Ai Infrastructure Systems Engineer Jobs

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 role Together.ai is looking for an experienced, proactive, and enthusiastic recruiting coordinator to join our talent team and participate in the hiring process from beginning to end. The ideal candidate is highly organized, thorough, and flexible in a fast-paced environment. In this role, you will work directly with hiring managers, recruiters, and candidates. You will get to partner closely with the talent specialist lead to develop and execute on a variety of projects to enhance our recruiting experience and process. We are looking for a team player who can live our vision and is eager to develop their recruiting skills at one of the most competitive, research -driven companies in AI. Responsibilities Work closely with HR to ensure smooth transitions between recruitment and onboarding. Identify inefficiencies in the recruitment process and propose improvements to enhance productivity. Assist in developing recruitment-related templates, tools, or guides for hiring managers. Maintain confidentiality of candidate information and recruitment records. Book rooms, handle travel arrangements, and set up virtual meetings for candidate interviews when necessary. Ensure that interviewers have the necessary materials and schedules for their interviews. Help prepare and send offer letters to candidates. Coordinate pre-employment processes such as background checks and reference verifications. Prepare and run reports on recruiting metrics, such as time-to-hire, offer acceptance rates, etc. Manage and update interview schedules through Applicant Tracking Systems (ATS) and calendar tools. Ensure smooth communication between candidates, interviewers, and hiring managers. Act as the primary point of contact for candidates throughout the recruitment process. Provide timely responses to candidate inquiries and updates on their status. Other duties as assigned Requirements 1-3 years of experience in a recruiting, HR, or administrative role, preferably in the tech, AI

At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's Machine Learning Research team builds the foundation for the next generation of AI systems — pushing the boundaries of what's possible with frontier models while ensuring safety, reliability, and alignment at every step. Our work spans generative AI, reinforcement learning and advanced post-training methods, scalable oversight, synthetic data pipelines, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power machine learning pipelines for dozens of industry-leading customers. These models and systems form the backbone of Scale's long-term strategy, enabling billions of tasks monthly and supporting some of the most complex and advanced use cases in the AI ecosystem. As an intern, you'll work on a combination of deeply technical ML applications in production and cutting-edge research problems, with mentorship from world-class researchers and the opportunity to collaborate with leading teams across industry and academia. Interns own real, published or shipped work — not side projects. Example Projects Measure the dangerous capabilities of frontier models and conduct preparedness research Research the science and creation of new benchmarks for frontier models Develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought Research reinforcement learning and post-training methods that improve model reliability on high-stakes tasks Research scalable oversight protocol

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

About the Role The Speculative Decoding team at Together AI builds the draft models and algorithms that let large language models generate faster without changing their outputs. Our speculators run in production on frontier open models such as DeepSeek, Kimi and GLM. Our work sits at the intersection of model training, inference algorithms and serving systems, and we co-design all three to lower the cost and latency of generation. As a research intern, you will dive into open questions in speculative decoding: new drafter architectures and verification schemes, knowledge distillation and training recipes that align draft and target models, and drafters that adapt as traffic shifts. You will train and fine-tune draft models at scale on dedicated GPU clusters, and test your ideas against realistic serving workloads, including long-context and agentic traffic. Projects aim to answer important research questions in speculative decoding, enabling faster generation on frontier models, drafters that keep pace with changing workloads, and robust, reproducible evaluation under real traffic. Past Research Speculative decoding research by Together researchers, interns and academic collaborators includes: Speculative Speculative Decoding (ICLR 2026) When RL Meets Adaptive Speculative Training: A Unified Training-Serving System (ICML 2026) Beat the Long Tail: Distribution-Aware Speculative Decoding for RL Training (MLSys 2026) Responsibilities Research and prototype new efficient speculative decoding algorithms and draft model architectures Train, fine-tune and distill draft models, and design rigorous experiments to validate hypotheses. Implement optimized version for serving engines to show efficacy in real world workloads Communicate the plans, progress, and results of projects to the broader team Share findings through technical write-ups and blog posts, and help bring successful ideas into production Requirements Currently pursuing a Master's or Ph.D. degree in Computer Sci

For 10 years Scale AI has worked with leading organizations to build reliable AI systems for the world's most important problems. Join our team to shape the future of AI and push the boundaries of innovation. The Scale Interactive Brand Studio (9 people full-time) is responsible for Scale’s visual identity and brand strategy, the design and development of scale.com, and the creation of original creative content (videos, ads, social assets, and swag). We design for a variety of applications including trade show booths, printed marketing materials, and digital advertising. We grow the team with intention - adding ambitious, motivated talent that will build Scale’s brand perception by executing with pace and quality. This role reports to the Manager of Web Experience. You will: Design Exceptional Web Experiences: Design responsive, visually compelling website layouts, page templates, graphics, and interactive UI patterns across Scale's digital properties, with a primary focus on scale.com. Build for Scale: Create reusable design components, patterns, and systems that establish consistency across web experiences while enabling teams to move quickly and efficiently. Translate Ideas into Designs: Develop wireframes, user flows, prototypes, and high-fidelity mockups that translate business objectives, brand direction, and user needs into intuitive digital experiences. Bridge Design and Development: Partner closely with web engineers to communicate design intent, prepare implementation-ready specifications, review builds, and ensure high-quality execution. Design for Performance and Usability: Apply responsive design, accessibility, usability, and web performance best practices to create experiences that work seamlessly across devices and screen sizes. Evolve the Brand: Champion consistent application of Scale's visual identity while exploring new design directions that reflect the company's growth, innovation, and position in the AI industry. Experiment with Emerging Techn

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the role Reporting to the Senior Director of Finance, the DaaS Finance Manager is a critical member of the Finance org and a dedicated finance partner to the DaaS business as we scale. You will drive the financial insights that lead to better decisions: what we charge, what it costs to deliver, how much we need to deliver, and how it all rolls into revenue and ARR. The job is not just reporting numbers, but telling leadership what they mean and what to do about them. You will partner closely with the operating teams (Sales, Delivery Ops and RevOps) and bring finance rigor to how we work: clear assumptions, consistent definitions, and models people trust. Success is measured by outcomes, not outputs: deals priced to target margin, staffing plans that match demand, and a forecast leadership has confidence in. Key responsibilities The work falls into three pillars, with the mix shifting through the quarter. 1. Revenue model and forecast (with RevOps) Maintain the DaaS revenue model: bookings, acceptance-based revenue and ARR by deal, with scenario cases for planning. Partner with RevOps on the weekly revenue and ARR forecast, and run the weekly forecast deck and summary for leadership. Reconcile the field's call (commit, forecast, best case) with a deal-by-deal finance view; quantify coverage, swing deals and risks. Track delivery pacing and acceptance against plan and identify execution risks. Build bridges and variance analysis (forecast vs actual,

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts Must haves: An active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Omaha area 4 days per week and able to travel at least 25% of the time (as needed) We have a diverse team with a variety of skill sets, many have: 10+ years of professional experience, often in a customer-facing technical program management role in industry or government Prior experience at an API technology company and / or managing technical customers using an API A

The UK is making a wholesale shift to AI. The government's AI Opportunities Action Plan set out to "mainline AI into the veins" of the country, and the focus has now moved to delivery: the Incubator for AI ( i.AI ) is shipping tools like the Humphrey suite into departments, a Sovereign AI Unit and AI Growth Zones are being stood up, and civilian departments are under real pressure to move from pilots to production. Scale can play a foundational role in building the reliable AI applications that shift depends on. We're looking for someone to lead that work in central government. This isn’t about staying in the office and managing a team of sales people, its about building the business from the front. You'd own our commercial relationships across civilian departments, starting where the near-term pipeline is strongest: HMRC, DWP, and NHS. This is a critical role reporting directly to the new Public Sector leader. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into these departments before and knows how they actually make decisions, not just how the org charts look. What you'll do Own our commercial plan and pipeline for UK civilian central government Find, shape, and close deals yourself, from the first conversation through to contract and into delivery Use the relationships you already have across departments like HMRC, DWP, and NHS Work the frameworks, tenders and teaming, and know which route to market is worth the effort and which isn't. Be a credible counterpart to senior civil servants, and turn what they need into work we can deliver Stay close to our product and delivery teams so what we sell is what we build Hire and lead a small team over time, and help shape the wider UK public sector plan with the UK Public Sector Lead What we're looking for You've sold and delivered technology or transformation work to UK civilian central government, either from a vendor or from inside governmen

About Scale Scale builds AI systems for decisions that matter. We started out providing the data and evaluation behind many of the world's leading models, and we still work with the major frontier labs on research and post-training. Today we also build full applications: we take an organisation's own data and expertise, forward deploy alongside their teams, and build the systems they come to rely on, powered by the Scale GenAI Platform. The Role The UK is making a wholesale shift to AI. The government's AI Opportunities Action Plan set out to "mainline AI into the veins" of the country, and the focus has now moved to delivery: the Incubator for AI ( i.AI ) is shipping tools like the Humphrey suite into departments, a Sovereign AI Unit and AI Growth Zones are being stood up, and civilian departments are under real pressure to move from pilots to production. Scale can play a foundational role in building the reliable AI applications that shift depends on. We're looking for someone to lead that work in central government. This isn’t about staying in the office and managing a team of sales people, its about building the business from the front. You'd own our commercial relationships across civilian departments, starting where the near-term pipeline is strongest: HMRC, DWP, and NHS. This is a critical role reporting directly to our Head of Public Sector, UK. You'd carry a number, win deals yourself, and build a small team behind you as the work grows. It suits someone who has sold into these departments before and knows how they actually make decisions, not just how the org charts look. What you'll do Own our commercial plan and pipeline for UK civilian central government Find, shape, and close deals yourself, from the first conversation through to contract and into delivery Use the relationships you already have across departments like HMRC, DWP, and NHS Work the frameworks, tenders and teaming, and know which route to market is worth the effort and which isn't. Be a cr

About The Role Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers. As we continue to drive product innovation, we are also investing deeply in our GTM. This role will lead partner marketing at Together AI. They will define our partner marketing strategy and own the execution, in collaboration with the GTM leadership. This role will report into the head of product and solution marketing and will have the opportunity to own and independently build the partner marketing function at one of the most innovative companies at the forefront of AI. Responsibilities Create and execute partner marketing strategy, specially for NVIDIA and cloud partners – in collaboration with GTM leadership Own core messaging for partners, working closely with product marketing to build those Be the marketing POC (point of contact) for partners and run regular rhythms of business to drive co-marketing efforts Collaborate with demand gen and field marketing to run partner marketing campaigns Outline and track metrics to measure our success in the partner space Experiment and try new ideas that can help us scale further the ROI for both partners and Together aI Requirements 5+ years of partner marketing experience, preferably working with cloud hyperscalers (Azure, AWS, GCP) and/or NVIDIA Proven track record in creating and implementing high impact partner campaigns for B2B businesses, preferably in AI or Software Platform (PaaS) Strong ownership mindset and ability to build something from ground up Experience with scaling organizations through partner GTM Strong analytical skills with a data-driven approach to decision-making and reporting Bachelors degree required, preferred if in engineering About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI ap

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! Senior Staff Backend Engineer About the Team We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering. You'll work alongside staff, senior, and early-career engineers, and partner closely with engineering leadership to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to own complex, multi-domain technical problems and shape product direction beyond a single team. We are low on meetings, high on accountability. Most of the teams are in the EST time zone, but we have a few located in AST, PST, and Central as well. What you'll be doing You will play a pivotal role in shaping the technical direction of our application stack across multiple domains. You will lead development efforts for our most complex initiatives, the kind that span two or more teams or product areas, and serve as a technical benchmark for system design, code quality, and long-term maintainability. You'll operate at the intersection of data modelling, business logic, and enterprise-scale reliability, and your work will often set standards that neighboring teams adopt. This remains a hands-on

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! DIRECTOR OF STRATEGIC FINANCE Strategic FP&A, AI Automation, & Executive-Level Storytelling ABOUT THE ROLE: We are looking for an exceptional, hands-on Director of Strategic Finance to act as the strategic right-hand lead to our VP of Finance. Operating alongside our Controller (who leads accounting close, statutory compliance, tax, and ERP administration), you will own our forward-looking financial strategy. You will lead our corporate modelling, deploy AI and modern automation workflows across Finance and RevOps, execute on M&A and capital markets transactions, and use generative AI or AI applications to build out high-performance analytics frameworks as the company scales. WHAT YOU'LL DO (KEY RESPONSIBILITIES): 1. Hands-On Strategic FP&A & Corporate Modeling • Corporate Financial Architecture: Build and maintain our dynamic 3-statement models, weekly/monthly/quarterly operating plans, revenue forecasting, multi-year operating forecasts, and scenario analyses from the ground up without relying on junior analysts. • Executive & Board Presentation: Spearhead the quantitative financial narrative, analysis, and materials for Board of Directors meetings, executive quarterly reviews, and investor reporting. • Corporate Planning: Lead the annual budgeting process by working with the executive team to develop an annual plan with near real-time reporting on plan progress. • Future Team Foundation: Establish rigorou