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backend engineer

Apple

<div>Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? 
 
The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance.. 
 
Description 
 
We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model powered Apple Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages! 
 
As a Sr Backend Software engineer, you will be responsible for the following areas. 
 
<ul><li>Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS. Leverage internal and open-sourced training modules.</li></ul> 
<ul><li>Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training</li></ul> 
<ul><li>Data processing and data filtering: Have the ability to efficiently process and filter very large amounts of data, often times messy.</li></ul> 
<ul><li>Scalable web services backend and APIs to support data access and data inspection tools</li></ul> 

Preferred Qualifications 
 
Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle). 
 
Experience providing architecture and design guidance. 
 
A good communicator with clear and concise, active listening and empathy skills. 
 
Are self-motivated and curious. Strive to continually learn on the job. 
 
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity. 
 
Minimum Qualifications 
 
BS in Computer Science or Equivalent. 
 
10+ years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Familiarity in other programming languages (Java/GoLang/Rust/Swift). 
 
Proficient in REST API, Redis, VectorDB or other large scale data storage systems. 
 
Solid foundational programming skills (algorithms, data structures, OOP, etc). 
 
Experience designing, writing, reviewing, testing and delivering software for applications and systems at scale. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

AIML - Sr Backend Engineer, Data and ML Innovation

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Would you like to be part of a team that is solving new business challenges through innovative technology? 
 
The Team: The Fuse tech team is an innovative and high-energy team that is working on Amazon Fuse, a wholesale subscription service that enables 3rd party enterprises with billing and distribution capabilities. Fuse has created a one stop integration point for service teams (e.g. Prime, Music, Video, more) to be able to offer their subscription services through the top global partners who collectively offer subscriber billing services to more than 4B consumers. While we use existing Amazon systems when possible, you&rsquo;ll be working on challenging problems that need innovative solutions. 
 
As a key member of our team, you will have the opportunity to work directly enabling new external vendor on Amazon marketplaces, owning major deliverables across all aspects of development: scoping, design, implementation, and testing. Successful candidates can multi-task, quickly adapt to new development environments, learn new systems, create reliable/maintainable code, and find creative and scalable solutions to difficult problems.
 
 
The ideal candidate is excited about technology and passionate about learning and should view every customer interaction as an opportunity to create an exceptional customer experience. Everyone on the team needs to be entrepreneurial, excited to work in a &ldquo;green field&rdquo;. The right candidate will wear many hats and work in a highly collaborative environment that is more startup than big company. You will work on innovative technology not legacy. 
 
Key job responsibilities 
The Role: As a Software Development Engineer, you will work with a team of talented engineers to build low-latency solutions for frontend, middle tier and backend as well as identify and evaluate new technology options for the challenges we are trying to solve. You will work with a variety of core languages, microservices, and technologies including Java, Dynamo DB, Lambda, SQS, SNS and many other AWS services. We are looking for a smart engineer who can effectively deal with ambiguity and work independently to clarify requirements, build prototypes and deliver results quickly. Come join a team in which builders build software and delight customers! You will learn, have fun, and make a positive impact on millions of people.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ 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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Amazon Fuse

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As part of Apple&rsquo;s central data annotation engineering team, you&rsquo;ll help build the next generation of AI-powered user experiences. Our work provides high-quality datasets and expert feedback to train machine learning models and evaluate their performance across all products and verticals. The team maintains and develops a global distributed system that captures insights from human domain experts and analysts worldwide, operating at a scale that few companies can match. We leverage cutting-edge human-in-the-loop algorithms to create and curate datasets through fine-tuned multi-step annotation workflows and near real-time data quality feedback signals. You&rsquo;ll tackle complex challenges in ML data quality at unprecedented scale while collaborating closely with AIML engineering teams across the company. From Siri to the Photos app, from iPhone to Vision Pro, you&rsquo;ll help bring innovative experiences to millions of users worldwide. 
 
Description 
 
This role focuses on enhancing the annotation quality capabilities of Apple's central data annotation platform. You'll work on a cloud-based system that supports machine learning model development across all Apple products. The position combines backend engineering with research and concept development to improve how we measure, monitor, and optimize annotation and ML dataset quality at scale. You'll be responsible for building systems that ensure high-quality training data while developing innovative approaches to quality assessment and feedback mechanisms. 
 
As part of a close-knit team of half a dozen engineers focused on annotation quality initiatives and embedded in an even larger team of fellow data annotation engineers, you'll collaborate on shared challenges and contribute to collective problem-solving efforts. The team works together on overlapping projects, combining individual expertise in backend and frontend engineering, statistics, and ML to advance the state of annotation quality measurement and optimization. You'll have the opportunity to learn from peers tackling similar technical problems while contributing your own insights to push the boundaries of what's possible in large-scale data quality assessment. 
 
Your contributions will directly impact the foundation of Apple's AI and machine learning capabilities, ensuring that models across the entire product ecosystem are trained on the highest quality data possible.&quot;,&quot;responsibilities&quot;:&quot;Develop and maintain backend services for annotation quality measurement and monitoring systems 
 
Design and implement statistical measures and algorithms to assess annotation quality across diverse datasets incl. both foundational model driven and traditional approaches 
 
Create automated quality feedback mechanisms that provide real-time insights to annotation teams 
 
Research and prototype new approaches for improving annotation consistency and accuracy 
 
Optimize and design efficient data pipelines for dataset/annotation quality metrics collection 
 
Preferred Qualifications 
 
5+ years of experience in data annotation, data quality, or related ML value chain roles 
 
Experience building and scaling web-based platforms for machine learning workflows 
 
Advanced knowledge of statistical methods for data quality assessment 
 
Experience with distributed systems and microservices architecture 
 
Background in annotation workflow optimization 
 
Track record of research publications or patents in data quality or machine learning 
 
Experience working in cross-functional teams with both technical and non-technical stakeholders 
 
Minimum Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Math, Physics or related field, or 5 years of equivalent work experience 
 
3+ years of backend engineering experience with cloud-based services 
 
Proficiency in Python and/or Golang for backend development 
 
Experience with AWS services including Lambda and RDS/Aurora 
 
Strong foundation in applied statistics and machine learning fundamentals 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Applied ML Engineer, Data Generation & Verification

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Experience Analytics (EXA) is seeking a Software Development Engineer to help build the tools and experiences that make customer data useful. EXA exists to understand how customers experience AWS and to turn that understanding into products and intelligence that teams across AWS can use. We are building a unified customer lifecycle data platform (Clara), customer experience measurement frameworks, segmentation systems, and AI-powered agents that make customer understanding available on demand.
 
 
This role sits at the intersection of infrastructure and experience. You will contribute to the core data product builds &mdash; pipelines, APIs, data publishing &mdash; while also prototyping and building the agent interfaces and experiences that make these products accessible. You will help us figure out what a Clara query experience should feel like, how knowledge bases should surface insights, and how AI agents should interact with the people who use them.
 
 
We are looking for someone who is curious about how people interact with data and AI systems, who can move quickly from idea to working prototype, and who is comfortable building across the stack rather than staying in one layer. You will work alongside applied scientists, data scientists, and researchers &mdash; translating their models and findings into experiences that work. Some weeks you will be deep in infrastructure. Other weeks you will be exploring what an agent interaction should look like. You should be energized by that range, not frustrated by it.
 
 
The ideal candidate writes clean, production-quality code, thinks carefully about the people who will use what they build, and is comfortable working in spaces where the right approach has not been defined yet.
 
 
Key job responsibilities 
<ul><li>Design, build, and maintain software components across EXA's core data product portfolio &mdash; including data pipelines, APIs, query interfaces, and data publishing infrastructure.
</li></ul> 
<ul><li>Prototype and build agent experiences and interfaces for Clara and other EXA knowledge bases &mdash; exploring what the right interactions look like and iterating quickly based on what you learn.
</li></ul> 
<ul><li>Collaborate with applied scientists and data scientists to translate models, frameworks, and analytical outputs into usable tools and experiences.
</li></ul> 
<ul><li>Contribute to the architecture and design of EXA's agent ecosystem &mdash; how agents surface insights, how they interact with users, and how they connect to underlying data infrastructure.
</li></ul> 
<ul><li>Write code that meets the Amazon Code Bar: well-written, maintainable, robust, secure, efficient, tested, and operable.
</li></ul> 
<ul><li>Participate in the full software development lifecycle &mdash; scoping, design, code, testing, deployment, and operational support.
</li></ul> 
<ul><li>Help the team learn what works by building things, testing them, and sharing what you find.
</li></ul> 
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, has not followed a traditional path, or includes alternative experiences, do not let it stop you from applying.
 
 
Mentorship and Career Growth We are continuously raising our performance bar as we strive to become Earth's Best Employer. That is why you will find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 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 is nothing we cannot achieve in the cloud.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience building software that interacts with data systems (databases, pipelines, APIs, or data platforms)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building conversational interfaces, agent-based systems, or AI-powered tools</li><li>Experience with front-end development (React or similar frameworks) alongside backend/infrastructure work</li><li>Experience with Python and cloud-based data infrastructure (AWS services preferred)</li><li>Familiarity with ML model serving, NLQ interfaces, or knowledge base architectures</li><li>Experience working in research or analytics teams where requirements emerge from discovery rather than predefined specifications</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

SDE II, Experience Analytics (Agent Experiences & Data Products)

Slack

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Software Engineering
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 
 About Slack AI
 
 
 
 Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI.
 
 
 The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering &mdash; the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 
 About The Team
 
 
 
 The AI and ML Infrastructure team is part of Slack&rsquo;s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence.
 
 
 The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring. As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed systems. This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and responsible training of models on sensitive data with strong privacy and safety requirements.
 
 
 
 Core Focus Areas
 
 
 
 <ul>
 <li>
 ML Infrastructure - The ML Infrastructure focus area is responsible for the low level systems that power training and inference at scale. This includes architecting and maintaining distributed systems for model training, serving, and deployment using Kubernetes based platforms, GPU infrastructure, and open source ML stacks such as KubeRay and vLLM. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration.
 </li>
 <li>
 AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack. This includes creating developer facing tools, SDKs, and workflows that allow product teams to integrate AI into Slack features efficiently and safely. The platform supports LLM efficiency and model transition initiatives through integrations with managed services across multiple cloud providers acting as the connective layer between core infrastructure and product engineering teams.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are looking for Software Engineers to join
 
 the ML Infrastructure
 
 focus area and help architect and operate the core systems that power AI at Slack. In this role, you will own foundational infrastructure for large scale model training and inference, and evolve it into a reliable, secure, and self service platform used across the company.
 
 
 You will work at the intersection of distributed systems, GPU infrastructure, and modern ML stacks, solving complex scalability and reliability challenges. This role blends deep systems engineering with a strong understanding of the ML lifecycle, and plays a critical part in shaping the long term technical foundations of Slack&rsquo;s AI capabilities.
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity
 </li>
 <li>
 Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving
 </li>
 <li>
 Architect and optimize distributed training and data processing systems using platforms such as Ray, Airflow, Spark, or similar technologies
 </li>
 <li>
 Build and maintain Kubernetes based platforms and orchestration layers using tools such as KubeRay, vLLM, and internally developed services
 </li>
 <li>
 Architect solutions that bridge legacy systems with modern technologies while maintaining monolithic application stability
 </li>
 <li>
 Develop robust monitoring, observability, and alerting for production ML workloads to ensure operational excellence
 </li>
 <li>
 Partner closely with AI Platform, ML modeling, security, and product engineering teams to design infrastructure that supports evolving AI use cases
 </li>
 <li>
 Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure
 </li>
 <li>
 Author technical design and architecture documentation, and contribute thought leadership through engineering blog posts
 </li>
 <li>
 Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
 </li>
 <li>
 Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
 </li>
 <li>
 Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
 </li>
 <li>
 Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
 
 
 </li>
 </ul>
 What You Should Have
 
 
 <ul>
 <li>
 Significant professional experience in software engineering with a strong focus on infrastructure, backend systems, platform engineering, or MLOps
 </li>
 <li>
 Deep experience building and operating distributed systems, including expert level knowledge of Kubernetes and container based platforms
 </li>
 <li>
 Hands on experience with modern ML infrastructure and serving stacks such as Ray or KubeRay, vLLM, or similar training and inference orchestration frameworks
 </li>
 <li>
 Experience working with GPU infrastructure, including performance optimization and operational management at scale
 </li>
 <li>
 Strong experience with data infrastructure and orchestration technologies such as Airflow, Spark, or similar systems
 </li>
 <li>
 Experience building and operating cloud native systems on public cloud platforms such as AWS, GCP, or Azure, including infrastructure as code
 </li>
 <li>
 A demonstrated ability to drive technical direction for complex systems and balance short term delivery with long term architectural goals
 </li>
 <li>
 Excellent written communication, as well as ability to thrive in an asynchronous and globally distributed infrastructure team.
 </li>
 <li>
 A related technical degree required
 </li>
 <li>
 A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
 </li>
 <li>
 Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
 </li>
 <li>
 Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
 
 
 Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
 
 
 In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Just finished Fallout and want to watch more of the same? Looking for a movie that's like SaltBurn? So are millions of our Prime Video customers. The Prime Video Groupings, Re-engagement and Optimizations team suggests videos that are relevant and tailored to customers&rsquo; schedules and environments. We help our customers find new content and content they have engaged with, to provide the most relevant titles. 
 
We tailor these recommendations through Personalization models that you can help shape. Along with delivering an AI-First personalization experience, you'll collaborate with a talented team of engineers and scientists to create models to run these predictions and services to provide the results at incredible scale and speed. 
 
Key job responsibilities 
<ul><li>Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.</li><li>Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.</li><li>Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.</li><li>Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.</li><li>Design and code the right solutions starting with broadly defined problems.</li><li>Work in an agile environment to deliver high-quality software.</li></ul> 
About the team 
In Prime Video Personalization and Discovery, our mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We delight Prime subscribers by leaning in to the Amazon originals and exclusives that shape our brand and differentiate us. We grow our relationships with customers by leveraging our deep understanding of them to provide relevant and timely recommendations.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ 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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer 2, Prime Video Personalization and Discovery

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Do you want to build software that changes how physical things get made? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100 Amazon organizations. We are building the next generation of services and applications that digitize shop floor operations, integrate with enterprise manufacturing platforms, and lay the groundwork for intelligent production scheduling. You will work across the full stack &mdash; React applications for operators and planners, event-driven backend services processing manufacturing data in real time, and integration bridges connecting AMS to enterprise ERP, PLM, and MES systems. The team is small, the technical surface is broad, and the users are in the building. 
 
Key job responsibilities 
<ul><li>Design, build, and operate services on AWS Lambda, DynamoDB, S3, SNS, SQS, and Step Functions using event-sourced, domain-driven architecture patterns</li><li>Build React web applications using the Cloudscape Design System for manufacturing operators, planners, and engineers</li><li>Integrate AMS services with enterprise platforms through event-based and API-based integration patterns</li><li>Design and implement API models, CDK infrastructure, and CI/CD pipelines for new services</li><li>Collaborate with senior engineers on system design, code reviews, and architecture decisions</li></ul> 
A day in the life 
Your day starts with a standup alongside SDEs, data engineers, and manufacturing stakeholders. You pick up where you left off on a React component that displays real-time resource status for shop floor planners. After lunch, you shift to a backend service, designing a DynamoDB schema for part versioning. A code review comes in from a senior engineer working on an enterprise integration bridge, and you spend time understanding how AMS connects to external manufacturing platforms.
 
 
Some weeks lean more frontend &mdash; building interactive data visualizations or responsive layouts for shop floor devices. Other weeks lean more backend &mdash; implementing event-sourced entity patterns or integrating with third-party APIs. The mix depends on the sprint and your strengths.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of non-internship professional software development experience</li><li>2+ years of full stack development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>2+ years of building production software experience</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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>4+ years of full stack development experience</li><li>1+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li><li>1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution</li><li>Master's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer II, Amazon Manufacturing Services (AMS)

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