Production Scheduler Enhancement Engineer Jobs

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 Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself

Our Mission: Fly to space twice in a day. At Dawn Aerospace, we are building the Aurora, a reusable rocket-powered spaceplane designed to make access to space as routine as aviation. To support this mission Dawn is looking for an Avionics Technician to join our Avionics Team. This is a hands-on role focused on building, integrating, and supporting the avionics systems that power the Mk-II Aurora spaceplane. You will work closely with avionics engineers, manufacturing teams, and suppliers to deliver high-quality aircraft systems as we transition the Mk-II Aurora from a research and development platform into a repeatable production aircraft. You will take ownership of electrical harness manufacture, supply chain coordination, and helping establish the processes and standards that will support future aircraft production. If you want a narrow, heavily structured role, this is probably not for you. We are looking for someone practical, organised, and capable of taking ownership in a fast-moving environment. What you'll do Build, install, and test flight-ready electrical harnesses, including manufacture, lacing, termination, labelling, inspection, routing, continuity testing, fault finding, and verification. Support the transition from development to production by improving documentation, work instructions, tooling, and production workflows. Integrate avionics systems into aircraft, including flight computers, sensors, radios, antennas, and supporting electronics. Configure and verify aircraft electrical systems, and support system-level testing during integration. Manage harness and avionics supply chains, including sourcing, bills of materials, procurement, inventory, supplier engagement, harness kits, and production stock. Create and maintain design data including electrical schematics, BOMs,

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role: Senior Technical Support Specialist (Enterprise Agentic AI) Company: Ema Unlimited Inc. Location: London Employment Type: Full-time/Remote 1. About Ema (Why Ema) Ema is building the world’s first Universal AI Employee — a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations. Ema’s customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows. In this world, support is not reactive . Support is production reliability, trust preservation, and system learning . At Ema, Senior Technical Support Specialists are operators of live AI systems , not ticket handlers. 2. Role Overview The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema’s deployed agentic AI systems in production. This role sits at the intersection of: AI behavior Workflow orchestration Enterprise integrations Customer trust Engineering feedback loops This is: ❌ Not L1 / call-center support, ❌ Not a “just escalate to engineering” role, ❌ Not reactive firefighting only This is : A senior technical escal

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 an Inbound Sales Development Representative at Baseten, you'll be the first point of contact for prospects who've shown interest in Baseten - quickly engaging, understanding their needs, and qualifying them against our ideal customer profile. You'll turn inbound interest into qualified pipeline. RESPONSIBILITIES Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers. Diligently respond to inbound inquiries and determine potential product fit. Help influence Baseten's product roadmap for customers and prospects. Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten. Stay up-to-date on market trends, competition, and industry developments. Manage and document the progression of the sales pipeline. Drive pre- & post-engagement at industry events (will attend multiple events in person). REQUIREMENTS Ability to develop strong, long-lasting relationships both internally and externally. Collaborative and coachable, always looking to improve your skills and impact. Ability to handle rejection and stay persistent in pursuing leads. Excellent verbal and written communication skills. A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.). Excellent time management, process, and prioritization skills. Preferred experience with Cloud or Securit

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. Responsibilities Lead and direct the servicing and improvement of Nikon 193nm Scanner Equipment. Implement AI-enabled solutions to improve equipment performance and reliability. Collaborate with cross-functional teams to successfully achieve production goals. Conduct regular equipment inspections and troubleshoot any issues promptly. Develop and implement preventative maintenance programs to ensure equipment longevity. Train and guide less experienced engineers to encourage a culture of ongoing development. Requirements Bachelor's or Master’s degree in Engineering or a related field, or equivalent experience in either. Proven experience working with Nikon 193nm Scanner Equipment. Proven experience in AI technologies and their application in equipment management. Strong problem-solving skills and the ability to determine effective solutions quickly. Excellent communication and collaboration skills. Ability to work in a fast-paced, high-stakes environment and strictly adhere to safety protocols. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational

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. 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. Join our world-class team at Micron, where brand new ideas and collaboration drive groundbreaking advancements in memory and storage solutions. Our Thin Film Process department is an ambitious and dynamic group dedicated to delivering outstanding results through innovative technology and proven methodologies. As the Thin Film Process Manager, you will lead a team of dedicated engineers in Taiwan to develop and perfect thin film deposition processes. Your role will be crucial in driving flawless production and ensuring our products compete successfully in the global market. This is an outstanding opportunity to contribute to world-class technological advancements and to be part of a strictly collaborative and inclusive work environment. Demonstrate proficiency in leveraging AI-enabled tools to improve team productivity, operational decision making, workforce development and continuous improvement. Drive adoption of AI-assisted ways of working within the organization to enhance efficiency and business outcomes. Responsibilities: Lead and manage the thin film process team to determine and implement advanced process strategies. Develop, optimize, and coordinate thi

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. Join our Lithography Pathfinding team in Boise and help shape the future of memory technology! We are a highly collaborative group focused on developing next-generation patterning solutions that enable advanced memory scaling. Our work sits at the intersection of research, development, and manufacturing, giving you the opportunity to influence technology from concept through production. As a Lithography Pathfinding Process Development Engineer, you will play a critical role in evaluating and enabling next-generation lithography technologies, including EUV and High NA EUV. You’ll partner across technology development and manufacturing teams to align new capabilities with Micron’s roadmap, ensuring readiness for high-volume production. This role offers hands-on innovation, cross-functional collaboration, and opportunities to work with groundbreaking lithography tools and processes. Responsibilities: Lead pathfinding efforts for advanced patterning technologies across 193nm immersion, EUV, and High NA EUV Develop and optimize EUV lithography modules in the technology development environment Partner with defect inspection and mask teams to define EUV mask inspection strategies Collaborate with manufacturing sites to align process transfer, equipment, and materials readiness Travel as needed (up to once per month) to support High NA EUV development and early learning activities Minimum Qualifications: M.S. or Ph.D. in Engineerin

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 looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualificat

About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. This is not a generic ML role with some experimentation work on the side. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems. You will join a small, senior pod of causal ML and econometrics experts working across ML, Analytics, Product, and Engineering. The mandate is to build the causal spine for a large-scale consumer marketplace. You're excited about this opportunity because you will… Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals. Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation. Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions. Build systems that connect experimentation, observational data, and ML decisioning so teams can make better tradeoffs when randomized experiments are slow, noisy, or incomplete. Design surrogate metrics and early indicators that help teams move faster while preserving long-term marketplace health. Partner with econometrics and analytics leaders to choose the right methods: doubly robust estimation, IV, diff-in-diff, synthetic controls, double ML, CUPED-style variance re

About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems. You will join a small, senior pod of causal ML and econometrics experts working across ML, Analytics, Product, and Engineering. The mandate is to build the causal spine for a large-scale consumer marketplace. You're excited about this opportunity because you will… Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals. Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation. Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions. Build systems that connect experimentation, observational data, and ML decisioning so teams can make better tradeoffs when randomized experiments are slow, noisy, or incomplete. Design surrogate metrics and early indicators that help teams move faster while preserving long-term marketplace health. Partner with econometrics and analytics leaders to choose the right methods: doubly robust estimation, IV, diff-in-diff, synthetic controls, double ML, CUPED-style variance reduction, contextual bandits, off-policy evaluation, and related approaches

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Portworx is building a Forward Deployed Engineering team to embed directly with our most strategic customers during their highest-stakes Kubernetes storage deployments. You'll be the technical bridge between complex customer infrastructure and Portworx itself: shaping production architectures, advising through critical rollouts, and turning field experience into structured product feedback that shapes our roadmap. This is a consultative role. The customer's teams operate their own environment; your job is to make sure the decisions they make are the right ones. That means the value you bring is judgment and depth rather than execution: knowing which architecture holds under load and failure, which assumptions in a proposed design are wrong, and what a given storage fabric, hypervisor estate, or network topology will and won't support. Most of this work sits in the customer's own data center. Our largest and most complex deployments run on customer-owned compute, Fibre Channel and IP storage fabrics, established virtualization estates, and enterprise network designs that predate Kubernetes by a decade. You need to be genuinely conversant below the Kubernetes layer, at the server, the HBA, the switch, and the array, because that is where these deployments succeed or fail and where the customer's infrastructure leaders will test whether you're worth listening to. This is not a support role and not a pure pre-sales ro

**English version below** Doit être local à Montréal Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement? Nous recherchons une personne pour rejoindre une équipe dynamique en tant qu’ Ingénieure Fiabilité de Site (Site Reliability Engineer) pour l’un de nos clients. Le Site Reliability Engineering (SRE) est une discipline orientée production, axée sur l’amélioration de la disponibilité des services systèmes, de l’observabilité, de l’évolutivité, de la performance et de la fiabilité des produits technologiques, en appliquant de solides principes d’ingénierie logicielle et en adoptant les technologies et outils les plus récents. Nous serions ravis de vous rencontrer si vous : Vous intéressez aux systèmes distribués et au travail sur des services hautement évolutifs, fiables et à grande échelle. Aimez évoluer dans un environnement dynamique et n’avez pas peur de changer les choses pour les améliorer. Appréciez les nouveaux défis technologiques et la résolution de problèmes complexes. Croyez qu’une équipe qui collabore efficacement est véritablement plus intelligente que la personne la plus brillante qui la compose. Aspirez à évoluer en tant que personne, coéquipier·e et ingénieur·e. Faites preuve de détermination, de motivation et d’un profond sens des responsabilités. À propos de mtrois : Depuis 2010, mtrois aide ses clients à résoudre leurs défis commerciaux et technologiques. Nous sommes une société de conseil en technologie et en affaires avec une main-d'œuvre mondiale qui réalise des projets commerciaux et informatiques significatifs dans certaines des plus grandes organisations de services financiers du monde. Services principaux Consulting et Conseil Services gérés Programme de diplômés Alumni Programme Alumni Pro Nous avons une présence mondiale et sommes experts dans la fourniture d'une qualité exceptionnelle à notre base de clients, offrant des services de conseil dans les domaines du risque, de la réglementa

CSQ327R224 *This role requires an active Secret or Top Secret clearance* About Databricks At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, and customer obsessed, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role As a Sr. Forward Deployed Engineer (FDE), you will work with federal government customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. Please note: this role is hybrid and has a requirement to travel to customer locations 20-25% of the time The impact you will have: Production Solution Delivery: Lead impactful custo

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 turn Plaid's product expertise, proprietary data, customer impact, and perspective on intelligent finance into stories that build understanding, trust, and demand. We sit within Brand Marketing, owning resource content, customer storytelling, and owned editorial franchises, and we're increasingly bringing that storytelling to life through video and audio. You'll join as our first dedicated video and audio producer, reporting to our incoming Content Lead. You'll jump in immediately to produce Intelligent Finance, our flagship podcast and video series hosted by CEO and co-founder Zach Perret, already in production, so you'll pick up the reins without a long ramp-up period. You'll own production end-to-end, partner closely with our Content Design team to shape stories, and work directly with senior leaders to translate our product, data, and industry perspective into content people actually want to watch and listen to. Responsibilities: Immediately step in to produce Intelligent Finance, our already-underway podcast and video series, with no ramp-up period. Own end-to-end production of Plaid's flagship video and audio content, from concept through final delivery. Partner closely w

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is hiring a Senior Producer to work on our weekly tech show, Hard Fork. We're looking for someone with experience covering tech and working on chat shows, who can bring Hard Fork to life for our audio and video audiences, including social and full length videos. You have a refined understanding of podcast and video journalistic production (research, prep, scripting, recording, script editing, post-production and publishing). We're looking for someone with a deep understanding of podcast video and social trends, who can take an innovative and adaptive approach to video formats, techniques and YouTube strategy. This is a hybrid position based in New York and includes regular attendance in the office each week per your departmental guidance. Responsibilities: Work with Shows and Technology desk leadership to develop and execute on the ambitions of a new show Work with hosts and guests in studio, booking and pre-interviewing guests and prepping hosts Write interview questions, research, fact-check and collaborate on scripting Produce full interviews in audio and video from start to finish Make recommendations about length, format and tone before and during production Cut episodes on a tight deadline, with technical proficiency and with minimal oversight Consistently pull tape to shape a coherent and compelling conversation, using music, footage, b-roll, graphics and archive materials as needed Receive and incorporate edits Col