Solve Intelligence jobs

Senior Applied Scientist, Agentic WorkSpaces Seattle, Washington, USA About the Organization AWS is on a mission to transform how businesses operate by delivering intelligent, cloud-powered applications. Our Applied AI Solutions organization accelerates customer success through intuitive, differentiated technology that solves enduring business challenges - blending vision with real-world expertise to build turnkey solutions that are easy to adopt and built to scale. Within this organization, we are building the next generation of secure, intelligent workspaces - environments purpose-built for human-AI collaboration at enterprise scale. The Role We are looking for a Senior Applied Scientist to build the predictive intelligence powering capacity management for our workspace platform - developing machine learning systems that forecast demand, optimize resource allocation, and enable cost-efficient scaling at massive scale. This role requires someone who can translate complex business requirements into production ML systems, designing algorithms that balance customer experience with operational efficiency across a large and diverse fleet of capacity pools. What You'll Do • Architect and implement ML foundations for capacity management, building models that continuously learn and optimize across multiple dimensions including geography, platform, and instance type. • Develop demand forecasting systems that anticipate usage patterns hours to weeks in advance, enabling proactive capacity decisions at scale. • Build anomaly detection systems that identify capacity risks before they impact customers, improving service reliability and resilience. • Design optimization algorithms that make high-frequency, automated decisions balancing two critical forces: ensuring a flawless customer experience where every operation succeeds, while maximizing cost efficiency through intelligent

Senior Applied AI Scientist (AI Learning) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we believe learning should be personal, dynamic, and data-driven - and our AI Learning team is at the core of making that a reality. We build the models and systems that power personalized learning paths and real-time feedback, using multimodal LLMs trained on rich, unstructured data like video, audio, and transcripts. Our goal is to transform how students learn between lessons and how tutors deliver impact at scale. From building conversational AI tools to designing smart teaching assistants, we apply the latest in NLP, generative AI, and deep learning to real-world learning journeys - always with a focus on usability, effectiveness, and

Solutions Architect, National Security Solutions Architecture Team Herndon, Virginia, USA Amazon Web Services is seeking a Solutions Architect to support our US Government customers in the Northern Virginia / DC Metro area. (Relocation assistance is available.) As a Solutions Architect on the National Security team, you will serve as a trusted technical advisor to your Intelligence Community customers. You are the “face of Amazon” to your customers, and they will consult you regarding a broad variety of technical challenges that are complex and mission-critical. You can build sample solutions, “think big,” and provide architecture designs and cloud enablement strategy that suit your customer's business and technical needs. This is a high-visibility role where you collaborate with and influence external stakeholders (our government customers) and internal AWS teams like Sales and Platform Engineering. National Security Solutions Architects are regarded as technical “thought leaders” within the Intelligence Community who evangelize emerging technologies on a conceptual level and on a practical, architectural level. Our SAs have played a critical role in the widespread adoption and advancement of cloud computing capabilities within the Intelligence Community. SAs think outside of the box to deliver results to our customers and provide solutions that are cost-effective, time-saving, and secure. As a National Security SA, you'll solve problems at both the business and technical levels. You'll work backwards from our customers' requirements and envision new mechanisms and strategies we can leverage that would enable agencies to operate more efficiently and better execute on their goals. Then, you'll figure

Solutions Engineer (East Region) New York City, New York, United States About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a Solutions Engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. This role is based in our NYC, NY office. What you'll do - Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers - Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility - Deliver product and technical presentations to potential and existing customers - Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape - Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials - 5+ years of experience as a Sales

Applied Scientist, Agentic Automated Reasoning London, England, GBR The Agentic Automated Reasoning Group is building the next generation of software verification tools combining advances in artificial intelligence, the computational capacity of the cloud, and our deep expertise in the domain. Join us if you want to be a part of this transformational endeavor. The Strata team (https://github.com/strata-org) is seeking an applied scientist with broad interest and expertise in model checking, interactive theorem proving, programming language semantics, and generative AI. You will combine your expertise with that of your coworkers to build new tools that solve code analysis problems previously considered beyond reach. Our application areas span all the way from Infrastructure as Code to high-performance cryptography written in assembly code, while our methods span from interactive theorem proving to automated test generation. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. https://aws.amazon.com/security/provable-security/ Key job responsibilities - Work with customer teams to understand the nature of their software and the properties they need to establish of it. - Identify tools and methods capable of addressing the verification needs of customers, including any novel analysis capabilities required. - Use techniques spanning property-based testing to model checkers, and

Associate Director, Portfolio Intelligence Palo Alto - 3160 Porter Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a “moneyball for biotech” approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries, and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. At BridgeBio, we value curiosity and experimentation-including the ethical & thoughtful use of AI to improve clarity, speed, and quality of work. What You'll Do BridgeBio is seeking a highly motivated and experienced individual to join as an Associate Director of Portfolio Intelligence. The role reports to Strategic Finance and Investor Relations and serves as an independent source of truth for executive leadership on the value, attractiveness, risks, and performance of key assets across the BridgeBio portfolio. The position is designed for an individual who can operate at the intersection of science, strategy, and finance, and translate complex analyses into clear recommendations for executive

Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today

Machine Learning and Artificial Intelligence PhD Internships United States Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate,

Software Development Engineer, Middle Mile Disruption Management Vancouver, British Columbia, CAN Do you want to be part of building the next-gen engineering system, global transportation network, intelligent ML algorithms, advanced GenAI solutions, and deliver packages to your doorstep? Are you up for this? Amazon's Middle Mile Transportation Technology team is chartered with solving complex problems with software that work across our vendors, warehouses and carriers to optimize both time & cost of getting the packages delivered. Our services already handle thousands of requests per second, make business choices impacting billions of dollars a year, integrate with a network of small and large carriers, owner operators and drivers worldwide, manage business rules for millions of unique products, and improve ordering and delivery experience for millions of online shoppers. Our mission is to build the most efficient and optimal transportation solution on the planet, using our technology and engineering muscle as our biggest advantage. We aim to leverage advanced technologies in big data, machine learning, generative AI, and optimization techniques, and operate high volume, low latency, and high availability services. Oh, and we will need great mentors too (this is where you come in … read on) You'll develop an intelligent system powered by ML and GenAI to automatically resolve disruptions occurring in the real world. You will build and deploy machine learning models for predictive analytics and leverage generative AI for intelligent automation and decision support. You will regularly interact with our customers, and engineering and business stakeholders across senior levels.

Senior Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help

Software Development Engineer, Siri Runtime Systems and Interaction Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. The Siri Software Group is looking for a highly motivated Systems Software Engineer to help build delightful Siri experiences supercharged with Apple Intelligence. You will be working with the team that has created the best-in-class intelligent voice assistant that helps millions of people get things done. You enjoy problem solving and are passionate about building high-quality software that enables a wowing customer experience. In this role, you will be at the forefront of designing, building and integrating the next generation of Siri that is responsive, deterministic and low-latency. You will focus on new features, system integration to optimize performance for low-latency interaction as well as exceptional battery life, and help develop intelligent experiences into people's daily lives. This is a highly cross functional role requires collaborating with with engineers across software, hardware and silicon to create these

Machine Learning Engineer- GenAI Cupertino, United States of America Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data. Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences

Sr Manager, Engineering Bangalore Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn't just possible-it's essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we're redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of

Senior Applied AI Scientist (AI Marketplace) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, AI isn't a feature - it's foundational. It powers how we connect millions of learners and tutors, personalise every interaction, and build a marketplace where meaningful learning thrives at global scale. The Applied AI team sits at the centre of this ecosystem. We design and deploy intelligent systems that drive real-time tutor-learner matchmaking across millions of sessions worldwide. Over time, we've evolved from traditional machine learning approaches into a modern AI-native marketplace - leveraging deep learning, advanced ranking and re-ranking architectures, and proprietary multimodal data including audio, video, and transcripts to deliver smarter recommendations and measurable learning outcomes. Our scope extends far

Senior Machine Learning Engineer, AI, SIML Cupertino, United States of America Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! We're seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with

Emerging Impacts Manager, DeepMind London, UK As an Emerging Impacts Manager, you will deliver tangible, grounded, and forward-looking intelligence for teams across DeepMind; ultimately, you will advance our mission to develop Artificial General Intelligence (AGI) responsibly for the greater good of humanity. In this role, you will work with technical and operational teams at DeepMind to consider the potential downstream impacts of DeepMind's research and its applications. You will ensure that our work is conducted in line with ethics and safety best practices, helping DeepMind to progress towards its mission. You will build on your technical knowledge of AI models across various domains to assess their safety performance and real-world impact, sharing analysis to advise various DeepMind stakeholders, including our responsibility and safety council. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Lead ethics and safety reviews of projects and engage early with model teams to assess downstream societal implications and navigate governance considerations. Collaborate closely with DeepMind safety communities and broader teams to inform model policy,

Scientist - Data, Global Artificial Intelligence & ML Toronto Requisition ID: 261586 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Overview Scotiabank is seeking a highly specialized and innovative Data Scientist to join our Global Artificial Intelligence and Machine Learning team. This role is central to building and deploying next-generation AI/ML products across the bank's business lines, focusing specifically on leveraging advanced Large Language Models (LLMs) to transform how we process, understand, and extract value from complex, unstructured documents. The ideal candidate will be an integral part of the organization's AI/ML strategy, using cutting-edge Gemini prompting techniques and robust Python coding to solve high-impact business challenges. Is this role right for you? In this role you, will: The Data Scientist will be a core member of the Global AI/ML team, focused on creating value for both the bank and its customers through AI-driven products. You will work closely with a diverse team of data scientists, data engineers, AI/ML product managers, and software developers to understand business partner challenges and processes, turning those insights into scalable, working solutions. You will have direct exposure to working production models and will be responsible for creating new, high-impact AI/ML solutions. Understand how the Bank's risk appetite and risk culture should be considered in decision making Key Responsibilities Technical Delivery and Development: Develop,

Mathematics Specialist (Fluent in Dutch) - Freelance AI Trainer Project Netherlands Are you a mathematics expert fluent in Dutch, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline academic work for students and professionals everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for mathematics specialists who live and breathe algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics. You'll challenge advanced language models on topics like real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on classroom problems and theoretical mathematics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in mathematics or a closely related quantitative field is ideal; peer‑reviewed publications, teaching experience, research in pure or applied mathematics, or hands‑on experience with mathematical modeling signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your mathematics expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to‑$65 per hour, with the

Senior Machine Learning Scientist (Sensor Intelligence) Boston, MA At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You'll enable next-generation AI coaching at Whoop, developing robust algorithms for constrained edge and cloud environments,ultimately delivering meaningful and personalized coaching to millions of members. At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Machine Learning Scientist to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Data Science. This role is central to developing and scaling machine learning systems that power the most foundational health features at WHOOP. You'll enable next-generation AI coaching at Whoop, developing robust algorithms for constrained edge and cloud environments,ultimately delivering meaningful and personalized coaching to millions of members. RESPONSIBILITIES: - Research, architect, and develop ML systems for member coaching distributed between edge hardware and the cloud - Collaborate with machine learning and edge ML engineers to translate prototypes into production - Partner with product and user

Partner Business Manager, Defense & Intelligence (EMEA) Europe, Remote Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is seeking a Partner Business Manager to expand and refine our ecosystem within the European Defense & Intelligence (D&I) sector. In this role, you will be responsible for identifying and sourcing new strategic partnerships across the EMEA region that align with the mission-critical needs of our D&I business group. You will

Manufacturing Operations Supervisor / Weekend Shift Cullman, AL, US Basic Qualifications Bachelor's degree in a related specialized area or the equivalent experience is required plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience to meet managerial expectations. CLEARANCE REQUIREMENTS: Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position Imagine a world-class engineering environment. Now add a team of exceptional talent along with technologies that are so advanced they're often classified. That's what you'll find at General Dynamics Mission Systems. Here you'll lead amazing engineers as they invent the technologies, products and services that help our service members, intelligence analysts and first responders keep our nation safe. If you want the chance to lead, it's time to bring your talent to General Dynamics Mission Systems. We apply advanced technologies such as Artificial Intelligence, Blockchain, AR/VR, Cloud Native and Quantum Physics to solve our customers' missions in cyber, RF, undersea, interstellar and everything in between. **THIS IS A WEEKEND SHIFT POSITION (FRI - SUN 6AM - 6:30PM)** ROLE AND POSITION OBJECTIVES: As a Manufacturing Supervisor for General Dynamics Mission Systems (GDMS) Precision Structures & Optics (PSO) located in Cullma

Builder/Architect/Engineer Expert Consultant (Part-Time Contractor) Remote, United States About Brain Co. Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. About the Role Brain Co. is building the world's first AI-native permitting, and we need people who've actually done the work to help us get it right. You would play a role in helping shape AI Permitting in the US. We're looking for 1) homebuilders and developers - production builders, custom builders, small regionals, and 2) architects, and 3) engineers to join us as part-time advisors. You'll work directly with our product and GTM teams, telling us where our AI falls short, what would actually change how you operate, and what it would take for a tool like this to earn a place in your workflow. We are looking for someone for a minimum of 2 hours per week for 3-4 months. Opportunity to extend as needed. What you'll do - Walk us through how you submit - Tell us what is included, what you've learned to front-load, where submissions get tripped up - Use the product on a project - Run a real permit package through our software alongside normal process - Tell us where we are wrong - Review AI output on real permit submissions

Implementation Project Manager, Professional Services Bengaluru, India Why project44? At project44, we believe in better. We challenge the status quo because we know a better supply chain isn't just possible-it's essential. Better for our customers. Better for their business. Better for the world. With our Decision Intelligence Platform, Movement , we're redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward. Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose. AI at project44 We expect every project44 team member, regardless of role or function, to actively leverage AI in their day-to-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers. If you're driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and

AI Support Engineer (US) San Francisco, California, United States About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . About the Role At Dust, we're coining the term AI Operator : someone who rethinks and rebuilds company processes around AI. Not "how can AI help us do this faster?" but "if AI existed from day one, would we even do this the same way?" The AI Support Engineer applies this mindset