Production Line Management Engineer Jobs

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 Micron’s vision is to transform how the world uses information to enrich life for all. Join an inclusive team in the relentless pursuit of innovation for our customers and partners. Together we are building solutions that help make possible everything from virtual reality experiences to breakthroughs in neural networks, all while committing to integrity, sustainability, and giving back to our communities! As a Senior Equipment Maintenance Technician at Micron Technology in Manassas, Virginia, you are responsible for monitoring, sustaining, and improving the equipment and/or processes in the assigned area, while working in partnership with production team members and area engineers. Shift Technicians monitor tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to tackle and repair equipment issues. Responsibilities: Assisting with equipment installs, tests Creating and modifying equipment procedures Improve tool uptime by performing detailed solving and repairs. Ensure quality workmanship. Record all maintenance carefully in designated check sheets and tracking programs. Regularly review maintenance sheets and procedures. Monitoring, analyzing, and addressing SPC issues for area processes daily and respond to SPC out of control issues Keeping the Lead Tech and/or Lead Engineer updated on tool and area issues Minimum Qualifications: Experie

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other! What You’ll Work On You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems. You don’t need experience in every area listed below. A background in a few may make you a great fit! Recommendations, search, content understanding, or large-scale data and ML infrastructure SOTA large scale RecSys Foundational retriever models RAG systems, retrieval methods, LLM evaluation, or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Job Title Physicist Job Description We are looking for a Physicist to join our Computed Tomography (CT) R&D team in Haifa, part of the DMS organization. In this role, you will contribute to the research, development, optimization, and validation of next‑generation detector technologies that power advanced CT systems. This position offers the opportunity to work at the intersection of physics, engineering, and medical imaging driving innovation that directly impacts product performance and patient outcomes. Your role: Be actively involved in the development and evaluation of CT detector concepts and components. Model and characterize key detector performance parameters, including spatial resolution, noise, dynamic range, spectral response, stability, and dose efficiency. Collaborate with system image quality teams in shaping and designing image correction algorithms. Design and execute experiments to assess detector behavior under laboratory and system-level operating conditions. Analyze imaging data and detector signals using quantitative methods to identify performance limitations and improvement opportunities. Collaborate with hardware, electronics, software, reconstruction, systems, and manufacturing teams to translate physics requirements into technical specifications. Support prototype integration, verification testing, root-cause analysis, and performance troubleshooting. Support Service and Production detection related investigations. Develop test methods, technical reports, verification protocols, and documentation for internal and regulatory use. Stay current with scientific literature, emerging detector technologies, and industry trends. You're the right fit if: MSC or PhD in Physics, with a strong advantage for experimental Physics. Hands on experimen

JOB DESCRIPTION: Program Highlights Abbott’s 3-year accelerated development program that builds broad Operations experience through three rotational assignments. Upon completing the program, OPDP members transition into full-time roles and continue building their careers at Abbott, leveraging the skills, experience, and network gained through the program. Program Overview Over the course of the 3-year program, OPDP members complete three key developmental experiences designed to accelerate learning and career growth. PDP members rotate through three assignments across different divisions or functional areas, including Technical, Supervisory, and Operations Excellence roles. Rotation opportunities may include Engineering, Materials Management, Project Management, Plant Quality and Operational Excellence, providing broad exposure to manufacturing and operations. Program Rotation Model Three 12-month assignments across different divisions and/or functional areas. Gain diverse experiences with each assignment led by a different Assignment Manager. Complete the program with an international assignment in the final year, graduating the program in June 2030 for those starting in July 2027. Requirement Bachelor’s degree/master’s in engineering or related disciplines (Only for graduates of 2025 to 2027 only) Interest in pursuing a career in Operations – Engineering, Manufacturing Production, Plant Quality, Supply Chain, etc. Track record of outstanding academic performance and co-curricular activiti

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our 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. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our 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. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our 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. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively. What you'll do: Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions. Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery. Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time. Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and saf

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our 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. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Product Engineering at Decagon builds all aspects of the platform our customers use to create, operate, and improve their AI agents. We turn work that currently requires an engineer into product that a CX team can run themselves. This team is core to how Decagon scales. The frameworks we build support every agent we have in production, each with its own workflows, data, and constraints. We build the agents too, and that’s what keeps the platform honest: a failure mode we debug in production becomes a guardrail, an eval, or a piece of tooling that catches it everywhere. Our agents run for companies like Hertz, American Airlines, and Notion across chat, voice, email, and SMS. About the Role You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer. You’ll work day to day with prod

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the Role Sentry helps developers identify and resolve issues in their applications. Behind our products is a complex foundation of distributed systems, cloud infrastructure, and services that must perform reliably at scale. Our Platform and Infrastructure Engineering teams build and operate the systems that power Sentry. From cloud infrastructure, distributed storage, and real-time event processing to service reliability, scalability, and developer productivity, these teams provide the technical foundation that enables our products and engineering organization to grow. We're looking for Staff Software Engineers to tackle some of Sentry's most challenging infrastructure and distributed systems problems. Depending on your experience and interests, you might work on scaling our real-time event processing systems, improving the reliability and efficiency of our cloud infrastructure, or designing and building foundational services that support our products. In this role, you'll have the autonomy to identify important technical problems, lead solutions from design through production, and influence engineering decisions beyond your immediate team. We're looking for engineers who enjoy solving difficult problems, remain hands-on with the systems they build, and take pride in delivering meaningful technical impact. In This Role, You Will Design, build, and operate reliable, scalable distributed systems that support Sentry's products and engineering teams. Own technically complex projects from identifying problems and defining solutions through implementation, deployment, and production operations. Solve challenging engineering

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Financial Crime Compliance (FCC) team is looking for a senior investigator ready to shift from running cases to scaling the systems that run cases. You've built real depth in TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews; you know what a good escalation looks like, where analysts get stuck, and where automation actually holds up in production versus just looks good in a demo. In this role, you'll spend most of your time partnering with Engineering and the Head of FCC Tooling to turn that judgment into scaled AI systems: testing model outputs, labeling and calibrating results, and making sure every automated decision point is well-documented and properly governed. You'll stay close enough to FCC's day-to-day workflows and will partake in some of them, but this is fundamentally a builder role. What You'll Do Partner directly with Engineering and the Head of FCC Tooling on automation experimentation and AI initiatives across TM, sanctions, complex fraud, and EDD, moving prototypes from one-off calibration exercises

SENIOR EDITOR Location: Toronto, ON Work Model: Hybrid | Minimum 2 days in-office per week (Tuesday + Thursday) COMPANY OVERVIEW The Kitchen brings together a range of disciplines and capabilities. It’s a team of creatives, producers, data analysts and social experts working together to deliver remarkable ideas that live in a variety of mediums, from everything from social to TV. This team moves at the speed of culture. It is built to respond to trends and events as they happen, coming up with ideas that transcend social media to capture the spirit of the moment, earn media impressions, and get the country talking. Are you ready to join an award-ambitious team that's making waves in the advertising industry? Our incredible team has been recognized internationally by industry giants like Cannes, One Show and was named Campaign's Global ‘In-House Agency of The Year’, further solidifying our position as a leader in the industry. Join us and be a part of something truly special - a team that's dedicated to creating ground-breaking work and pushing limits. At The Kitchen, we're not just looking for individuals who want to be a part of the advertising industry - we're looking for trailblazers who are ready to lead the way to the next big thing! We want individuals who are passionate about producing award-winning work and have an innate drive to their craft and are eager to generate innovative ideas both within and outside of the brief. THE ROLE We’re looking for an experienced, well-rounded Senior Editor to join our Production team in Toronto and play an important role in our growing in-house post-production capability. Reporting directly to the Executive Producer, Production , you’ll work closely with a robust team of Producers across Toronto and Chicago, as well as our Creative, Account and broader agency teams and, from time to time, directly with our brand partners. Our work lives primarily within the food, beverage and food-adjacent space and spans everything

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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on — and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments. As a Senior Analytics Engineer, you’ll also act as an applied data science partner. In addition to core analytics engineering, you’ll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team. As a Senior Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid's Marketing data stack. You will build the dbt models, predictive frameworks, and self-serve data products that Marketing leadership uses to plan spend, measure performance, and drive growth. You'll partner directly with PMM, Growth Marketing, and Marketing leadership to deliver core data models, frameworks, and tools — including LTV, lead scoring, and experimentation tooling — with a north star that aims for prescriptive and production-grade analytics. You'll also help build the

About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. This team is for people who are energized by ambiguity, intellectually curious, and excited to build something enduring from the beginning. About the Role As Content Studio Creative Lead, you will build and lead a centralized content studio that serves the broader creative team. You will be both a senior maker and a capability builder: creating timely, high-quality content while shaping the studio’s creative approach, talent network, and quality standards, in partnership with Production on the processes that support the work at scale. We’re looking for someone who can move fluidly between hands-on content creation and creative systems thinking. You will work closely with leaders, researchers, creative teams, and external partners to capture stories at the source and turn them into compelling work for web, social, and the broader OpenAI brand. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel for production may be required. In this role, you will: Define the content studio’s creative vision, creative strategy, and measures of quality and effectiveness, and partner with Production on production workflows. Identify