Machine Learning Engineer Radar Jobs

We are looking for a Senior Software Engineer to become part of our storage management plane team. The management plane is a web-based application crafted to provide our storage customers the capabilities to handle and supervise our distributed storage infrastructure. Our team is continually dedicated to acquiring and implementing ground breaking technologies to overcome obstacles and innovate solutions for improving our ability to handle large clusters of machines efficiently. What You Will Be Doing: Maintain and develop Kubernetes operators and our Container Storage Interface (CSI) plugin. Develop a web-based solution that manages, operates and monitors our distributed storage. Work closely with other teams to define and implement new APIs. What We Need to See: B.Sc., M.Sc. or Ph.D. in Computer Science, or related discipline, or equivalent experience. 8+ years of experience in web development ( both client and server ) Proven experience with Kubernetes (K8s), including developing or maintaining operators and/or CSI plugins. Experience scripting with Python, Bash or similar. Experience with nodejs is a must At least 5 years of experience working in a Linux OS environment You’re smart and a quick learner You do what it takes to get the job done Passionate about coding and big challenges Ways to stand out from the crowd: NodeJS for the server side: dominant modules are async & express . Kafka, MongoDB, K8s JavaScript frameworks: React, jQuery, c3j

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. We're looking for an engineer who sits at the intersection of model research and production systems. Together with our researchers, you'll decide what "better" means for a model and how to prove it — then build the infrastructure that makes those proofs reliable and repeatable: evaluation harnesses, data pipelines, and model training that hold up at scale and that the whole team can build on. This is a hands-on, individual-contributor position. The systems that judge whether a model improved, and the environments that drive that improvement, will be yours. Responsibilities Build and own end-to-end evaluation suites for LLM capabilities: task specs, grading logic, and the dashboards researchers check every day. Run the eval harness as a production service — sandboxed execution, tool calling, multi-turn and agentic tasks, deterministic replay, and caching — so a full evaluation pass is cheap and gives the same answer twic

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. The equipment testing engineer needs to deal with online problems, solve them immediately, and respond to superiors in real time. They work in (day/night) shifts to accelerate their understanding of the machines, deploy probe cards and establish the wafer measurement plant that can realize high quality and high-volume output. Ability to apply digital and AI skills to utilize AI-enabled tools for equipment troubleshooting, data analysis, technical documentation, process optimization, and continuous improvement while ensuring responsible use of AI technologies. *Ensures Product Quality · Performs routine particle quals and 6S and TPM · Develop strong relationships with your counterparts in other Micron Fabs as well as the BAT team and/or the central teams. Strive to implement Best Known Methods into your operation. *Operates and Maintains Equipment · Completes and follows checklists completely and accurately where they are required · Performs Tool operation (i.e. can perform manual wafer movements, quals, leak rates tool set up) · Can use specific software screens to perform maintenance procedures · Performs scheduled PM’s on AREA tool sets following appropriate procedures (checklist) with limited direction · Performs minor trouble shooting on specific AREA toolsets (as defined by lead) which results in fixing it the issue *Environmental Health,

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Ni

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Manager, Enterprise Sales to build Hark's commercial partner network. Responsibilities Source, pitch, and close enterprise partnerships with major brands, retailers, and platforms. Own every contract negotiation end to end, from first terms to signature. Build and manage a pipeline from first outreach through close, with clear forecasting. Work with Legal, Product, and Engineering to structure deals Hark can launch and scale fast. Turn what you learn in the market into feedback that shapes Hark's product and commercial strategy. Requirements 5+ years closing deals with large companies, in partnerships, business development, or sales. A track record of sourcing and closing net-new deals yourself, not just managing existing accounts. Strong negotiator who is comfortable owning commercial terms and redlines. Experience selling into retail, e-commerce, travel, or consumer brands. Comfortable working with ambiguity and moving at startup speed. Bonus Qualifications Experience with performance-based or revenue-share partner models. Partnerships experience at a consumer tech, marketplace, or payments company. An existing network across major brands and retailers. Compensation The US base salary range for this full-time

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together, designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Member of Technical Staff (Application Security Engineer) to own the security of the software Hark ships. You'll review design and code, find and fix vulnerabilities in our backend services, mobile apps, and third-party integrations, and build the guardrails that let engineers move fast without shipping bugs. Our agents act on behalf of users across their apps and data, so you'll also be defining how to secure LLM and agent systems, a space with very few established playbooks. This role is hands-on; you'll be reading code, writing fixes, and building tooling, not managing or auditing. Responsibilities Threat-model new features and services, with a focus on agent/LLM attack surfaces (prompt injection, tool misuse, data exfiltration, cross-tenant access). Review code and designs for Hark's backend services (primarily Go), APIs, and mobile apps; fix vulnerabilities directly when it's faster than filing a ticket. Secure authentication, authorization, and session handling across our consumer product, including OAuth integrations with third-party platforms. Build and tune SAST, dependency, and secrets scanning in CI so findings are high-signal and developers actually act on them. Triage and remediate findings from pentests and our

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together, designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're hiring a Member of Technical Staff (Information Security Engineer) to secure the infrastructure and systems Hark runs on. You'll harden our AWS environments, own identity and access across the company, build detection and response, and lead incident response when things go wrong. We run model training, agent sandboxes, and hardware manufacturing pipelines, so the environment is broader and more interesting than a typical SaaS stack. This role is hands-on; you'll be building and operating, not managing or auditing. Responsibilities Harden cloud infrastructure across multiple AWS accounts (IAM, EKS, VPC and network access paths, KMS) and review IaC for misconfigurations. Own identity and access: SSO, least-privilege IAM, just-in-time access, secrets management, and access reviews. Build and maintain detection and alerting pipelines; lead triage, containment, and post-incident review. Secure the corporate environment: endpoint management, SaaS security posture, and zero-trust network access. Evaluate third-party vendors and integrations for security and privacy risk. Build the technical controls and evidence behind our compliance programs (SOC 2, GDPR) as automation, not spreadsheets. Requirements 4–8 years of hands-on security engineer

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The filesystem has emerged as the preferred runtime interface for agentic AI. AI agents use the filesystem for context, memory management, artifact (dashboard, code etc) authoring, version control, sandboxing, and interacting between systems and agents. It is the foundational layer to accelerate AI adoption As a Senior Software Engineer on the Files team, you will innovate at the intersection of storage, performance, and distributed systems, directly shaping our filesystem strategy to power next-generation agentic workloads. The Impact You’ll Have Design, build, and operate the the filesystem platform powering tens of thousands of data, AI and agentic workloads daily Push filesystem performance for the most demanding workloads — profiling and optimizing across the stack, from the API layer down to the Linux kernel Partner with teams across the platform to design and evolve next-generation compute and storage architectures Set the technical direction for how content is organized across Databricks, standardizing around filesystem primitives that apply to every product surface What We’re Looking For Bachelor's degree (or higher) in Computer Science or a related field 5+ years of production-level experience in Java, Scala, C++, Go, Rust, or a similar language 3+ years of experience developing large-scale distributed systems Experience with

RDQ427R365 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” Dashboard team responsible for making Databricks the best product for business users to create, share and consume data insights. We own the entire product stack end-2-end: the Dashboard creation and consumption UI, the query and permissions layer, the control plane for the service, the consumption surface across web, mobile and Desktop as well as the distribution infrastructure across various channels (e-Mail, Mobile, Slack/Teams etc.). At every layer of our stack, we are leveraging AI to change how users interact with and leverage our product in completely new ways to find the answers they need quicker than ever before. We're seeking a dedicated Senior Engineering Manager who will help grow the AI/BI Dashboard product and service platform. This means tackling a number of challenging fullstack and backend problem spaces, for example making agentic dashboard authoring and AI insights fast and performant while maintaining high quality, enabling the creation and consumption of Dashboards and BI features across the entire Databricks platform and scaling our service to the next order of magnitude of users. This role also requires experience in applying AI and LLM technology directly into the product surface and guiding the team to strike a balance between pushing up quality while maintaining performance an

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s comms organization does more than the traditional: we produce films that get shown at festivals, sell over 300,000 books annually, run some of the fastest growing social media channels in tech, write talks and skits for external and internal events attended by thousands of people, build physical machines that track commerce in real-time, create podcasts in pubs, and much more besides. We believe in small, elite, high-taste teams and aim to run a tight operation. Comms Operations is a small, nimble team serving as the connective tissue between strategy and execution. Our mission is simple: we build and redefine the operating foundations that enable the most creative and ambitious storytelling in the world possible. This is not a traditional operations role, and we’re not looking to introduce heavy processes or to eliminate the unpredictability inherent in comms work. Instead, you’ll have a front-row seat in how the Communications team builds and protects Stripe’s brand and influence across the world – and play a pivotal part in designing the flywheel that compounds that impact. What you’ll do We’re looking for an exceptional and ambidextrous early-career operator to help us build and scale this infrastructure. You will work across every altitude, from co-designing high-level team planning mechanisms to managing the granular details of a complex project to ensure that it lands successfully. Some weeks, that might mean redesi

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role At Hark, you'll build the desktop experience that brings our intelligence to where people do their work every day. We're looking for exceptional engineers with deep C++ experience and a background in Chromium or Electron-like application frameworks, who want to shape how a proactive AI lives on the computer. You'll architect and build the native foundations of Hark's desktop app on macOS and Windows, from OS-level integration and system APIs to the features that let Hark see, listen, remember, and act alongside users across their apps and the web. You'll own features end-to-end, work closely with researchers, model engineers, design, and hardware teams, and help define what it feels like to have an intelligent agent built into your desktop. This role is a fit for engineers who thrive in fast-paced environments, take initiative on high-impact problems, and care deeply about building software that is fast, stable, and feels native on every platform. Responsibilities Own features from concept and design through implementation and launch, serving as a desktop and native platform expert on the team. Build the core of Hark's desktop app, while contributing to features across the full stack. Build the native capabilities that make Hark mu

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role As the founding member of the Quality Engineering function, you will architect our quality strategy from the ground up, establishing the frameworks and systems that define how Hark delivers hardware excellence. You will partner deeply with Industrial Design, Product Design, and Supply Chain teams to bridge the gap between design intent and manufacturing feasibility, ensuring every component meets both aesthetic and functional specifications. Responsibilities Strategy & Process: Define, audit, and improve manufacturing quality systems, recommending process improvements to optimize yields. Collaboration: Partner with Design and Manufacturing teams early in the development cycle to audit processes and ensure product requirements are manufacturable at scale. Supplier Partnership: Lead supplier selection and quality audits to ensure our partners can inspect to Hark's rigorous quality standards. Program Ownership: Manage quality schedules, capex, and operational requirements from architecture through production ramp. Global Engagement: Drive on-site supplier quality improvements through regular collaboration (including 30-40% international travel to suppliers). Requirements 5+ years of experience leading quality engineering initiative

About the job Keep the Linux systems behind Graphcore’s engineering and manufacturing work reliable, secure and ready for what comes next. As a Linux and Manufacturing Support Engineer in Taipei, you’ll support the infrastructure our people depend on every day. You’ll solve problems directly, from support requests to complex Linux and network issues. You’ll manage Debian and RedHat environments across bare metal and virtual machines. You’ll also maintain core services, including DNS, DHCP and NFS, while supporting on-premises servers and engineering workflows. You’ll assess and deliver security patching, automate infrastructure changes through Infrastructure-as-Code, and keep technical knowledge clear and current. Your work will span hands-on support and deeper infrastructure challenges, giving you direct ownership of systems that matter. With new projects ahead, you’ll have scope to improve how infrastructure is deployed, supported and maintained. The team and culture You’ll join a multidisciplinary Infrastructure Solutions team where people solve problems together and share technical knowledge openly. You’ll work closely with engineering teams while taking ownership of issues through to resolution. The team moves from diagnosis to action quickly, using evidence and methodical troubleshooting to guide decisions. You’ll be encouraged to speak up, improve established approaches and document what others need to move faster. What we’re looking for · Strong Linux administration skills across Debian and RedHat derivatives, on bare metal and virtual machines · A methodical approach to troubleshooting, with the ability to diagnose and resolve complex technical issues · Strong system administration experience, including responsibility for core infrastructure services · Experience managing Infrastructure-as-Code using Puppet, Ansible or similar, with Git version control · Good networking knowledge, including VLANs, routing and subnetting · Clear communication and customer se

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role As our first Hardware Technical Program Manager, based at our San Jose office, you'll be the technical leader who takes Hark's devices from engineering builds to mass production. You'll sit alongside our product design, electrical, and systems teams in San Jose, and partner closely with our in-region program manager in Asia to land every build at our contract manufacturers and suppliers. This role is part program leader, part hands-on engineer: you'll own schedules and escalations, and you'll also be on the factory floor driving root causes. You'll help shape how Hark builds hardware and grow the TPM team as we scale. Responsibilities Serve as technical leader for manufacturing operations across final assembly and subassembly sites. Drive build preparation and execution with Hark engineering teams in San Jose and our contract manufacturers. Drive supplier, OEM, and CM selection and qualification: RFQs and SOWs, tooling and capex plans, capability studies, capacity and lead-time commitments, and recovery plans. Partner with our in-region program manager in Asia to land every build: fixture and test readiness, DOE plans and data capture, on-the-floor priorities, and a clean escalation path across the U.S.–Asia time gap. Own factory is

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role Hark’s Device Software team is building the test infrastructure that proves our software works on real hardware, and we are looking for a Software Test Engineer to build it with us from the ground up. You will design and build hardware-in-the-loop (HIL) test benches and the software infrastructure to control them, create test cases that run on them, and turn test results into clear, actionable findings. Our automated test suite shall comprehensively cover nearly all aspects of device functionality and performance, ensuring seamless integration across audio, ML, connectivity, and backend services. This is not a hardware validation role: the hardware team proves the hardware, and your job is to prove the software running on it. It is also not app-only or storage test automation. The work happens on physical devices with radios, audio, cameras, sensors, and actuators. Responsibilities Build physical test systems and HIL benches for software verification, starting from zero Develop the test infrastructure and libraries, mostly in Python, that let any engineer run develop and run automated tests on hardware devices Design test strategies from product requirements and build the test cases that produce the quality signals necessary for rapid dep