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principal software engineer backend

Headspace

<div><p><b>About the Principal Software Engineer, Backend</b><b> at Headspace:</b></p>
<p><i>
At Headspace, you'll be working on a highly impactful consumer facing product that impacts millions of members globally. Our mission is to transform mental healthcare to improve the health and happiness of people all over the world, so join us to make that happen! As a Principal Engineer, you'll play a key role in shaping the technical foundation of our platform as we scale to serve millions of users. You will help us bring new features to life to meet our mission, while also helping push our platform to newer technologies as we embrace the cutting edge. A big goal needs talented people, so come join us and give your day job a sense of purpose!</i></p>
<p><b>
What you will do:</b></p>
<ul>
<li>Lead architecture and design of high-scale, low-latency applications that are core to Headspace's business and member experience.</li>
<li>Define long-term technical strategies and implementation paths for complex systems.</li>
<li>Own and drive engineering excellence across multiple domains or squads. Write high-quality, performant, and testable code &mdash; primarily in Typescript and Python &mdash; and set the standard for craftsmanship across the organization.</li>
<li>Shape product and platform evolution by partnering with PMs, EMs, and stakeholders across Product, Data, Security, and Infrastructure to align technical vision with business goals.</li>
<li>Author technical specs and RFCs that guide not only your product pillar, but the entire company through critical design decisions.</li>
<li>Take end-to-end ownership of features, from ideation and architecture to monitoring in production.</li>
<li>Mentor and elevate engineers across levels, helping them scale their impact while promoting inclusive and empowering team dynamics.</li>
<li>Drive operational excellence by developing resilient systems, implementing observability, and guiding production support practices. Lead efforts to improve system reliability, developer velocity, and cost efficiency.</li>
<li>Act as a thought leader and multiplier, identifying systemic issues and architecting platform-level solutions with reusability and extensibility in mind.</li>
<li>Provide a point of escalation for engineering teams facing complex technical challenges.</li>
<li>Define coding standards, development processes, and best practices to ensure high-quality software development across engineering.</li>
<li>Stay abreast of emerging technologies, industry trends, and best practices, evaluating their potential application and driving innovation within the software engineering and tech team broadly.</li>
</ul>
<p><b>What you will bring</b>:</p>
<p><b>
Required Skills:</b></p>
<ul>
<li>8+ years of professional software engineering experience, with a proven track record of building and scaling production-grade APIs and distributed backend systems.</li>
<li>Deep expertise in system design and software architecture, with the ability to decompose complex problems into scalable, maintainable components.</li>
<li>Extensive experience with Node.js, TypeScript, and Python especially in the context of building high-scale backend services.</li>
<li>Experience leading the definition, design, and delivery of complex software features in asynchronous and distributed team environments.</li>
<li>Strong hands-on experience with unit, integration, and end-to-end testing, along with building and maintaining robust CI/CD pipelines for reliable, automated delivery.</li>
<li>Exceptional communication and collaboration skills&mdash;you can influence technical direction, align stakeholders, and clearly articulate trade-offs and decisions to both technical and non-technical audiences.</li>
<li>Experience mentoring engineers and leading cross-functional technical initiatives across teams.</li>
<li>Ownership mindset: you thrive in ambiguity, consistently raise the bar, and take accountability for outcomes across teams.</li>
<li>Comfortable making strategic technical decisions and coaching others through uncertainty, with a pragmatic eye on long-term impact and technical debt.</li>
<li>Ability to balance technical excellence with product and business priorities, making decisions aligned with company goals.</li>
</ul>
<p><b>Preferred Skills:</b></p>
<ul>
<li>BS/MS degree in Computer Science or related field, or equivalent practical experience.</li>
<li>Demonstrated success designing and maintaining high-availability systems, with strong observability practices (metrics, logging, alerting).</li>
<li>Deep knowledge of database design, data modeling, and query performance optimization across both relational and NoSQL systems.</li>
<li>Familiarity with cloud-native architectures and services (e.g., AWS, GCP, Kubernetes) and modern DevOps practices.</li>
<li>Track record of improving engineering velocity and reducing tech debt at scale.</li>
<li>Strong debugging skills and comfort working within complex, distributed systems.</li>
<li>Demonstrated ability to drive build vs. buy vs. refactor decisions with long-term implications in mind.</li>
<li>Experience designing or maintaining Server-Driven UI (SDUI) systems to enable dynamic, schema-based UI rendering across web and mobile clients.</li>
</ul>
<p><b>Location: We are currently hiring this role remotely unless SF based. Candidates must permanently reside in the US full-time.</b></p>
<p>
For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model.</p><br>
<p><b>
Pay &amp; Benefits</b>:</p>
<p>
The anticipated new hire base salary range for this full-time position is <b>$162,000-$258,750</b> + equity + benefits.</p>
<p>
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.<br>
<i>Your recruiter will provide more details on the specific salary range for your location during the hiring process.</i></p>
<p>
At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.</p>
<p><b>
About Headspace</b></p>
<p>
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.</p>
<p>
At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: <b>Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.</b> These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.</p>
<p><b>
Why You'll Love Working Here:</b></p>
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
<p><b>How we feel about Diversity, Equity, Inclusion and Belonging:</b></p>
<p>
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.</p>
<p>
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.</p>
<ul><li><i>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. </i><b><i>Please inform our Talent team by filling out </i></b><b><i>this form</i></b><b><i> if you need any assistance completing any forms or to otherwise participate in the application or interview process.</i></b></li></ul>
<p></p>
<p><i>Headspace participates in the </i><i>E-Verify Program</i><i>.</i></p>
<p><b><i>
Privacy Statement</i></b></p>
<p><i>
All member records are protected according to our</i><i> </i><i>Privacy Policy</i><i>. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
</i></p><p><i>As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.</i></p>
<p><i>
Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.</i></p>
<p>
For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</p></div>

Principal Software Engineer, Backend

RAVENNA

<div><h1 class="jobSectionHeader"><b>About the Role</b></h1><p>
At Ravenna, we are looking for a Senior Full Stack Engineer with a strong track record of building and operating production systems. You will help design, build, and evolve the core platform that powers our product.</p><p>
This role requires strong engineering fundamentals and the ability to work across the stack. You will build backend services, design APIs, implement product features, and contribute to the architecture of the overall system. We care deeply about maintainable code, reliable systems, and thoughtful engineering decisions.</p><p>
You will work closely with the founders, design, and other engineers to ship high quality product experiences while helping shape the long term architecture of the platform. Engineers on our team take ownership of the systems they build and think carefully about performance, reliability, and scalability.</p><p>
If you enjoy solving complex technical problems, building clean systems, and shipping product quickly, we would love to talk.</p><p></p><h1 class="jobSectionHeader"><b>
Responsibilities</b></h1><h3 class="jobSectionHeader"><b>
Design and build production systems</b></h3><p>
Architect and implement core platform functionality across both frontend and backend systems. Design APIs, backend services, and data models that support the long term evolution of the product.</p><h3 class="jobSectionHeader"><b>
Full stack product development</b></h3><p>
Build product features using NextJS, React, and Typescript on the frontend and Python with FastAPI on the backend. Take features from idea through implementation, launch, and iteration based on real user feedback.</p><h3 class="jobSectionHeader"><b>
Backend services and APIs</b></h3><p>
Design and maintain backend services that power the Ravenna platform. Focus on reliability, performance, and maintainability as the system grows.</p><h3 class="jobSectionHeader"><b>
System architecture and technical direction</b></h3><p>
Contribute to the architecture of the platform and help make decisions about system design, infrastructure, and development practices.</p><h3 class="jobSectionHeader"><b>
Performance and reliability</b></h3><p>
Monitor and improve system performance across the stack. Build systems that are observable, debuggable, and reliable in production environments.</p><h3 class="jobSectionHeader"><b>
Code quality and engineering standards</b></h3><p>
Write clean, well structured, well tested code. Participate in code reviews and contribute to engineering practices that keep the codebase healthy and maintainable.</p><h3 class="jobSectionHeader"><b>
Collaboration and product ownership</b></h3><p>
Work closely with product and design to translate ideas into high quality features. Take ownership of systems and ensure they behave well in production.</p><p></p><h1 class="jobSectionHeader"><b>
About You</b></h1><h3 class="jobSectionHeader"><b>
Strong engineering fundamentals</b></h3><p>
You are a strong software engineer first. You have at least five years of experience building production systems and have developed a strong intuition for designing reliable, maintainable software.</p><p>
You think carefully about architecture, data modeling, testing, observability, and operational reliability.</p><h3 class="jobSectionHeader"><b>
Full stack experience</b></h3><p>
You are comfortable working across the stack and have experience building both frontend and backend systems. You have strong experience with modern web technologies such as React, NextJS, and Typescript, as well as backend frameworks such as Python and FastAPI.</p><h3 class="jobSectionHeader"><b>
Backend and system design experience</b></h3><p>
You have experience designing APIs, backend services, and data models that support complex product functionality. You understand how to structure systems so they remain maintainable as they grow.</p><h3 class="jobSectionHeader"><b>
Production ownership</b></h3><p>
You care about how systems behave in production. You think about monitoring, logging, debugging, and reliability when designing and building software.</p><h3 class="jobSectionHeader"><b>
Performance awareness</b></h3><p>
You understand how performance affects user experience and system reliability. You have experience diagnosing performance issues and improving system efficiency.</p><h3 class="jobSectionHeader"><b>
Product mindset</b></h3><p>
You enjoy building products and care about delivering features that create real value for users. You are comfortable working in environments where engineers collaborate closely with product and design.</p><h3 class="jobSectionHeader"><b>
Curiosity and continuous improvement</b></h3><p>
You stay current with modern engineering tools and practices and enjoy improving systems, processes, and the developer experience.</p><p></p><h2 class="jobSectionHeader"><b>
Technologies We Use</b></h2><ul><li><p>
NextJS</p></li><li><p>
React</p></li><li><p>
Typescript</p></li><li><p>
Python</p></li><li><p>
FastAPI</p></li><li><p>
TailwindCSS</p></li><li><p>
Modern monorepo tooling</p></li></ul><p>
Experience with these technologies is helpful, but strong engineering ability and system design skills matter most.</p><p></p><h1 class="jobSectionHeader"><b>
Benefits</b></h1><h3 class="jobSectionHeader"><br>
<b>
Competitive Salary</b></h3><ul><li><p>
We believe great people should be compensated well. While we are an early stage company, we offer competitive salaries and aim to pay top of market for exceptional talent.</p></li><li><p>
We are building an ambitious company and know that attracting great people requires strong compensation.</p></li></ul><h3 class="jobSectionHeader"><b>
Meaningful Equity</b></h3><ul><li><p>
We hire people who want to help build Ravenna from the ground up. Equity ensures that when the company succeeds, the people who helped build it share in that success.</p></li><li><p>
Early team members have the opportunity to make a real impact on both the product and the future of the company.</p></li></ul><h3 class="jobSectionHeader"><b>
Choose Your Setup</b></h3><ul><li><p>
Great work requires great tools. At Ravenna you can choose the hardware and setup that helps you do your best work.</p></li><li><p>
Most of the team uses high performance Mac laptops, but you have the flexibility to select the tools and environment that fit your workflow.</p></li></ul><h3 class="jobSectionHeader"><b>
Flexible Time Off</b></h3><ul><li><p>
Doing great work requires time to recharge. We offer flexible paid time off so you can take the time you need to rest and stay at your best.</p></li><li><p>
We trust our team to manage their time responsibly while delivering meaningful results.</p></li></ul><p>
Compensation Range: $160K - $200K</p></div>

Sr Fullstack Engineer

BuyWander

<div>Description:
<h1 class="jobSectionHeader"><b>Senior Software Engineer (Search &amp; Personalization)</b></h1><p><b>
Location:</b> Seattle, WA <b>Type:</b> Full-Time | Engineering</p><h3 class="jobSectionHeader"><b>
ABOUT BUYWANDER</b></h3><p>
BuyWander is rebuilding the $850B retail returns industry. We take chaotic truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local pickup.</p><p>
We&rsquo;re not just building a marketplace. We&rsquo;re building a daily habit.</p><h3 class="jobSectionHeader"><b><br>
THE ROLE</b></h3><p>
We are looking for a highly product-minded <b>Senior Software Engineer</b> to own our Search and Personalization experience.</p><p>
With the rapid advancement of AI coding agents (like Claude Code and Cursor), the way we build across the stack has completely changed. We aren't hiring you to spend your days writing boilerplate UI components. We are hiring you for your architectural brain and product sense.</p><p>
Your mandate is to build the discovery engine that keeps our users addicted to the &quot;treasure hunt.&quot; You will partner with our Data &amp; AI team to take raw recommendation models and turn them into lightning-fast, highly personalized consumer experiences.</p><h3 class="jobSectionHeader"><b><br>
WHAT YOU&rsquo;LL OWN</b></h3><p><b>
1. The Discovery &amp; Personalization Engine</b></p><ul><li>
Design and implement the architecture for our &quot;For You&quot; feeds.</li><li>
Blend rules-based logic with ML-driven recommendations to ensure the right weird, unique, or high-value item hits the exact right bidder at the right time.</li></ul><p><b>
2. Search Optimization</b></p><ul><li>
Own our core search infrastructure (Elastic Cloud / Pinecone).</li><li>
Implement hybrid search (keyword + vector), tune ranking weights, and build typo-tolerance and synonym matching so our buyers always find what they are looking for.</li></ul><p><b>
3. Measuring Success &amp; Experimentation</b></p><ul><li>
You don't just ship features; you measure them. You will design the A/B testing framework for our search ranking changes.</li><li>
Track click-through rates (CTR), bid velocity, and conversion metrics to definitively prove your search tweaks are making the company money.</li></ul><p><b>
4. AI-Assisted Product Development</b></p><ul><li>
Use modern AI coding tools to rapidly wire your backend search APIs into our Vue/Nuxt frontend.</li><li>
Focus your deep thinking on system design, database queries, and user flows, while leveraging AI agents to accelerate UI execution.</li></ul><h3 class="jobSectionHeader"><b>
WHY THIS ROLE IS DIFFERENT</b></h3><p>
At most companies, you are handed a Jira ticket and told exactly what to build. Here, you are handed a business problem: <i>&quot;Our bidders are having trouble finding niche electronics in our chaotic inventory&mdash;fix it.&quot;</i></p><p>
You will have the autonomy to design the search logic, test the algorithms, and ship the product experience that solves that problem. If you love building systems that directly drive user addiction and marketplace revenue, let's talk.</p><p><b>
Benefits</b></p><ul><li>
Competitive Salary and Performance-based Bonuses
</li><li>Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized</li><li>
Health, Vision &amp; Dental Insurance
</li><li>Unlimited PTO
</li><li>Annual Company Offsites
</li><li>401K</li></ul>
Requirements:<h3 class="jobSectionHeader"><br>
</h3><h3 class="jobSectionHeader"><b>
WHAT YOU BRING</b></h3><ul><li><b>
The Tech Stack:</b> Deep backend proficiency (we use C#/Python/FastAPI) and a solid understanding of modern frontend frameworks (we use Vue/Nuxt/Vercel).</li><li><b>
Search Expertise:</b> Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone).</li><li><b>
Product Sense:</b> You think in terms of user psychology and metrics. You understand concepts like collaborative filtering, session-based recommendations, and ranking algorithms.</li><li><b>
The Modern Workflow:</b> You are highly proficient in using AI developer tools (Copilot, Cursor, Claude) to multiply your output.</li></ul><p>
BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.</p></div>

Senior Software Engineer (Search & Personalization)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
Key job responsibilities<br>
<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><br>
A day in the life<br>
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.
<br>
<br>
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"><b>
BASIC QUALIFICATIONS</b></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"><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>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><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.<p><br>
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.</p><br>
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer II, Amazon Manufacturing Services (AMS)

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?<br>
<br>
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..<br>
<br>
<b>Description</b><br>
<br>
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!<br>
<br>
As a Sr Backend Software engineer, you will be responsible for the following areas.<br>
<br>
<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><br>
<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><br>
<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><br>
<ul><li>Scalable web services backend and APIs to support data access and data inspection tools</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle).<br>
<br>
Experience providing architecture and design guidance.<br>
<br>
A good communicator with clear and concise, active listening and empathy skills.<br>
<br>
Are self-motivated and curious. Strive to continually learn on the job.<br>
<br>
Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science or Equivalent.<br>
<br>
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).<br>
<br>
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.<br>
<br>
Solid foundational programming skills (algorithms, data structures, OOP, etc).<br>
<br>
Experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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.<br>
<br>
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.<br>
<br>
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 Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Help shape new Generative AIUX products for AWS customers
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Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping.
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We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences.
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The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.
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In this role, you will work closely with our product, design, and backend teams to build and enhance our generative AI platform. You will have the opportunity to influence the direction of our product and contribute to a culture of innovation and excellence.
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Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.<br>
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Key job responsibilities<br>
<ul><li>Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
</li><li>Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output.
</li><li>Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
</li><li>Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
</li><li>Contribute to long-term technical vision and architecture decisions.
</li><li>Balance short-term delivery with scalable, maintainable system design.
</li><li>Work with internal teams to understand needs and translate them into robust solutions.
</li><li>Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.
</li></ul></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><li>Experience with emerging generative and agentic technologies</li><li>Experience in machine learning and data science</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience with agentic orchestration</li><li>Prior experience working with AWS applications, a plus</li><li>Experience with Bedrock, Kiro, or Claude a plus</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.<p><br>
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.</p><br>
USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually<br>
USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Machine Learning Engineer, GenAIUX

Uber

<div><b>About the Role
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As a Software Engineer II on the Storage Platform team, you will build and scale the foundation of Uber's data infrastructure. Our team provides standardized, integrated, and fully managed database, object storage, and cache services. We manage a mix of proprietary and open-source solutions designed for massive scale, high Quality of Service (QoS), and dynamic reliability.
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You will be responsible for the infrastructure that bridges real-time databases with our Big Data Platform, directly powering the data-driven decisions that move Uber forward.
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<b>What You'll Do
</b><ul><li>Design, develop, and roll out high-performance storage features, frameworks, and ecosystems that are scalable, reliable, and easy to operate.
</li><li>Drive improvements in system reliability and efficiency through advanced automation, proactive monitoring, and performance tuning.
</li><li>Partner with cross-functional stakeholders and application engineers to ensure our storage ecosystem provides a seamless experience across various backends.
</li><li>Take full accountability for projects, from initial requirement gathering with peers to final deployment, while providing technical input to shape the focus area.
</li><li>Elevate the team's engineering standards through rigorous code reviews, design critiques, and technical mentoring.
</li></ul>- Basic Qualifications -<br>
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<ul><li>Bachelor's degree (or higher) in Computer Science, Engineering, Mathematics, or a similar field.
</li><li>2+ years of software backend and distributed system development experience.
</li><li>Strong problem-solving and solid coding skills in one or more programming languages (e.g., Go, Java, C/C++, Python).
</li><li>Good verbal and written communication skills.
</li></ul>- Preferred Qualifications -<br>
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<ul><li>Experience developing or operating high-load, large-scale distributed systems and building monitoring systems.
</li><li>Understanding or hands-on experience with big data infrastructure tools and software like Spark, HDFS, and Yarn. Real-time streaming technology, such as Apache Flink.
</li>Excellent written and verbal communication skills, including writing detailed technical documents.<br>
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</li></ul><br>
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For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Software Engineer II - Storage Platform

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