Machine Operator Integrator Jobs

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products. What You'll Do Own the analytical function for the Discovery Mode ML squad, driving evaluation and continuous improvement of the models that power measurement and campaign optimization Partner with ML engineers to develop evaluation frameworks and identify opportunities to improve model performance, reliability, and customer impact Design and execute rigorous experiments to evaluate model quality, measure outcomes, and guide model development Conduct deep-dive analyses t

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the Team Appian Customer Success is obsessed with delivering exceptional customer outcomes and high-velocity business impact. Our Public Sector team acts as a trusted strategic partner to government agencies and organizations, bringing their most vital ideas to life. By joining this high-performing team, you will strengthen and evolve your technical consulting skills while accelerating the adoption of our AI-Powered Process Automation platform across critical public infrastructure. As a Senior Consultant, you will step into a pivotal leadership role at the intersection of public sector strategy and modern technical innovation. This is your opportunity to move beyond isolated coding tasks and own the end-to-end delivery of highly visible, complex enterprise systems. You will lead small engineering teams, architect robust integrations, and serve as a trusted technical advisor to client stakeholders - enabling enterprise organizations to achieve true Enterprise-Grade Orchestration . What You’ll Do Lead Project Delivery: Oversee and drive the entire project lifecycle to define, design, and implement custom automation solutions using the Appian platform. Mentor & Develop Talent: Actively lead, coach, and mentor junior consultants through fast-paced software implementations, fostering a culture of technical excellence. Architect Integrations: Build seamless data pipelines and robust APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Drive Data Modeling: Design and launch sophisticated relational data

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

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Ready to scale your career at the intersection of law and innovation? Join Okta’s Public Sector and Regulated Offerings Legal Team . As Corporate Counsel, you won’t just be reviewing regulatory requirements—you’ll be a foundational builder of a scalable, global Public Sector practice. In this role, you will provide frontline legal counseling for Okta’s most critical regulated environments, working both independently and alongside senior leadership to navigate the complexities of the U.S. government’s regulatory frameworks. You will partner with business and technology teams to guide the development and implementation of Okta’s Public Sector solutions. Our Public Sector legal team drives the legal strategy for introducing new products and features into regulated environments (e.g., FedRAMP, GovRAMP, DoD CC SRG). In this role, you must use sharp critical thinking to provide pragmatic legal solutions that balance aggressive business objectives with necessary risk mitigation. Finally, you serve as a bridge between legal, engineering, compliance, security, and sales teams to ensure our products meet the rigorous standards of our public sector customers. What You Bring to the Table Comfortable working independently in a fast-paced, remote-friendly environment and can pivot as business goals evolve. A deep understanding of the unique legal and regulatory hurdles associated with U.S. regulated industries, specifically: ○ FedRAMP

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. Job Description As an MTB Test Planner at Micron, you will be responsible for driving planning and operational execution for backend test manufacturing. This includes test capacity planning, production prioritization, WIP management, cycle time monitoring, material readiness tracking, and shipment support to meet customer and business commitments. You will collaborate closely with Global Planning, Tactical Supply Planning (TSP), Manufacturing, Engineering, Quality, Supply Chain, and other cross-functional teams to align supply commitments, manage production capacity, optimize inventory, and support customer demand fulfillment. This role requires strong analytical thinking, problem-solving skills, and the ability to make data-driven decisions in a dynamic manufacturing environment. Strong communication and cross-functional collaboration skills are essential to drive alignment and support business objectives across supply chain and site teams. Responsibilities 1) Production and Supply Planning * Develop and maintain production plans to support customer and business demand requirements. * Monitor production performance, capacity availability, inventory levels, cycle time, yield performance, and operational constraints to ensure supply commitments are met. * Work with cross-functional teams to align priorities and resolve production-related issues impacting shipment commitments. * Support production scheduling and lot prioritization act

How does a company with thousands of people building hundreds of products stay focused on what matters most? That's the question the Company Planning and Execution (CPE) team works on every day. We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale. As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations. You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter. You'll also explore how AI and automation can change the way people access insights and make decisions. You'll work closely with data scientists, engineers, PMs, and business partners across the company to help refine how Spotify executes at scale. If you like making sense of ambiguity, care about how organisations work, and want your analysis to shape real decisions, this is the role. What You'll Do Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences. Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work. Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes. Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring briefings. Explore how AI and automation can make insights faster to produce and easier to access across the company. Who You Are Curious about how organisations work — not just the data, but the decisions and systems behind it. 5+ years of experience with a quantitative background in science, economics, engineering, or a related field. <li

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description As the Community Content Strategist you will build and execute the content strategy that elevates our Okta and Auth0 customer communities into an authoritative destination for identity and security experts. Working closely with the Customer Content, Social Care &amp; Advocacy, and Community Engineer teams, you will turn real-world community expertise and discussions into high-quality content that drives engagement, supports generative search discoverability, and surfaces GTM intelligence across the business. Job Duties and Responsibilities Own content strategy and programming: Identify, cultivate, and publish expert-driven content that elevates community voices and builds trust across the Okta and Auth0 communities. Design and run the content programs (e.g. technical deep-dive series, AMAs and member features) that drive meaningful engagement, establish the community as an authoritative destination, and position our most knowledgeable members and internal experts as credible voices in the identity and security space. Identify and cultivate Community Champions : Ensure C

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the shape of the data that AI learns from and reasons over. You design the data models, schemas, and representations that connect a community’s knowledge to the models, the KO graph, and the COGENT architecture. You work where data architecture meets machine learning: how knowledge is modeled, how features and embeddings are represented, and how data flows from raw sources to the systems that reason over it. You are the person who makes sure the data foundation is coherent, so everything built on top of it, from retrieval to reasoning to models, has something solid and consistent to stand on. Why this role exists AI is only as good as the data it learns from and reasons over. When data models are inconsistent or poorly designed, every system downstream inherits the mess, and trust erodes. Modeling data for collective intelligence is hard: it has to serve models, graphs, retrieval, and reasoning at once, across many communities, without fragmenting. The Senior AI/ML Data Model Architect owns that foundation. You design the data models and representations that keep the platform coherent and let every AI system built on them work well. Wha

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you passionate about data? Are you curious and analytical? Do you thrive on working in a team environment? Freddie Mac’s Multifamily Portfolio and Risk Management team needs creative, forward-thinking individuals like you! We are seeking a Quantitative Analytics Professional who will be responsible for engaging the key Multifamily business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in Multifamily business. Our Impact: We are the owners and developers of all major Multifamily credit, market risk and business decision models/tools. Our goal is to develop and apply all quantitative models and advanced data science tools to facilitate Multifamily risk management and optimize portfolio strategies. Our team is also responsible for Multifamily data analytics, regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamical market environment. Your Impact: Lead efforts on data strategy, analytical tool design, and uses of Multifamily models; provide thoughtful inputs on development of Multifamily data, advanced analytics, and model assumptions/methodology. Lead best practices and improvement of Multifamily data management and analytical products to ensure adherence to industry standards and regulatory compliances. Collaborate with cross-functional teams to impl

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

NVIDIA's DGX Cloud (DGXC) powers AI for strategic research and product workloads. The company seeks a Senior Technical Program Manager (TPM) to lead complex, cross-functional programs powering NVIDIA’s next-generation AI software platforms. In this role, you will drive software initiatives across platform services, cloud infrastructure, and system integration. The focus is on enabling scalable, reliable, and supportable software for AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely, high-quality delivery. This role requires strong technical competence, a proactive approach, and the ability to operate effectively across multiple levels of the organization. This is a software-first TPM role. The ideal candidate has extensive experience managing software initiatives. They also understand the full-stack environment, including infrastructure dependencies, system bring-up, integration readiness, and operational needs to support software across stack layers. What You'll Be Doing: Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization. Work together with software, infrastructure, product, and operations teams to ensure alignment on goals, deliverables, achievements, and schedules. Lead cross-functional initiatives encompassing cloud-native services, platform software, system integration, and release delivery. Help connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, bring-up, validation, and downstream operational support. Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues. Establish clear success metrics and reporting mechanis

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. The Thin Films Equipment Engineering team at Micron develops and enhances advanced semiconductor manufacturing equipment in a fast-paced research and development environment. The team works closely with Process Engineering, Facilities Engineering, and equipment suppliers to enable next-generation memory technologies and achieve world-class equipment performance. Through innovation, collaboration, and data-driven decision-making, the team plays a critical role in advancing semiconductor technology development. As a Thin Films Equipment Engineering Intern, you will gain hands-on experience working with groundbreaking semiconductor equipment and processes. You will support engineering projects focused on equipment optimization, data analysis, and technology development while collaborating with multi-functional teams. This role provides exposure to semiconductor manufacturing, experimental design, and the application of advanced analytics to solve complex engineering challenges. Responsibilities Collect, analyze, and interpret equipment and process data to find opportunities for performance optimization and continuous improvement. Support structured engineering experiments, document findings, and communicate results through technical reports and presentations. Collaborate with Equipment Engineering, Process Engineering, Facilities Engineering, and equipment suppliers to address technology-development challenges and improve equipment performance. Develop an understanding of equipment hardware,

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. As a Staff SSD Validation Engineer at Micron Technology, Inc., you will be responsible for defining and driving comprehensive validation strategies for Micron NAND-based SSD systems and solutions. You will lead development of test plans, test cases, and automation frameworks to validate SSD firmware across functional, system-level, performance, reliability, interoperability, and customer qualification domains. You will serve as a technical leader, driving validation excellence, automation, and innovation while collaborating closely with firmware, hardware, systems, product engineering, and hyperscale customers throughout the product lifecycle. The ideal candidate will possess deep expertise in NVMe/PCIe technologies, SSD architecture, customer qualification requirements, and automated validation methodologies. This role also requires a strong focus on leveraging Artificial Intelligence (AI) and advanced automation technologies to improve validation productivity, product quality, and time-to-market. Key Responsibilities Define validation strategies, test plans, test cases, and automation frameworks for SSD firmware validation. Develop and maintain automated test solutions covering functional, system, performance, reliability, interoperability, and customer qualification requirements. Lead validation efforts across all phases of the product lifecycle, including development, qualification, customer enablement, and sustaining activities. Demonstrate strong under

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 looking for a detail-oriented and responsible AIoT Engineer with curiosity and innovative thinking in AI technologies. This role will focus on factory utility equipment maintenance scenarios, responsible for designing and implementing enterprise-level AI model management processes, from requirement analysis to deployment, building sustainable smart maintenance solutions that help facility engineers improve equipment reliability, reduce energy consumption, and prevent anomalies. Responsibilities Collaborate with cross-functional teams to transform data science outcomes into practical intelligent services. Design and train machine learning/deep learning models, ensuring performance and interpretability. Develop model service APIs to support system integration and real-time applications. Introduce and establish model management and deployment processes (MLOps) to ensure stable operation and regular updates. Stay updated with the latest AI technologies, write technical documentation, and promote internal knowledge sharing. Key Qualifications Master’s degree or above in Computer Science, Statistics, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or related fields. At least 2 years of experience in data science or machine learning. Skilled in Python and ML/DL frameworks (scikit-learn, PyTorch, or TensorFlow). Experience

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 platform secures more than 100 million logins each day for customers all around the world. The Platform Infrastructure team enables Auth0 engineers to move faster by giving them tools to easily deploy and manage their services on AWS and Azure. This is a role within a team that has a huge impact. You will get to work with engineers throughout the organization and what you build will be a cutting-edge, foundational piece of the infrastructure that allows Auth0 to scale for years to come. We are looking for Engineers who are passionate about distributed systems, performance and scaling, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about infrastructure, operations, and not intimidated by cross-organization coordination and collaboration. You will: Develop and maintain a scalable platform runtime using infrastructure-as-code, enabling teams to seamlessly deploy and manage services across Kubernetes, AWS, and Azure. Tackle highly ambiguous requirements to architect scalable, resilient infrastructure solutions for cross-cutting concerns (e.g., service discovery, routing), while setting platform best practices. Proactively identify performance bottlenecks and advocate for new technologies to optimize platform resiliency, scale, and cost. Use observability tools like DataDog and Prometheus to design SLIs and enforce platform SLOs. Design secure-by-defa