Loop jobs

Tax Manager - Flow-Through 3 Locations posted: Posted 11 Days Ago

Growth Lead, Beacon Network United States | Remote BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. TRM Labs is looking for a Member Growth Lead, Beacon Network (also considered Ecosystem Marketing Lead, Beacon Network, depending on candidate strength) to scale TRM's intelligence-sharing network across crypto exchanges, financial institutions, wallet providers, and adjacent compliance and risk teams. Beacon Network is the place these teams come to share scam, fraud, sanctions, and threat signals and to learn from each other. This is a sole-owner growth seat: you set the strategy, run the member acquisition motion, drive the engagement loop, ship the ecosystem marketing program, and report on the metrics that matter. The metrics are active members, signals contributed, signals consumed, and category visibility. The impact you will have: - Own the top of the funnel for Beacon Network membership. Set the baseline, the quarterly targets, and the channel mix that lifts active member count across exchanges, FIs, wallet providers, and adjacent compliance / risk teams. - Own the engagement loop: signals contributed, signals consumed, member-to-member intros, peer roundtables, member-led content. Set the cadence for member success programming (onboarding, monthly value reports, quarterly business reviews). - Ship Beacon Network's category visibility program: industry events, peer roundtables, partner

Data Analyst London - UK - Fenchurch posted: Posted 2 Days Ago

Full Stack Software Engineer San Francisco Bay Area, CA Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste. Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton. Doxel's automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow. Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. Join us as we continue our journey to transform the $15T Construction Industry! Construction is the second-largest industry in the world-nearly 4x the size of SaaS-yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late,

Junior Exercise Planner Arlington, VA posted: Posted 8 Days Ago

Flight Software Engineer Palo Alto | OnSite About Apolink: Apolink is building the world's most interoperable satellite relay network in low Earth orbit. Our hybrid communication architecture combines RF and optical inter-satellite links to enable real-time, continuous connectivity for satellite operators across industries. About The Role: You will own development of the embedded and flight software stack that powers Apolink's relay spacecraft platforms. From low-level device drivers to autonomous fault recovery, you'll design and implement the digital nervous system that makes our satellites reliable and interoperable. You'll work directly with avionics hardware, vendor SDKs, and payload systems to bring our first mission to orbit in 2026 and lay the foundation for a scalable constellation. Responsibilities: - Architect and implement real-time flight software for satellite command and control - Develop embedded software for avionics, SDRs, and optical/RF payload subsystems - Build hardware abstraction layers, device drivers, and telemetry/telecommand interfaces - Read and integrate vendor SDKs into the flight stack for bus and payload components - Implement autonomy features, including fault detection, isolation, and recovery (FDIR) - Build and maintain software-in-the-loop (SIL) and hardware-in-the-loop (HITL) frameworks - Design spacecraft-to-ground communication protocols with authentication and security - Support hardware integration, functional testing, and on-orbit commissioning - Collaborate with RF, GNC, and systems engineers for seamless spacecraft ops Qualifications: - B.S. in Computer Science, Computer Engineering, Electrical Engineering, or related field - 5+ years of experience in embedded/flight software development (space, aerospace, or robotics) - Proficiency in C/C++ for real-time and resource-c

Power Test Engineer, Satellite Power Hardware-In-The-Loop, Amazon Leo Redmond, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are seeking a Test Engineer, who is familiar with the validation of hardware and software stacks that comprise of our satellite's vehicle power system. We support the design, build, and test of complex vehicle power hardware and software systems for Amazon Leo satellites. This role is hands-on and spans flight vehicle design and verification, test infrastructure design reviews, cross-functional technical engagement, and execution of validation campaigns for current and next-generation power components and systems of the Amazon Leo Satellite product roadmap. You will work closely with Electric, Systems, Mechanical, Thermal, Reliability, Manufacturing, and external partners to ensure power systems meet targeted performance, safety, and mission requirements. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Architect, design, and automate new vehicle test cases that validate and verify satellite performance against requirements - Work with operators and engineers to troubleshoot anomalies found in production hardware and software test - Build standard operating procedures to scale routine

Senior BIOS Engineer 2 Locations posted: Posted 30+ Days Ago

Research Scientist 2 Locations posted: Posted 30+ Days Ago

Product Manager, AEC AI Solutions Anywhere in the United States Shape the future of AI-powered growth for the Architecture, Engineering & Construction (AEC) industries! We're looking for a Product Manager who thrives at the intersection of customer insight, product strategy, and AI-driven execution to help define and launch the next generation of capabilities on Unanet's AI-first platform. This is a “builder” role, not a traditional backlog management position. Partnering closely with Product, UX, Engineering, and Go-to-Market teams, you will own the journey from problem framing to product delivery, translating customer needs into clear product intent and rapidly turning ideas into market-ready solutions. Success will be measured by outcomes: accelerating customer growth, driving user adoption, and creating differentiated value that strengthens Unanet's long-term leadership in the AEC market. What You'll Do Develop and drive a forward-looking roadmap for AI-first AEC capabilities for Unanet's GrowthStudio product Lead product discovery, framing, and prioritization for customer-facing AI-enabled workflows and experiences Leverage internal AI tooling across the full product lifecycle, from discovery and strategy through prototyping, PRD creation, and refinement Partner with UX and Engineering to shape agentic workflows; move quickly from concept to validated prototype, and ensure we are solving the right problems for our customers Define success metrics, evaluation approaches, and feedback loops for LLM- and agent-driven experiences, including human-in-the-loop validation Translate strategy and research into actionable requirements and release plans Communicate effectively across technical and non-technical stakeholders, including Engineering on requirements and Marketing on Go-to-Market strategy Track competitive and market developments in

Staff Applied Machine Learning Engineer - Fraud & Abuse Bay Area, CA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will design, build, and operate production ML decision systems that reduce payment fraud, account takeover, identity abuse, merchant and marketplace risk, scams, and other adversarial activity across Block. The team optimizes for reliable decisions, safe deployment, and measurable customer outcomes - preserving access for good customers while reducing fraudulent, abusive, or unsafe activity. You should be comfortable owning production systems end to end: data contracts, low-latency inference, batch scoring, feature quality, online/offline consistency, model deployment, monitoring, incident response, rollback, and outcome feedback loops. The work combines large-scale ML decisioning with AI-assisted operations: surfacing evidence, simulating controls, accelerating triage, and improving feedback loops while preserving human judgment in high-stakes decisions. You will work closely

Data Engineer 3 Locations posted: Posted 29 Days Ago

Scientist US - Massachusetts - Cambridge posted: Posted 14 Days Ago

Software Validation Engineer, Energy Storage San Francisco, California, United States About Redwood Materials Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling - keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we're delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have. Software Validation Engineer, Energy Storage The Redwood Vision: Architecting the Future of the Grid We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. As a Software Validation Engineer , you are the bridge between pure code and physical reality. You will design and maintain the environments-Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)-that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. Key Responsibilities - Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions - Test Automation Frameworks: Lead the development of automated test

Director, Revenue Cycle-Patient Accounting Yale Campus - Hospital Yale Campus - Hospital

PhD Autonomy Engineer Intern - Planning & Controls (Reinforcement Learning) Zurich, Switzerland, Zurich, Switzerland Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: Skydio builds the world's most advanced autonomous drones used across inspection, public safety, defense, cinematography, and more. Your research won't languish in a paper-it will fly , shaping how pilots and operators complete real missions in complex environments. Develop and deploy reinforcement learning (and adjacent policy-learning methods) that make Skydio aircraft plan, navigate, and control themselves more intelligently-safely, reliably, and efficiently-across our ecosystem: handheld apps, ground control, cloud autonomy services, and fleet workflows. How you'll make an impact: - Navigation & avoidance in the wild: Train policies that adapt online to cluttered 3D scenes (forests, bridges, urban canyons), complementing our geometric stack for robust obstacle avoidance and dynamic goal-seeking. - RL-augmented planning: Fuse learned cost shaping / value functions with trajectory optimization for smooth, agile flight with tight safety envelopes and mission constraints. - Sim → Real at scale: Build scalable datasets and training loops with Isaac Lab, domain randomization, residual learning, and safety filters; validate on real drones weekly. - Human-in-the-loop shared

Engineering Manager - Robotic Systems and Test San Diego, California, United States About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. About the Role We are looking for an Engineering Manager to lead the Product Integration and Test team, which is critical for turning individual, stand-alone components from various teams into a single, cohesive autonomous product. This position will help the team execute effectively through technical guidance, mentoring,

ML Engineer Toronto posted: Posted 30+ Days Ago

Saftey Scientist US, Blue Bell (ICON) posted: Posted Yesterday

Robotics Software Engineer, Verification & Validation Costa Mesa, California, United States Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together. We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril's Lattice ecosystem. ABOUT THE JOB We are seeking a Robotics Software Engineer to own Verification & Validation (V&V) across the Omen platform. In this role, you will design and own the automated testing infrastructure for our mission software, building Software-in-the-Loop (SITL) and Hardware-in-the-Loop (HITL) environments that exercise autonomy, hardware interfaces, and full-system behavior before code reaches the field. You will write integration and system-level tests, evaluate autonomy tasking, and ensure our software is mission-ready across every release. This role is a strong fit for engineers

Part Time Teller - Oxon Hill MD - Oxon Hill posted: Posted 8 Days Ago

Robot Controls Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Robot Control Engineer to develop and maintain the control systems that run on our humanoid robots. You'll own the software that connects hardware to behavior - from low-level control loops and actuator interfaces to state estimation and real-world deployment. What You'll Do - Develop and maintain onboard control software including control loops, state estimation, and actuator interfaces - Implement and tune motion planning and control systems - including whole-body control, trajectory optimization, or model predictive control - Collaborate with the AI/ML team to integrate learned control policies onto real hardware reliably and efficiently - Contribute to system reliability, fault detection, and recovery logic for robust real-world operation - Work directly with prototype hardware, debugging discrepancies between simulated and real behavior and iterating on both - Support bring-up and field testing of new hardware revisions What We're Looking For - 4+ years of experience building control software for

VP Engineering Manager (L12) 6 Locations posted: Posted Today

Senior Staff Engineer, DevAI Mountain View, CA, USA; San Francisco, CA, USA Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality. This role follows a hybrid work schedule and reports to the Director of Engineering, DevAI You will: - Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation - Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, automated