Array Labs jobs

Data Scientist, Lab & Protein Data Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out the data science layer of Adaptyv's foundry - the work that turns tens of thousands of raw, messy experimental readouts into clean, trustworthy, structured data that our customers, our models, and our own scientists can rely on. Binding (BLI/SPR), developability, biophysical, and functional assays all produce data at scale; your job is to make that

Antenna & RF Front-End Engineer, Amazon Leo Redmond, Washington, USA Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As an Antenna Systems Engineer supporting the development, test, and design of antenna and RF Front-End, you will design, integrate, and characterize antennas and arrays across multiple domains (phased arrays, reflectors, aperture antennas, and other relevant topologies). You will own “ADC-to-antenna” RF performance, collaborating with RF, systems, and calibration teams to deliver high-performance RF systems and links for both space and ground segments. You'll split your time between EM design tools, RF system analysis, and lab validation, working on high volume antenna design from concept to deployment. Key job responsibilities - Design and optimize antenna and array architectures (element selection, lattice, feeding networks, beam-forming strategies) to meet RF system goals. - Own end-to-end RF performance from ADC/DAC through RF front-end to antenna radiation, working closely with RFIC, PA/LNA, and system teams. - Use EM and RF design tools (e.g., HFSS, CST, AWR, or similar) to simulate element/array performance, mutual coupling, scan loss, and pattern characteristics. - Collaborate with calibration, software, DSP, ASIC, and validation teams to define system strategies (array

Thermal Engineer (Starlink) Bastrop, TX SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. THERMAL ENGINEER (STARLINK) At SpaceX, we are applying our expertise in building rockets and spacecraft to create the world's largest and most advanced satellite broadband system. Starlink delivers fast, reliable internet to millions of users through a vertically integrated network of satellites, receiver antennas, lasers, gateways, and sophisticated software. We design, build, test, and operate every part of the system to serve users everywhere on Earth. As a thermal engineer, you are responsible for the thermal design, test, and validation of all Starlink hardware. This includes but is not limited to phased array antennas, custom silicon design for chips, consumer WiFi, and other RF systems to be developed in the future. You will use your skills in thermal analysis to make engineering decisions that improve the performance of Starlink hardware everywhere from remote research labs in Antarctica to Mach 0.7 in-flight. RESPONSIBILITIES: - Thermal system design of next-generation phased arrays, gateways, and consumer wireless products - own every component, part, and interface in the design - Thermal design of semiconductor packages, from high level concepts to detail thermal simulations and lab testing - Devise, build, and run tests to validate the expected performance of the hardware in extreme

Senior Scientist, Synthetic Data Generation 5 Locations posted: Posted 2 Days Ago

RF Design Engineer, Amazon Leo Redmond, Washington, USA Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As an RF Design Engineer working on LEO Phased Array and RF Front-Ends, you will design, integrate, and characterize antennas and arrays across multiple domains (phased arrays, reflectors, aperture antennas, coupling analysis, and other relevant RF areas). You will own "ADC-to-antenna” RF performance, collaborating with RF, systems, antenna, software, and calibration teams to deliver high-performance beams and links for both space and ground segments. You'll be working on 3GPP style systems from 30GHz. You'll split your time between EM design tools, RF system analysis, and lab validation, working on antennas that ship in both satellites and customer terminals. Key job responsibilities - Design over-the-air link models and system performance models using ITU/3GPP style analysis. - Design and optimize antenna and array architectures (element selection, lattice, feeding networks, beam-forming strategies) to meet RF system goals. - Own end-to-end RF performance from ADC/DAC through RF front-end to antenna radiation, working closely with RFIC, PA/LNA, and system teams. - Use EM and RF design tools (e.g., HFSS, CST, AWR, or similar) to simulate element/array performance,

ML Engineer - Experimentation, Portal Cupertino, United States of America At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both customers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone's privacy. Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. The Ads ML Experimentation team is looking for a full-stack ML Engineer to help shape the future of how Apple's advertising systems experiment to connect millions of global users to content from publishers and developers. You'll build intuitive interfaces that transform complex statistical concepts and ML workflows into seamless user experiences, making advanced experimentation and AI accessible to teams across Apple Ads. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. In this role, you will design and build the next generation experimentation platform for the Apple Ads ecosystem. You'll be responsible for transforming complex ML workflows into intuitive web applications. You will introduce AI-powered insights through seamless user interfaces, develop workflows from model training

Machine Learning Scientist - Personalization Science, Apple Media Products Seattle, United States of America Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple's high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. We are looking

Machine Learning Engineer, Apple Services Engineering Seattle, United States of America Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design, build, and deploy machine learning pipelines that personalize the App Store for billions of users worldwide! Prototype, scale, and optimize algorithm improvements. Build robust, large-scale personalized recommender systems for Apps, Games, Videos, Podcasts and Fitness. See your work touch the lives of billions of Apple users worldwide. The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Fitness+. And we do it on a massive scale, meeting Apple's high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple's unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. We are looking for an exceptional Machine Learning Engineer to

Machine Learning Engineer Seattle (WA) posted:

Staff Data Scientist - Experimentation New York City Metro Area, United States of America At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing & supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making. Design and build a new generation of experimentation platform for the Ads Platform organization. Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation. Collaborate with stakeholders and data scientists to design experiments

Staff Applied Scientist, AI Quality & Meta Evaluation Seattle, United States of America Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them. As a Principal Applied Scientist on the Human Centered AI team, you will be the technical engine behind our Data Quality Validation framework. This is a high-impact individual contributor role for a scientist who wants to architect and build - not just advise. You will own the data science methodology underpinning our data quality validation models, design the statistical frameworks that govern judge reliability, and work hands-on to close the loop between automated evaluation and human ground truth. You will be the person who answers the hardest question in our stack: "Can we trust the evaluators that are evaluating our models?" Design, develop, and iterate on the reasoning agent that serves as our adjudicator, auditing Production LLM Judge outputs for hallucination, drift, and systematic bias Develop the statistical and ML approaches that detect when Production LLM Judges diverge from ground truth, including confidence calibration, entropy-based uncertainty quantification, and out-of-distribution detection Define the algorithms that determine what gets routed for deeper review, moving the team from random sampling to principled, risk-stratified smart sampling Design the hierarchical

RF Test Specialist (Starlink) Bastrop, TX SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. RF TEST SPECIALIST (STARLINK) At SpaceX we're leveraging our experience in building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation and is providing fast, reliable internet to millions of users worldwide. We design, build, test, and operate all parts of the system - thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We've only begun to scratch the surface of Starlink's potential global impact and are looking for best-in-class employees to help maximize Starlink's utility for communities and businesses around the globe. As an Electromagnetic Effects RF Test Specialist, you will be responsible for the setup, development and day-to-day operations of SpaceX's Starlink EMC and Radio Compliance test lab. You will ensure that the lab is always fully capable of quickly performing measurements on the Starlink phased array and passive antennas that cover satellite, ground station, and user products. You will also support test development by performing hardware reworks, test setup maintenance, maintaining lab inventory, setup up test configurations, and performing measurements. RESPONSIBILITIES: - Use manual and automated techniques to characterize RF

RF System Engineer, Amazon Leo Redmond, Washington, USA Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. As a Sr. RF Systems Analysis and Design Engineer, you will own end-to-end modeling and performance analysis of complex satellite links and RF sub-system design, spanning modem, RF front-end, phased array, and space/ground channel models. You will build, maintain, and validate system-level link models that drive architecture, hardware requirements, and on-orbit performance, working closely with phased array, RF communications, EMC, and calibration teams. This role blends analytical modeling, software development, and engagement with real hardware to ensure we hit stringent performance targets at scale. Key job responsibilities - Develop and maintain end-to-end RF system and link models (3GPP style link analysis, access, and feeder links), including link budgets, impairment modeling, and performance trade studies. - Perform system-level simulations of digital phased array architectures and RF signal chains, and correlate against lab and field measurements. - Define and flow down system performance requirements (EIRP, G/T, EVM, ACLR, NF, linearity, beam metrics) to hardware, RFIC, antenna, and firmware teams. - Work with modem, waveform, and MAC/PHY teams to optimize the RF system for throughput,

Intern, Protein Design Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. RESPONSIBILITIES - Run and benchmark open-source protein design methods on real Adaptyv targets, validated against experimental data from our wet lab. - Design binders for internal R&D campaigns, and track experimental performance across success rate, hit rate, kinetics, and developability. - Build computational tooling around the design pipeline: structure prediction, filtering, and ranking, to triage large design pools

Optical Networking Research Post-Doc Greece, Athens posted: Posted 2 Days Ago

Lab Assistant 1 Morrisville, NC Expected Travel: Requisition ID: 13905 About Teleflex Incorporated As a global provider of medical technologies, Teleflex is driven by our purpose to improve the health and quality of people's lives. Through our vision to become the most trusted partner in healthcare, we offer a diverse portfolio with solutions in the therapy areas of anesthesia, emergency medicine, interventional cardiology and radiology, surgical, vascular access, and urology. We believe that the potential of great people, purpose-driven innovation, and world-class products can shape the future direction of healthcare. Teleflex is the home of Arrow™, Barrigel™, Deknatel™, LMA™, Pilling™, QuikClot™, Rüsch™, UroLift™ and Weck™ - trusted brands united by a common sense of purpose. At Teleflex, we are empowering the future of healthcare. For more information, please visit teleflex.com. Global Operations - Global Operations is a complex and diverse organization within the company which is responsible for product fulfilment to all our customers from end to end. We pride ourselves on being totally Customer Centric in our unrelenting focus on Improving Quality, Service and Value as perceived by our customers. Our employees are dedicated to the Global Operations Enterprise Excellence journey. Join a dynamic, growing team that offers healthcare providers an array of medical technology solutions that make a difference in patients' lives. Position Summary This role supports day-to-day analytical laboratory operations i

Medical Lab Scientist UNAVAILABLE, UNAVAILABLE, UNAVAILABLE Where You'll Work At St. Anthony Hospital, our Laboratory department is a blood bank that performs testing for our Level 1 Trauma center, as well as sister hospitals in the region. With innovative technology and instruments, our team does a vast array of inhouse testing and specialized coagulation testing. Our culture is comprised of passionate medical technologists who strive for the best patient care and take pride in the work we do. Employees are offered opportunities for growth through apprenticeships, specialty positions, collaboration with nursing and trauma teams, and leadership roles within the department. We also partner with local medical technology programs to help students start their careers. An ideal candidate will be patient centric and passionate about continuing education in the medical technology field so our department can continue to thrive! Located in Lakewood, Colorado, St. Anthony Hospital is a Level I Trauma Center where we provide a full range of medical specialties and health care services to Denver and the surrounding region through our state-of-the-art medical campus and home base for Flight For Life Colorado. With four trauma rooms including the T-10 room, a dedicated field-to-surgery suite ready 24/7 for trauma surgeons and specially trained teams, our staff can provide life-saving care to the most severely ill and injured patients. In 2023, we received our exciting Magnet designation! We are so proud of our staff for this achievement, which is a

Principal ML Investigator Sunnyvale, CA 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 Cerebras is adding an ML team that can focus on a new ML effort that can align with existing teams. We are seeking a principal investigator who will partner with our ML leaders to formulate the new effort and to build up the new team and capabilities. This new team would coordinate with our current ML teams: Field ML, which works directly with customers, Applied ML, which builds new ML capabilities and applications for customers, and Core ML, which adapts ML algorithms to find

On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is looking for an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware. We're building

Optical Test Engineer, Tech Lead San Jose, California, United States Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . We are seeking a world-class Senior Staff to Principal Optical Test Engineer to lead the development and execution of advanced test strategies for Co-Packaged Optics (CPO) solutions. This senior role drives optical and electro-optical testing for next-generation high-bandwidth CPO modules and optical engines integrated with ASICs for AI, hyperscale data centers, and high-performance computing. You will architect test methodologies, develop hardware/software platforms, and enable high-volume manufacturing while ensuring world-class performance, reliability, and yield. This is a high-impact technical leadership position at the forefront of silicon photonics and co-packaged optics innovation. Key Responsibilities - Lead the definition, development, and qualification of comprehensive test solutions for CPO optical engines, including wafer-level, die-level, package-level, and system-level testing. - Design and implement optical test hardware and automation systems (e.g., active alignment, fiber array attachment, high-speed optical I/O characterization). - Develop test programs and methodologies for key photonic parameters: insertion loss, eye

Executive Sales Specialist Arrays - LATAM 3 Locations posted: Posted 11 Days Ago

Scientist, Cell-Based & Functional Assays Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE You'll build out cell-based and functional assays at Adaptyv - the work that proves an antibody or protein actually does something: activates or blocks a receptor, triggers signaling, kills a cell, or modulates an immune response. Cell activation assays, reporter systems, potency assays, and antibody functional readouts are the heart of this role. This is the most interdisciplinary of

On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for machine learning innovation. We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. This team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding modern architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, supplying to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is seeking an ML

Program Manager 1 - Solar Arrays United States-California-Goleta