• Design, develop, test, and maintain our complex software applications, ensuring high-quality code and adherence to best practices • Provide technical leadership and guidance to junior engineers and the development team, including code reviews, architecture decisions, and mentoring • Contribute to the design and architecture of software systems, ensuring scalability, maintainability, and performance • Analyze and solve complex technical problems, and make recommendations for improvements and optimizations • Implement and advocate for best practices in testing and quality assurance, including unit testing, integration testing, and automated testing • Participate in code reviews and provide constructive feedback to ensure code quality and consistency • Stay current with emerging technologies, tools, and programming languages and apply them where relevant to improve software development processes • Ensure software adheres to security standards and compliance requirements, addressing vulnerabilities and potential risks • Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP) • Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools • Run code and refactor, optimize, containerize, deploy, version, and monitor Data Science models quality • Validate and add automated tests for Data Science models • Work closely with a team of researchers and data scientists to productionize and document research innovations

• Design, develop, and deploy machine learning solutions to tackle the many economic challenges in our complex marketplace • Collaborate closely with product managers, data scientists, and other engineers to deeply understand business needs and create impactful solutions • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models • Mentor junior economists, set technical direction, and conduct thorough code reviews to ensure high code quality and maintainability. Lead by example in fostering a culture of continuous improvement and technical excellence

About Us Circle is building the world’s leading all-in-one platform for online communities. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 200 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers page for more about working at Circle. About the role We’re building something game-changing at Circle: a discovery marketplace where millions can find creators, communities, and products to help them achieve their highest personal and professional goals. You’ll help build the foundation for the recommendation engine behind the feed and marketplace for Discover. Think of a Pinterest, Reddit or Instagram-style product, reimagined with a mission to help people achieve their goals instead of distracting them with endless doom scrolling. Through Discover, you will be building technology that could help millions of people grow, self-actualize, and live their best lives. What you'll be doing Help build the discovery feed — the core recommendations engine that powers how consumers find creators, products, and communities that help them grow. Partnering closely with Circle’s CEO and co-founders to execute on a vision that redefines discovery in the creator economy. Designing, implementing, and iterating on large-scale ML systems — from embeddings and ranking models to experimentation frameworks — to reach product/market fit. Using data, experimentation, and engineering intuition to make fast, high-quality decisions that unlock transformational consumer experiences. Obsessing over the craft, quality, and performance of the algorithms that turn Circle Discover into a household name. What you'll need to be successful 5+ years of hands-on software engineering experience, with at least 2+ years focused on machine learning, data, or recommendation systems . Experience building or scaling feeds, ranking systems, or large-scale consumer-facing ML products. Strong proficiency in backend and data engineering skills — from system design to productionizing ML models. Deep understanding of consumer app dynamics and what drives product/market fit in discovery and recommendation experiences. The curiosity and drive to learn fast, experiment aggressively, and thrive in a highly dynamic environment. Comfortable in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it. Strong alignment with our values, find our values on our career page if you haven’t read up on them yet. You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5. $170,000 - $200,000 USD per year The cash compensation range shown is a starting point. In addition to equity, benefits and perks, your cash compensation is subject to an annual review and increase on a once per year basis. The fun stuff Fully remote: work from anywhere in the world! Autonomy and trust to do your job: we care about outcomes over everything else. Paid time away: all employees are given 35 days of PTO annually. We also offer a paid sabbatical after 5 years. Generous U.S. benchmarked compensation and startup equity no matter where you are in the world.* Awesome medical coverage with 100% coverage for you and your family, or medical reimbursement options where applicable!* Parental leave for parents expanding their family, or just starting one. Home office stipend to help you get up and running. Learning & development stipend to help you level up your professional skills. Annual bonus potential for roles that don't already receive variable income or commission. Company retreats: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world! We’ve had past retreats in Colombia, Portugal, and Mexico, with more planned on the horizon. Check out our Careers page for more. * Your role, location and unique circumstance may affect this. Candidate Safety & Interview Process Notice At Circle, the safety and trust of our candidates is extremely important to us. Unfortunately, recruiting fraud is increasingly common in the job market, and bad actors sometimes impersonate companies or employees. To help protect you, here’s what you can expect from our hiring process: How Our Process Works All applications are submitted through our official applicant tracking system (Greenhouse). If selected to move forward, you may be invited to record a short introductory video, or directly into a live interview. All live interviews are conducted face-to-face over video (Zoom or Google Meet) with a member of the Circle team. We do not conduct text-only interviews. We do not conduct interviews via chat apps or messaging platforms. We do not use AI bots to interview candidates. Official Communication Channels All official communication from Circle will come from no-reply@us.greenhouse-mail.io, or an email address ending in @circle.co or @circle.so. We will never contact you from unofficial domains (such as “.team”, “.careers”, or similar variations). We will never request sensitive personal information early in the process, or ask for payment of any kind. If you receive a suspicious message claiming to be from Circle, please do not respond. We appreciate your vigilance, and look forward to connecting with you through our official channels. Diversity, Equity & Inclusion As a fully-remote international company, diversity is baked into our DNA. Here’s how our CEO, Sid Yadav, frames our hiring mission: “let’s find talent in underserved and under-represented corners of the world, set them up to do the best work of their lives, and in turn, change their life.” To achieve this hiring mission, we offer competitive U.S. benchmarked compensation no matter where someone’s located in the world, and we proactively seek candidates who expand representation of backgrounds, cultures and lived experiences in our teams. Equal Employment Opportunity Circle is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. If you require any accommodations during the recruitment process, please let us know and we will work with you to meet your needs. How We Use Candidate Data At Circle, we are committed to protecting your personal information. As a job applicant, the personal data you provide to us is collected and processed in accordance with the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA) . This notice outlines the types of personal information we collect, the purpose for collecting it, and your rights. Information We Collect: We collect the following categories of personal information from job applicants: Contact information (such as name, email address, phone number) Employment history and qualifications To assess your qualifications and suitability for the position To communicate with you during the recruitment process To comply with legal and regulatory obligations Your Rights Under GDPR and CCPA: You have the following rights regarding your personal information: The right to request access to the personal information we hold about you. The right to request the deletion of your personal information, subject to certain legal exceptions. The right to opt out of the sale of your personal information (Note: We do not sell personal information). For more information about how we handle your personal data or to exercise your rights, please refer to our full Privacy Policy. By submitting your application, you acknowledge that you have read and understood this privacy notice.

• Contribute to RL frameworks that drive the design-make-test-analyze (DMTA) cycles • Develop synthetic data engines and the inference infrastructure needed to simulate environments for large-scale training • Maintain rigorous evaluations to continually monitor the performance of learned policies