Python Engineer Jobs

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. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on. Responsibilities: Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points. Likewise, actively shape the product roadmap for direct client-facing styling experiences, expand

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

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

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. What We're About At its core, this role is about uncovering dots and—without knowing the shape they form—figuring out how to connect them. Our customers come to us with a hunch that the only way to protect their troops, manufacture high-quality products, structure effective healthcare policies, or deliver aid to refugees safely is to make better use of their data. Deployment Strategists are responsible for turning that hunch into reality. If you believe in the transformational power of data and technology and in your own ability to bring that power to bear against complex problems, we want to meet you. What We Do As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions. No two days are the same, but as a Deployment Strategist you can expect to:

Partnering with stakeholders across the Technical Services (post-sales support) team, Analytics, Finance, and other teams around the business, this role surfaces key insights to drive business decision-making. The Business Analyst will own recurring business reporting cadences, support strategic and ad-hoc analysis, and help translate complex operational data into clear recommendations for leaders across the organization. This role requires strong analytical and technical skills, operational rigor, an ability to work across multiple functional areas, and a data-first mindset in a fast-paced environment. The ideal candidate is passionate about understanding and communicating customer experience and business performance through data, and is comfortable balancing repeatable operational reporting with deeper analytical work. We are looking to speak to candidates who are based in the eastern timezone and ideally can go into the office for our hybrid working model. Responsibilities Own recurring business reporting cadences and deliver high-quality, on-time reporting materials for leadership reviews, performance reporting, and operational planning Conduct a thorough first pass of the data for each deliverable by identifying meaningful trend changes, anomalies, open questions, and areas that warrant deeper follow-up, so reporting is paired with insight rather than just raw metrics Drive analyses of Technical Services business processes, service performance, pricing models, deal structures, and other operational topics; highlight actionable insights and communicate trends that help the business grow and scale Support recurring financial, forecast, and capacity-related analysis in partnership with Finance and cross-functional stakeholders Partner closely with Analytics, Data Engineering, and Data Architecture teams to ensure data is ingested, cleaned, configured, and documented in a consistent and accurate manner Consult with stakeholders on what data and reporting they

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role: You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making. You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap. You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work. You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions. You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!) Skills You'll Need to Bring: You are comfortable with ambiguity and motivated by business results. You have expertise in SQL and at least one scripting language (ideally Python or R). You know how to use statistical inference and experimentation to drive actionable recommendations. You are comfortable transforming raw data to build your own data sets

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about driving innovation for next-generation memory solutions powering AI/ML and high-performance computing systems. As a Director of HBM RTL Design and Integration, you will lead a team responsible for the design, integration, and delivery of next-generation HBM SoC logic die, with a strong focus on RTL development and IP integration. You will drive technical strategy and execution across multiple product generations, working closely with architecture, verification, physical design, firmware, and product engineering teams. Key Responsibilities Lead SoC RTL design and integration for HBM logic die, including subsystem partitioning, IP integration, and SoC-level design convergence. Drive translation of architectural and micro-architectural specifications into robust, high-quality RTL implementations across multiple teams. Oversee SoC integration aspects, including clocking, reset, power intent, configuration infrastructure, and system-level design correctness. Establish design methodologies and best practices to improve quality, reuse, and development efficiency across HBM programs. Partner with SoC Architecture, Verification, Physical Design, Firmware, and System teams to ensure successful end-to-end product execution. Work closely with Product Engineering, Test, Probe, Process Integration, Assembly, and Manufacturing to ensure robust, manufacturable HBM

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. With the continuous improvement of chip technology, design scale and performance/power ratio, the physical design of digital chips is facing outstanding challenges in high frequency, low power consumption and multiple applications. High efficiency, high quality of the implementation of the construction chip is the guarantee of the company's competitiveness. As an ASIC-PD intern at NVIDIA, you'll learn and work on the tasks from RTL frozen to tape out, include synthesis, formal verification, constraints definition, timing closure/sign off, study on the timing impact of process and related methodology work. What you'll be doing: Chip integration and netlist generation, cross-team collaboration to implement chip partitioning and floorplan Synthesis, RTL/netlist quality check, formal verification, function eco creation Constraints creation and validation, timing budget, work with ASIC team to analyze/resolve function timing issues, achieve all special timing closure, such as io, test, clock, async etc. Work in conjunction with PR engineers for chip implementation to achieve full chip timing closue Develop and improve entire timing closure flow from frontend (pre-layou

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make better, evidence-based talent decisions. About the Role As a People Research Scientist, you will bring deep expertise in research design, measurement, experimentation, and applied data science to OpenAI’s most important People programs. You will design studies, evaluate people processes, and help leaders better empower employees, strengthen organizational systems, and deliver exceptional employee experiences. This is a high-ownership individual contributor role combining hands-on research, methodological leadership, and scalable people science capabilities. We’re looking for an experienced researcher who can turn ambiguous People questions into rigorous designs, validated insights, and actionable recommendations. This role is based in San Francisco, CA or Mountain View, CA, with occasional travel to our San Francisco office. What You’ll Do: Design rigorous research and evaluation strategies for recruiting, organizational health, manager effectiveness, employee experience, and talent outcomes. Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact. Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving. Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines. Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization. Communicate findings through c

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for an experienced Styling Algorithms Team Manager to lead a group of talented machine learning engineers and data scientists. In this role, you will shape the future of fashion technology by driving the development and deployment of our styling algorithms, which empower our human stylists to delight clients by nailing their fit and style. This includes ML-, AI-, and product-driven feature curation and testing for our proprietary styling platform, as well as client-facing AI personalization experiences, such as Stitch Fix Vision, our virtual try-on. Responsibilities: Champion bold AI and ML interventions to improve our styling experiences, enabling our stylists to have a multiplicative impact on their client connection points. Likewise, actively shape the product roadmap for direct client-facing styling experiences, expand

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Team The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services. Position Summary As the Architect for the Professional Services R&D team, you will be the principal technical leader responsible for the high-level design and technical strategy of our entire portfolio of reusable assets. You will define the architectural vision and standards that ensure our solutions are robust, scalable, and secure. This role requires a blend of deep technical expertise, strategic thinking, and strong collaboration skills to guide the engineering team in building a cohesive ecosystem of tools on technologies like Java, React, Node, Python, and .NET. Responsibilities Define and own the end-to-end technical architecture for all reusable assets and solutions developed by the R&D team. Establish architectural standards, patterns, and best practices to guide the development team. Evaluate and select appropriate technologies, frameworks, and platforms to meet project requirements and long-term business goa

We’re looking for a Marketing Automation Manager to join our Marketing Tech & Automation Team. This is an individual contributor role focused on designing and building the automation, orchestration, integration, and AI-driven workflows across MongoDB’s marketing technology ecosystem. The ideal candidate will blend technical fluency with marketing automation expertise by connecting data, tools, and workflows to help marketers move faster, smarter, and with greater precision. You’ll work primarily with Workato, Claude, collaborating with the owners of platforms such as Marketo, Iterable, Splash, Intercom, Workfront, and Salesforce to optimize workflows and data processes within and across systems. A strong understanding of marketing processes, Martech, Integration & APIs, AI and automation will help you succeed in this role. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Main Responsibilities: Design, build, and maintain AI driven automations and integrations across marketing technologies to streamline workflows and bring operational efficiencies Partner with multiple stakeholders including regional marketing teams, marketing operations and marketing analytics to identify automation opportunities and remove process friction Translate marketing and campaign needs into automated, scalable system solutions, using Workato and related tools Collaborate with cross-functional teams, including IT, Marketing, Marketing Analytics, Engineering, and our Marketing Ops to ensure data integrity and alignment Monitor, troubleshoot, and optimize existing integrations for reliability and performance Create and maintain documentation, including automation playbooks and best practices Act as a subject matter expert and consultant within Marketing on process design and automation strategy Support governance, compliance, and change management related to system workflows and integrations Requirements: 5+ years of experience in