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distinguished software data engineer

software development engineer

Adobe

Our Company
 
Changing the world through digital experiences is what Adobe is all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen.
 We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
The Opportunity
 
We're seeking an outstanding Web or Full stack engineer for Adobe's Firefly Boards team in Firefly, a Generative AI org. You will be part of a team of engineers working closely with other engineering teams on building, scaling, and securing the Firefly Boards product. You will contribute to building innovative user experiences for creative solutions by using the power of multi-modal LLMs from Adobe and its partners.
 Firefly Boards is an AI-powered mood-boarding and ideation app that provides a non-linear infinite canvas. It enables a new generation of creatives to embrace generative AI and those who find the linear workflows of legacy software restrictive. Images and videos can be imported or generated using AI models and edited, remixed, iterated on, and organized flexibly, making it easier for artists to visualize and develop ideas on their own or in collaboration.
 
Ideal Qualifications
 
Bachelor’s Degree or equivalent experience in Computer Science
 
5+ years of product experience developing applications (web apps preferred)
 
Experience with JavaScript/TypeScript, CSS and HTML
 
Experience with Declarative User Interface (UI) libraries (such as React.JS, Lit , Vue.js)
 
Experience creating web apps
 
Experience driving sophisticated software architecture, design and development.
 
Experience creating and maintaining testable code
 
Dedication to writing clean code and creating re-usable components
 
Passion for learning, sharing of new ideas , and creative thinking to provide innovative solutions to challenges
 
Preferred Qualifications
 
Experience building Image, video and/or multimedia apps
 
Experience with creating user experiences for LLMs
 
Experience with development tools such as Jenkins, GitHub, lint, etc.
 
Experience with improving performance and stability of the apps
 
Experience with Accessibility ( A11y )
 
Experience with Localization
 
Experience working in an Agile development environment
 
#Firefly Boards
 
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $153,600 -- $28 4 , 0 00 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
At Adobe , for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP ).
 In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies not recruit or hire each other’s employees.
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $173,500 -- $331,050 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $228,600 - $331,050
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Sr Staff Software Development Engineer _ Firefly Boards

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Software Engineer, you will play a critical role in building the products and systems that power Handshake&rsquo;s core user experiences&mdash;from search and discovery to onboarding and beyond. You&rsquo;ll work across the full stack, shipping features that directly impact how millions of users find opportunities, connect with employers, and launch their careers.
 
 
 You&rsquo;ll collaborate closely with product managers, designers, and other engineers to deliver polished, end-to-end experiences in a fast-paced, mission-driven environment. Whether you&rsquo;re building AI-powered features, scaling backend systems, or crafting intuitive frontends, your work will have real, measurable impact on users at scale.
 
 
 
 Location: San Francisco, CA | 5 days/week in-office
 
 
 
 <ul>
 <li>
 Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
 </li>
 <li>
 Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
 </li>
 <li>
 Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
 </li>
 <li>
 Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
 </li>
 <li>
 Write high-quality, maintainable code while contributing to code reviews and engineering best practices.
 </li>
 <li>
 Debug and resolve issues related to system reliability, user flows, and performance.
 </li>
 <li>
 Contribute to architectural decisions and help establish patterns for scalable, secure deployments.
 </li>
 <li>
 Grow toward increased technical ownership by learning from senior engineers on the team.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience building full-stack applications.
 </li>
 <li>
 Strong proficiency in TypeScript, with comfort working across frontend and backend.
 </li>
 <li>
 Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
 </li>
 <li>
 Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
 </li>
 <li>
 Product-oriented mindset with a focus on user experience and business outcomes.
 </li>
 <li>
 Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
 </li>
 <li>
 Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
 </li>
 <li>
 Exposure to matching systems, marketplaces, or multi-step onboarding flows.
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
 </li>
 <li>
 Background at high-growth or scaling technology companies.
 </li>
 <li>
 Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Software Engineer

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
At LendingClub, we&rsquo;re transforming the way people experience banking. As a Sr Software Engineer, you&rsquo;ll play a key role in building the technology that helps our members achieve financial well-being. You&rsquo;ll work closely with a collaborative, high-performing team that values curiosity, experimentation, and learning. Our engineers move fast, celebrate innovative ideas, and take pride in delivering scalable, reliable, and high-quality software.<h2 class="jobSectionHeader">
What You'll Do</h2><div><ul><li>
Build, test, and deploy high-quality backend services and APIs using Java and related technologies</li><li>
Write clean, maintainable, well-tested code and lead by example in code reviews</li><li>
Own features and medium-to-large initiatives end-to-end&mdash;from technical design through production support</li><li>
Troubleshoot production issues, perform root-cause analysis, and implement long-term fixes</li><li>
Build systems with strong observability (logging, metrics, tracing, alerting) to ensure reliability and supportability</li><li>
Collaborate closely with Product, QA, and Operations to deliver resilient, customer-focused solutions</li><li>
Partner effectively with Offshore and Near-shore teammates to improve execution efficiency</li><li>
Use Generative AI coding tools to improve development velocity, code quality, and documentation</li><li>
Ensure security, performance, scalability, and maintainability in all deliverables</li><li>
Make pragmatic technology recommendations that balance innovation and reliability</li></ul></div><h2 class="jobSectionHeader">
About You</h2><div><div><ul><li>
6+ years of software development experience, with a bachelor&rsquo;s degree in computer science or related field; or equivalent experience</li><li>
Strong hands-on experience building backend applications in Java and working with RESTful Web Services</li><li>
Solid experience with scripting (preferably Python) and databases (SQL, MySQL, Oracle)</li><li>
Practical experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) in daily development workflows</li><li>
Deep understanding of agile development, TDD, source control, and automated testing</li><li>
Experience writing unit, integration, and end-to-end tests</li><li>
You set a high bar for code quality, maintainability, and production readiness</li><li>
You take full ownership of your domain - design, delivery, monitoring, and alerting</li><li>
You&rsquo;re comfortable experimenting, learning from failure, and iterating quickly</li><li>
Passionate problem solver with strong communication skills</li><li>
Self-motivated and collaborative - you ask great questions and drive for clarity</li></ul></div><div> 
Bonus Points</div><div><ul><li>
Experience scaling high-traffic applications</li><li>
Familiarity with AWS and cloud-native architectures</li><li>
Proven track record delivering on time with high quality in an agile environment</li><li>
Excited about our mission to transform banking through innovation</li></ul></div></div>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 176,000-207,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-JT1 
 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Sr Software Engineer, Backend

Capital One

<div>Distinguished Software Data Engineer
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.
Distinguished Engineers are individual contributors who strive to be diverse in thought so we holistically visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
We expect our Distinguished Engineers to be<ul><li>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.</li><li>
Visionaries who challenge the status quo, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.</li><li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled</li></ul>
In this role, you will work with our Enterprise Data Platform team to drive design and architecture of Capital One&rsquo;s mission critical Data Platforms.<ul><li>
You will define and execute a bold technical strategy for a unified Data Product architecture, engineering high-scale solutions for standardized, well-governed data creation that serves as the bedrock for enterprise-wide AI readiness. By modernizing our foundational Business Data Catalog, you will transform how the organization discovers and consumes data, turning fragmented datasets into high-fidelity, machine-ready assets.</li><li>
You will act as the bridge between deep engineering and business impact, to institutionalize and drive the adoption of rigorous data standardization practices, ensuring that our data consumption layer becomes a competitive engine that enables the enterprise to innovate with speed and precision.</li><li>
You are a visionary builder who balances high-level architecture with &quot;hands-on-keyboard&quot; execution, designing resilient, multi-tenant distributed systems and event-driven patterns that redefine enterprise scale.</li><li>
As the authoritative expert in data consumption, you don't just advise&mdash;you build the proof-of-concepts and exploratory analyses that bridge the gap between abstract tech strategy and mission-critical, production-grade solutions.</li><li>
Beyond the code, you are a catalyst for growth, mentoring the next generation of world-class engineers and championing a culture of inclusive excellence and inner-sourcing.</li><li>
You command the technical depth to influence executive strategy and the hands-on credibility to lead the enterprise-wide shift toward modern, AI-ready technologies.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li></ul>
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
9+ years of experience in data engineering</li><li>
3+ years of data modeling experience</li><li>
2+ years of experience with ontology standards for defining a domain</li><li>
2+ years of experience using Python, SQL or Scala</li><li>
1+ year of experience deploying machine learning models</li><li>
3+ years of experience implementing big data processing solutions on AWS</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 

San Jose, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Software Data Engineer

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h2 class="jobSectionHeader">Location
</h2>San Francisco, CA or Austin, TX (Hybrid)
Schedule: This is a hybrid role requiring an average of 2 days per week in-office, or as otherwise determined by the hiring manager
<h2 class="jobSectionHeader">Role Overview
</h2>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h2 class="jobSectionHeader">What We&rsquo;re Looking For
</h2>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solution, end-to-end from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul><h2 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h2><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team
</li></ul>The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer - Hybrid (San Francisco or Austin)

Coinbase

<div><div>Ready to be pushed beyond what you think you're capable of?

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</div>
We're looking for a Senior Software Engineer to join the Blockchain Data Storage team!

Our team has built the fundamental Web3 infrastructure, the data layer, by delivering an open-source, industry-leading suite of data availability solutions, ChainStack, to ensure efficient and scalable access. ChainStack is designed to ingest, index, and parse vast amounts of crypto data with minimal latency, providing a comprehensive solution to a widespread industry challenge. Come join us!

What you'll be doing:
<ul>
<li>Architect and develop distributed systems</li>
<li>Provide technical structure to teams and work closely with management and stakeholders to define strategic roadmaps</li>
<li>Manage individual projects priorities, deadlines and deliverables with your technical expertise</li>
<li>Mentor and train other team members on design techniques and coding standards</li>
<li>Design and implement foundational infrastructure components used by every engineering team in production (e.g. dynamic configuration, secrets storage, container orchestration, etc)</li>
<li>Write high quality, well tested code to meet the needs of your customers</li>
</ul>
What we look for in you:
<ul>
<li>5+ years of experience in software engineering</li>
<li>Very strong in distributed systems or data systems. If you are experienced with Crypto, it's a big plus!</li>
<li>You've experienced architecting and developing solutions to ambiguous problems with significant impact</li>
<li>You're passionate about building an indexing platform that brings the Web3 and Web2 world together</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
 Nice to haves:
<ul>
<li>You have gone through a rapid growth in your company (from 10 to 100s of engineers)</li>
<li>You have experience with Blockchains (such as Bitcoin, Ethereum etc.)</li>
<li>You have experience decomposing a large monolith into microservices</li>
<li>You've worked with Golang, Kafka, Redis, S3, Clickhouse, MongoDB</li>
<li>You've built financial, high reliability or security system</li>
</ul>
Job #: P74888
<div></div><div>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
<h3 class="jobSectionHeader">
Commitment to Equal Opportunity</h3>

Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
<h3 class="jobSectionHeader">
Global Data Privacy Notice for Job Candidates and Applicants</h3>

Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
<h3 class="jobSectionHeader">AI Disclosure</h3>

For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.

The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</div></div>

Senior Software Engineer, Blockchain Data Storage

<div><h1 class="jobSectionHeader">About Handshake</h1>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h1 class="jobSectionHeader">
About the Role
</h1>Handshake is hiring an Associate Machine Learning Engineer for the Growth Relevance team. AI is transforming how students navigate their careers, and we're committed to providing innovative, responsible AI-powered solutions that guide students from educational aspirations to meaningful career opportunities. In this role, you will contribute directly to this mission by developing, deploying, and enhancing machine learning systems focused on lifecycle optimization, personalized notifications, and monetization strategies.
You'll join a high-impact team leveraging cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers built upon a robust data platform with billions of data points. Your work will drive critical marketplace metrics, enhance user engagement, and contribute to responsible AI practices around explainability, fairness, and quality.
What You'll Do<ul><li>
Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization &mdash; with guidance from senior engineers.</li><li>
Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.</li><li>
Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.</li></ul><h1 class="jobSectionHeader">
Desired Capabilities
</h1><ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field</li><li>
0&ndash;2 years of experience in machine learning, data science, or a related area</li><li>
Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow</li><li>
Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation</li></ul>
Extra Credit<ul><li>
Master&rsquo;s degree or currently pursuing an advanced degree in a relevant field</li><li>
Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI</li><li>
Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)</li><li>
Experience with cloud platforms (GCP, AWS, or Azure)</li><li>
Clear communicator, able to translate technical work for diverse audiences</li><li>
Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams</li></ul><h1 class="jobSectionHeader">
Perks</h1>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Remote &amp; Office: Internet, commuting, and free lunch/gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $115K - $144K</div>

Associate Machine Learning Engineer

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