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Senior Ai Ml Operations Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current senior ai ml operations engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

D
34mo ago

P-987 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and pos

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Verkada
📍 San Mateo• $130K – $280K/yr
35mo ago

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Work cross-functionally with hardware team to develop camera features in C++ and Python. Lead code reviews, debugging, and bug fixes. Experiment/test with new development boards. Make regular contributions to existing code base to push new features OTA on a frequent basis. What You Bring BS/MS in Computer Science (or similar degree) 5+ years of experience of software development for Linux in System Programming Languages (C, C++, Rust, etc) Proficient in modern C++ Experience in embedded development or experience with low-level system software development. Good knowledge with operating systems and computer architecture. Familiar with at least one scripting language (Python, Bash, etc). Good communication & documentation skills. Must be willing and able to work onsite five days per week Nice to Have Experience in Machine Learning

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About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the Role Cloudflare’s Emerging Technologies & Incubation team builds and launches bold new products on Cloudflare’s edge network. This role is on the Durable Objects team, which powers stateful serverless applications for Cloudflare customers. You’ll help evolve the runtime and the low-level routing and storage systems that support real-time chat, multiplayer games, AI agents, and other stateful workloads at sca

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D
40mo ago

P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and poss

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D
Databricks
📍 Bellevue• $157.7K – $213.8K/yr
41mo ago

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The impact you'll have: As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. Our backend teams span many domains, from OS/container systems, to serverless infrastructure, to partner integration, and to machine learning infrastructure. Below are some example projects and the Serverless platform : Build Databricks serverless platform that powers the big data, machine learning and Gen AI workloads. Automatically improve the performance and efficiency of workloads running on the platform while also ensuring they scale to millions of machines across a multi-cloud environment. Core cloud platform : Build cutting-edge OS, container and networking technologies that power the entire Databricks infrastructure, from internal infrastructure, to serverful, and to serverless platform. Improve the security, efficiency and reliability across the fleet. Partner ecosystem : Build and grow a partner ecosystem for Databricks SQL. Build and offer a variety of toolkits to support partners and customers’ deep and seamless integrations with Databricks. Maintain and nurture productive and beneficial partnerships within the ecosystem. Notebook dataplane : Build mu

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F
Fin
📍 Dublin• Full-time
41mo ago

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? At Fin, you will be a Senior Software Engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale our products

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M
41mo ago

About The Role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. About The Sales Culture MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you will bring to the table 4+ years field experience of quota-carrying experience in a fast-paced and competitive market Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients A proven track record of overachievement and hitting sales targets Ability to articulate the bus

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N
Nextdoor
📍 Us Remote• Full-time• Remote
43mo ago

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you’ll join a focused team of developers, product managers, and designers who are passionate about using technology to cultivate a kinder world where everyone has a neighbor they can rely on. We are a small, high performing team of engineers that wear multiple hats and prioritize impact for our customers. We care about moving fast and delivering impact, without compromising on quality and reliability as guided by our Engineering Principles . You will have the opportunity to learn from your co-workers and teach them. As a team, we will make each other better and build great software. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make We believe in empowering our teams to own all aspects of bringing Nextdoor to life. As such, you’ll get the opportunity to make key contributions across our enginee

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I
Instacart
📍 United States• Full-time• Remote• From $194K/yr
43mo ago

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 This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. At the bottom of this posting, you’ll find a breakdown of the currently open roles. About the Job Own analytical frameworks that guide the product roadmap. Design rigorous experiments and interpret results to draw detailed and actionable conclusions. Develop statistical models to extract trends, measure results, and predict future performance of our products. Build simulations to project the impact of various produ

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I
Instacart
📍 BC, Canada• Full-time• Remote• From C$161K/yr
43mo ago

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 This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. At the bottom of this posting, you’ll find a breakdown of the currently open roles. About the Job Own analytical frameworks that guide the product roadmap. Design rigorous experiments and interpret results to draw detailed and actionable conclusions. Develop statistical models to extract trends, measure results, and predict future performance of our products. Build simulations to project the impact of various produ

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Présentation du poste : Au sein de l’équipe technique d’Artefact, vous rejoignez une communauté de Software Engineers intervenant en tant qu'architectes et développeurs auprès de grands groupes mondiaux. Dans un contexte de forte accélération autour de la Data et de l’IA Generative, vous intervenez pour répondre à des problématiques stratégiques et complexes d'ingénierie logicielle. Ce qu’on attend de vous : En tant que profil Senior, vous concevez et déployez des architectures robustes (Data Platforms, Agentic Platforms), tout en encadrant les choix techniques et la qualité des livrables. Vous jouez un rôle clé dans l'épanouissement de l'équipe à travers le mentoring, les revues de code et le partage de bonnes pratiques sur des stacks modernes. Vos missions : Concevoir et déployer des architectures Data & IA complexes et scalables (ex. architectures Médaillon, solutions multi-agents LangGraph sur Kubernetes). Construire des Data Platforms robustes sur GCP, AWS, Azure ou Snowflake en appliquant les principes de l'Infrastructure as Code (IaC). Intégrer les technologies GenAI et LLM au sein de systèmes complexes (orchestration, évaluation, contrôle) et utiliser des coding agents au quotidien pour optimiser la productivité. Garantir la qualité du code, la sécurité et la performance des livrables en appliquant les meilleures pratiques de Software Engineering. Accompagner et faire monter en compétences les membres de l'équipe à travers des revues de code formatrices et du mentoring. Défendre et soutenir de manière pédagogique des convictions techniques fortes auprès des clients et des équipes. Participer activement à la vie de la communauté technique (Guildes, Talks Tech, REX) et au partage de connaissances. Profil recherché : Expérience & Mindset : Profil Senior ingénieux, curieux et exigeant, disposant d'une solide expérience en ingénierie logicielle et sur des architectures complexes en production. Résolution de problèmes : Capacités d'

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Vise
📍 New York• $180K – $250K/yr
45mo ago

We are not working with external recruiting partners at this time, please apply directly to the role if you have further interest in joining Vise Engineering at Vise has the unique opportunity to use technology to revolutionize the investment industry. Team members are given ownership and trust with the understanding that they are supported by industry experts and together can build a best-in-class product. We are a small and fast-paced team where everyone has a voice in the development of our product and technology. As a senior full-stack software engineer, you will play a flexible role across our product—working on everything from our core portfolio creation engine to our trading system to our client-facing web application. You will have significant ownership and will have the opportunity to impact everything from requirements gathering and designing systems to implementation, release, and monitoring. This is a high visibility technical leadership role with a tremendous opportunity to impact the company’s trajectory. Please note, this role is primarily onsite, working from our SoHo office. What you will do Lead the implementation of the systems that power and scale our business Uncover and address system bottlenecks as we mature our tech stack Partner with the Product team to provide impactful, measurable and testable solutions for our customers When appropriate, coach and mentor engineers on best practices Advocate for best in class technology and tooling to improve the development experience Contribute to operational excellence What you will bring on Day 1 5+ years of software development experience outside of education and internships Experience with backend and frontend languages. Our stack includes Python, Golang, TypeScript, so direct experience working with these is a big plus. Experience with React and a familiarity with the latest frontend frameworks and tools Experience with relational databases — we use Postgres. Firm understanding of data structu

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D
Databricks
📍 Mountain View• $166K – $225K/yr
46mo ago

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale. The impact you'll have: Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as: Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers Build tools to allow Databricks engineers to operate their services across different clouds and environments Build services, products and infrastructure at the intersection of machine learning and distributed systems. What we look for: BS (or higher) in Computer Science, or a related field 5+ years of production level experience in one of: Java, Scala, C++, or similar language. Experience developing large-scale distributed systems. Experience working on a SaaS platform or with Service-Oriented Architectures. Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes. Experience with security and systems that handle sen

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D
Datadog
📍 New York• Full-time• $130K – $300K/yr
46mo ago

As a Software Engineer - Frontend on a feature team, you'll be responsible for building an intuitive, responsive product. Your work will help thousands of customers to monitor the health and performance of their systems, no matter the scale. In this capacity, you’ll use tools like React and Typescript to help streamline the flow of data from platform to user, enable seamless pivots from one view to the next, and build a powerful yet easy-to-use platform. You will work on complex frontend challenges for thousands of customers with huge sets of data and work on exciting scalability and performance challenges. Our users are also developers so you will feel close to the product and have an impact on the development world. You will be part of a front-end community of 200+ passionate frontend engineers and you will be surrounded by experts. Join us to build the next generation of high-scale, data-powered features for our customers. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work closely with backend engineers, product managers and designers to inform/refine/validate design concepts Break down complex features into distributable engineering tasks and rollout plans Design and deliver features that have direct impact on thousands of users Experiment with and advocate for new systems, design patterns, and tooling Participate in hackathons, sync with other Front end engineers at the monthly demos meeting and yearly Front End summit Use and contribute to a best-in-class in-house design system Own meaningful parts of our service, improve performance and address scalability limits Work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challen

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R
Robinhood
📍 United States• Full-time• $196K – $230K/yr
47mo ago

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

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