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. Responsible for partnering with finance, IT and the broader organization to centralize forecasting and accounting processes and reporting utilizing various finance applications. Act as central support and subject matter expert, provide guidance to team members, document and implement solutions that improve and streamline our business processes bringing value to the organization. Utilize understanding of finance processes to develop application governance, strategy and vision. Use end to end systems thinking to design, document and implement solutions to meet strategic and operational goals. Partner with end users to author business requirements and communicate those requirements to IT. Coordinate and lead functional and user acceptance testing and capture signoff. Support tool adoption by leading education sessions and training end users. Provide in-depth, domain specific analysis of technical problems or issues, research and recommend alternative actions for problem resolution. Support end users with production issues and enable end user self-sufficiency in the application. Collaborate with IT to perform system integrations and provide ongoing business support. Employer will accept a Bachelor’s degree in Finance, Business Administration, Information Systems, or related field. Position requires: 1. Finance process and standard methodologies, such as budgeting, variance analysis and driver-based planning. 2. Utilizing database design, development, and administration to analyze user requirements and develop logical system solutions

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. 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 steadfast 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. As an OCT Modeling Engineer, you serve as the primary contact for the manufacturing network. You assess and report the capital impact of process changes to senior leaders in Manufacturing and R&D. You will be responsible for connecting many parts of the business in order to drive the execution of manufacturing and cost saving processes, including supply change, finance, engineering, procurement, production and planning. Innovation is highly valued at Micron, and you will have the opportunity to leverage on Artificial Intelligence to develop new tools to expedite, optimize and refine the planning and reporting processed used across the network. The ability to understand and effectively communicate the capita and operational impacts of manufacturing changes is crucial. Care

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for an Engineering Manager to lead the Billing team at Supabase. Billing owns the monetization and revenue systems that turn platform usage into accurate customer charges and finance-ready revenue data. The team’s scope includes plans, subscriptions, usage-based billing, invoices, payments, credits, coupons, taxation, dunning, collections, pricing mechanics, entitlements, marketplace and partner billing paths, and integrations with providers such as Stripe and Orb. Billing sits at the intersection of engineering, product, finance, data, support, and partnerships. The systems are revenue-critical and trust-critical: they must remain correct, predictable, supportable, observable, and extensible as Supabase grows and introduces new products, pricing models, and partner channels. This is a people, delivery, and technical leadership role. We don’t expect managers to contribute production code directly, but we do expect you to participate in architecture and design discussions, challenge plans with sound technical reasoning, and set a high bar for correctness, reliability, and operational maturity. What You'll Be Responsible For Team & People Build a healthy, high-trust team culture in a remote-first, globally distributed environment. Run 1:1s, performance management, career development, and onboarding for your direct reports. Coach engineers working across backend application code, data pipelines, external integrations, and operational workflows. Build durable ownership across the team so critical billing knowledge, access, and incident response do not depend on one person. Handle people administration, including leave and time off, for your team. Hiring Own the hiri

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. We are the Data team within Plaid’s Fraud organization. We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens. Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners. As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments. You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion. You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features. Responsibilities: Work at the intersection of product analytics, machine learning, and fraud a

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 We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, s

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 of 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 — one of the company's largest areas of spend. As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You'll set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on. This is a hands-on leadership role and will be onsite 5 days a week: we expect you to stay close enough to the systems to review designs, make sound architectural calls, and step into an incident when the team needs you — while spending most of your time on people, priorities, and cross-organizational alignment. The team's work spans three overlapping areas, and you'll be responsible for balancing investment across them as business priorities shift: Data platform — Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Consumers range from research engineers to finance to leadership, s

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - Cloud Streaming Game Services (Contractor) Aliso Viejo, CA As a part of Sony Interactive Entertainment, the Game Development & Future Technology (GDFT) organization is leading the cloud gaming and development revolution, putting console-quality video games on any device! As a Senior Software Engineer on the Cloud Streaming Game Services (CSGS) team, you’ll play a key role in the design and development of server-side applications on a large geographically distributed infrastructure. Responsibilities Design, develop, and maintain software powering the globally distributed PlayStation Cloud Streaming infrastructure Build Kubernetes controllers, operators, and system services powering infrastructure lifecycle management and orchestration Own features from design through implementation, testing, deployment, and production support Develop high-quality, maintainable code with comprehensive unit and integration testing Partner with SRE, Test and Platform Engineering to deliver reliable production services Investigate and resolve production issues with a focus on reliability and performance Contribute to architecture discussions, technical design documents, and engineering standards Effectively communicate technical approaches, project status

About the Team DoorDash’s centralized, global TPM organization helps Engineering deliver the company’s most complex and consequential technical, product, and business transformations. The team spans DoorDash, Wolt, and Deliveroo and partners across a global Engineering organization of approximately 4,000 engineers. We have intentionally built a lean, high-leverage TPM organization with a high bar for technical depth, business judgment, and independent domain ownership. Our leaders stay close to the business and technical work, lead through strong senior IC TPMs, and shape the operating mechanisms that allow complex organizations to execute at speed. This Director will lead 12 TPMs (one-quarter of the global TPM organization) and report directly to the VP of Engineering Operations. Their team supports nearly 1,300 engineers across five strategically important organizations: Dasher & Logistics, Ads & Promotions, Merchant, DashOS, and Platform Services. About the Role As Director of Technical Program Management, you will lead a high-performing team of TPMs embedded across some of DoorDash’s most important and technically complex businesses. Your portfolio spans the real-time fulfillment network that powers every delivery, a multi-billion dollar ads revenue platform, DoorDash’s merchant ecosystem and in-store technology, and platforms that enable merchants and other businesses to access our logistics network through offerings such as Drive and Parcels. You will partner closely with a VP and four Senior Directors to set direction, strengthen execution, develop TPM talent, and solve the cross-organizational challenges that sit between teams, systems, and business priorities. You will also play a central role in Pedregal, DoorDash’s multi-year global platform re-architecture across DoorDash, Wolt, and Deliveroo while maintaining production availability and continuing to build for each business’ evolving requirements. We believe the future of TPM leadership is defin

About Us: Comfrt is one of the fastest-growing apparel brands in the world, built around creating products that help people feel their best. Our creative team produces hundreds of ads every month across Meta, TikTok, Google, and other paid channels, constantly testing new ideas, concepts, and creative formats. We're looking for someone who loves creating content that doesn't just look great—it performs. If you're the type of creative who enjoys analyzing why an ad worked, iterating quickly, and producing static assets, GIFs, and graphics that drive results, this is the role for you. About the Job: We're hiring a Graphic Designer to join our internal creative team. This role blends creative innovation with performance marketing. You'll work closely with Creative Performance Strategists, Paid Media Buyers, Designers, and Creative and Brand Marketing teams to develop high-converting ads across multiple platforms. You'll design static image ads, carousels, GIFs, gamified end cards, and other graphic assets for product launches and ongoing campaigns. This is a fast-paced environment where speed, curiosity, and creative problem solving matter just as much as technical skill. Responsibilities: Design static image ads, carousels, GIFs, thumbnails, and other creative assets. Create multiple creative variations from existing concepts to support rapid testing. Work closely with Creative Performance Strategists to translate performance insights into new creative. Maintain consistent branding while adapting creative for different audiences and placements. Collaborate with project managers to hit aggressive production timelines. Organize project files and maintain efficient creative workflows. Stay current on advertising trends, design styles, and social media creative best practices. Locate, source, and identify strong visuals in large asset libraries. Qualifications: 2+ years of professional experience editing video and designing digital creative in DTC ecommerce or performance

About Us: Comfrt is one of the fastest-growing apparel brands in the world, built around creating products that help people feel their best. Our creative team produces hundreds of ads every month across Meta, TikTok, Google, and other paid channels, constantly testing new ideas, concepts, and creative formats. We're looking for someone who loves creating content that doesn't just look great—it performs. If you're the type of creative who enjoys analyzing why an ad worked, iterating quickly, and producing both videos and static assets that drive results, this is the role for you. About the Job: We're hiring a Video Editor & Graphic Designer to join our internal creative team. This role blends creative innovation with performance marketing. You'll work closely with Creative Performance Strategists, Paid Media Buyers, Designers, and Creative and Marketing teams to develop high-converting ads across multiple platforms. One day you might be editing a UGC-style video for Meta, and the next you're designing static image ads, carousels, GIFs, gamified end cards, or motion graphics for a new product launch. This is a fast-paced environment where speed, curiosity, and creative problem solving matter just as much as technical skill. Responsibilities: Edit short-form performance marketing videos for Meta, TikTok, YouTube, and other paid social platforms. Design static image ads, carousels, GIFs, thumbnails, and other creative assets. Create multiple creative variations from existing concepts to support rapid testing. Work closely with Creative Performance Strategists to translate performance insights into new creative. Help develop new advertising concepts from idea through final execution. Maintain consistent branding while adapting creative for different audiences and placements. Collaborate with producers and project managers to hit aggressive production timelines. Organize project files and maintain efficient creative workflows. Stay current on advertising trends, editi

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the role We are looking for a collaborative Staff Technical Program Manager, Engineering Onboarding to build an AI-first onboarding experience that helps new engineers become confident, effective builders. You will create the technical learning, practical support, and community that enable engineers to understand Affirm’s systems, ship, and grow their impact. What you’ll do You will own the design and delivery of Engineering onboarding, creating a welcoming, technically credible experience for new engineers across North America and EMEA. You will lead hands-on learning experiences at our San Francisco office, complemented by virtual and regional programming that helps engineers build relationships, context, and practical fluency. You will partner with Engineering leaders and subject-matter experts across Developer Productivity, SRE, Security, Architecture, and Product teams to build and maintain useful technical onboarding content. You will translate Affirm’s AI-first engineering practices into practical learning experiences, including agent-assisted development, code review, testing, CI, deployment, observability, and production support. You will work with managers and buddies to create clear, role-relevant onboarding plans that help new engineers establish context, connect with their teams, and begin contributing effectively. You will coordinate with Recruiting, Learning, People Ops, IT, Facilities, Finance, and regional partners to ensure each cohort has the access, equipment, environment, and support needed for a strong start. You will gather feedback from new hires, managers, and facilitators, then use it to continuously improve the content, operations, and experience of Engineering onboarding. What we look for You have 2–4 years of experience as a technical leader

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Senior Software Engineer for Lithic’s Card Authorization team, which owns the real-time systems that make every card authorization decision correct, reliable, and fast. The team also owns related fraud tooling, including Lithic’s Rules Engine and 3D Secure integration. You’ll own high-impact projects end-to-end, solve distributed-systems problems at scale, and help build the tools customers use to control fraud and payment risk. What you'll do: Write reliable, secure, scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt Build customer-facing features, such as rules improvements, velocity controls, 3DS flows, fraud tooling, and transaction monitoring. Own projects from planning to launch. Improve the reliability of systems in team’s scope and participate in the team on-call rotation Lead efforts to improve systems and processes within the team What you'll bring: 4+ years building production backend systems. Full stack experience is a plus. Experie

About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io . About the Team/Role: This is intended to be an entry level role for new grads/early career professionals. As an Associate Field Engineer, you'll work amongst our Customer Success and Solutions Engineering teams, building deep technical expertise and tooling to directly impact the core product and customer experience. You'll engage with technical stakeholders across the customer lifecycle, from helping prospects understand how Pinecone fits their architecture to guiding existing customers through implementation, optimization, and expansion. You'll collaborate closely with Sales, Product, and Engineering to scope solutions, troubleshoot complex issues, and surface customer insights that shape our product direction. Technical fluency, strong communication, intellectual curiosity, and an AI-first mindset are essential for this role. Responsibilities: Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value. Deeply understand customer architectures, use cases, and requirements to influence our roadmap and devise solutions that unblock and advance their goals. Build resources to monitor customer health, proactively identifying opportunities to address risk and drive expansion. Troubleshoot issues and deliver high-quality technical support, developing a strong command of Pinecone's product and the broader AI/ML ecosystem. Build processes and capture knowledge to scale and automate support, success, and outreach initiatives. Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et