data engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

ai engineer - genai, creative-x Jobs in Seattle

ai engineer - genai, creative-x

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml sr backend engineer data and ml innovation

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

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

BuyWander

<div>Description:
<h1 class="jobSectionHeader">Senior Software Engineer (Search &amp; Personalization)</h1>
Location: Seattle, WA Type: Full-Time | Engineering<h3 class="jobSectionHeader">
ABOUT BUYWANDER</h3>
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.
We&rsquo;re not just building a marketplace. We&rsquo;re building a daily habit.<h3 class="jobSectionHeader"> 
THE ROLE</h3>
We are looking for a highly product-minded Senior Software Engineer to own our Search and Personalization experience.
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.
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.<h3 class="jobSectionHeader"> 
WHAT YOU&rsquo;LL OWN</h3>
1. The Discovery &amp; Personalization Engine<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>
2. Search Optimization<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>
3. Measuring Success &amp; Experimentation<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>
4. AI-Assisted Product Development<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">
WHY THIS ROLE IS DIFFERENT</h3>
At most companies, you are handed a Jira ticket and told exactly what to build. Here, you are handed a business problem: &quot;Our bidders are having trouble finding niche electronics in our chaotic inventory&mdash;fix it.&quot;
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.
Benefits<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"> 
</h3><h3 class="jobSectionHeader">
WHAT YOU BRING</h3><ul><li>
The Tech Stack: Deep backend proficiency (we use C#/Python/FastAPI) and a solid understanding of modern frontend frameworks (we use Vue/Nuxt/Vercel).</li><li>
Search Expertise: Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone).</li><li>
Product Sense: You think in terms of user psychology and metrics. You understand concepts like collaborative filtering, session-based recommendations, and ranking algorithms.</li><li>
The Modern Workflow: You are highly proficient in using AI developer tools (Copilot, Cursor, Claude) to multiply your output.</li></ul>
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.</div>

Senior Software Engineer (Search & Personalization)

Capgemini

<div>
 
 
 Data Scientist
 
 
 
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 
 Job Description
 
 
 
 As a Data Scientist , you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models. Your role will involve leveraging your extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
 </li>
 <li>
 Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
 </li>
 <li>
 Build and maintain data engineering solutions on cloud platforms using hyperscaler services.
 </li>
 <li>
 Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
 </li>
 <li>
 Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).
 </li>
 <li>
 Understanding indexing and vectorization to use with Generative AI prompt engineering.
 </li>
 <li>
 Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.
 </li>
 <li>
 Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.
 </li>
 <li>
 Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.
 </li>
 </ul>
 
 
 Required Skill and Experience
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, data engineering, or a related field with 3+ year's experience (Master's preferred).
 </li>
 <li>
 Proven experience in data engineering, MLOps, ETL, and database management, QL and data manipulation languages.
 </li>
 <li>
 Azure, Python, Java, or Scala.
 </li>
 <li>
 data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
 </li>
 <li>
 highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
 </li>
 </ul>
</div>

Data Scientist

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? 
 
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple&rsquo;s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. 
 
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. 
 
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. 
 
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. 
 
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc). 
 
Strong problem-solving and communication skills. 
 
Experience of multimodal large language model or image/video generation model training is a plus. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
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 $171,600 and $302,200, 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 - Sr Machine Learning Engineer, Data and ML Innovation

Riot Games

<div>Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.

Riot builds genre-defining games and people love to play them, but for some players, their experience can be diminished by disruptive social interactions. The Behavior Evaluation and Moderation (BEAM) team, part of the Social Initiative on Player Platform, works to foster positive player-to-player experiences and reduce negative behavior, empowering players to have the experience they want. We also enhance pro-social spaces to create more engaging and welcoming environments. As a Senior Software Engineer on the Behavior Evaluation and Moderation (BEAM) team, you'll collaborate with engineers, game designers, product managers, and data scientists to develop backend services and solutions that support Riot's current and future games in a scalable way. You'll contribute to the implementation of features, following established designs, and work closely with teammates to ensure quality and maintainability. You'll also participate in on-call rotations to support live services and help maintain high availability for our systems. You'll embrace the team's values by focusing on high-impact work, using data to inform decisions, and collaborating across disciplines to create the best possible experiences for players. You'll help improve team processes, write reliable code, and continue to grow your skills with guidance from senior engineers.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Implement backend service features for evaluating social inputs (text, voice), determining behavioral progression and outcomes, and integrating moderation workflows with game teams.</li>
<li>Create technical designs and collaborate with senior engineers to ensure features are scalable, maintainable, and resilient.</li>
<li>Write unit, functional, and integration tests to validate code quality and adhere to engineering best practices.</li>
<li>Partner with product managers, designers, and data scientists to understand requirements and deliver features aligned with player experience goals.</li>
<li>Participate in code reviews, incorporating feedback and learning from others.</li>
<li>Contribute to process improvements within the team's technical and workflow systems.</li>
<li>Participate in the team's on-call rotation to help troubleshoot and resolve live incidents, with backup support from senior engineers.</li>
</ul><h2 class="jobSectionHeader">Required Qualifications:</h2>
<ul><li>Basic knowledge of cloud services (AWS, GCP, etc.).</li>
<li>3-5 years of industry experience (or advanced degree with equivalent skills).</li>
<li>Proficiency in Java and familiarity with relational and/or NoSQL databases.</li>
<li>Experience developing backend services and integrating with APIs or distributed systems.</li>
<li>Understanding of the software development lifecycle, including testing and deployment.</li>
<li>Collaborative mindset and willingness to seek guidance when facing unfamiliar challenges.</li>
</ul><h2 class="jobSectionHeader">Desired Qualifications:</h2>
<ul><li>Familiarity with data processing or streaming technologies (Kafka, Kinesis, etc.).</li>
<li>Familiarity with machine learning concepts and deploying AI models.</li>
<li>Proficiency in Python and common ML libraries such as: scikit-learn, TensorFlow, PyTorch, XGBoost</li>
</ul>
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! 

<h2 class="jobSectionHeader">
Our Perks:</h2>

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you're working directly on a new player-facing experience or you're supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we're better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we're looking forward to your application. 


It's our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
<ul>
<li>Safeguarding confidential and sensitive Company data
</li><li>Communication with others, including Rioters and third parties such as vendors, and/or players, including minors</li>
<li>Accessing Company assets, secure digital systems, and networks</li>
<li>Ensuring a safe interactive environment for players and other Rioters</li>
</ul>
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.</div>

Senior Software Engineer - Publishing Platform, Social: Behavior Evaluation and Moderation

RAVENNA

<div><h1 class="jobSectionHeader">About the Role</h1>
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.
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.
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.
If you enjoy solving complex technical problems, building clean systems, and shipping product quickly, we would love to talk.<h1 class="jobSectionHeader">
Responsibilities</h1><h3 class="jobSectionHeader">
Design and build production systems</h3>
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.<h3 class="jobSectionHeader">
Full stack product development</h3>
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.<h3 class="jobSectionHeader">
Backend services and APIs</h3>
Design and maintain backend services that power the Ravenna platform. Focus on reliability, performance, and maintainability as the system grows.<h3 class="jobSectionHeader">
System architecture and technical direction</h3>
Contribute to the architecture of the platform and help make decisions about system design, infrastructure, and development practices.<h3 class="jobSectionHeader">
Performance and reliability</h3>
Monitor and improve system performance across the stack. Build systems that are observable, debuggable, and reliable in production environments.<h3 class="jobSectionHeader">
Code quality and engineering standards</h3>
Write clean, well structured, well tested code. Participate in code reviews and contribute to engineering practices that keep the codebase healthy and maintainable.<h3 class="jobSectionHeader">
Collaboration and product ownership</h3>
Work closely with product and design to translate ideas into high quality features. Take ownership of systems and ensure they behave well in production.<h1 class="jobSectionHeader">
About You</h1><h3 class="jobSectionHeader">
Strong engineering fundamentals</h3>
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.
You think carefully about architecture, data modeling, testing, observability, and operational reliability.<h3 class="jobSectionHeader">
Full stack experience</h3>
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.<h3 class="jobSectionHeader">
Backend and system design experience</h3>
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.<h3 class="jobSectionHeader">
Production ownership</h3>
You care about how systems behave in production. You think about monitoring, logging, debugging, and reliability when designing and building software.<h3 class="jobSectionHeader">
Performance awareness</h3>
You understand how performance affects user experience and system reliability. You have experience diagnosing performance issues and improving system efficiency.<h3 class="jobSectionHeader">
Product mindset</h3>
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.<h3 class="jobSectionHeader">
Curiosity and continuous improvement</h3>
You stay current with modern engineering tools and practices and enjoy improving systems, processes, and the developer experience.<h2 class="jobSectionHeader">
Technologies We Use</h2><ul><li>
NextJS</li><li>
React</li><li>
Typescript</li><li>
Python</li><li>
FastAPI</li><li>
TailwindCSS</li><li>
Modern monorepo tooling</li></ul>
Experience with these technologies is helpful, but strong engineering ability and system design skills matter most.<h1 class="jobSectionHeader">
Benefits</h1><h3 class="jobSectionHeader"> 

Competitive Salary</h3><ul><li>
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.</li><li>
We are building an ambitious company and know that attracting great people requires strong compensation.</li></ul><h3 class="jobSectionHeader">
Meaningful Equity</h3><ul><li>
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.</li><li>
Early team members have the opportunity to make a real impact on both the product and the future of the company.</li></ul><h3 class="jobSectionHeader">
Choose Your Setup</h3><ul><li>
Great work requires great tools. At Ravenna you can choose the hardware and setup that helps you do your best work.</li><li>
Most of the team uses high performance Mac laptops, but you have the flexibility to select the tools and environment that fit your workflow.</li></ul><h3 class="jobSectionHeader">
Flexible Time Off</h3><ul><li>
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.</li><li>
We trust our team to manage their time responsibly while delivering meaningful results.</li></ul>
Compensation Range: $160K - $200K</div>

Sr Fullstack Engineer

Explore 651+ Aiml sr backend engineer data and ml innovation in Seattle this May. Find roles across top companies and apply now to boost your career.