Machine Operator Integrator Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Every day, millions of riders and drivers depend on Lyft to get where they're going. When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. How fast and how well we resolve those moments shapes whether people keep choosing Lyft. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. Our goal is to make getting help feel effortless. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences. We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high, to improving the backend services underneath them. You'll bring strong engineering instincts, genuine curiosity about applied AI, and a willingness to work through ambiguity in a space that changes month to month. Responsibilities: Write well-crafted, well-tested, readable, and maintainable code Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences Independently lead tasks fro

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. Okta is seeking a Staff Application Developer – People Technology to join our Business Solutions Team. In this critical role, you will partner closely with the People Technology leadership and play a key role in our Workday transformation efforts. As part of a cross-functional team, you will collaborate with stakeholders across People, Payroll, IT, Finance, and international offices to optimize and scale our HR systems and processes. This role is ideal for someone who is passionate about solving complex business challenges, driving innovation through automation, and delivering a best-in-class user experience. Job Duties and Responsibilities Key Responsibilities Own the end-to-end architecture and technical design of Workday Extend applications, integrations, and supporting technology solutions. Define scalable, secure, resilient, and maintainable application architecture, integration architecture, data flows, API strategies, and technical standards . Architect and lead the development of complex Workday Extend applications using TypeScript/JavaScript, Workday APIs, and Extend frameworks. Architect enterprise Workday integrations using Workday Studio, EIB, Core Connectors, RaaS, REST APIs, SOAP Web Services, and Workday Web Services . Evaluate business requirements and determine the appropriate solution across Workday configuration, Extend, integrations, APIs, AI, cloud services, and third-party platforms . Establish architectural patterns and reusable

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey, from discovery and solution design to proof-of-concept delivery and technical validation. This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems. You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers. What You’ll Be Doing Partnering with Sales to lead the technical pre-sales process from discovery to close Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs) Deploying and configuring environments in cloud or on-prem setups for customer evaluations Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing Troubleshooting customer challenges and guiding them toward successful outcomes Delivering engaging technical presentations to customers, partners, and events Supporting conferences and showcases globally, including international travel, to deliver compelling technical demonstrations Sharing knowledge internally and helping Sales stay up to date as our platform evolves Who We’re Looking For: Previous experience working in a customer-facing technical role (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar) Hands-on programming ability - ideally Python/JavaScript Comfortable working with APIs (REST an

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role As a Senior Full-Stack Engineer in the Machine Learning department, you will help build and scale product capabilities focused on AI-enabled experiences, experimentation, and optimization. This is a full-stack role for an engineer who is comfortable owning work across the stack while spending most of their time on backend development. You will contribute to initiatives related to personalization, intake experiences, and AI-powered product improvements, while partnering closely with adjacent teams to deliver practical, production-ready solutions. This role is a strong fit for someone who enjoys combining traditional software engineering with modern AI workflows and wants to work on systems that evolve through real-world usage and iteration. What You’ll Do Build backend-heavy full-stack solutions that support Javelin team initiatives Contribute to frontend development as needed to deliver end-to-end product functionality Work on LLM- and AI agent-related application features and integrations Help support and extend self-optimization capabilities connected to the intake bot and related workflows Collaborate with cross-functional partners and adjacent engineering teams on shared initiatives Practice specification-driven engineering, translating requirements into clear, well-scoped specs before and during implementation Write maintainable, production-quality code and contribute to st

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Global Capacity Manager focused on TPUs at Baseten, you will lead the "engine room" for our non-NVIDIA accelerator fleet, architecting, securing, and optimizing the Google Cloud TPU (and broader emerging accelerator) capacity that powers our customers' AI workloads. You'll own the end-to-end journey of capacity management for this fleet, from securing large-scale TPU pod allocations to building the automation that ensures reliable uptime across multi-cloud environments. This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering, with a specific focus on the TPU ecosystem. You will act as the fleet orchestrator for Google's TPU architecture, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics as we diversify beyond NVIDIA. To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes orchestration while also leading specialized pods focused on the latest generation of TPU hardware, like Google's Trillium (v6e) architecture, and partnering closely with the Model Performance (MP) team to ensure workloads are tuned for TPU-specific execution. EXAMPLE INITIATIVES The TPU Frontier: Architecting the infrastructure readiness and deployment strategy for Baseten's TPU clusters, including pod slicing and topology planning Global Workload Orchestration: Bui

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. Company Description Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers. Position Description We are seeking an experienced Full Stack Senior Software Engineer to play a key role in building and scaling the Okta Recovery Vault (ORV). This team is responsible for Okta's enterprise-grade soft-delete and object recovery capability, designed to protect critical identity objects (Users and Groups) from accidental or malicious deletion. As a Senior Engineer, you will own the technical design, implementation, and operational reliability of critical components within our real-time, high-fidelity recovery system — spanning backend services and the admin-facing UI that customers use to review and restore their data. You will solve complex engineering problems around identity preservation (UUIDs) and relationship restoration—including group memberships, app assignments,

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities and Tasks Product Quality (PQ) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes. Agentic AI and LLM Development: Contribute to the design and implementation of multi-agent systems for PQ workflows, including code generation, automated troubleshooting, and process optimization. Work with retrieval-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM-based applications. Assist in implementing tool-using capabilities, function calling, and agent memory systems. Software Engineering and Productionalization: Develop maintainable code and analytical pipelines suitable for high-volume manufacturing environments. Optimize for performance, latency, and token efficiency. Collaborate with senior team members on testing, deployment, and monitoring. Communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders Integ

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Senior Full-Stack AI Engineer, IPAI, SMAI Job Summary Join Micron's AI Revolution in Smart Manufacturing Be part of a groundbreaking transformation as Micron accelerates the future of AI-driven manufacturing. As a Senior Full-Stack AI Engineer , you will architect, build, and deploy cutting-edge AI applications that power smarter, faster, and more autonomous operations across Micron's global network of semiconductor fabs and assembly/test facilities. Working at the intersection of Artificial Intelligence, Software Engineering, and Advanced Manufacturing , you will collaborate with data scientists, engineers, and business stakeholders to develop scalable machine learning solutions, modern web applications, APIs, and intelligent automation platforms. Your work will directly influence how the world's most advanced memory and storage products are manufactured, driving efficiency, quality, and innovation at a global scale. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Architect and develop scalable full-stack AI applications usin

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Key Responsibilities Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and

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. Senior Software Engineer, Device Identity 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. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android. Our organization is comprised of engineers who thrive at the intersectio

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 Enterprise Technology Team The Enterprise Technology team builds and delivers the secure, scalable systems that power how our business runs. Our People Technology Team sits at the heart of this work, overseeing the full Hire-to-Retire technical ecosystem—including core applications like Workday, Greenhouse, and Cornerstone—and ensuring these platforms evolve alongside the company's growth. We partner closely with HR, Talent Acquisition, Talent Management, and Business Operations to bring data-driven, compliant, and innovative solutions to life. The Opportunity Reporting to the Director of People Technology, this role will serve as the Product Manager for Okta's People Technology portfolio, focused on Employee Growth & Talent. You will act as the strategic bridge between global People leaders and delivery teams. You will translate strategic product visions into high-velocity execution — shaping the what and why in partnership with Digital Solutions and People leadership, and partnering with the Delivery Lead on the how and when — while navigating complex enterprise workflows across Talent Acquisition (Greenhouse), Learning & Development (Cornerstone), Talent Management (Workday), and AI-driven automation. What You'll Do Product Strategy & Roadmap Leadership: Define the multi-year product vision and strategy for the Growth & Talent domain in close collaboration with functional and technical leadership. Translate that strategy into a priori

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. The Role We are seeking a talented and commercially astute Data Scientist to join our dynamic team tackling Fraud, Payments and Finance. In this multi-focus role, you will be responsible for protecting our global e-commerce operations from fraud, optimising our payments performance and driving profitability and automation initiatives within Finance. Working with vast, complex datasets, the work will involve combatting online fraud using our award-winning THG Detect platform and driving payments optimisation by increasing authorisation rates, while also using the latest AI software and Google Cloud Platform (GCP) infrastructure to build complex data solutions and applications. This role requires a blend of strong technical skills, commercial acumen, and effective communication to translate complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive Profitability within Finance: Lead automation and profitability initiatives across different areas of Finance. Communicate Performance: Report on all aspects of fraud, payments and finance performance to stakeholders at all levels, including C-level management. Drive System Improvements: Collaborate with Fraud, Payments, F

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Words With Friends Instant is seeking a Principal Data Analyst to be the analytics owner for the game: the person product, design, and engineering come to for data on player behavior, feature health, experimentation, and game strategy. As part of our analytics team, you'll play a crucial role in shaping the future of our game through data-driven insights. Here's how you'll shape the player experience: Product Strategy: Analyze long and short-term trends to deliver insights that influence product direction Experimentation: Design statistically sound experiments that drive measurable impact Business Intelligence: Maintain comprehensive dashboards and ETL pipelines to keep the organization informed on game performance What You'll Do : Collaborate with the Product team to enhance revenue, retentio