Instructional Systems Designer Jobs

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation Research and integrate state-of-the-art technologies to optimize our ML system Ideally you’d have: Strong excitement about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills and the ability to operate in a cross functional team environment Nice to haves: Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the positi

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team works to ensure that increasingly capable models behave safely and reliably in real-world environments. We investigate emerging model failures, define the behavior models should exhibit instead, and develop the data, evaluations, monitoring, and safeguards needed to improve and validate that behavior. Our work connects alignment research with the practical challenges of training and deploying frontier models. About the Role In this role, you will shape how OpenAI understands and addresses real-world risks that emerge from model misalignment as models become more autonomous and operate over longer horizons. You will investigate how misaligned behavior emerges across extended trajectories - including when models persist toward the wrong objective, take unsafe shortcuts, lose track of instructions, exploit weaknesses in their environment, or circumvent constraints - and translate these insights into behavioral policies, evaluations, monitoring, and safeguards. This role is ideal for someone who wants to turn alignment and safety concerns into concrete, empirically grounded improvements to frontier AI systems. This role is based in our San Francisco office. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. Your Responsibilities: Identify vulnerabilities that emerge as models interact with tools, data, and external systems, and translate them into model- and system-level safeguards. Develop threat models and empirical frameworks for understanding harmful outcomes from misaligned behavior. Build frameworks for understanding harmful outcomes arising from model misalignment. Identify the underlying behaviors and system conditio

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a hands-on Data Center Technician, IT Contractor to support the installation, deployment, relocation, cabling, inventory, maintenance, and decommissioning of servers, network equipment, storage systems, and other IT infrastructure. The successful candidate will follow established procedures, maintain accurate documentation, and coordinate effectively with internal technical teams and data center personnel. This role will be a 6-month contract fully on-site, based out of the downtown Toronto, ON Beanfield data center, with travel to Tenstorrent office locations and other data center facilities as required. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring approximately 2 to 5 years of hands-on experience in data center operations, IT infrastructure, server or network hardware, or a similar technical role. You are comfortable working with servers, network equipment, storage systems, racks, rack layouts, and copper and fiber optic cabling. You are detail-oriented, organized, and able to follow documented procedures, cabling standards, installation instructions, and safety requirements. You communicate clearly, work well wi

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

The Assistant Manager - Supply Operations (Food Platform) coordinates day-to-day Food Platform Administration activities and ensures accurate timely and compliant execution of defined system transactions supporting the Australian Food Platform. The role executes and coordinates master data administration purchase order generation system administration documentation and reporting within Microsoft Dynamics AX and future Enterprise Resource Planning (ERP) systems. It ensures activities are completed in accordance with approved Standard Operating Procedures (SOPs) work instructions and agreed Service Level Agreements (SLAs). The position supports operational coordination between GBS Administration and the Australian Food Platform. It does not make operational culinary commercial or client decisions. Any activity outside documented procedures must be escalated to the Manager and the Australian Food Platform for direction. Address: Nesco IT Park Tower 4 11th Floor North Wing Off Western Express Highway Goregaon East Facility: SBS Food Platform Australia Qualification: Graduate Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP570898

The Manager - Supply Operations (Food Platform) leads the GBS Food Platform Administration team and ensures accurate timely and compliant execution of defined system transactions supporting the Australian Food Platform. The role oversees master data administration purchase order generation system administration documentation and reporting within Microsoft Dynamics AX and future Enterprise Resource Planning (ERP) systems. It ensures activities are completed in accordance with approved Standard Operating Procedures (SOPs) work instructions and agreed Service Level Agreements (SLAs). The position serves as the operational conduit between GBS Administration and the Australian Food Platform. It does not make operational culinary commercial or client decisions. Any activity outside documented procedures must be escalated to the Australian Food Platform for direction. Address: Nesco IT Park Tower 4 11th Floor North Wing Off Western Express Highway Goregaon East Facility: SBS Food Platform Australia Qualification: Graduate Experience: 8 - 10 years Source: Sodexo India | Job Code: IJP570854

Work Flexibility: Onsite Schedule - Friday–Saturday: 5:00 a.m. – 7:00 p.m. Sunday: 5:00 a.m. – 6:30 p.m. Important: Candidates must be able to attend Youniversity training on the weekday their first week. What you will do - As an Assembler I, you will assemble mechanical units, fabricated parts/components and/or electrical/electronic systems to make subassemblies, assemblies or complete units using hand tools, power tools, jigs, fixtures and miscellaneous equipment. Under general supervision, assembles components that may include sub-assemblies, manual components and electrical components and all other related components to contribute to completion of a variety of products. Work from process work instructions and test procedures to complete tasks along with monitoring and recording related documentation to meet quality requirements Follow production build rates, schedules and meet required cycle times Assemble cartons and containers and prepare products for shipment in accordance with domestic, international and/or customer specifications Uses a variety of tools that may include, but are not limited to: manual and power hand tools, pneumatic tools, test equipment, presses, and measuring and cutting devices Responsible for set-ups, work preparation, clean up, and quality assurance of own work and work-area Meet work schedule and overtime requirements, including weekends Medium work: Exerting up to 50 pounds of force occasionally and/ or up to 20 pounds of force constantly to move objects What you need: Preferred Qualifications: High School or GED Manufacturing Experience $20.25/hr. + $2.00 Shift Premium

Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment. The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms. You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data. This role is based in our Gurgaon office, and can work in a hybrid fashion. This role will report to the Senior Engineering Manager also based in our Gurgaon office. What you’ll do Design, implement, test, and release features for Ops Manager Own end-to-end delivery of complex projects, from design through incremental shipping Troubleshoot and resolve issues surfaced in customer deployments running at scale Apply engineering judgment and MongoDB's core values across planning, design, and code review A great fit for this role will be You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team Requirements 4+ years experience with a language

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a product manufacturing & quality engineer, who will be responsible for driving technical initiatives related to the manufacturing, quality and reliability of our AI supercomputer hardware systems to ensure product success from concept to launch and through mass production. You’ll have the opportunity to coordinate with functional SMEs and work with a wide range of stakeholders, from design engineering and operations teams, TPMs, external industry vendors and partners to ensure that all products are developed and delivered on time and to the highest quality standards. 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 In this role, you will: Own the integrated manufacturing and quality readiness for a product across L6, L10, and L11, with clear gates, milestones, deliverables, owners, and closure criteria. Lead readiness of process flows, tooling, fixtures, assembly operations, test interfaces, and production controls. Review and contribute to work instructions. Translate product requirements into qualification plans, process controls, test requirements and acceptance criteria with design engineering and Area SMEs Coordinate and drive execution of product and process qualification, reliability testing, and validation with the relevant SMEs. Maintain traceable evidence that assigned products and processes meet agreed performance, reliability,

About the Team The Plugin Developer Platform team builds the APIs, SDKs, and tools that let people extend ChatGPT and Codex. We work on plugins, connectors, the Model Context Protocol (MCP), and interactive apps. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work covers plugin creation and publishing, the systems that run plugins across our products, and open standards that developers can build on. About the Role We’re looking for platform-minded engineers who know what it takes to build a platform developers want to use. You’ll work across developer-facing interfaces, APIs, and backend systems. You’ll own features from the first developer conversation through implementation and release. You’ll talk directly with developers, partners, and the open-source community. Their experience will inform the APIs and abstractions you design, the problems you prioritize, and the tradeoffs you make. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. What You’ll Do Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Make plugins easier to create, test, publish, update, and share. Improve compatibility and consistency across ChatGPT and Codex, including interactive app experiences. Contribute to MCP and other open standards, bringing practical developer needs into their design. Work with developers and partners to understand recurring problems and improve the platform, tooling, and documentation. Work with Product, Research, Security, and Trust & Safety on permissions, compatibility, and safe, reliable execution. You Might Thrive Here If You Have built software that other developers use. Your experience might include an open-source project, an API or SDK, a developer platform, internal too

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 Support daily business and operational activities within assigned departments. Follow established procedures, work instructions, and company policies. Maintain accurate records, documentation, and reports. Assist with process improvements and operational efficiency initiatives. Collaborate effectively with team members and cross-functional stakeholders. Ensure compliance with safety, quality, and environmental standards. Perform additional duties as assigned to support business needs. Familiarity with automation, AI-enabled productivity tools, or data-driven technologies is an advantage. Minimum Qualifications Diploma or equivalent qualification. Good communication and teamwork skills. Basic computer literacy and ability to learn new systems. Strong attention to detail and willingness to work in a dynamic environment. Flexibility to support shift-based or office-based schedules where applicable. 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 excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® a

About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent breakthroughs in multimodal AI have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering. We're building the systems and experiences that turn these research advances into products used daily by creators, professionals, businesses, and consumers around the world. Our team sits at the intersection of research, product, design, and infrastructure. We work closely with model researchers, mobile engineers, frontend engineers, and platform teams to build intuitive experiences and scalable systems that power image generation at global scale. Whether users are creating marketing assets, visualizing ideas, editing photos, designing products, or simply exploring their creativity, our goal is to make visual creation feel as natural as having a conversation. About the Role We are looking for an experienced Full Stack Engineer to join the Image Generation team and help shape the future of AI-powered visual creation. In this role, you'll own features end-to-end across both frontend and backend systems, building the experiences that enable users to generate, edit, organize, and interact with images inside ChatGPT. You'll work across the entire stack—from highly interactive user interfaces and real-time workflows to backend services, APIs, orchestration systems, and data infrastructure. This role is ideal for engineers who enjoy moving fluidly between product development and systems engineering, collaborating closely with design, product, and research teams to rapidly bring new AI capabilities to users. You'll help define entirely new interaction paradigms as multimodal AI continues to evolve. In

Role: Engineering Manager – Communications Location: Remote Team size: 15 engineers (backend + frontend) Type: Full-time About the Role We’re looking for an Engineering Manager who thrives at the crossroads of leadership, hands-on engineering, and solving problems that don’t come with an instruction manual. You’ll lead a team of talented backend and frontend engineers who are building the bridges between systems that power the full customer journey for financial institutions. In this role, you won’t just be overseeing work, you’ll be rolling up your sleeves, writing and reviewing production code, guiding architecture decisions, and coaching engineers to deliver their best work. The systems you’ll help build will connect modern cloud APIs with decades-old banking platforms, bringing reliability and elegance to what often starts as messy complexity. Our integration platform touches everything—from communication stacks to core banking systems, lending and mortgage platforms, payment gateways, and AI Platform. Every integration is an opportunity to shape how our customers experience our products end-to-end. And because we take an AI-augmented approach to software development, you’ll be part of a team that uses AI tools to augment SDLC and write better code, automate testing, and ship faster without compromising quality. What You’ll Be Doing Lead by Example – Stay hands-on with coding, designing architectures and reviewing code while guiding the team toward engineering excellence. Own the Integration Layer – Architect and scale connections across diverse systems, from sleek modern APIs to finicky legacy protocols. Champion the Customer Experience – Partner with Product, Implementation, and customer teams to ensure integrations truly solve real-world challenges. Collaborate Without Boundaries – Work closely with other engineering leaders to ship features that feel seamless across products. Build for the Long Run – Keep systems observable, reliable, and perform

Manufacturing Engineer (Associate or Experienced) Company: The Boeing Company Boeing Defense, Space & Security (BDS) Laser and Electro-Optical Systems (LEOS) site is seeking an Experienced Manufacturing Engineer for our advanced development and production manufacturing team located in Albuquerque, NM. The Boeing Laser and Electro-Optical systems (LEOS) group works to develop and implement next-generation technologies and products serving a variety of commercial and military customers. Our team focuses on rapid prototyping and precision production of advanced laser and electro-optical systems that satisfy challenging product performance requirements built in accordance with aerospace (AS9100) quality standards. Position Responsibilities: Design, develop and optimize manufacturing processes and tooling approaches for complex electro-optical aerospace parts and assemblies Collaborate with design engineers to ensure manufacturability and cost-effective production Review engineering drawings and provide comments to responsible engineer Participate in Integrated Product Teams (IPTs) to integrate technical solutions across multiple disciplines Participate in supplier selection and evaluation to ensure adherence to quality and delivery standards Write content for work instructions, travelers, and standard shop procedures Utilize electronic work instruction, material control and non-conformance management systems as needed to support production Ensure compliance with aerospace industry quality standards (e.g., AS9100, J-STD) Ensure the manufacturing work instructions and special processes follow safety and environmental regulations Assist in shop layout and