Senior Ml Systems Engineer Jobs

#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 Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product. 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 As a Senior Data Scientist on the Search team, you will shape how neighbors find the people, places, posts, and business

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev

Opportunity Overview: As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation Provide scientific and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives. What you’ll need: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Nice-to-haves Experience with generative AI or Retrieval Augmented Generation (RAG) Experience working with unstructured healthcare data (e.g., clinical notes) Experience with OCR or image-based document understanding techniques Hands on experience using AWS tools such as SageMaker Studio ISMS roles and responsibilities Good knowledge of Information practices. Assist the manager in all the information security activitie

MKTQ227R30 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations on the West Coast. Agentic AI has taken the world by storm and Databricks is proud to be a leader in this space. With a data-centric approach to AI, Databricks enables customers to build-high and use quality AI agents and applications. As Director of Product Marketing for Databricks AI, you will lead and develop a high-performing team while overseeing the end-to-end marketing strategy across Agent Bricks, our enterprise agent platform, and core machine learning products. Reporting to the Senior Director of Product Marketing, you’ll define and execute marketing strategies that drive AI adoption, enable sales and partners, generate pipeline and drive developer adoption of AI. Partnering closely with product, sales, and marketing teams, you’ll translate product innovation into clear market narratives, compelling customer content, targeted campaigns, and impactful product launches. The impact you will have: Own the marketing strategy and planning, ensuring alignment across teams and consistent execution Lead, mentor, and scale a team of product marketers, fostering a culture of accountability, creativity, and continuous development Build and land collaterals for key channels across sales, partner, and demand generation, including content campaigns and events Establish and operationalize an always-on go-to-market plan and pilot new programs with a strong focus on winning AI mindshare, driving pipeline, and product adoption Build a strong and collaborative partnership with product and engineering teams to launch new products Build trust with customers and amplify their agentic AI success stories What we look for: 10+ years of technical product marketing experience in an enterprise software company including experience leading and developing teams Experience with AI/ML technologies Strong understanding of AI decision makers and b

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Addepar's Private Fund Look-Through (PFLT) offering gives clients deep visibility into the underlying holdings of their private fund investments by extracting holding-level data directly from GP financial statements—primarily the Schedule of Investments (SOI). This white-glove solution combines proprietary AI/ML extraction technology with human-in-the-loop review to ensure maximum accuracy and full portfolio transparency. As part of the broader Addepar Data organization, the PFLT Data Operations Team Lead is responsible for managing a team of Analysts and Senior Analysts focused on reviewing, validating, and enriching complex fund holding data within target SLAs. This role acts as a domain subject matter expert, overseeing exception resolution, pipeline monitoring (Databricks, Retool, Monday.com), and data entity mapping. You will play a pivotal role in driving team performance metrics, leading ML model retraining initiatives, and collaborating across Product, Engineering, ML Operations, and Client Success teams. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You'll Do Lead and manage a team of PFLT Analys

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role You will... Derive insights from data to influence product roadmaps and drive business results Apply advanced analytical methods, structural approaches, causal inference, and/or machine learning and AI to model user behavior and estimate the impact of potential new feature implementations, and collaborate with product and engineering teams to develop solutions Evaluate product experiments to create and improve user experiences Communicate and present findings and recommendations to senior management Help preserve our culture of fact-based decision making as we scale You have... Pursuing a PhD degree (in at least the third year of PhD program) in a quantitative field (e.g. Economics, Finance, Statistics, Math, Linguistics, Computer Science, Computational Social Science, ML/AI), ideally planning to graduate in Fall 2027 or Spring/Summer 2028 Strong understanding of consumer digital products and an interest in applying advanced analytics and economics to business outcomes Previous experience analyzing large datasets, communicating results to technical and non-technical senior-level audiences, and making actionable recommendations that improve the product or business Skilled in SQL, R or Python, and/or statistical methods to analyze behavioral data Enthusiasm for learning and sharing analytical methods to h

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are a high-impact team driving Micron’s investment strategy and AI initiatives at the intersection of technology, venture capital, and the semiconductor ecosystem. We partner closely with business and engineering leaders to identify emerging opportunities, shape strategy, and translate innovation into real outcomes. If you’re excited about influencing where AI and infrastructure are headed, this is a seat at the table! This role sits at the core of our venture and AI strategy efforts. You will source and evaluate investments, guide strategic initiatives, and connect insights from the AI ecosystem to executive decision-making. It is both analytical and highly collaborative, requiring strong judgment, technical fluency, and the ability to influence senior stakeholders. Responsibilities: Source and evaluate venture investments across Seed, Series A, and Series B, owning deal flow through diligence and execution Drive alignment and execution of AI/ML initiatives across the company, including Generative AI and physical AI Maintain relationships with portfolio companies and ensure alignment with Micron’s investment strategy Develop executive-level briefings and recommendations for leadership, the Board, and the Investment Committee Mentor team members and partner cross-functionally with business and technology stakeholders Minimum Qualifications: Master’s degree in Computer Science, Electrical/Computer Engineering, Mathematics, Ph

About Us Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You'll join the Full Stack group within Cloud Services, which is being built now. Today, production and analytical workloads share a single database, and each product defines its own metrics. This team exists to fix that by designing and building the warehouse, transformation layers, and semantic model from the ground up. You'll work closely with Full Stack, ML, Product, Security, and Customer Success. About the Role Most data engineers early in their careers maintain one slice of a large, mature platform, or build pipelines against a model someone else designed years ago. This role is the opposite. As an SDE II, Data Engineer, you'll be one of the first engineers building Gather AI's data foundation from scratch. The work includes: Moving analytics off our production PostgreSQL database Writing the layered dbt models every product will share Defining metrics once so they stay consistent everywhere Linking structured records back to the drone images and video they came from You'll start by shipping well-scoped pipelines and models on our Drone product alongside senior engineers. From there, you'll grow toward owning a dat

Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. In this role, you will lead technical delivery for one of Scale's most consequential Public Sector programs, building AI-enabled planning and decision-support capability for major Department of War commands. Partnering with the program's Delivery Lead, you own the technical shape of what we ship: how Scale's products come together, where we extend them, and what we build from scratch. You will also lead a team of Technical Program Managers, coaching them through ambiguous problems and multiplying what the group can take on. You will: Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users Own the technical shape of what we deliver: whether we are combining Scale's products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space Transition AI/ML technologies and processes into working Public Sector products / solutio

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... At GoDaddy, we're building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale. We're looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands-on role where you'll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions while helping shape the future of our machine learning platform. As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team. What you'll get to do... Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks. Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch. Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Lead technical delivery: Run agile delivery teams to unify and scale AI efforts, delivering a robust portfolio of enterprise AI solutions across Micron. Embed security by design: Integrate automated security controls into Micron's AI ecosystem (CI/CD pipelines, sensitive-data classification, identities), positioning security as an enabler. Translate strategy to impact : Convert business challenges into actionable technical strategies, focusing on rapid, high-impact solutions with clear returns and minimal delay. Establish enterprise architecture : Help define the enterprise AI architecture through a strategic roadmap, robust framework selection, and standardized, reusable development patterns for global deployment. Build and strengthen the team : Cultivate a premier AI engineering team, aligning skills across a distributed group, supporting around-the-clock delivery, and driving innovation through experimentation. Cultivate the program : Serve as spokesperson for Micron's IT Generative AI enterprise program with internal and external audiences, showcasing engineering accomplishments with strategic partners while reinforcing the unified enablement vision. Minimum Qualifications Experience: 10+ years in software engineering or IT, including senior leadership handling AI/ML or digital-transformation portfolios. Education: Bachelor's or master's degree in computer

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including

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 . TwoTwenty is Pinterest's innovation lab, building visual-first AI products — assistants, Gen-AI creation tools, and editing experiences — with startup speed at Pinterest scale. We're looking for a Senior Director of Engineering to lead a team of 10 (7 direct reports across ML engineering, software engineering, data science, and product management), own the technical strategy for TwoTwenty's AI product portfolio, and scale the org from scrappy to enduring without losing what makes it fast. This role reports to the VP of Product Management, Core, and partners closely with Pinterest's Core Product & Engineering, Advanced Technologies Group, and Trust & Safety teams to ship AI features that reach hundreds of millions of Pinners. What you'll do: Drive execution of TwoTwenty's 1–3 year technical strategy across visual AI assistants, gen-AI cre

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Join us in shaping the experience that millions of customers land on every time they open DoorDash, Wolt, or Deliveroo. As part of our Core Consumer organisation, our Homepage team owns one of the single biggest levers we have on what customers find and one of the hardest surfaces in the app to get right. Working at the intersection of ranking, personalisation, and AI/ML, you'll help decide what each customer sees and why, across three brands and dozens of markets. You'll be building on a global stack, and your roadmap will be a mix: global platform problems that apply worldwide, global capabilities we're accelerating into EMEA, and EMEA-specific problems worth solving properly rather than working around. We're looking for a Senior Product Manager to join our Homepage team. In this role, you'll shape how customers discover restaurants, grocery and retail venues, dishes and products — and help define what discovery looks like as AI-driven and agentic experiences change the way people decide what to order. What You'll Be Doing You'll be joining a team working on one of the most-used surfaces in the app. Here's what your day-to-day might look like: Building new end-to-end features and user experiences on Homepage that shape how customers discover restaurants, g

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a strategic, creative, meticulous, and highly collaborative Account-Based Marketing Manager to craft, lead, and scale ABM programs across priority Public Sector accounts in AMER. This role sits at the intersection of marketing, sales, and customer success — owning high-impact campaigns across 1:1 and 1:few ABM motions, with a focus on senior government decision-maker engagement, mission-driven storytelling, and pipeline contribution. This is a unique opportunity for a marketer who understands the nuances of government buying cycles, procurement processes, and the importance of compliance and trust. You will drive personalized programs that navigate sophisticated ecosystems — from program offices to CIOs and acquisition teams — to fuel significant revenue outcomes. What You Will Be Doing ABM Strategy & Execution Design and implement 1:1 and 1:few ABM programs aligned to PubSec account clusters by agency type and buying group Lead account-level planning sessions with PubSec sales and customer success teams to define agency priorities, mission outcomes, and campaign timelines Personalize messaging and value propositions around critical use cases — cybersecurity, data analytics, AI/ML, and observability — across channels to influence government buying committees Develop integrated ABM plans using a mix of tactic