Senior Machine Learning Engineer, Platform Roku IncSenior Machine Learning Engineer, PlatformSan Jose, CA$229,500–$367,100 / yearYou will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale. Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second.
Senior Site Reliability Engineer, Aiops NvidiaSenior Site Reliability Engineer, AiopsSanta Clara, CAProven experience running large‑scale production deployments and multiple Kubernetes environments or clusters across teams or customers, coordinating changes and rollouts with minimal disruption with hands‑on experience with observability tools - you know your way around dashboards, metrics, logs, and traces using platforms like Prometheus, Grafana, or similar. Experience building safe automation that operators trust: canary releases, automated rollback criteria, "monitoring for the monitoring" (lag/drop/error budgets), and replay/backfill pipelines with correctness checks.
Director of Core Platform Engineering ArcadeDirector of Core Platform EngineeringPresidio, CaliforniaWe’ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
Customer Delivery Engineer Loft Orbital SolutionsCustomer Delivery EngineerSan Francisco, CA$130,000–$190,000 / yearMust Haves: 3+ years of experience in an operational engineering environment, such as satellite operations, forward deployed engineering, production infrastructure, backend or platform engineering for live products, or other mission-critical systems. With a growing fleet on track to reach 30 satellites by 2027, we are scaling up quickly across our offices in San Francisco, CA | Golden, CO | and Toulouse, France to meet accelerating demand for space infrastructure.
Staff Data Scientist - RiskOS SocureStaff Data Scientist - RiskOSSan Francisco, CaliforniaYou will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations.
Forward Deployed Engineer (Founding Customer Engineer) CleraForward Deployed Engineer (Founding Customer Engineer)San Francisco, California$140,000–$185,000 / yearThis is a founding, first-non-founder hire at a seed-stage AI SaaS startup building conversational agents that run automated product demos for B2B go-to-market teams. Build automation workflows and systems (scripting, APIs, low-code/no-code tools) to help the customer engineering function scale efficiently.
Forward Deployed Engineer - Modernizing Public Services EQL TechForward Deployed Engineer - Modernizing Public ServicesSan Francisco, California$125,000–$175,000 / yearThe Core Team: You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, a Payments Engineer from Microsoft and Goldman Sachs, and the former Deputy Director at Arizona's ESA department — who will be one of your closest collaborators when it comes to what state agencies actually need from this system. Partnership: EQL Tech has been exclusively retained by a high-growth technology startup to appoint a Forward Deployed Engineer to be the technical bridge between a state-scale public benefit program and the software that runs it — translating how banks, card networks, and state agencies actually operate into a system that works.
Product Manager, SDK Rad AIProduct Manager, SDKSan Francisco, CaliforniaOur latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. It is the surface where partner-generated content (preliminary reports, findings, measurements, worklist signals, and more) flows into the radiologist's reporting experience, and where partners can consume the routing, orchestration, and reporting capabilities Rad AI exposes.
Design Researcher, Geospatial & Utility Operations GridwareDesign Researcher, Geospatial & Utility OperationsSan Francisco, California$155,000–$165,000 / yearYou don't need to be a GIS analyst, but you need to be fluent enough to research spatial and data-heavy workflows without oversimplifying them, and understand: what users see, what they trust, where they are confused, and what the product must do to make complex multi-layer data legible and actionable. Establish systems that make research reusable and compounding — connecting customer profile, workflow, decision, data source, product surface, failure mode, required evidence, design implication, product decision, and open questions.
VP of Engineering - Rime.AI Unusual VenturesVP of Engineering - Rime.AISan Francisco, CaliforniaPriority triage: fielding requests from customers, sales, marketing, and leadership, and translating them into clear, sequenced tasks so ICs stay focused with aggressive prioritization. Cross-functional reconciliation: Be the cross-functional coordinator across engineering roles, build trust across the company by soliciting feedback and proposing concrete action plans.
Principal AI Learning & Enablement Partner Match GroupPrincipal AI Learning & Enablement PartnerSan Francisco, CA$180,000–$230,000 / yearYou will partner closely with AI Brand Leads, business leaders, and functional teams to translate emerging AI capabilities into practical, role-specific applications that drive meaningful behavior change. Close adoption gaps by identifying underutilizing teams and designing targeted enablement approaches, especially for non-technical employees and late adopters.
VP Of Product Management, Trust & Safety, Match Group Match GroupVP Of Product Management, Trust & Safety, Match GroupPalo Alto, CA$300,000–$335,000 / yearYou will own the long-term Trust & Safety product strategy and roadmap across our brands and the shared infrastructure supporting them - spanning the systems that detect harm, the tooling our moderation and care teams use, the capabilities that keep us compliant with a fast-moving global regulatory landscape, and the user-facing features that make safety something people can feel. You'll sit within Match Group's central Trust & Safety leadership team and operate across each of our brands - building a deep understanding of each brand's unique needs and focus areas, and defining a strategy that promotes safe and respectful interactions across our portfolio.
Research Engineer, Post-Training HarveyResearch Engineer, Post-TrainingSan Francisco, California$231,000–$340,000 / yearWe are looking for a research engineer who can help scale that loop: defining and running model training experiments, interpreting results, and working with internal and external research partners to build better data, environments, graders, and training recipes. The ideal candidate has extensive hands-on experience training open weight models, either in a research or production setting, and enough engineering depth to run and debug experiments efficiently.
Co-Founder & Ceo, AI For Predictable Drug Discovery And Development Deep Science VenturesCo-Founder & Ceo, AI For Predictable Drug Discovery And DevelopmentSan Francisco, CAWhat will work is a different way of doing the science itself: an AI framework that reasons through it end to end, drawing on everything, the literature, data and the wet-lab, built to get the most out of what today's agentic models are great at while guarding hard against where they fail. In a single run it processed an entire disease's single-cell data, ingested hundreds of experimental facts extracted from literature, built a connected map of the biology, and returned drug-target hypotheses.
Senior Software Engineer, Cloud Infrastructure DecagonSenior Software Engineer, Cloud InfrastructureSan Francisco, California$200,000–$400,000 / yearOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. Take end-to-end ownership of deployment architecture in customer-owned cloud environments (VPC configuration, permissioning, networking, provisioning) and the full lifecycle that follows: setup, upgrades, scaling, and incident support.
Director, Product & Ecosystem Partnerships LeanDataDirector, Product & Ecosystem PartnershipsSanta Clara, California8+ years in B2B SaaS across some mix of product management, product marketing, technology/product partnerships, or ecosystem/business development with clear product gravity (not a pure sales or quota-carrying background). This is a builder’s role with real scope: you define where partnerships create customer value, shape the integrations that deliver it, negotiate the agreements that unlock it, and project-manage the whole thing to done, both internally and externally.
Senior Software Development Tech Lead - Nvlink FW And Nvos NvidiaSenior Software Development Tech Lead - Nvlink FW And NvosSanta Clara, CAProven track record as a technical lead, engineering manager or architect for significant features or products across networking and datacenter infra with clear ownership for both creating and execution of goals. You will be the technical lead, incorporating our solutions and related technologies into our NVLink projects to ensure our customers can deploy NVIDIAs key network fabric infrastructure at scale.
Director, Solutions Marketing DelineaDirector, Solutions MarketingRedwood City, CaliforniaThis role owns the day-to-day development and execution of solution-level messaging, working in close partnership with the VP of Brand and Solution Marketing to bring the broader solutions narrative to life across campaigns, sales enablement, and content. You will partner closely with Product Marketing, Growth/Demand Generation, Content Marketing, and Sales Enablement to make sure solution messaging shows up consistently everywhere buyers and sellers encounter it.
Installer, Google Service PivotInstaller, Google ServiceFremont, CaliforniaWhether designing projects for our innovative clients, developing multi-pronged marketing strategies, or delivering a preeminent customer experience, we are constantly finding ways to underscore our promise to partner with our clients to make inspiring spaces that unlock their people’s greatest potential. Installer 4 (Master Lead) - Requires a high school diploma or GED and at least 7 years of related experience including systems furniture installation; or equivalent combination of education and experience.
Principal Design Engineer Micron Technology IncPrincipal Design EngineerSan Jose, CA$176,000–$298,000 / yearTechnical Ownership: Manage, design, and verify major IO/datapath blocks (input receiver, serializer, deserializer, clock distribution, equalizer, ZQ calibration, ONFI training features, wave pipelines) to rigorously meet performance specifications - employing AI-assisted exploration, sizing, and verification wherever it accelerates convergence. Proven track record to redesign or create engineering workflows around AI capabilities - for example, restructuring specs, review flows, or verification pipelines so that AI can operate on them effectively; building custom prompts, scripts, or agents that automate recurring engineering tasks.