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delivery platform software engineer 1 - developer tools team (hybrid - seattle, wa) Jobs in Seattle

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senior lead software engineer

Apple

<div>People at Apple don't just build products - they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. 
 
The Analytics Platforms &amp; Experiences (APX) team is at the forefront of revolutionising Data Engineering. We drive significant increases in efficiency and productivity through a flawless ecosystem of frameworks and products that unlock observability, knowledge and enable data quality-driven orchestration at scale. APX is part of the broader Apple Services Engineering division that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store and more. 
 
The APX Bedrock team is the foundational platform layer within APX, responsible for building the systems and services that underpin data engineering excellence across the organization. We are seeking a Senior Software Data Engineer who brings deep technical expertise and the strategic thinking to shape the future of our data engineering platform. In this role, you will influence the broader technical vision, drive platform-wide architectural decisions, and establish patterns that raise the engineering bar across the organization. You will bridge hands-on engineering excellence with forward-looking platform thinking, working alongside architects and cross-functional teams to transform how data engineers work at Apple. 
 
Description 
 
As a Senior Software Data Engineer on the APX Bedrock team, you will be a highly impactful technical contributor who combines deep engineering craftsmanship with platform-wide thinking. You will own critical platform components end-to-end while actively shaping the technical direction of the team and influencing the broader organization. 
 
<ul><li>Lead design and implementation of core platform services supporting data application authoring, metadata management, dataset lifecycle tracking, and orchestration at scale</li></ul> 
<ul><li>Architect and build high-performance Java-based backend services and APIs that form the backbone of the data engineering platform</li></ul> 
<ul><li>Own data modeling and database design decisions, establishing best practices for schema design, indexing strategies, and query optimization across relational and non-relational data stores</li></ul> 
<ul><li>Design and operate scalable data processing pipelines using Apache Spark, Apache Flink, and modern orchestration frameworks</li></ul> 
<ul><li>Proactively identify architectural gaps and drive initiatives that improve platform scalability, reliability, and developer experience</li></ul> 
<ul><li>Define engineering standards and patterns adopted across the broader team and organization</li></ul> 
<ul><li>Evaluate emerging technologies and contribute to strategic decisions that shape the platform roadmap</li></ul> 
<ul><li>Mentor engineers across experience levels and drive a culture of technical excellence</li></ul> 
<ul><li>Leverage AI-powered development tools and help define how AI-augmented workflows are adopted and scaled within the team</li></ul> 

Preferred Qualifications 
 
Experience with non-relational or NoSQL databases and strong intuition for applying the right data storage paradigms 
 
Proficiency in Scala, Go, or Python as complementary programming languages 
 
Deep experience with container orchestration tools such as Kubernetes and cloud-native infrastructure patterns 
 
Hands-on experience with AI-powered development tools (e.g., Claude Code, Copilot) and building AI-augmented engineering workflows 
 
Experience architecting data quality monitoring, metadata management, or dataset lifecycle management systems at scale 
 
Strong background in streaming, real-time data processing, and event-driven architectures 
 
Track record of mentoring senior engineers and driving technical excellence across teams 
 
Strong communication skills with the ability to present complex technical strategies to senior leadership 
 
Minimum Qualifications 
 
Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent professional experience 
 
8+ years of software engineering experience with significant focus on data platform or large-scale distributed systems 
 
Expert-level Java programming with a strong track record of architecting and delivering complex, production-grade backend services 
 
Deep experience with relational databases including advanced data modeling, schema design, and query optimization at scale 
 
Expert-level experience with Apache Spark and Apache Flink, and distributed data technologies including Hadoop, HDFS, and Kafka 
 
Extensive experience designing and operating workflow orchestration systems such as Apache Airflow at enterprise scale 
 
Proven ability to drive end-to-end technical ownership of complex platform initiatives and influence technical direction beyond immediate team scope 
 
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>

Senior Software Data Engineer

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
GEICO is seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.
Position Description
Our Senior Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the highest standards of protection and availability. Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.
Position Responsibilities
As a Senior Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient distributed systems</li></ul><ul><li>
Build product definition and leverage your technical skills to drive towards the right solution</li><li>
Engage in cross-functional collaboration throughout the entire software lifecycle</li></ul><ul><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Define, create, and support reusable application components/patterns from a business and technology perspective</li><li>
Utilize programming languages like Java, Golang, Python, C# or other object-oriented languages, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services</li><li>
Mentor other engineers</li><li>
Consistently share best practices and improve processes within and across teams</li></ul>
Qualifications<ul><li>
Advanced programming experience with at least one modern language such as Java, C#, Golang, or other object-oriented languages and preferably in Full Stack with React</li><li>
Proven understanding of microservices oriented architecture and extensible REST APIs</li><li>
Experience architecting and designing new and current systems</li><li>
Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Advanced PowerShell scripting skills</li><li>
Advanced understanding of monitoring concepts and tooling</li><li>
Advanced understanding of security protocols and products</li><li>
Experience with continuous delivery and infrastructure as code</li><li>
In-depth knowledge of CS data structures and algorithms</li><li>
Strong problem-solving ability</li><li>
Ability to excel in a fast-paced environment</li><li>
Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Architecture assessment and proposals</li></ul>
Experience<ul><li>
6+ years of professional software development experience</li><li>
3+ years of experience with architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
2+ years of experience in open-source frameworks</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent education or work experience</li></ul>
#LI-FA1 
Annual Salary
$105,000.00 - $215,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Full Stack Engineer - (Java, React, Data Lake, Microservices) - *HYBRID*

Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.<h2 class="jobSectionHeader"> 
About the role</h2>
Rippling processes multi-billions of dollars in annual transaction volume, serving as the financial engine for businesses worldwide. As a Staff Engineer on the broader Financial Services team, you will join a lean, high-impact group responsible for the architecture that moves this money. 
We&rsquo;re looking for a Staff Software Engineer to anchor our new Money Movement &amp; Treasury architecture hub in Seattle. You will own the design and implementation of our deterministic, config-driven, and incrementally testable ledger architecture. You will be the technical authority ensuring 100% ledger coverage to act as the final guardrail for all tax and payment liabilities.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Architect the Foundation: Redesign our General Ledger and reconciliation systems to eliminate silent failures and to be deterministic.</li><li>
Unify the Abstraction: Establish universal primitives across various historically disjointed payment systems to create a single, queryable lifecycle for every dollar moving through our platform.</li><li>
Build the Engine: Develop a reconciliation replay and testing framework, working closely with the payments data team to replace legacy Snowflake-side recon logic.</li><li>
Technical Leadership: Anchor the Seattle site, mentoring a pod of high-performing Senior engineers to build an execution layer decoupled from product feature velocity.</li><li>
Cross Functional Execution: The engineer will work closely and collaborate with the Payments Data, Tax, and Accounting team to understand ledger, tax liability, accounting and regulatory reporting requirements, and to replace legacy Snowflake-side reconciliation logic by developing a reconciliation replay and testing framework.</li></ul><h2 class="jobSectionHeader">
What you will need</h2><ul><li>
Experience: 8+ years of professional software engineering experience, with a strong track record in backend development and distributed systems.</li><li>
Architecture: Proven ability to design large-scale, fault-tolerant systems from scratch. You understand the trade-offs between consistency and availability and know when &quot;eventual consistency&quot; is not enough.</li><li>
High Agency: You thrive in ambiguity. You don't wait for a ticket to be assigned; you identify the business problem, scope the technical solution, and execute.</li><li>
Domain Agility: You have the intellectual curiosity to master the complex domain of treasury and money movement in a matter of days, even if you don't have a background in it.</li><li>
Tech Stack: Deep proficiency in a modern backend language (Python, Go, Java, etc.) plus experience with complex data modeling (SQL/NoSQL) and data processing framework (Spark/Flink).</li></ul><h2 class="jobSectionHeader">
Additional Information</h2>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com 
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. 
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. 
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below. 
The pay range for this role is: 
189,000 - 330,750 USD per year(US Tier 1)</div>

Staff Software Engineer - Financial Ledger Systems

JPMorganChase

<div>JOB DESCRIPTION 
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.
<div>As a Senior Lead Security Engineer at JPMorganChase within the Cybersecurity Technology and Controls, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
Job responsibilities
<ul><li>Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs</li><li>
Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability</li><li>
Be responsible for triaging based on risk assessments of various threats and managing resources to cover impact of disruptive events
</li><li>Stay abreast of emerging IAM technologies and security trends, recommending and implementing improvements to enhance security posture.</li><li>
Produce clear, detailed documentation and communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>
Identify opportunities to automate remediation of recurring issues, improving overall operational stability.</li><li>
Provide technical thought leadership, staying abreast of industry trends, emerging technologies, and best practices to guide the team and organization.</li><li>
Identify existing drawbacks, gaps, and inefficiencies in frameworks, processes, and practices; proactively recommend and implement improvements.</li><li>
Serve as a subject matter expert and advisor on technological matters, influencing technical decisions and strategy across business, product, and technology teams.</li><li>
Ensure frameworks and solutions are enterprise-grade, with strong security, monitoring, documentation, and operational stability.</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on security concepts and 5+ years of applied experience in security engineering</li><li>
Skilled in planning, designing, and implementing enterprise-level security solutions</li><li>
Expertise in IAM technologies: OAuth2.0, SAML, ABAC, RBAC, PBAC, OPA.</li><li>
Advanced proficiency in Java, Python, or Node.js&mdash;production-quality code</li><li>
Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Extensive experience with threat modeling, discovery, vulnerability, and penetration testing</li><li>
Ability to tackle design and functionality problems independently with little to no oversight
</li><li>Practical cloud native experience</li></ul><div>
</div><div></div>Preferred qualifications, capabilities, and skills<ul><li>
Experience with dashboard and reporting tools: Grafana, Splunk, Prometheus, custom dashboards.</li><li>
Experience with hybrid identity environments: Azure AD/Entra ID Connect, AWS Cognito, OIDC Federation</li><li>
Familiarity with regulated industry environments (financial services, healthcare, government)</li><li>
Experience with BloodHound, SharpHound, or equivalent AD attack path analysis tools</li></ul>
#CTC</div>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Security Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you. 
 
As a Senior Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will drive technical strategy and collaborate closely with Applied Scientists on modeling experiments and prototypes, translating concepts into production-ready solutions. We&rsquo;re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems! 
 
 
 
Key job responsibilities 
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities. 
In this role, you will: 
 
<ul><li>Spearhead large scale technical initiatives and make critical architectural decisions</li><li>Identify and resolve complex technical challenges, often in ambiguous problem spaces</li><li>Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows</li><li>Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs</li><li>Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure</li><li>Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts</li><li>Mentor and guide MLEs and SDEs, fostering their growth and the overall team&rsquo;s capabilities</li></ul> 
A day in the life 
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines. 
 
About the team 
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
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>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 - 168,100.00 - 227,400.00 USD annually</div>

Sr. Machine Learning Engineer, Special Projects

Foundry10

<div>Description:

foundry10 is an education research organization with a philanthropic focus on expanding ideas about learning and creating direct value for youth. In collaboration with a wide range of partners, we surface, evaluate, and share opportunities to better support youth learning both inside and outside the classroom. Building on more than a decade of impactful work, our unique approach blends applied and basic research, philanthropy, and education programs rooted in evidence-based best practices. 
Summary of Role
Machine Learning can provide powerful tools for enhancing learning in and outside of the classroom, and for addressing pressing needs in K-12 and post-secondary education. Senior Researcher, Machine Learning Engineer will be a core team member on a new multi-project focused ML Learning Team at foundry10. This role involves both independent research and analysis as well as multidisciplinary collaboration across a project team and potentially in partnership with external institutions.
Applicants for this role should have a strong interest in education and desire to improve student outcomes across multiple dimensions. Applicants should have deep expertise in appropriate domains (Machine learning principles, software design &amp; development, ethics and privacy), bring novel ideas and expertise, and experience-based insights. Qualified candidates will have advanced research skills (e.g., data analysis techniques, knowledge of study design, visualizing and interpreting data) and be comfortable with sharing generalizable findings using different mediums alongside peer-reviewed publications.
This position reports to the Director of Research. The salary range for this position is $191,025 to $318,375 per year, depending on experience.
Areas of Interest
The Machine Learning Engineering Senior Researcher will have a focus on developing tools and pursuing research within both formal and informal K-12 and postsecondary education spaces. In particular, this position will focus on contributing to a multidisciplinary team of researchers and engineers with a preliminary focus on:<ul><li>
Exploring intersections and interplay between the strengths and gaps within the education system and ML/AI techniques and tools</li><li>
Considering principles and knowledge that are not being regularly utilized by traditional educational systems to broaden and shape new ideas around the intersection of learning and ML</li><li>
Design or repurpose tools for research pursuits, data collection, learning gains, and timely interventions</li><li>
Leverage strengths and knowledge in a coherent &amp; complimentary way with other experts in a collaborative team to generate new ideas to make a positive impact on student learning</li></ul>
Responsibilities
As part of a focused project team, this role in particular will:<ul><li>
Work collaboratively within the ML project team to provide new and interesting ideas for lines of research, outputs, tool development and/or other avenues to improve learning outcomes and opportunities for young people</li><li>
Collaborate to define output goals for the project team</li><li>
Participate in conceiving, designing, and evaluating, ML software and related hardware</li><li>
Develop predictive analytics, statistical modeling, data mining and machine learning algorithms</li><li>
Assist in crafting interesting and important questions regarding education in a technologically advancing world, specifically around the intersections of ML/AI in learning spaces.</li></ul>
More broadly as a researcher, this role will include:<ul><li>
Represent foundry10 at conferences, within publications, and face-to-face with a variety of community partners</li><li>
Actively read and engage with current research/techniques/technologies and bring new knowledge to the organization and their teams as a result of engagement with relevant topics</li><li>
Use various qualitative and quantitative methodologies, analysis strategies, and study designs as needed to address current research questions</li><li>
Make informed decisions about when to extend vs. redirect or close off lines of inquiry, depending on progress and likelihood of yielding useful and actionable insights</li><li>
Lead operations and partnership tasks (e.g., coordination of external data collection services, communication with external partners) as needed</li></ul>
This is not an exhaustive list, other duties may be assigned as necessary
Requirements:

Education and Experience<ul><li>
PhD in Machine Learning or related discipline, with 2-5 years relevant post-PhD work experience</li><li>
Experience in both academia and industry preferred</li><li>
Experience with Transformer-based Models (e.g. GPT, Llama)</li><li>
Practical experience independently leading and conducting applied research with minimal supervision</li><li>
Experience with machine learning data structures and models, software architecture, framework, and libraries</li><li>
End to End project design, execution and completion</li><li>
Experience on a variety of projects with multiple stakeholders</li><li>
Experience mentoring and/or managing students, junior researchers, and/or research staff</li><li>
Experience with design/development of software tools, preferably for a variety of age groups</li><li>
Nuanced understanding of technology in the life of kids both generally and within education contexts</li><li>
Nuanced understanding of AI tools, their strengths, limitations, and the direction of development</li></ul>
Skills, Abilities, and Knowledge<ul><li>
Strong background in research ethics, particularly research ethics involving children and adolescents</li><li>
Outstanding communication skills, both verbal and written, in interpersonal and research settings</li><li>
Ability to gain background knowledge and expertise in other fields within foundry10&rsquo;s research domains and interest areas that may intersect with your projects</li><li>
Proficiency with R, Python and relevant ML libraries</li><li>
Ability to manage time and track several project timelines at once</li><li>
Ability to work self-sufficiently and identify areas where processes could be improved</li><li>
Ability to cross multiple subject areas and quickly gain a basic understanding of new areas</li><li>
Ability to work collaboratively with researchers from other fields and specializations</li><li>
Ability to ask questions that deviate from the status quo to pursue innovative ways to approach learning</li><li>
Ability to manage and mentor junior researchers</li></ul>
We cannot sponsor visa applications, and to be considered for this position, you must be eligible to work in the United States. To protect our staff, partners, and the youth we serve, we require all foundry10 employees to adhere to our masking and COVID testing policies when working in person.
To be considered for this role, please submit the following materials:<ul><li>
Cover letter detailing how your interest and qualifications align with this position</li><li>
Resume or CV</li><li>
Peer-reviewed publication, white paper, project summary/report or similar document showcasing your work, clearly state your level of contribution and role</li></ul>
Applications without a cover letter will not be reviewed. The priority deadline is April 17, 2026, and we will accept applications on a rolling basis as needed after this date.
The interview process will consist of the following steps:
Step 1: Zoom audio interview (1 hour)
Step 2: Zoom video interview with Research team members (1. 5 to 2 hours)
Step 3: If needed, zoom video interview with the Director of Research and/or CEO (1 hour)
Step 4: Background and professional reference checks
foundry10 offers competitive salary and benefits that include:<ul><li>
A 4-day workweek</li><li>
A flexible and hybrid work schedule</li><li>
Full Medical, Dental, and Vision coverage for employees and their dependents</li><li>
$1,500 yearly education stipend</li><li>
$3,000 yearly wellness and hobby stipend, before taxes</li><li>
Generous paid time off that includes:
<ul><li>4 weeks of vacation time annually and additional accrual with tenure</li>
<li>12 paid holidays</li>
<li>56 hours of paid sick and safe leave frontloaded annually</li>
<li>Week-long office closures twice a year - each summer and winter</li>
</ul></li><li>401(k) retirement plan with employer match</li><li>
Flexible Spending Account and Dependent Care Reimbursement Account</li><li>
Employee Assistance Program at no cost to the employee</li><li>
Short Term Disability, Long Term Disability, Life Insurance paid fully by foundry10</li></ul>
Employment decisions are based on merit and business needs. foundry10 strives to provide a work environment free from discrimination and harassment because of a protected characteristic. The organization does not discriminate against employees or applicants based on race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related condition, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.
We are committed to providing reasonable accommodations to assist individuals with disabilities with the application and interviewing process as well as essential job functions.</div>

Senior Researcher, Machine Learning Engineer

Uber

<div>About the Role
 
 
Uber's Data Platform is the heart of the company's critical decision-making and AI-driven intelligence. We are evolving from traditional data processing toward a Next-Generation Data Intelligence Platform -a unified, elastic fabric that collapses the silos between batch, streaming, and multimodal data.
 
 
As a Senior Staff Engineer , you will be the architect behind Uber's Elastic Compute , Unified Semantic Layer , and Self-Evolving Knowledge Platform . You will lead the transition from legacy on-premise systems to a Modern, Cloud-Native Ecosystem , designing solutions that handle exabytes of data. Whether it's optimizing Transactional Distributed Storage , or operationalizing Agentic Data Intelligence , your work will define the industry standard for high-performance infrastructure.
 
 
What You Will Do
<ul><li>Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale.
</li><li>Revolutionize Storage &amp; Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities.
</li><li>Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows.
</li><li>Lead Storage Modernization: Evolve our massive-scale persistence layers-including Docstore (Transactional Distributed Storage) and Distributed MySQL-to increase resiliency and reduce operational overhead.
</li><li>Open Source &amp; Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto).
</li></ul>Basic Qualifications -
<ul><li>14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems.
</li><li>Mastery of Storage Internals: Extensive storage experience is a must. You have deep expertise in:
<ul><li>Batch &amp; Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management.
</li><li>Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures.
</li><li>Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB).
</li><li>NoSQL &amp; Cache: Cassandra, Redis, and high-throughput Key-Value stores.
</li></ul></li><li>Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms.
</li><li>Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing.
</li><li>Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus.
</li></ul>- Preferred Qualifications -
<ul><li>Infrastructure at Scale: Experience designing AI infrastructure, including RAG (Retrieval-Augmented Generation) systems and high-bandwidth data loading for GPUs.
</li><li>Distributed Relational Mastery: Hands-on experience with Sharded/Distributed MySQL (Vitess) and managing large-scale tabular data.
</li><li>Multi-Cloud Vision: Demonstrated ability to build portable data solutions across OCI and GCP, optimizing for resource efficiency and intelligent scheduling.
</li><li>SLA-Driven Reliability: Expertise in building observability, data freshness, and quality frameworks for Tier-0 mission-critical services.
</li>Strategic Influence: Proven ability to lead platform modernization, mentor Staff-level engineers, and influence long-term technical strategy across multiple organizations. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 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>

Senior Staff Software Engineer: Data & Storage Platform

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