, including orchestration tools like Airflow or Dagster.</li>
<li>Strong collaboration and communication skills&mdash;comfortable working with PMs, designers, engineers and other cross functional team members.</li>
<li>Conducted code reviews and have to ability to provide constructive feedback</li>
<li>Bachelor's degree in a STEM field, or equivalent practical experience.</li>
<li>5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master's or PhD) may offset years of experience.</li>
</ul>
<p><i> </i>Bonus Points:</p>
<ul>
<li>Prior experience working at a high growth startup.</li>
<li>Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).</li>
<li>Background in data processing or real-time analytics.</li>
<li>Experience with Snowflake or other large-scale data warehouse solutions.</li>
</ul>
<p>In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.</p><p></p><div>
<h3 class="jobSectionHeader"><b>
Why Shopmonkey?</b></h3>
<h4 class="jobSectionHeader">Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (<b>benefits below are mainly for U.S. based, full-time employees).</b> Other benefits vary upon location outside of the United States, and employment status:</h4>
<h3 class="jobSectionHeader"><b> Health &amp; Wellness</b></h3>
<ul><li>Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date</li>
<li>Short term and long term disability</li>
<li>Employee assistance program</li>
<li>Reimbursement for a personal health and wellness membership</li>
<li>Generous parental leave</li>
<li>401(k) available upon hire</li>
</ul><h3 class="jobSectionHeader"><b>&#9992;&#65039; Time Off</b></h3>
<ul><li>11 paid holidays</li>
<li>Flexible time off - take the time off you need!</li>
</ul> <h3 class="jobSectionHeader"><b>Giving Back</b></h3>
<ul><li>Matching donations for approved charitable organizations</li>
<li>Group volunteer efforts</li>
</ul><h4 class="jobSectionHeader">Check out our founder's story, life page, or hear from real employees about what it's like to work at Shopmonkey.</h4>
<h4 class="jobSectionHeader">Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.</h4>
<h3 class="jobSectionHeader"><b>About the Industry</b></h3>
<h4 class="jobSectionHeader">The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.</h4>
<h3 class="jobSectionHeader"><b>About Shopmonkey</b></h3>
<h4 class="jobSectionHeader">Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.</h4>
<h4 class="jobSectionHeader">Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.</h4>
<h4 class="jobSectionHeader">In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.</h4>
<p>
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products &amp; Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023 and 2024.</p>
<h4 class="jobSectionHeader"><i>
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
</i></h4><h4 class="jobSectionHeader"><i>Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</i></h4>
<p><i>
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at </i><i>hiring@shopmonkey.io</i><i>.</i></p>
<p><b>
Please note: </b>Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:</p>
<ul>
<li>Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.</li>
<li>Our Talent Acquisition team only corresponds from email addresses with the domain '@Shopmonkey.io'. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.</li>
<li>While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey's Careers page, or our official LinkedIn Company Page</li>
</ul>
<p>The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.</p></div></div><p></p>

Senior ML Engineer

Uber

<div><b>About the Role</b>
<br>
<br>
We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.<br>
<br>
In this role, you'll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services.<br>
<br>
This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings.<br>
<br>
<b>Why This Role Matters</b><br>
<br>
You'll be working on the platform that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to:<br>
<ul><li>
Solve unique technical challenges at the intersection of real-time optimization and distributed systems</li><li>
Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale</li><li>
Shape the technical direction of critical business with direct P&amp;L impact</li></ul><br>
What the Candidate Will Do -<br>
<ul><li>
Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.</li><li>
Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions</li><li>
Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.</li><li>
Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.</li></ul><br>
- Basic Qualifications -<br>
<br>
<b>Exceptional Technical Background</b><br>
<ul><li>
Computer Science degree or equivalent technical education</li><li>
4+ years of industry experience with demonstrated exceptional technical impact.</li><li>
Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)</li></ul><br>
<b>
Deep Technical Expertise</b><br>
<ul><li>
Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.</li><li>
Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.</li><li>
Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.</li><li>
Experience with microservices architecture, service mesh, and observability at scale</li><li>
Exceptional coding skills in Go, Java and python, with experience in high-performance system design.</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Strong background in real-time system, math, optimization and simulation.</li><li>
Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations</li><li>
Fundamental machine learning knowledge</li><li>
Track record of operational excellence: incident management, SLA optimization, and system reliability</li></ul><br>
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Senior Software Engineer - Marketplace Real Time Supply Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads.<br>
<br>
Key job responsibilities<br>
<ul><li>Provide technical leadership to the Neuron Core Tools team</li><li>Work closely with the frameworks and compiler teams.</li><li>Collect requirements from various other teams including training, inference and runtime.</li><li>Collaborate with the compiler performance team to ensure timely release of the core performance tools.</li><li>Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.</li></ul><br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
<br>
<br>
Work/Life Balance<br>
We value work-life 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, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
About Amazon Annapurna Labs:<br>
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world&rsquo;s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.<br>
<br>
About AWS Utility Computing (UC):<br>
AWS Utility Computing (UC) provides product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
About AWS Neuron:<br>
AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it&rsquo;s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
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.</div>

Sr. Software Development Engineer, Annapurna Labs

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Shopping Video (ASV) is a new strategic program in Amazon Advertising that leverages the potential of video to help millions of customers find product inspiration through videos. ASV is seeking a *self-driven*, enthusiastic front end engineer to help accomplish our mission!<br>
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At the ASV Distribution team, we are looking for a strong front end engineers to design, lead and build E2E video experiences (low-latency rendering and responsive, modern CX). In this role, you'll have significant influence on the team's technical direction and engineering practices. In this role, you will lead and work in niche areas like livestreaming, chat, advertising and video commerce where you will have the opportunity to innovate solving technical problems that are unique and rewarding.
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This is an excellent opportunity for an engineer who likes to deliver in a fast-paced environment to demonstrate impact that will enable the explosive growth of video in Amazon.<br>
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Key job responsibilities<br>
<ul><li>Build lovable, fluid customer experiences to delight customers to view videos and shop as they watch videos working with a cross-functional group of Engineers, UX + Product team, Marketing, Applied Scientists.</li><li>Lead a group of Engineers on complex front-end projects that millions of Amazon Customers interact with every day.</li><li>Expertise in modern frontend architecture patterns, state management, and component-based design.</li><li>Experience with design system implementation and component libraries.</li><li>Experience with performance optimization for high-frequency UI updates and complex state changes.</li><li>Knowledge of accessibility standards and internationalization best practices.</li><li>Work on a wide breadth of tech (optimize video recommendations, build low-latency rendering systems and responsive, modern CX)</li></ul><br>
A day in the life<br>
You'll work with a cross-disciplinary team to design and implement Video experiences. Self-driven engineers will enjoy the autonomy to impact millions of customers regularly.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience</li><li>5+ years of front-end developer creating prototypes or wire-frames for enterprise web applications or workflows experience</li><li>Experience developing with MVC/MVM frameworks (e.g. React.JS, AngularJS, Vue)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of web services technologies such as SOAP, HTTP, WSDL, XSD, and REST</li><li>Experience in a broad range of software design approaches and common UX patterns.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,700/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.</div>

Sr. Front End Engineer, Amazon Shopping Videos (Ads)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Senior Software Development Engineer who will own the infrastructure, platform, and production systems that underpin our agentic advertiser guidance framework. In this role, you will lead the design, build, and scaling of core services such as tool orchestration, agent execution engine, evaluation pipelines, model serving/tuning infrastructure, and monitoring systems. You will work closely with applied scientists and engineers to translate prototype agent capabilities into robust, scalable production systems. You will need to rapidly learn and apply new techniques in agent deployment, model tuning, reinforcement learning infrastructure, multi-step reasoning orchestration, and system optimization. You will build APIs, pipelines, and frameworks that allow agents to reason, plan, and act reliably at scale, ensuring low latency, high throughput, resilience, fault tolerance, versioning, and safety guardrails. A critical aspect of this role is being customer-obsessed: you will work backwards from advertiser needs to ensure that infrastructure decisions enable real customer-facing experiences. You will also partner with cross-functional teams&mdash;science, product, operations&mdash;to continuously iterate the agentic architecture, evaluation metrics, and tuning loops. This is a high-impact role where you balance deep technical craftsmanship with product sensibility, setting standards, influencing architecture, and owning end-to-end delivery of agentic capabilities.<br>
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Key job responsibilities<br>
<ul><li>Lead engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance</li><li>Design and implement scalable architecture to host agent orchestration, tool invocation, state management, and feedback loops.</li><li>Build scalable, reusable data and tool registry</li><li>Construct evaluation pipelines (offline and online) to assess agent reasoning quality, performance metrics, safety constraints, and KPI impact.</li><li>Integrate and manage tuning pipelines (e.g. hyperparameter tuning, RL fine-tuning, preference optimization), and provide abstraction layers for scientists to plug in models.</li><li>Implement observability, logging, metrics, alerting, tracing, and drift detection for agent behaviors and model performance.</li><li>Ensure resilience, fault isolation, auto-scaling, batching, caching, resource allocation, concurrency control, and SLA compliance.</li><li>Rapidly prototype and evaluate new system designs or algorithmic patterns (e.g. streaming inference, memory caching, chaining of reasoning modules, tool embeddings).</li><li>Collaborate in design reviews, code reviews, system design, and cross-team architecture alignment.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
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The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
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Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
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.</div>

Senior Software Development Engineer, SPB Advertiser Guidance

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