Engineer 4 in Canada

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 Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily. Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, hi

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 Red Team team’s mission is to proactively identify and simulate real-world threats against Robinhood’s platforms, properties, and people. Through red teaming and adversarial simulations, the team evaluates security controls, uncovers vulnerabilities, and helps continuously strengthen Robinhood’s overall security posture in close partnership with Detection & Response, Physical Security, and Engineering. As a Staff Offensive Security Engineer, you will take a hands-on role in designing and executing stealthy adversarial simulations to validate assumptions and uncover gaps in detection and response. You’ll leverage threat modeling, penetration testing, and research-driven techniques to emulate sophisticated attackers, while collaborating cross-functionally to improve defenses and shape more secure systems. This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll

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, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. 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 Senior Software Engineer for the Paid MarTech pod to architect and scale backend services and ETL processes enabling marketing campaign execution, conversion tracking, and third-party integrations across Paid Social, Display, SEM, Online Video, Linear Television, and Streaming Audio. You'll lead projects end-to-end, drive technical direction, mentor engineers, and partner closely with Marketing, Operations, and Product leadership to shape tec

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 Cloud Security team is focused on protecting Robinhood’s AWS cloud and providing engineers with foundational security capabilities. It is a major contributor to the company’s least privilege objective to manage network traffic and reduce the level of access that employees have or could obtain through escalation. A Senior Security Engineer on the Cloud Security team is a well-rounded technologist and a deep subject matter expert in cloud security and building security controls on Amazon Web Services (AWS). The ideal candidate for this role will embody and exemplify our Safety First value. This role is based in our Bellevue, WA, Menlo Park, CA, and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do As a Senior Security Engineer you will be part of a team which owns the security posture for cloud infrastructure on which all Robinhood products are built You will build and operate solutions that protect fou

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. About the Team The Security Operations (SecOps) team at Robinhood proactively safeguards our platform and millions of customers. We monitor, detect, and respond to security threats in real time while staying ahead of risks through threat intelligence, Red Team operations, and research partnerships. We are building the next generation of security operations—leveraging AI-driven automation, Autonomic Security Operations (ASO), and innovative detection frameworks to set the standard across the cybersecurity industry! About the Role As a Staff Security Engineer (IC6) on the Detection & Response team, you will drive our incident response strategy, build robust detection engineering frameworks, and mentor engineers across the organization. In this high-impact role, you will command high-stress incident responses, eliminate operational noise by developing an AI-native detection platform, and help shape the broader AI-agentic ecosystem for SecOps. You will work closely with cross-functional partners in Proactive Security, Security Engineering, Insider Trust, Infrastructure, Legal, and Communications to protect Robinhood’s ecosystem. This role is based in our Bellevue, WA a

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. Robinhood's Enterprise Security team is at the forefront of AI security, designing safety guardrails for cutting-edge AI and driving modern enterprise-wide security tooling standards. As a Senior Corporate Security Engineer on our Corporate Systems team, you will operate at the center of our enterprise security infrastructure, maintaining the control plane for user-facing security tooling and building innovative solutions that keep our employees and platform secure! In this role, you will combine security engineering, systems administration, and hands-on AI agent development to drive key automation and safety initiatives. Joining a lean, high-impact team, you will have high visibility and direct empowerment to take strategic initiative, solve complex technical challenges, and shape Robinhood's AI security posture. This role is based in our Menlo Park or Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

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 AI R&D team is at the core of Robinhood's product intelligence. Our mission is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer. We move fast, raise the bar, and care deeply about building things that matter. If you've ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you! As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform. You'll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale. You'll help define the team's technical direction, mentor engine

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 Corporate Systems team focuses on maintaining secure, reliable systems that support employees across the company. This team works closely with Security, IT, and Engineering partners to manage identity systems, endpoint devices, and cloud infrastructure. The goal is to ensure systems are scalable, dependable, and prepared to address evolving security risks. As an Application Engineer, you will manage and improve systems that support identity, device management, and cloud infrastructure. You will build automation to streamline account and device lifecycle processes, respond to technical issues, and contribute to engineering standards through code reviews and documentation. You will also use AI-assisted tools to enhance development workflows and improve efficiency. This role is based in our Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do You manage endpoint devices, identity systems, Okta, Go

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 thoughtful problem-solvers and builders who want to make a meaningful contribution. Robinhood is a place where people take ownership of their work and help improve financial access for all. We operate with high standards, clear accountability, and a strong focus on security and ethics in everything we build! The Red Team’s mission is to identify and reduce real-world security risks across Robinhood by simulating adversary behavior and testing defenses. As a Staff Offensive Security Engineer, you will plan and execute security assessments across applications, infrastructure, and physical environments, and partner closely with engineering and security teams to strengthen detection and response capabilities. You will help prioritize risk, contribute to remediation efforts, and develop tools and techniques that improve how we test and secure our systems. Your work will directly support the safety and reliability of products used by millions of customers. This role is based in our Bellevue, WA, New York, NY, or Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Evangelize the Offensive Security Team’s Findings and Projects with stakeholders throughout the company and collaborate with other teams to create solutions that

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 Security Platform team is responsible for the secure lifecycle, governance, and protection of Robinhood’s most sensitive user data. This team builds foundational systems such as secure data pipelines, tokenization services, and privacy compliance infrastructure to ensure customer data is handled responsibly and in line with regulations. The team works closely with security, infrastructure, and product engineering partners to ensure data is both usable and protected. You will contribute to systems that support authentication, third-party integrations, and emerging AI-driven use cases. As a Senior Software Engineer, you will design and build backend systems that securely process and manage customer data across Robinhood’s platform. You will own the systems that handle authentication, authorization, and privacy-preserving data operations. This role involves close collaboration with engineers focused on access management, infrastructure, and data systems. Your work will directly support efforts to improve system reliability, strengthen data protections, and enable new product capabilities using secure data. This role is based in our Bellevue, WA, and Menlo Park, CA off

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 Role + Team The Security Engineering team builds the identity and access control plane governing how employees, services, and agentic workloads access Robinhood’s critical infrastructure. We are a platform-building engineering team focused on creating secure, frictionless, and automated self-service access systems at scale. As a Staff Software Engineer on this team, you will shape Robinhood’s foundational identity architecture, define technical strategy, and build Tier-0 access infrastructure used across the entire company! From solving complex authentication and authorization challenges to setting secure guardrails for emerging AI and agentic workflows, your technical leadership will directly impact every product team at Robinhood! What You'll Do Access Control Plane Architecture: Define and build the core technical architecture for managing employee, service, non-human, and agentic access across company-wide resources Tier-0 Platform Engineering: Design, build, and operate highly available, resilient, and observable backend identity infrastructure using Go, Python, Rust, or comparable systems languages. AuthN & AuthZ Solutions: Implement modern identity protocols and access frameworks (OAuth 2.0, OpenID Connect, RBAC, ABAC, and policy-based access controls). AI & Agentic Access Governance: Develop secure access patterns, identity frameworks, governance, and observability guardrails for AI agents, LLM applications, and Model Context Protocol (MCP) systems. Self-Service Developer Experience: Create automated, developer-friendly platforms that allow teams to request, approve, provision, and audit access without ma

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. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

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. 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