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Machine Operator Integrator Jobs

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Data Center Operations Manager, you’ll oversee the data center technicians who keep SpaceXSI's AI infrastructure running smoothly. This role is pivotal in ensuring our systems operate at peak efficiency, supporting the compute power behind our mission. You’ll co-lead a skilled team, manage critical operations, and implement smart, sustainable solutions. We’re looking for someone with technical expertise and a proactive approach to maintain and scale our facilities effectively. RESPONSIBILITIES: Oversee Site Operations: Manage power, cooling, networking, and hardware deployments to ensure 99.999% uptime for SpaceXSI's AI compute systems, keeping our infrastructure reliable and ready for innovation. Guide Your Team: Lead and develop a team of Data Center Operations Technicians through training, performance evaluations, and fostering a collaborative, high-performing environment tied to SpaceXSI's objectives. Streamline Processes: Take charge of hardware lifecycles, incident resolution, and inventory management, refining procedures to ensure your team operates with precision and consistency. Connect Key Players: Coordinate between technicians, SpaceXSI'

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Tenstorrent
📍 Austin• Full-time• $100K – $500K/yr
2mo ago

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Staff Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact. This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box. You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact. You work directly with customers to understand their challenges and provide effective solutions. You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if n

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Biohub
📍 Redwood City• Hybrid• $214K – $294.8K/yr
2mo ago

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities—sequences, images, sp

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2mo ago

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is looking for a Senior Partner Sales Support Specialist based in the Philippines. This role is a critical enablement function supporting our Enterprise Partner Managers worldwide. You’ll be the operational backbone that keeps our partner sales motion running smoothly, helping Enterprise Partner Managers close deals faster by handling sales support activities across all regions. This is a high-impact, globally-scoped role that sits at the intersection of partner operations, sales enablement, and deal support. The candidate will be customer and partner-facing (on Zoom). The role: Provide day-to-day partner support to Enterprise Partner Managers across all regions (AMER, EMEA, APAC, LATAM), including deal registration processing, pipeline management, and opportunity tracking. Own and process smaller partner-sourced deals end-to-end, managing them through internal systems to ensure fast, accurate closure. Manage internal system administration (Salesforce, deal desk, CPQ) to remove friction from the partner deal cycle, including quote generation, order processing, and approval routing. Coordinate and manage partner onboarding logistics, ensuring new partners are set up in systems, trained on tools, and equipped to transact effectively. Maintain partner CRM data hygiene, ensuring accurate pipeline inputs, deal stage progression, and timely reporting for leadership. Act as the internal point of contact for partner deal escalations, liaising with Deal Desk, Legal, Finance, and RevOps to unblock and accelerate closures. Process MDF (Market Development Fund) submissions, track claims, and ensure timely

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Datadog
📍 New York• Full-time• From $71K/yr
2mo ago

Datadog is looking for a resourceful and creative Associate Field Marketing Manager to lead event strategy and execution for Datadog's AI product line across the East and Canada region. This role is ideal for someone who is passionate about AI and developer communities, enjoys getting hands-on with technical audiences, and wants to build a market-leading brand presence for Datadog's AI offerings. As part of the NAMER Field Marketing team, you will own the strategy, planning, and execution of a mix of practitioner-focused events, hands-on workshops, and surround activations at major AI conferences. This role is critical to scaling awareness and adoption of Datadog's AI products, and to building durable relationships with AI customers, prospects, and the broader developer community. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own the strategy, planning, and end-to-end execution of AI practitioner events, hands-on workshops, and meetups across the East and Canada Lead surround and off-site activations at major AI conferences (e.g., NVIDIA GTC, Ray Summit, AI Engineer Summit, and similar industry events) to build brand visibility and drive engagement with target audiences Partner with Product Marketing and AI/ML product teams to translate Datadog's AI observability and LLM monitoring capabilities into compelling, technically credible event content Design and continuously improve hands-on workshop curriculum and live demos that showcase Datadog's AI products to practitioners and technical decision-makers Build scalable, repeatable event playbooks and toolkits so programs can be run consistently across multiple markets Manage vendors, venues, budgets, staffing, and on-site logistics, ensuring every event reflects Datadog's brand and delivers a seamles

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At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is seeking a driven, consultative Growth Account Executive to join our EMEA team in Ireland. In this role, you’ll be at the forefront of transforming how Growth organisations adopt productivity solutions. You’ll leverage your EQ, IQ, and curiosity to deliver a truly consultative sales experience—helping customers realize the full value of ClickUp’s all-in-one platform. If you’re a persuasive self-starter with high integrity, a positive attitude, and a passion for building authentic customer relationships (not aggressive sales tactics), this is the role for you! The Role: * Own and work all new business leads for Growth accounts in your region * Consistently exceed pipeline and sales targets by converting free trials, marketing-qualified leads, and demo requests into paid customers * Master the ClickUp product and confidently field customer service and product questions * Deliver compelling presentations and demos via online web conferencing tools * Collaborate with Growth and Marketing teams to optimise lead generation and sales conversion * Identify customer segments and new opportunities to improve pipeline quality Qualifications: * Demonstrable experience converting net new prospects and growing/retaining SMB customers * Proven SaaS sales cycle expertise and track record of exceeding quota * Excellent written, verbal, and presentation skills * Process-driven with strong attention to detail * Experience completing and leading RFIs/RFQs Desirable: * MEDDICC or MEDDPICC training highly desirable * Experience selling project management or productivity software * Familiarity with Salesforce, Peop

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meesho
📍 Bengaluru• Full-time
2mo ago

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the role Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Director - Data Science to lead a team of skilled data scientists in building intelligent systems that power Meesho’s next phase of growth. In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement. What You Will Do Lead, grow, and mentor a high-performing team of data scientists.. Own all data science systems and models in your charter — from strategy to deployment and monitoring. <li style="font-size:

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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. Summary The Frontend Central Product Integration Engineering and Transformation (CPIE) team drives innovation across semiconductor manufacturing by identifying opportunities to improve yield, quality, process capability, and operational efficiency. The team collaborates with engineering, manufacturing, data science, and quality organizations to develop and deploy scalable solutions that accelerate technology development and deliver industry-leading results! Position Overview As a Product Integration Engineer on the CPIE team, you will lead initiatives that improve process capability, maximize bits per wafer, and accelerate yield improvement through data-driven innovation. You will partner with cross-functional teams to identify opportunities, develop advanced analytics solutions, and implement improvements that enhance product quality and manufacturing performance. This role offers the opportunity to influence next-generation technologies while delivering measurable business impact across Micron's global manufacturing network. Responsibilities Identify and develop data-driven solutions that improve yield, product quality, and process integration performance Analyze manufacturing, test, and design data to uncover opportunities that increase high-value bits per wafer Develop models to evaluate equipment and process performance and support predictive process optimization initiatives Partner with process, equipment, manufacturing, and data science teams t

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The Role We are seeking a highly skilled and hands-on SoC Floorplan Lead to own the physical foundation of our next-generation AI and Data Center SoCs. In this critical role, you will be the bridge between architecture, logic design, and physical design. You will work hand-in-hand with Chip Architects and RTL Leads to influence micro-architecture and ensure the physical implementation achieves best-in-class Power, Performance, and Area (PPA). If you love solving complex spatial puzzles on advanced technology nodes, integrating sensitive analog components, and driving execution in a high-energy start-up environment, this is the role for you. Key Responsibilities Top-Level Floorplanning: Own the SoC-level floorplan from concept to tape-out for high-performance, large-scale AI/Data Center chips on advanced process nodes (e.g., 5nm, 3nm or below). Architecture & RTL Collaboration: Partner closely with Architecture and RTL teams to provide early physical feasibility feedback. Drive block partitioning, shape optimization, and data-flow planning to achieve the absolute best PPA. Bump & Package Co-Design: Lead bump planning and IO ring definition. Work with packaging teams on flip-chip/advanced packaging constraints, ensuring optimal signal escape and power delivery. Custom & Analog Routing: Manage the placement and custom routing strategies for critical Analog/Mixed-Signal (AMS) IPs, high-speed SerDes (PCIe, Ethernet, Memory interfaces), PLLs, and sensitive clock distributions. Power Delivery Network (PDN): Design and analyze the top-level power grid, ensuring robust power delivery for high-current AI workloads while minimizing IR drop. Pin Assignment & Feedthroughs: Manage macro placement, block-level pin assignments, and top-level feedthrough planning to optimize global timing and routing congestion. Methodology Development: Build and maintain scalable Floorplanning workflows and

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Databricks
📍 San Francisco• $166K – $210.3K/yr
2mo ago

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

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About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to build and scale the assessments and certifications that prove those skills—helping millions worldwide validate what they've learned and signal it to employers. About the role This is an individual contributor role. You will own the design and production of DataCamp's assessment and certification content, working with subject-matter experts and building AI systems that generate, review, and continuously refresh high-quality, defensible questions at scale. Here's what your day-to-day will look like: Own the end-to-end lifecycle for assessment and certification content—from blueprint and item design through review, publication, and ongoing maintenance—and manage deadlines across it. Design psychometrically sound assessments: write and review items, define scoring and passing standards, and safeguard validity, reliability, and fairness. Build and operate AI workflows—prompting, pipelines, and evaluation—that draft, grade, and quality-check items, so content production scales without sacrificing rigor. Source and collaborate with subject-matter experts to keep certifications current with the fast-moving data and AI landscape. Map certifications to the real skills hiring managers screen for, so a DataCamp credential is a credible signal to employers. Benchmark against the wider certification landscape—competing programs, industry standards, and emerging role definitions—and set the strategy for where our certifications go next. Continuously assess certification performance using pass rates, item statistics, and learner and employer feedback to dri

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C
2mo ago

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business. Key Responsibilities: Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and

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Together AI
📍 San Francisco• $200K – $290K/yr
2mo ago

About the Role The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. As a Research Engineer on the Scaling Team within Model Shaping, you will turn cutting-edge research on efficient foundation model training into robust, high-performance systems. You will profile and optimize Together's training infrastructure, identify performance bottlenecks across the stack, and implement state-of-the-art techniques from both the research literature and our own scientists in production environments. Your work will directly shape the fine-tuning experience of Together's customers. You will rapidly bring newly released open-source models onto the Model Shaping platform, ensuring they train efficiently and reliably across diverse customer workloads. Working closely with Research Scientists, you will also build the experimental infrastructure that accelerates research and enables validated ideas to be deployed reliably at scale. Responsibilities Design, implement, and optimize core components of Together's large-scale training infrastructure. Integrate new model architectures, validate training correctness and convergence, and optimize performance for production fine-tuning workloads. Profile distributed training workloads to identify and eliminate bottlenecks across compute, memory, and communication. Design and execute experiments to validate performance hypotheses and benchmark new approaches against state-of-the-art methods. Partner closely with Research Scientists to productionize novel training methods and contribute to publications and o

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replit
📍 India• Full-time
2mo ago

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Replit is experiencing extraordinary demand and seeking an Account Executive with strong communication skills to drive our hyper-growth. Candidates with SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. This full-cycle sales position encompasses new client acquisition. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language. In this role you will: Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC era Serve as the primary point of contact for prospects and customers, guiding them through the buying journey Conduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathons Articulate Replit's value proposition and align it with customers' business objectives Collaborate with product and engineering teams to ensure technical accuracy and successful delivery Prepare tailored quotes and skillfully negotiate deals Maintain accurate customer and forecasting data in Replit’s CRM (Hubspot) Foster strong relationships with existing clients while identifying opportunities for expanded adoption Optimize customers' use of the Replit platform through ongoing collaboration and support Gather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience: Experience in AE or SE/technical sa

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Plaid
📍 San Francisco• Full-time
2mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. We lead complex technical programs that help Plaid scale its engineering platform. We partner across Engineering, Infrastructure, Data, Security, ML, Legal, and Product to deliver company-wide technical initiatives that improve reliability, scalability, and developer productivity. You'll lead strategic technical programs from planning through execution. You'll partner with engineering leaders to align stakeholders, manage dependencies, drive decisions, and ensure successful delivery of complex initiatives. You'll work across a variety of technical domains, adapting quickly to new challenges and helping teams execute effectively. As a Technical Program Manager, you will lead high-impact, cross-functional initiatives. As a generalist, you may work on a variety of programs. An example is one that strengthens Plaid's data and machine learning platforms. You will partner with engineering, product, data, legal, privacy, and business stakeholders to drive complex technical programs from planning through execution. Your work will help improve data governance, modernize machine learning infrastructure, and accelerate the adoption of trusted, high-quality datasets that power analytics, artificial intelligence

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