Python Engineer in United States

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role New York Times Wirecutter team is looking for a Senior Manager, Audience & Product Analytics to power our growth strategy. Your core mandate will be to build an understanding of our audience— who they are, how they engage with content and product features, and what brings them back. You will lead a team of analysts responsible for understanding audience trends, driving product improvement, and optimizing user engagement. You will provide leadership and data-driven insights, working with audience, product, and engineering leads to establish goals, design experiments, and uncover new opportunities. You will report to the Executive Director of Data Analytics and Insights, Wirecutter. This opportunity is flexible to in office or remote work. Responsibilities You will manage a team of three direct reports—promoting a culture of curiosity and excellence while setting clear deliverables, supporting career growth, and ensuring high-quality analytics output You will analyze audience growth, traffic drivers, customer journey touch points, and user engagement trends to inform strategic decision-making. You will partner with functional leads (Product, Design, Engineering, Editorial) to set strategy, define goals, and build the audience and product analytics roadmap. You will lead the design, execution, and post-analysis of product experiments (A/B testing). Provide expertise on primary metrics, trade-offs between competing goal

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We need a highly innovative Technical Lead! How confident are you that you can build sophisticated analytic systems? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has experience with Java and Python and can lead and nurture an inspiring environment in our Virginia office. Our Impact: The Investments and Capital Markets (I&CM) division is looking for a capable technology lead for its trading and analytics development team. This could be you! To thrive in this division, you must have a comprehensive understanding of system implementation and design, experience working in capital markets, and be enthusiastic about leading development of new paradigms in software system architecture. Your Impact: As a Trading Analytics Development Tech Lead, you will develop and maintain software using Java and Python tech stack that adheres to software engineering best practices. You will influence technical decisions, mentor developers, resolve engineering blockers, and partner with engineering managers to help teams deliver secure, reliable, and maintainable solutions. You will provide hands-on directions for full-stack applications, APIs, microservices, and integration services while reinforcing engineering discipline across design, development, testing, deployment, observability, and production readiness. Partner closely with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional tec

The Defense Sector at Leidos is seeking a motivated TS/SCI cleared Network Administrator to support the installation, configuration, and day-to-day management of enterprise network infrastructure. This role is an excellent opportunity for an early-career network professional to gain hands-on experience with routing and switching platforms, including Session Smart Router (SSR) / 128 Technology SD-WAN solutions, in a structured and security-conscious environment. The ideal candidate demonstrates a solid foundation in networking fundamentals, a willingness to learn vendor-specific technologies, and the discipline to operate within DoD network standards. The job duties will be performed daily on site at Langley Air Force Base, VA. ​ Roles and Responsibilities: ​Assist in the configuration, deployment, and ongoing management of routers, switches, and Session Smart Router (SSR) appliances across enterprise and edge network environments. ​Support the design and implementation of routing policies, service policies, and traffic steering configurations on SSR/128 Technology platforms under senior engineer guidance. ​Perform LAN switching administration — including VLAN configuration, spanning tree, trunking, and port security — on Juniper EX Series and/or Cisco Catalyst platforms. ​Assist with the configuration and troubleshooting of routing protocols including OSPF and BGP (eBGP and iBGP) across enterprise WAN and data center environments. ​Monitor network health, availability, latency, and throughput using network management tools; escalate anomalies and assist in root cause analysis. ​Support configuration and maintenance of firewall rules, access control lists (ACLs), IPsec VPN tunnels, and other network security controls. ​Execute software and firmware upgrades, patch management, and lifecycle maintenance activiti

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth, and

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Broad technical range across AI, Python/SQL/R and Power BI/Tableau; familiarity with Databricks/Snowflake is a plus. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Profe

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic's Treasury Operations team owns the movement of money across our card issuing infrastructure — network settlement, sponsor bank transfers, and the reconciliation that keeps it all provable. This is a hands-on, high-ownership role for someone who wants to learn the inner workings of payments and fintech infrastructure, not just observe them from a reporting layer. You'll be running a critical, time-sensitive engine every day — and at the same time, working alongside the Head of Treasury Operations to improve how that engine works as the function scales. You’ll also work cross-functionally across a wide range of teams (Finance, Treasury Engineering, Risk, Analytics, Processing, Customer Success, Bank Operations) — this role sits at the center of a lot of different workflows, not off in a silo. What You'll Do Execution (50%) Own day-to-day execution of network settlement transfers (Mastercard, Visa) and related treasury transfers across sponsor banks Operate in a time-sensitive environment where errors or d

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company. What you’ll do As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions. Where you’ll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of bein

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Data at Brex The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company. What you’ll do As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions. Where you’ll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we build open, state of the art compute for real workloads and real developers. You will own CPU core-level testbench development and verification, shaping how our out-of-order RISC-V CPUs behave in silicon. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring 8+ years in CPU verification, CPU testbench development, or closely related digital design. You have deep hands-on experience building and owning CPU core-level testbenches, not just using existing environments. You know high-performance out-of-order CPU microarchitecture in depth. You are comfortable developing testbench infrastructure in CVM methodology, with UVM experience as a strong plus. You work comfortably across RTL, waveforms, logs, regressions, and cross-functional debug with design, DV, emulation, and post-silicon teams. You are comfortable using AI-assisted verification workflows to improve debug, stimulus creation, and coverage analysis, while applying strong engineering judgment to validate results. What We Need Lead hands-on CPU core-level testbench development for hi

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation processors and systems, bringing together world-class expertise across silicon, systems, and software. We are looking for a CPU Performance Modeling Architect to help evaluate, shape, and optimize the performance of future CPU architectures. In this role, you’ll use performance modeling, workload analysis, and deep understanding of CPU architecture to answer complex questions about how a processor should be designed. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, evaluate architectural tradeoffs, and turn modeling insights into actionable design decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A CPU architect, performance architect, or performance modeling engineer with experience influencing CPU architecture or microarchitecture decisions. You have a strong understanding of modern processor architecture and enjoy digging into why a CPU performs the way it does. You are comfortable combining hardware architecture, software, data, and

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Talent Directors, Recruiting, People Analytics, Finance, and Legal. The Difference You Will Make: We are looking for a Senior Compensation Partner to own Airbnb's compensation strategy for the Technology organization, covering functions such as Engineering, Infrastructure, ML/AI and Data Science. You will be the primary Total Rewards advisor to Technology leadership and the compensation point of contact for Talent Directors and Recruiting, defining how Airbnb competes for AI, ML, and frontier engineering talent. Working alongside our regional Total Rewards Partners, you will hold a global view of how we pay technical talent across all markets. Beyond your client group, you will contribute to the design and strategy of complex global programs, lead core Total Rewards priorities, and build the models and tools the broader Compensation team relies on. You are equally credible advising our most senior technical leaders and in the data behind the recommendation. A Typical Day: Serve as the senior compensation advisor to Technology leadership across func

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth. The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data. What you’ll do as a Senior Data Analyst at Vanta: Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions. Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more. Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows. Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business. Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights. How to be successful in this role: Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS

About the Team OpenAI’s User Operations team ensures that our customers’ experience is nothing short of exceptional. We resolve complex issues, provide guidance, and support customers in maximizing value with our products. Within User Operations, Ads Safety Operations helps OpenAI grow advertising in a way that is safe, trusted, and sustainable for advertisers, users and the business. The Ads Safety Support team sits within Ads Safety Operations and owns the advertiser-facing support journey: helping advertisers navigate ads products, policies, reviews, and enforcement decisions while turning frontline insights into better guidance, tooling, and product experiences. About the Role We’re looking for a Senior Advertiser Support Specialist to help build and scale advertiser support within Ads Safety Operations. You’ll work directly with advertisers through support tickets, escalations, owning high-impact questions related to ads policies, review outcomes, product behavior, and operational processes. Many cases will be novel or ambiguous, and you’ll be expected to investigate carefully, communicate clearly, and drive them to resolution in a fast-moving product environment. As OpenAI’s advertising ecosystem grows, your work will help advertisers operate successfully at scale while serving as a critical bridge between frontline support and the teams responsible for product quality, policy integrity, and platform safety. Beyond resolving individual cases, you’ll help define what world-class support looks like in an AI-native environment. You’ll turn support interactions into operational intelligence, identifying recurring friction, gaps in guidance, and emerging issues to improve support at scale, and protect the quality and safety of OpenAI’s ad ecosystem. You’ll partner closely with Engineering, Product, Policy, Legal and Go To Market partners to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technol