Software Development Enginner in San Francisco

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: We are seeking a highly skilled and experienced Staff Software Engineer to join our Test Platform team. In this role, you will have the opportunity to directly impact the design and architecture of our Developer Platform and tooling that enables SoFi engineers to create and deliver high-quality solutions. You will collaborate and partner with a curious team of engineers to design and deliver solutions that raise the testing and reliability standards for our backend and web applications. This new team will be focused on building a green field project to enable autonomous testing for our AI driven SDLC, leveraging cutting edge technologies to deliver a highly resilient and thorough platform. If you are a seasoned Staff Software Engineer with a passion for building products that just work and enabling developers to build reliable services, and a strong background in distributed systems, we invite you to apply for this exciting and new opportunity. What You’ll Do: Provide technical leadership for initiatives in Testing and Reliability, with a focus on integrating AI-driven automation and autonomous testing practices. Collaborate with product engineering teams to understand requirements and design platform capabilities that are efficient, robust, and developer-friendly. Architect and implement solution

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. The Lyft Business organization builds the platform that lets organizations move the people they depend on employees, clients, and customers. From the foundational mechanics of a company funding and provisioning a ride to the tailored workflows that get an employee to a client meeting or home after a late shift, we sweat the small stuff to make Lyft the transportation solution businesses build their programs on. As a Staff Software Engineer on the Lyft Business Team, you will act as a critical technical leader, taking holistic ownership of complex systems that span the rider experience, the administrator experience, and the enterprise integrations behind them — defining strategic roadmaps, driving cross-functional alignment, and driving engineering excellence to improve how organizations move their people. Responsibilities: Shape the long-term architecture for systems, taking accountability for both short-term functionality and long-term health Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform's stability, tracking down issues root causes and building preventive safeguards for your immediate scope and beyond. Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of s

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 Lyft Business Product Platform team builds the systems and experiences that power Lyft's B2B products — enabling companies, organizations, and their employees to seamlessly access Lyft's transportation network. We sit at the intersection of product and platform, owning both the customer-facing features and the underlying infrastructure that makes them reliable at scale. Our work directly impacts how businesses integrate with Lyft, how admins manage their programs, and how millions of riders get where they need to go. Responsibilities: Drive architecture and technical design for systems that are highly available, scalable, and built to last — not just for today's requirements but for where the product is heading Own features end-to-end: from shaping the technical spec and design through to production rollout and operational health Think critically about how AI capabilities can be incorporated into Lyft Business products to improve the experience for business admins and riders — and bring that perspective into roadmap and architecture conversations Make well-reasoned trade-off decisions and communicate them clearly to peers, leads, and cross-functional partners Write clean, well-tested, maintainable code and hold a high bar for the same in code reviews Partner across engineering, product, and design to align on direction and get buy-in on technical approaches Proactively engage in incident response, contributing both to resolution and to long-term reliability improvements Grow the team's technical culture through design reviews, tech talks, and mentorship Experience: 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're looking for someone who gets excited about building data infrastructure at massive scale and cares deeply about the gaming communities we serve. Someone with passion for building lovable products for Discord users and Discord engineers. We're building the next generation Data Platform that powers decisions for one of the most vibrant platforms in the world. If you're the kind of Staff Engineer who sees ambiguity as an invitation — who builds systems that make whole teams faster, shapes technical strategy across the org, and wants your decisions to directly impact millions of gamers worldwide — we want to talk to you. To learn more about Discord's Data Platform, read our engineering blog, including how we built our modern data stack leveraging open-source tools! This position is based in our San Francisco office. What You'll Be Doing Own the technical direction of major Data Platform initiatives like GRC, scaling, or stream processing, from problem to production system and post-launch health Be a force multiplier: build reusable primitives, unblock teammates, and raise the quality bar across the team Stay a top code contributor. You write real production code while helping others reach the same bar Partner with XFN stakeholders to translate business problems into clear technical strategy Champion debate, decide, and commit and 80/20 thinking to drive robust technical solutions supporting multiple team What you should have 7+ years of software engineering experience with a track record of driving large, ambiguous technical initiatives end-to-end Expertise in distributed systems and data infrastructu

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, NextJS and Node.js, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surf

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. To strengthen our efforts, we are hiring a Senior ML Engineer who will work end-to-end on creating and improving new capabilities to detect changes in the environment and reflect them in our Lyft map using a wide variety of input sources from the Lyft fleet. For this we are looking for someone who values software engineering best practices, loves the algorithmic and geospatial side of the challenge and is data-driven from start to end. Our technology stack ranges from basic machine learning models to large language models and running them at scale on millions of images. You will work with incredibly passionate and talented colleagues from machine learning, data science, and engineering on projects that delight our passengers and drivers – powered by an up to date map. Responsibilities: Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing proble

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic a

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: Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. You'll work side-by-side with talented product managers, data scientists, software engineers, fraud intelligence, and operations teams. Together, you'll design and build ML solutions that have direct, meaningful impact on user trust, business success, and the global Airbnb community. The Difference You Will Make: As a Senior Machine Learning Engineer on the Trust team, you will actively contribute code and ideas that shape the ML systems protecting millions of Airbnb users. You'll own and deliver ML projects end-to-end — from designing and training models to productionizing and operating them at scale, while collaborating closely with cross-functional partners. You'll tackle real-world challenges such as account takeover, fake accounts, payment fraud, and bot detection. Your work

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Platform Engineer at HP IQ, you will help build and evolve the infrastructure, tooling, and shared platform capabilities that enable our engineering teams to develop and operate reliable, secure, and scalable services across cloud and edge environments . You will work closely with application, services, AI/ML, and security teams to improve developer velocity, production readiness, reliability, and operational efficiency across a heterogeneous infrastructure footprint. What You Might Do Design, build, and maintain shared infrastructure and platform capabilities across cloud and edge environments. Build automation and self-service tooling that improves engineering velocity and operational consistency. Develop and maintain Infrastructure-as-Code, deployment workflows, and environment provisioning. Partner with engineering teams on production readiness, including reliability, security, observability, scalability, and recovery. Improve monitoring, alerting, incident response, and operational tooling across distributed environments. Automate repetitive operational t

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role We are seeking an experienced IT Engineer to own and enhance the technology experience within HP IQ. This role combines traditional IT operations, SaaS administration, endpoint management, and infrastructure support with a strong focus on automation, scalability, and employee experience. The ideal candidate is a hands-on problem solver who thrives in fast-paced startup environments, takes ownership of systems and processes, and proactively identifies opportunities to improve tooling, security, and operational efficiency. You will serve as a technical escalation point for the IT Support team while helping shape the future of our internal technology stack. What you might do Manage and administer core business platforms including Google Workspace, Microsoft 365, Okta, Slack, and other SaaS applications. Ensure employees have a seamless and productive technology experience across all systems and devices. Evaluate, implement, and optimize tools and workflows that improve employee productivity and reduce operational friction. Develop and maintain IT documentation, standards, processes, and