Python Developer Jobs

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, data pipelines, and platforms powering Instacart's growth. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Software Engineer II for the Technical Search Visibility pod to build features and systems that enhance Instacart's search engine visibility and drive organic traffic — one of our most substantial growth levers. You'll develop full-stack features that improve SEO performance across millions of web pages, contribute to data pipelines that surface optimization insights, and work across our stack to ensure our platform is discoverable by millions of users. You'll deliver features end-to-end, contri

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Engineering team builds and maintains the foundational datasets that power decision-making across Robinhood. We design reliable, scalable data systems that support product analytics, growth strategy, financial reporting, experimentation, and machine learning. The team partners closely with Product, Engineering, Data Science, and Finance to ensure accurate, well-modeled data is available to teams across the company. Our work directly influences how Robinhood measures performance, improves customer experience, and scales its products. As a Senior Data Engineer, you will design, build, and evolve core datasets that track product performance and company-wide metrics. You will develop scalable data pipelines that ingest application events and database snapshots into our data lake, ensuring high data quality and reliability. You’ll collaborate with application engineers to improve data generation patterns and with analytics teams to design intuitive, well-documented data models. This is an opportunity to shape the technical foundation that supports data-informed decisions across the organization! This role is based in our Menlo Park, CA office, with in-person attend

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions. Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs. As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day. Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. This is a unique opportunity to apply state-of-the-art language models and predictive analytics to

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. What you'll do: Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capab

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Security Operations Specialist on the Security Operations team, you'll defend Coinbase and its customers against some of the most sophisticated attackers in the world. This team - spanning CDRE, Insider Threat, Blockops and Threat Intelligence - protects billions of dollars in digital assets while scaling security coverage for the next billion crypto users. You'll own frontline incident response, build detection and automation capabilities, and partner across the organization to keep Coinbase safe as it launches new Web3 products globally. What you'll do: Own second-line triage and response for security alerts, leading incident management through resolution and driving post-incident improvements Build and maintain runbooks for repeatable response patterns, then define and implement automation to eliminate manual toil Partner with teams across Security Operations to develop monitoring strategies informed by attacker investigation findings Drive Security monitoring and incident response for emerging Web3 product launches Strengthen team capabilities by mentoring peers, sharing knowledge, and participating in 24/7 rotational coverage across time zones Required Skills and Experience: 3+ years of hands-on security operations experience including incident response, alert triage, and network/host forensics across cloud, SaaS, and container environments Demonstrated abi

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: Own end-to-end pricing experimentation, from test design through analysis and recommendation Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Analytics Engineer As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale. What you'll do: Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams. Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures. Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization. Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization. D

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reac

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Software Engineer - Compliance CXAE (Charlotte, NC) As a Software Engineer on the EAA Compliance CXAE team within the Platform group, you'll build the AI-first applications and services that power how CX Compliance agents work every day. This team is responsible for the platforms, tools, and integrations that streamline compliance processes, helping agents resolve customer issues and KYC workflows faster, with greater accuracy, and at scale. You'll own full-stack feature delivery across Golang and React, ship third-party integrations, and directly improve the productivity and compliance experience for millions of Coinbase customers. This role requires you to be based in Charlotte, NC and is not eligible for fully remote work. What you'll do: Own end-to-end development of user-facing features across the compliance agent platform using Golang, React, and cloud technologies, from design through production deployment. Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities and accelerate delivery. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex compliance and CX problems. Build and maintain scalable, high-traffic services leveraging event-driven architectures, caching, load balancing, and observability tooling across AWS and Kubernetes. Ment

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. What you'll do: Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Co

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Engineer on the FinHub - Ledger team within the Platform group, you'll own the architectural direction of Coinbase's core ledgering systems that process billions of transactions. This team builds the foundational infrastructure that powers financial accuracy and reliability across the company. You'll make critical technical decisions, drive platform improvements, and lead high-impact cross-functional projects that define how we build scalable, highly available systems at Coinbase's growing scale. What you’ll do: Architect and build foundational backend systems with a focus on performance, scalability, and reliability across ledgering and transaction processing infrastructure Drive strategic technical direction for complex, cross-team initiatives spanning engineering, product, and finance Establish and evolve platform best practices, frameworks, and architectural standards that raise the quality bar for the broader engineering organization Provide deep technical mentorship, guide design decisions, and develop senior engineers across the team Shape the team's technical roadmap by collaborating with engineering leadership to identify high-leverage investments and anticipate scaling bottlenecks Embed AI into engineering and operational practices to drive system improvements and workflow efficiency Required skills and experience: 8+ years building and ope

At Lyft, our mission is to improve people's lives with the world's best transportation. To accomplish this, we start with our community by creating an open, inclusive, and diverse organization. About the Team The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. About the Role We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priori

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. Trust and confidence is fundamental to the Lyft marketplace, and the Pay, Integrity & Identity (PII) Analytics team is charged with providing and ensuring that trust and safety to all customers. The PII Analytics team is one of the most critical teams that helps protect Lyft and enables the company to grow in a sustainable way. The team is fast-paced, high-energy, and meticulous in diagnosing emerging fraud patterns and preventing fraud loss before it can happen. We drill holes in all the products we launch and obsess over how to make our business impervious to fraud vectors. The team conducts a rigorous analysis of complex data sets and sets up multiple layers of business rules, models, and other processes to prevent potential fraud. We are a highly cross-functional team and regularly engage in discussion and reviews with stakeholders to prioritize plans for reducing fraud impact and introducing safety features. We’re looking for a rock-star to join a fast-paced environment to contribute to Fraud-related analysis and operations. This individual is responsible for investigating and developing solutions to prevent and mitigate third party fraud. This person will proactively identify fraud patterns and sources to minimize the company’s exposure to financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud in the earliest stages of detection. The Senior Analyst will define fraud prevention measures that are mindful of the impact on good user experience while inhibiting fraud actors’ ability to reach our platform. This person is quantitatively driven, detail-focused, and operations-savvy while ensuring the best possible customer experience. This individual possesses a high level of subject matte

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. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

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. We are looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis. You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. Responsibilities: Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels. Go beyond standard metrics to uncover the "why" behind performance. Build, maintain, and improve dashboards and reports that track key marketing KPIs. Ensure that stakeholders have access to timely and accurate data to inform their decisions. Design experiments to test hypotheses and analysis to measure business impact Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics Translate insigh