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Immediate Opportunities: Full-time Class A Doubles CDL Truck Drivers • Earn $38.56 per hour, • $50 per diem when laying over, • Overtime after 8 hours in a day, • Heavy touch freight, • Regional travel required What you will do: • This position requires the driver to travel regionally, • Perform multi-stop deliveries and unload trailer by hand throwing tires, • Perform backhaul pickups and deliveries as needed, • Use scanner to scan products as they are unloaded and delivered Schedule: • Dispatch times will vary depending on work assignment, • Drivers can expect 2 to 3 layovers per week You will drive: • Late model, Penske maintained trucks, • Best-in-class specs designed for comfort and safety, • Equipped with inward and outward facing in-cab cameras helping to ensure safety for all Comprehensive benefits package includes : • Paid vacation and holidays day 1, • Generous retirement benefits, • Excellent health care coverage-medical, dental, and vision, • Short and long-term disability; life and AD&D insurance, • Company-provided uniforms and safety footwear, • Employee discount benefit program, • Driver referral bonus program up to $5000 per referral, • Safety incentive program, • Premier Driver Recognition Program Our excellent benefits plan keeps associates and their families happy, healthy, and secure. To learn more visit Why Penske? Ready to put your truck-driving career in high gear? Make the shift and fuel your career as a CDL Class A Truck Driver for Penske. When you join Penske, you join a team of professional truck drivers committed to delivering products safely and on time. And we’re proud to haul freight for some of the world’s leading brands. (Yes, we’re more than just the yellow trucks.) But it’s more than that. It’s about incredible customer service and building relationships with your accounts. When you drive for Penske, you’re representing Penske, but you’re also representing your clients. In fact, you’ll probably be driving their branded trucks and wearing their uniform. You’ll be on the move with Penske and so will your career. We have tons of training opportunities for you. And with locations across the nation, you can also move to a new city. Best of all, you’ll be with a stable, nationwide company that is known for having the best equipment, great management, clear communication and a fantastic safety record. We pay every Friday. Are you ready to take it to the next level? Come drive for Penske. Qualifications: • Valid Class A CDL required. Applicants must be domiciled in the U.S. and licensed in their state of residence, • Currently hold, or ability to obtain, a non-excepted interstate DOT medical card required, • 1 year of documented tractor-trailer experience in the last 3 years required, or 2 years of documented tractor-trailer experience in the last 5 years, • 3 years DMV/MVR record with two or fewer moving violations or accidents, • Follow all federal and/or state laws, regulations, and/or agency rules, standards and guidelines, • Regular, predictable, full attendance is an essential function of the job, • In order to be compliant with federal law (49 C.F.R. 391.11(b)(2)), this role requires English language proficiency., • Work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening required, • This position is regulated by the Department of Transportation or designated as safety sensitive by the company, and the ability to work in a constant state of alertness and in a safe manner is required. Associates must have the ability to accept responsibility for their own safety, as well as the safety of others. Physical Requirements: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must be able to see and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus., • While performing the duties of this job, the associate will be required to move frequently, stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to regularly lift and/or move up to 50lbs/23kg and occasionally lift and/or move up to 100lbs/45kg., • The associate must be able to legally operate a motor vehicle and safely and frequently enter/exit the vehicle as well as the rear cargo area. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Driver Job Family: Drivers Address: 2380 Lafayette Street Primary Location: US-CA-Santa Clara Employer: Penske Logistics LLC Req ID: 2513463

Job Description Are you looking for a meaningful role in behavioral health and have the desire to work with an organization that puts people first? If you have a passion for helping others along their recovery journey, then we invite you to join our Crestwood family! For more than 50+ years Crestwood has been committed to creating innovative recovery programs and developing compassionate communities that support each client in their journey. Our model of care focuses on a personal and self-directed process that empowers the people we serve and helps them to develop the skills to thrive! Title: Director of Recreation Job Duties: The role of the Director of Recreation is to create and lead the recreational program with recreational activities, hobby & interest building, physical activities, and other events & holidays throughout the year. In our holistic approach, recreation is just one facet of the wellness of our clients, along with behavioral skill building, medication support, dietary teaching, and pre-vocational training. Our overall goal is to support our clients to create lives worth living and be successful as independents in their community. Schedule: Full Time Qualifications: • Must have a bachelor's degree as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must be registered or eligible for registration as an occupational therapist, music therapist, dance therapist, art therapist, or recreation therapist., • Must have a valid California driver's license., • A current CPR certification is preferred., • Medical, Dental, and Vision Coverage, • Life Insurance, • Vacation, • Paid Sick Leave, • Sick Leave Buy Back, • 401(k) Retirement, • Scholarship Program, • Qualifying Supervision for BBS Associates, • Competitive Pay, • Paid Holidays, • Service Awards Did you know that at Crestwood you can gain experience at one of California's leading behavioral health service providers? We deliver industry leading education and training that allows our team members to succeed and continue to grow their careers with Crestwood. Check out our Career Page to learn more about being a part the Crestwood Family and the benefits available. Crestwood is proud to be an Equal Opportunity Employer that is committed to inclusion, equity and diversity. We embrace all differences and are fully committed to fostering a sense of belonging for everyone. We also take affirmative action to offer employment and advancement opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, veteran status, sexual orientation, pregnancy, marital status, gender identity or expression, or any other characteristic protected by federal, state, or local laws. If you need assistance and/or a reasonable accommodation due to ability during the application or recruiting process, please talk with your hiring contact/recruiter or send a request to . Employment is contingent upon successful completion of a background investigation including criminal history and identity check. Pursuant to the California Consumer Privacy Act (CCPA), please review this link to provide information on how we collect and use your data. Crestwood is required to participate in the E-Verify program. To learn more, please see: E-Verify Participation, Right to Work notices, or visit .

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70-billion-euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from Bosch AI research in Silicon Valley, we are responsible for pushing the boundaries of GenAI and foundation models through key innovations to solve complex industry problems, and shape the future user experience of Bosch products for both internal and external users in the fields of AI agent, 3D Vision, Advanced Driver Assistance Systems, etc. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI and CoRL. Job Description In this internship, you will conduct research on Large Language Model (LLM) and Agentic AI to address academic and industrial challenges. A few of your key responsibilities will include: • Collaborate with mentors and other colleagues to integrate the developed methods into prototype systems for Bosch applications such as AI agents, RAG, engineering assistance, information extraction, etc., • Summarize research findings in high-quality NLP conference papers (e.g., ACL, EMNLP, NAACL, AAAI, NeurIPS) and/or patent submissions. Qualifications Basic Qualifications • Currently enrolled and pursing a Ph.D. or Master in Computer Science or Computer Engineering, • Strong research experience in natural language processing, machine learning, and related fields., • Hands-on experience on large language models, including training, fine-tuning, and prompting., • Hands-on experience on state-of-the-art NLP / AI libraries and toolkits, • Good communication and team-working skills, • Publication record in top NLP or machine learning venues (e. g. ACL, EMNLP, AAAI, NAACL, TACL)., • R&D experiences on LLM based agents, task planning / decomposition, and reasoning., • R&D experiences on retrieval-augmented generation., • R&D experiences on multi-modal foundation models., • R&D experiences on reinforcement learning Additional Information The U.S. base salary range for this intern position is $39.00 - $64.00. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.* BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives · FIRST Robotics (For Inspiration and Recognition of Science and Technology) · AWIM (A World In Motion) Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on implementing and training deep neural networks, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities: • Design and run evaluations to measure model’s capabilities., • Write efficient and clean code to build evaluation pipeline., • Share your findings to help model development and data annotation guidelines.You may be a good fit if you have:, • Experience in prompt engineering or other ways to interact with large language models., • Experience in data analysis, familiar with data processing and visualization tools.Strong candidates may also have:, • Proficiency in at least one deep learning framework, such as PyTorch., • Think out of box, can find solutions to ambiguously scoped problems., • Ability to summarize results, clearly communicate the observations in your work., • Participated in research projects on model evaluation or related topics.

Job DescriptionBoson AI is an early-stage startup building large language tools for everyone to use. Our founders (Alex Smola,Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language and beyond. We are seeking research scientists and engineers to join our team full-time in our Santa Clara office. As part of your role, you will work on designing model architectures, proposing new loss objectives, and improving generative multimodal models to a new level. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI. We encourage you to apply even if you do not believe you meet every single qualification. As long as you are motivated to learn and join the development of foundation models, we’d love to chat.Responsibilities • Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data., • Build diverse datasets to support multimodality learning, including data collection and processing., • Develop new evaluation pipelines to adapt to various forms of generative outputs.You may be a good fit if you have:, • Experience in writing clean and efficient codeMaster or Doctoral degree in computer science or equivalent., • Proficiency in at least one deep learning framework, such as PyTorch or JAX., • Participated in at least 1 research project related to multimodality learning.Strong candidates may also have:, • Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.), • Experience in document understanding (e.g., layout analysis, structured data extraction, OCR)., • Experience in audio transcribe, diarization, audio generation, etc. Active Github contributions are a big plus.

Job Description About NewsBreak Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit Location: Onsite 5 days in Mountain View, CA office About the Role We are seeking a talented Multimodal Machine Learning Engineer to join our fast-growing machine learning team. Our company develops a range of products that leverage multimodal signals—including audio, video, text, and images—to deliver cutting-edge AI-powered experiences. As part of our team, you will play a crucial role in advancing machine learning and generative AI technologies to enhance user engagement and drive innovation across our products. With strong organizational support, a clear vision, and a vast scope of impact, this role provides the opportunity to tackle real-world challenges, pioneer transformative solutions, and shape the future of multimodal AI. We foster a dynamic and collaborative research environment that encourages innovation with state-of-the-art technologies and novel ideas. If you're passionate about pushing the boundaries of AI and multimodal learning, we invite you to be a part of our journey. Responsibilities • Design and develop state-of-the-art multimodal AI solutions for understanding and generating content across video, image, audio/speech., • Create innovative technologies to improve automated content generation for multiple modalities., • Contribute to the development of new AI-driven products and tools that push the boundaries of multimodal machine learning.Requirements, • MS degree with 2+ years of experience or a PhD in Computer Science, Machine Learning, or a related field., • Strong background in machine learning technologies, such as Large Language Models, Diffusion Model, Computer Vision, Video Processing, Audio/Speech Processing., • Proficiency in programming languages such as Python., • Familiarity with databases and data storage solutions like MongoDB, Redis, and SQL., • A strong passion for emerging technologies, with demonstrated analytical and problem-solving abilities., • Excellent communication, teamwork, and project management skills.Preferred, • A proven research record, including publications in top machine learning/AI transactions/conference.Why Join Us?, • Work on impactful, cutting-edge technologies that reach tens of millions of users., • Collaborate with a team of passionate AI researchers and engineers., • Health, dental, and vision care for you and your family (100% coverage for employee), • Top-tier 401(K) plan with company matching, • Paid time off and paid holidays, • FSA, HSA and commuter benefits programs

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!Responsibilities: • Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale., • Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks., • Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability., • Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure., • Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems., • Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform., • Mentor junior engineers and contribute to a culture of technical excellence, • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts., • Ensure team compliance with QMS, monitor quality, and drive process improvements.Required Skills:, • Phd or MS in Computer Science, Electrical Engineering, or related field, • Good oral and written communication skills, • Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems., • Proficiency in in Python, C++, SQL, • Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow), • Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments), • Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect)., • Strong knowledge of distributed systems, databases, and storage solutions., • Extensive software design and development skills., • Ability to learn and adapt to new technologies and contribute in a productive environment.Preferred Skills:, • Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models, • Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray

Job DescriptionAt Array Labs, we are building the world’s most advanced radar imaging satellites to produce an accurate, continuously updated 3D map of the Earth — providing governments and commercial organizations with critical insights into the physical world. We design and build our entire radar system in-house, from antenna panels and RF front-ends to digital electronics, calibration systems, and data processing. This gives us direct control over the electrical, thermal, and mechanical constraints that determine radar performance and system reliability. As a Board Design Engineer, you will design, lay out, and validate the printed circuit assemblies that power Array’s radar payloads and on-orbit processing systems. Your work will span high-density digital and mixed-signal designs, power regulation modules, RF-interfaces, and compute hardware operating under the constraints of small satellite platforms. You will take boards from schematic through layout, manufacturing, bring-up, and qualification, working closely with RF, antenna, digital, mechanical, and systems engineers. The boards you develop will directly influence Array’s signal integrity, processing throughput, thermal behavior, and overall radar system capability. As part of our quickly growing engineering team, you will play a critical role in building the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet. Responsibilities: • Develop advanced electronic platforms, from architecture to manufacturing, • Work closely with software, firmware, RF, antenna, digital, and mechanical design engineers to design and validate state-of-the-art spacecraft electronics, • Create requirements, perform system trades, select components, capture schematics, design complex electronic assemblies and manage manufacturing, • Lead prototyping, hardware bring-up, debug, manufacturing, and test campaigns., • Rapidly iterate on and improve electronic designs based on laboratory, environmental and on-orbit testingBasic Qualifications:, • Experience in board design and layout, • Experience in electronics manufacture, bring-up, and test, • Excellent teamwork and communication skills, • Learns new concepts rapidly, completely, and in a self-directed manner, • High levels of self-motivation and personal accountability, • Ability to work in a fast-paced environment under significant time constraintsPreferred Skills and Experience:, • Bachelor in electrical engineering, or a related field, • 4+ years of electrical engineering work experience with full-life cycle development (concept to production) of consumer electronics, power electronics, communications, automotive, aerospace, and/or robotics, • Background in high-speed board design, simulation, and validation techniques including PCB stack-up, PCB fabrication, floorplanning, component selection, placement and routing, simulation and measurement, • Hands-on experience laying out high-performance platforms including compute (SoCs, FPGAs, MCUs), storage (DDR, SSDs), high-speed interfaces (PCIe, SPI, JESD204B), RF components (PAs, LNAs, switches), • Expertise in signal and power integrity simulation and measurement, • Hands-on experience with test equipment such as oscilloscopes and network analyzersITAR Requirements:, • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status. Interview ProcessWe will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish. Hiring and Compensation StrategyOur hiring and compensation strategy is simple:

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities: Data Infrastructure & Pipelines • Design, implement, and maintain scalable video data pipelines to support large-scale training., • Develop data preprocessing, transformation, and synthesis workflows to support world model training., • Contribute to building high-quality data annotation pipelines to ensure accurate and consistent labels across large-scale datasets. Key Responsibilities: Training & Inference Systems, • Support the training of multimodal foundation models (e.g., video diffusion models, world models) by developing and optimizing distributed training systems., • Improve inference and serving efficiency for real-time interaction through model optimization and system tuning., • Monitor system health and performance, and contribute to debugging and optimization at scale. Key Responsibilities: Collaboration & Integration, • Work closely with research teams to understand experimental goals and translate ideas into reliable and maintainable infrastructure and tools., • Integrate novel research prototypes into production-ready systems and ensure reproducibility at scale., • Participate in design and code reviews, ensuring code quality, efficiency, and compliance with best practices. Key Responsibilities: Benchmarking & Evaluation, • Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks, including metrics for physical accuracy and controllability. Key Responsibilities: Codebase & Documentation, • Maintain and extend shared codebases, contribute to internal documentation, and support onboarding of new team members or collaborators., • Write clean, efficient, and well-tested code for components across the model development lifecycle. Key Responsibilities, • Support contributions to research papers and demos when engineering work plays a significant role., • Help represent the team’s engineering excellence in internal and external forums when appropriate. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience Required, • Proficient in data collection, cleaning, and transformation at scale, including designing robust pipelines for multimodal datasets (e.g., video, audio, text)., • Practical experience with web scraping and crawling frameworks (e.g., scrapy, selenium, playwright, BeautifulSoup) to collect and curate high-quality web-scale datasets., • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork.

Job Description About Meshy Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1. Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV. • No. 1 popularity, among 3D AI tools, according to A16Z games,, • No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),, • Leading 3D foundation model, delighted texture & fine geometry,, • $52M funding by Top VCs,, • Build, launch, and iterate on full-stack product features that drive user and business growth, • Design and implement experiments to validate growth hypotheses quickly and efficiently, • Collaborate closely with product, design, data, and marketing teams to identify opportunities and deliver impactful solutions, • Optimize critical funnels (e.g. onboarding, conversion, activation) through instrumentation and iteration, • Contribute to our internal growth tooling and experimentation infrastructure, • Translate business insights and user feedback into scalable engineering solutionsWhat we are looking for, • Have 3+ years of software engineering experience in full-stack or product-facing roles, • Are proficient in JavaScript or Go, and modern product development practices, • Have strong product instincts and enjoy collaborating on user-facing features, • Are curious about how products grow, and excited by the idea of solving problems with both code and creativity, • Are comfortable with experimentation, and understand that not everything you ship will succeed — but every iteration teaches you something, • Write clean, maintainable code and move fast, • Fluent with modern AI dev (Cursor/Claude) toolsNice-to-Haves, • Experience working on SaaS products, especially those with self-serve or PLG motion, • Familiarity with A/B testing, funnel analysis, or product analytics tools (e.g. Amplitude, Mixpanel), • Experience implementing or consuming event tracking pipelines, • Some exposure to SQL or other data querying tools, • Previous experience in a startup or fast-paced, cross-functional environmentOur Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Competitive salary, benefits and stock options., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. As a member of the Logging and Reporting group, you will be responsible for designing and developing security features on the next-generation firewall platform integrating with our security services cloud. You will work with product management on user requirements, apply your knowledge to functional design, utilize your programming skills for efficient and robust implementation, and interact with quality assurance and field support teams throughout the entire software development cycle. Your Impact * Design, develop and execute test automation/manual to test software features on our next-generation security platforms * Develop functional specifications, assess task requirements and scheduling, and participate in development, debug and support * Become inventive in testing approaches by building tools and automation scripts * Suggest and implement improvements to the test process * File bugs and work with Development to fix issues seen * Mix in your creative skills with a focused testing approach to produce the best quality products in cybersecurity * Be involved in a rigorous approach to testing for specifications, assist the team with testing methods or tools for new testing * You will also have the chance to work on different public cloud platforms (AWS, GCP, Azure) to automate cloud orchestration, visualization and alerting mechanisms * Interview, mentor and coach new team members Qualifications Required Skills & Experience: * Testing, Test Automation & Frameworks: * Proven experience in designing and implementing test automation methodologies, tools, and frameworks. * Expert level experience with REST API driven Automation using Python. * Be proficient in one or more scripting/programming languages including Python or Go * Hands-on experience with UI automation frameworks (Selenium, Cypress, Playwright etc) * Experience with Pytest * AI-Driven Testing & Development * Practical experience using AI-based tools to accelerate coding, test generation, debugging, and refactoring * A demonstrated passion for researching and applying innovative, AI-based testing methodologies to improve engineering productivity. * Networking Knowledge & Security * Experience with TCP/IP Networking and Network Security is highly desirable * Experience in three or more areas IPSec, BGP, L3 VPNs, HTTP, DNS, DHCP, TCP, UDP and SSL * Experience/Strong understanding in Logging (CDL is plus) and Report Generation * Experienced with a variety of database technologies (Mysql / ElasticSearch) * Experience with Linux or Esxi Virtualization or Docker/Kubernetes is a plus Educational Qualification: * BS or MS in Computer Engineering or a related technical field * Minimum of 10+ years’ experience in software development Additional Information The Team Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147,000/yr to $225,500/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job Description Special Education Teacher About Morgan Autism Center Morgan Autism Center provides a safe, nurturing, and joyful environment where individuals impacted by autism or other developmental disabilities are accepted and celebrated for who they are. Founded in 1969, the focus is on creating respectful and positive interactions to maximize the potential of each student and client. Morgan Autism Center offers school and adult day programs and is an important resource for families and professional service providers throughout the Bay Area. Their flexible, comprehensive, and highly individualized approach has evolved into a model successfully adopted and implemented in located school districts. For more information, please visit Position Overview The Special Education Teacher is responsible for the management of their classroom including student and staff management. They design and implement curriculum, student individualized education plans (IEPs), behavior plans, and collaborate closely with parents and other members of the program team including instructional aides, speech therapists, occupational therapists and administration. Reporting Relationships This position reports directly to a School Program Director Key Responsibilities Classroom Structure, Curriculum, and Organization • Design and implement enriching and meaningful curriculum and activities focused on functional skills while addressing each student’s IEP goals (community outings, art projects, cooking, special activities), • Support classroom team in maintaining ongoing data tracking systems regarding behavior, goal progress, and any other areas needed for all students and provide quarterly progress reports, • Design and maintain effective physical and program organization in alignment with the Morgan Autism Center Model (e.g., daily schedules for students and staff, daily/weekly routines, 15-minute rotation model, and other classroom systems), • Support all students and staff in use of multi-modal communication strategies (e.g., visual first-then schedules, task analyses, social stories, daily schedules, AAC devices, basic sign language, and any other supports needed), • Provide ongoing support and teaching for all activities of daily living (e.g., toileting, personal hygiene, maintaining safety, and other areas as needed), • Maintain and demonstrate the MAC model of positivity, compassion, and collaboration at all times, • Direct participation in all daily activities, including physical education, community outings, special events, art, music, etc., • Supervise, coach and manage (including training and evaluations) a team of 7 - 8 instructional aides in executing program model and philosophy, • Model and maintain a healthy and effective team dynamic among classroom staff, • Train and/or assist in training of classroom staff, • All program development, student supports planning and implementation must align with the philosophy of the Morgan Autism Center model, • Develop and implement all IEPs for each student on their caseload (e.g., annual, triennial, transition, exit, etc.) in collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), • Design and implement effective behavior intervention plans for all students, based on analysis of recorded data, • Conduct pre-IEP meetings with parents and service providers to discuss direction and development of IEP prior to district IEP meeting, • Maintain consistent and thorough communication and collaboration with all IEP team members (parents, group home, OT, SLP, admin, etc.), including individualized daily communication to classroom parents, • Maintain professional relationships with school districts, regional centers and other professional agencies, • Attend and participate in training on the Morgan Autism Center Model, • Attend all in-services provided by Morgan Autism Center, • Attend additional trainings upon requestExperience and Requirements, • Current Education Specialist Credential (moderate to severe), • Ability to read and write English at a professionally appropriate level, • Ability to navigate pertinent technology (e.g., computers, tablets, Boardmaker, etc.), • Ability to physically engage with all elements of programming (e.g., daily PE, vocational tasks, physical support for students, etc.) Salary and Position Classification • Exempt Position, • Full-Time, • Medical, Dental, Vision (Employee paid 100%), • Life Insurance and Long-Term Disability., • Monday to Friday (8:15 AM - 3:30 PM), • 210 workdays DEI Statement It is Morgan Autism Center’s intent to provide equal employment opportunities to all qualified persons without regard to race, color, religion, sex, gender identity and expression, genetic characteristics, pregnancy, marital status, veteran status, sexual orientation, age, national origin, ancestry, disability, medical condition, or other protected class status as defined by applicable law. This policy covers all employment matters, including but not limited to recruitment, selection, placement, promotions, transfers, demotions, terminations, training and compensation. Powered by JazzHR kgPbqqdzLu

Job Description The Market Has Changed. Has Your Brokerage? The real estate landscape is evolving at an unprecedented rate. Strategies that were effective just a year ago are now outdated, leaving agents relying on obsolete models feeling the pressure. If you're ready to thrive rather than merely survive, PRG Real Estate offers a proven path forward. At PRG, we don't just keep pace with the industry—we set the standard. Supported by elite channel partnerships and state-of-the-art systems, we empower our agents with the tools they need to succeed, regardless of market conditions. Why Top Agents Choose PRG Real Estate: 10–15 Warm Showing Listing Opportunities Monthly We don't just promise leads—we deliver genuine opportunities. These are motivated buyers and sellers actively scheduling appointments and ready to proceed. Inside Sales Agents Setting Appointments for you We have a team of inside sales agents who are follow up with leads and booking appointments on your behalf. Access to our Database with Over 40,000 Contacts We have built up a huge database of buyer and seller prospects who raise their hand everyday to speak to an agent. You get access to these. Earn $150k+ with a Clear, Scalable Model You'll have access to leads, systems, and coaching to build a six-figure business—without the guesswork. Most agents open 1–3 escrows per month within their first 90 days. Proven Partnerships That Keep You Busy As a preferred partner of Zillow Flex, Zillow Seller Connections, Realtor.com, Opendoor, and Redfin, we provide you with premium opportunities daily. Full-Time Support So You Can Focus on Selling Our dedicated back office manages the admin, marketing, and transaction processes, allowing you to focus on what you do best—closing deals. World-Class Tools Training Access our comprehensive tech stack: CRM, lead management, transaction software, marketing support, KPI tracking, and high-level sales training from day one. Culture of Excellence This isn't just a team—it's a movement. PRG agents operate with focus, accountability, and high energy. We win together, learn together, and grow fast. Our Results Speak for Themselves: • Hundreds of transactions closed annually from online lead sources, outbound marketing, open houses, and a 40,000+ contact database, • A consistent track record of agents achieving six-figure incomes—without burnout The agents succeeding in today's market aren't working harder—they're working smarter, with the right support, systems, and partners. Let's discuss how PRG can elevate your business. Schedule a quick discovery call—we believe you'll be glad you did. Job Type: Full-time Pay: $48,226.91 - $196,492.21 per year Benefits: Flexible schedule Schedule: Monday to Friday Self-determined schedule Weekend availability Supplemental pay types: Bonus pay Commission pay

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We're seeking innovators - software engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. As a key member of the Next-Gen Firewall (NGFW) System Infrastructure and Platform Security team, you will be responsible for designing and developing high performance and scalable core systems and building industry leading platform security for NGFW, which powers all next-gen firewall products at Palo Alto Networks. You will be part of a world-class multi-functional software engineering team that works on various ground-breaking technologies. Your Impact • Innovate, design, and develop core system infrastructure (e.g. IPC infrastructure, clustering, HA, software upgrade, OS/Kernel) and security infrastructure/services., • Contribute in all phases of the software development cycle, from definition, design, through implementation and test, • Develop functional specifications, assess task requirements and scheduling, and contribute to development, debugging and support, • Identify and drive improvements in existing software and development processQualifications Your Experience • 8+ years experience in embedded programming, infrastructure, security, Linux kernel/OS, and platform software, • Experience developing, integrating and delivering product features or system components on Linux-based systems, • Expertise in security such as OS/application security, secure boot, software/file/data integrity, access control (e.g.SeLinux), PQC, IMA, Intrusion Detection/reporting/auditing/remediation, VM/container security, etc,, • Strong C/C++ coding/debugging skills, • Strong scripting skills with bash and python, • Experience with OS, Clustering and HA is a plus, • Experience with improving performance/scale, memory usage and boot-time s is a plus, • Strong verbal and written communication skills to work with multi-functional groups, • B.S. or M.S. degree in Computer Science, similar technical discipline or equivalent practical experience or equivalent military experience required Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about creating products to solve problems no one has tackled before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147,000 - $220,000/YR The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the Role We're looking for an Infrastructure Engineer to help us design, build, and scale the foundational architecture that powers our next-generation AI systems. This role is ideal for someone who thrives in a fast-paced, engineering-driven environment and finds joy in creating robust, elegant systems from scratch. What You'll Do: • Build and maintain stable, scalable, and highly available compute infrastructure, spanning cloud (AWS) and bare metal environments., • Design and operate efficient storage solutions for large-scale AI training datasets and checkpoints., • Develop high-performance online inference systems, optimizing for diverse GPU environments (e.g., H100, B200)., • Automate infra workflows to maximize reliability, observability, and performance across our platform., • Collaborate closely with AI researchers and backend engineers to support evolving model deployment and experimentation needs., • Lead and contribute to internal tooling, CI/CD pipelines (e.g., GitHub Actions), and monitoring infrastructure (e.g., Grafana, Prometheus, OpenTelemetry).What We're Looking For (Intermediate):, • Strong communication skills and a collaborative, self-motivated mindset., • Hands-on experience with AWS services (e.g., EC2, S3, EKS, IAM, RDS, CloudFront)., • Familiar with Kubernetes in daily operations., • Programming ability in Python.What We're Looking For (Senior):, • Strong communication skills and a collaborative, self-motivated mindset., • 3 years+ of experience in DevOps / SRE / Infra., • Strong programming ability in Python or Golang (must be proficient in at least one)., • Production-level experience with Kubernetes in daily operations., • Deep understanding of modern DevOps / SRE / Infra principles, especially around scalability, automation, and fault-tolerance., • Hands-on experience with AWS services (e.g., EC2, S3, EKS, IAM, RDS, CloudFront)., • Ability to work independently, lead projects, and become a subject matter expert.Nice to Have:, • A tinkerer's spirit - you enjoy hacking, experimenting, and building things for fun or learning. Examples we value:, • Running your own home lab or mini data center., • Building clever side projects or open-source tools., • Writing high-quality technical articles or contributing to public repos., • Developing lightweight, efficient tooling for infra monitoring or ops., • Contributions to the open-source community or prior experience maintaining open/closed source systems., • Familiarity with model training workflows (e.g., LLMs, GPUs, large data IO)., • Interest in working directly with AI researchers and understanding model performance trade-offs., • Located in or near one of our employee hubs — Bay Area, CA; Seattle, WA; New York, NY (NJ); Vancouver or Toronto, Canada. Our Values • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Stock options available for core team members., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionWho You AreYou are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently. You have deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in "the scaling law". You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues. You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.Who We AreAt Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games survey), and we generate real value and is used by enterprises (including Meta, Square Enix, Deepmind, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.Your next challengeAs a core member of the team of research scientists and machine learning engineers at Meshy, you will drive the development of our core 3D-native generative foundational model. In this role, you will join our foundational research to advance 3D AI, apply learnings from other fields of ML, and pushing the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.The essential functions include, but are not limited to the following: • Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning., • Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation., • Create novel model architectures to make 3D generation faster, higher-quality, and more controllable., • Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments., • Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team., • Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI.What We're Looking For, • Strong engineering skills in Python and deep learning frameworks (preferably PyTorch); comfortable moving between research prototypes and production systems., • Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.)., • Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds., • Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus., • Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus.A Little More about meshy.aiTrusted by Meta, Square Enix, Deepmind and more, Meshy is redefining 3D creation with generative AI. We empower artists, designers, engineers, hobbyists, and makers to bring immersive worlds, characters, and experiences to reality in minutes instead of months.In addition to our core mission of unleashing creativity, we build a culture that we enjoy and are proud of. Here are some highlights:, • We value intelligence and the pursuit of knowledge. We are a global team of generative-AI pioneers, computer-graphics veterans, and product builders who believe human expression and enjoyment is the ultimate frontier of computing., • We care deeply about our work, our users, and each other. Empathy and passion drive us forward. We have a culture of directness and truthfulness, therefore we value constructive criticism. Being direct and truthful is the most sincere form of trust and care., • We trust our instincts and are not afraid to take bold risks. Meshy was born from a few-hour prototype, a bold pivot for a team that had very little experience in AI. Innovation requires courage., • We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. The same aesthetics permeate through our culture, our code and are the same: functional and beautiful.Locations and work environmentPersons in these roles preferably should be able to spend part of their time on-site in our Sunnyvale HQ. On-site requirements vary based on position and team, and we support fully remote options for exceptional candidates. We also have employees in Seattle, Boston, NY, Toronto, etc. If you have questions about hybrid or remote work arrangements for this role, please ask your recruiter.We are a fast paced startup and we work hard. You need to be able to:, • communicate information and ideas so others will understand., • observe details at close range., • work under deadlines.Interview process, • You will first be contacted by our recruiter., • Soon afterwards, you will receive an online assessment on some theory questions and some simple numpy coding questions., • We will then schedule a 45 minutes - 2 hr interview slot for a technical coding round. The questions will revolve around tensor / array programming in PyTorch & some practical hands-on training exercise in our GPU-enabled jupyter notebook., • Finally, you will be invited for a 3 hr onsite interview where we'd like you to present a previous work that you are proud of, then you will demonstrate your learning skills and versatility in a peer paper-reading & implementation session with one of our researchers. Finally, you will talk to one of our leaders and our CEO about our culture, your background, and whether we have matching vibes.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are looking for a Principal MLOps Engineer to lead the design, development, and operation of production-grade machine learning infrastructure at scale. In this role, you will architect robust pipelines, deploy and monitor ML models, and ensure reliability, reproducibility, and governance across our AI/ML ecosystem. You will work at the intersection of ML, DevOps, and cloud systems, enabling our teams to accelerate experimentation while ensuring secure, efficient, and compliant deployments. This role is located at our dynamic Santa Clara California headquarters campus, and in office 3 days a week. Not a remote role. Your Impact • End-to-End ML Architecture and Delivery Ownership: Architect, design, and lead the implementation of the entire ML lifecycle. This includes ML model development and deployment workflows that seamlessly transition models from initial experimentation/development to complex cloud and hybrid production environments., • Operationalize Models at Scale: Develop and maintain highly automated, resilient systems that enable the continuous training, rigorous testing, deployment, real-time monitoring, and robust rollback of machine learning models in production, ensuring performance meets massive scale demands., • Ensure Reliability and Governance: Establish and enforce state-of-the-art practices for model versioning, reproducibility, auditing, lineage tracking, and compliance across the entire model inventory., • Drive Advanced Observability & Monitoring: Develop comprehensive, real-time monitoring, alerting, and logging solutions focused on deep operational health, model performance analysis (e.g., drift detection), and business metric impact., • Champion Automation & Efficiency: Act as the primary driver for efficiency, pioneering best practices in Infrastructure-as-Code (IaC), sophisticated container orchestration, and continuous delivery (CD) to reduce operational toil., • Collaborate and Lead Cross-Functionally: Partner closely Security Teams, and Product Engineering to define requirements and deliver robust, secure, and production-ready AI systems., • Lead MLOps Innovation: Continuously evaluate, prototype, and introduce cutting-edge tools, frameworks, and practices that fundamentally elevate the scalability, reliability, and security posture of our production ML operations., • Optimize Infrastructure & Cost: Strategically manage and optimize ML infrastructure resources to drive down operational costs, improve efficiency, and reduce model bootstrapping times.Qualifications Your Experience • 8+ years of software/DevOps/ML engineering experience, with at least 3+ years focused specifically on advanced MLOps, ML Platform, or production ML infrastructure and 5+ yeas of experience building ML Models, • Deep expertise in building scalable, production-grade systems using strong programming skills (Python, Go, or Java)., • Expertise in leveraging cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) for ML workloads., • Proven hands-on experience in the ML Infrastructure lifecycle, including:, • Model Serving: (TensorFlow Serving, TorchServe, Triton Inference Server/TIS)., • Workflow Orchestration: (Airflow, Kubeflow, MLflow, Ray, Vertex AI, SageMaker)., • Mandatory Experience with Advanced Inferencing Techniques: Demonstrable ability to utilize advanced hardware/software acceleration and optimization techniques, such as TensorRT (TRT), Triton Inference Server (TIS), ONNX Runtime, Model Distillation, Quantization, and pruning., • Strong, hands-on experience with comprehensive CI/CD pipelines, infrastructure-as-code (Terraform, Helm), and robust monitoring/observability solutions (Prometheus, Grafana, ELK/EFK stack)., • Comprehensive knowledge of data pipelines, feature stores, and high-throughput streaming systems (Kafka, Spark, Flink)., • Expertise in operationalizing ML models, including model monitoring, drift detection, automated retraining pipelines, and maintaining strong governance and security frameworks., • A strong track record of influencing cross-functional stakeholders, defining organizational best practices, and actively mentoring engineers at all levels., • Unwavering passion for operational excellence, building highly scalable, and securing mission-critical ML systems., • MS/PhD in Computer Science/Data Science, Engineering Additional Information The Team Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating — challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve the problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between - $175,000 - $220,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Inference Platform. In this highly technical, strategic role you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU inference services in the industry. Your charter spans everything from model-serving runtimes (e.g., Triton, vLLM, TensorRT-LLM) and autoscaling micro-batch schedulers to developer-friendly SDKs and airtight, multi-tenant security - all delivered on CoreWeave's unique accelerated-compute infrastructure. What You'll Do: • Vision & Roadmap - Define and continuously refine the end-to-end Inference Platform roadmap, prioritizing low-latency, high-throughput model serving and world-class developer UX. Set technical standards for runtime selection, GPU/CPU heterogeneity, quantization, and model-optimization techniques., • Platform Architecture - Design and implement a global, Kubernetes-native inference control plane that delivers <50 ms P99 latencies at scale. Build adaptive micro-batching, request-routing, and autoscaling mechanisms that maximize GPU utilization while meeting strict SLAs. Integrate model-optimization pipelines (TensorRT, ONNX Runtime, BetterTransformer, AWQ, etc.) for frictionless deployment., • Implement state-of-the-art runtime optimizations—including speculative decoding, KV-cache reuse across batches, early-exit heuristics, and tensor-parallel streaming—to squeeze every microsecond out of LLM inference while retaining accuracy., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of models across multiple regions. Drive cost-performance trade-off tooling that makes it trivial for customers to choose the best HW tier for each workload., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about large-scale AI inference. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Security teams to deliver a unified CoreWeave experience. Engage directly with flagship customers (internal and external) to gather feedback and shape the roadmap.Who You Are:, • 10+ years building large-scale distributed systems or cloud services, with 5+ years leading multiple engineering teams., • Proven success delivering mission-critical model-serving or real-time data-plane services (e.g., Triton, TorchServe, vLLM, Ray Serve, SageMaker Inference, GCP Vertex Prediction)., • Deep understanding of GPU/CPU resource isolation, NUMA-aware scheduling, micro-batching, and low-latency networking (gRPC, QUIC, RDMA)., • Track record of optimizing cost-per-token / cost-per-request and hitting sub-100 ms global P99 latencies., • Expertise in Kubernetes, service meshes, and CI/CD for ML workloads; familiarity with Slurm, Kueue, or other schedulers a plus., • Hands-on experience with LLM optimization (quantization, compilation, tensor parallelism, speculative decoding) and hardware-aware model compression., • Excellent communicator who can translate deep technical concepts into clear business value for C-suite and engineering audiences., • Bachelor's or Master's in CS, EE, or related field (or equivalent practical experience).Nice-to-have:, • Experience operating multi-region inference fleets at a cloud provider or hyperscaler., • Background in edge inference, streaming inference, or real-time personalization systems. The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Substitute teacher, Hourly Pay Imagine a school where each day is alive with learning, creativity, and a spirit of adventure. The Girls’ Middle School is committed to progressive education and innovative programming, meeting the needs of a wide range of middle school students. Our project-based curriculum encourages creativity, problem-solving, and independent thought. Attention to girls’ emotional and social growth develops self-knowledge and confidence as well as teamwork and leadership skills. Learn more about GMS: . GMS celebrates all perspectives coming together in community. We want teachers with varied experiences, because we know diversity enriches us all. Working at GMS In the GMS Art Program, students experience drawing, painting, ceramics, woodworking, metalworking, digital photography, and video production. In exploring wide-ranging media and techniques, they gain confidence in their ability to experiment and take creative risks. At the same time, they learn to use powerful tools for expressing themselves as artists. GMS seeks a part-time Art Faculty member who can be a substitute Art teacher. We're seeking an on-call Art Faculty substitute role to support our classes. Depending on the schedule, this role will include teaching art and possibly woodworking. As this is an on-call position, the exact schedule would depend on the classes needing coverage any given week. The ideal candidate will have strong classroom management skills and experience teaching art, woodworking, or a related field. They will have a passion for creating and can communicate and share that passion with their students joyfully. They will be friendly, enthusiastic, proactive, and forward-thinking. They will be detail-oriented, well-organized, able to support curriculum, meet GMS standards, and possess strong time-management skills. Compensation: The rate is $30–$40 per hour, depending on previous experience. Primary Duties and Responsibilities · Support the art department as an on-call substitute teacher; communicate with the lead teacher and sustain creative learning, adapt to diverse classroom environments, and engage students in hands-on artistic exploration. · Inspire students to experience art as a joyful process and an extension of themselves; · Educate students by supporting their active creation and analytical skill-building · Ensure students gain confidence in their own artistic ability and self-expression through art through guidance and supportive feedback · Model and communicate the importance of safety as a core part of learning in the woodshop. Helping students build awareness through demonstrations, reminders, and hands-on guidance. What we look for in the candidate · Experience in middle school classroom management, and being comfortable around power tools in the shop, or a related field. · Experience in teaching art, woodworking, or a related field. · Commitment to experiential, project-based learning, and other progressive pedagogies. · Demonstrated focus on supporting girls in discovering their strengths. · Ability to positively engage partners and collaborate closely with fellow educators. · Ability to be organized, adaptable, and a proactive self-starter in a dynamic classroom environment, and work independently. · Able to calmly step in when students are using tools unsafely — able to spot risky behavior (like holding wood the wrong way) and redirect safely To apply, please submit your resume and a cover letter.

Job Description About Etched Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As an RTL Engineer at Etched, you will be critical in ensuring that our AI chips operate correctly and efficiently. You will develop and implement design verification strategies for both our existing and upcoming ASIC designs. In this role, you will work closely with state-of-the-art architectures for machine learning. You do not need to have experience working with these yet, but you will be willing and able to learn quickly. You will work in a fast-paced environment with a high degree of autonomy, and be responsible for a key part of Etched’s success. Representative projects: * Implement a block to efficiently compute floating point math operators * Provide feedback to the uArch team to make sure blocks meet timing and area constraints You may be a good fit if you: * At least 5 years of work experience in RTL development. * Experience with high-speed digital logic. * Proficiency in standard RTL design and synthesis tools * Familiarity with verification work and writing test benches * Are able to learn quickly about transformers and other aspects of modern artificial intelligence * Willing to start quickly Strong candidates may also have experience with: * Experience with PCIe, Ethernet, or HBM technologies * Familiarity with transformer models and machine learning. * Familiarity with numerical representations and functions * Ability to program with Python or another scripting language We encourage you to apply even if you do not believe you meet every single qualification. Benefits: * Full medical, dental, and vision packages, with generous premium coverage * Housing subsidy of $2,000/month for those living within walking distance of the office * Daily lunch and dinner in our office * Relocation support for those moving to West San Jose Compensation Range * $150,000 - $275,000 How we’re different: Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in West San Jose, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $275K

Job DescriptionWho are we? Mission Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published venture beat article. Team As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. What are we looking for? We’re in search of a Full Stack Engineer who thrives on innovation and creative problem-solving across both server-side and client-side technologies. This role is ideal for someone excited to design, build, and maintain the backbone of our AI solutions while also creating intuitive, dynamic user experiences. You’ll be pivotal in enhancing our AI capabilities by developing high-performance back-end systems and integrating advanced AI into daily data workflows. Simultaneously, you’ll craft impactful front-end interfaces, from our React-based SaaS platform to our VSCode extension—offering data professionals a seamless, AI-driven developer experience. Qualifications: * 3+ years of experience building Python-based web application backends (e.g., Flask, FastAPI, Django) and the infrastructure on which they run * 5+ years of experience designing and developing scalable back-end systems, APIs, and microservices * Strong proficiency in JavaScript/TypeScript and React for building user-facing applications * Hands-on expertise in front-end tooling and libraries (Webpack, Babel, Redux, etc.), with a focus on responsive design, usability, and performance optimization * (Desirable) Working knowledge of static code analysis of SQL * (Desirable) Experience developing and extending VSCode extensions in JavaScript/TypeScript * (Desirable) Familiarity with AI and machine learning concepts * (Desirable) Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) * (Desirable) Involvement in open-source projects Why you should join Altimate AI Projects You'll Work On: * Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. * Front-End Development for DataPilot Build and enhance intuitive, user-friendly interfaces in React for our browser-based SaaS platform. Ensure seamless interactions with our AI backend and deliver an exceptional user experience to thousands of data professionals worldwide. * VSCode Extension Develop and maintain our VSCode extension (JavaScript/TypeScript) to bring AI-driven functionalities directly into developers’ IDE workflow. Focus on smooth integration, performance, and developer experience. * Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Impact: * Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. * High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. * Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. * Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. What We Offer * Competitive salary and equity * Base Salary Range: $130,000 - $180,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] * Equity: 0.0% - 0.2% * Extensive professional development opportunities and resources for continuous learning * Dynamic and intellectually stimulating work environment with a team of talented engineers * Opportunities to shape the direction of the company and leave a lasting impact How to Apply If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. The MissionTo conduct cutting-edge research that will enable general-purpose robots to be reliably deployed at scale in human environments. The ChallengeWe envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Recent years have witnessed a surge in the use of foundation models in various application domains, particularly in robotics. These “large behavior models” (LBMs) are enhancing the abilities of autonomous robots to perform various complex tasks in open and interactive environments. TRI Robotics is at the forefront of this emerging field by applying insights from foundation models, including large-scale pre-training and generative deep learning. However, it remains a challenge to ensure the reliability of LBMs for large-scale deployment in diverse operating conditions. The TeamWe aim to make progress on some of the hardest scientific challenges around the safe and effective usage and development of machine learning algorithms within robotics. To this end, the research mission of the Trustworthy Learning under Uncertainty (TLU) team within the Robotics division is to enable the robust, reliable, and adaptive deployment of LBMs at scale in human environments. To guarantee dependable deployment at scale in the years to come, we are dedicated to enhancing trustworthiness of LBMs through three key principles, as detailed (i) ensuring objective assessment of policy performance (Rigorous Evaluation), (ii) improving the ability to detect and handle unknown situations and return to nominal performance (Failure Detection and Mitigation), and (iii) developing the capability to identify and adapt to new information (Active / Continual Learning). Our team has deep cross-functional expertise across controls, uncertainty-aware ML, statistics, and robotics. We measure our success in terms of algorithmic advancements in the state-of-the-art and publications of these results in high-impact journals and conferences. We value contributions of reproducible and usable open-source software. The OpportunityWe’re looking for a driven research scientist or research engineer with a strong background in embodied machine learning and a “make it happen” mentality. Specifically, we are looking for expertise in a variety of areas such as Policy Evaluation, Failure Detection and Mitigation, and Active Learning in the context of Large Behavior Models (LBMs) for robotic manipulation. Our topics of interest include but are not limited to: Multi-Modal Foundation Models, Generative Modeling, Imitation Learning, Reinforcement Learning, Planning & Control, Statistics, Uncertainty Estimation, Out-of-Distribution Detection, Safety-Aware & Robust ML, (Inter)Active Learning, and Online / Continual Learning. The ideal candidate is able to conduct research independently, but also works well as part of a larger research team at the cutting edge of state-of-the-art robotics and machine learning. Experience with robots is preferred, particularly in the manipulation domain. If our mission of robust, reliable, and adaptive deployment of LBMs at scale in human environments resonates with you, reach out by submitting an application!Responsibilities • Work as part of a dynamic, closely-knit team conducting research on reliable, robust, and adaptive deployment of machine learning models in robot manipulation., • Push the boundaries of knowledge and the state-of-the-art in Robotics and LBMs., • Contribute to cutting-edge development in the areas of: Rigorous Policy Evaluation, Failure Detection and Mitigation, and Active / Continual Learning., • Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication., • Collaborate with internal research scientists and engineers across the TLU team, Robotics division, TRI, and Toyota, as well as our university partners across top academic research universities, such as MIT, Stanford, CMU, Columbia, USC, and Princeton., • Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.Qualifications, • 4+ years of relevant industry experience or a Ph.D. in Machine Learning, Robotics, or related fields., • Passionate about large scale challenges in ML grounded in physical systems, especially in the space of robotic manipulation., • Expertise in Multi-Modal Foundation Models, Generative Modeling, Imitation Learning, Reinforcement Learning, Planning & Control, Statistics, Uncertainty Estimation, Out-of-Distribution Detection, Safety-Aware & Robust ML, (Inter)Active Learning, and/or Online / Continual Learning., • A strong track record of publication at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, UAI, AISTATS, AAAI, TMLR, RSS, ICRA, IROS, RA-L, T-RO, CDC, L4DC, etc.) on some of the aforementioned topics., • Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch)., • Ability to collaborate with other researchers and engineers of the TLU team, and, more broadly, the Robotics division to invent and develop interesting research ideas., • A reliable teammate who loves to think big, go deeper, and deliver with integrity.Bonus Qualifications, • Some familiarity with robots and the challenges inherent in conducting research on physical hardware platform.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: CoreWeave is looking for a Director of Engineering to own and scale our next-generation Large Scale Training Platform. In this highly technical, strategic role, you will lead a world-class engineering organization to design, build, and operate the fastest, most cost-efficient, and most reliable GPU training services in the industry. Your charter spans everything from distributed training frameworks (e.g., Megatron-LM, DeepSpeed, PyTorch FSDP, Horovod) and large-scale data pipelines to checkpointing, fault tolerance, and developer-friendly APIs - all delivered on CoreWeave's unique accelerated-compute infrastructure. About the role: • Vision & Roadmap - Define and continuously refine the end-to-end Training Platform roadmap, prioritizing scalability, throughput, and cost optimization for training the largest AI models. Set technical standards for distributed training frameworks, model/data parallelism strategies, mixed-precision techniques (FP8, BF16), and advanced checkpointing/restart mechanisms., • Platform Architecture - Design and implement a Kubernetes-native training control plane capable of managing multi-thousand GPU jobs with high reliability and efficiency. Build solutions for elastic distributed training, including job-aware autoscaling, dynamic GPU allocation, and multi-node communication optimizations using NCCL, SHARP, and RDMA. Integrate data pipeline optimizations, such as caching layers, streaming datasets, and sharded data loading to eliminate I/O bottlenecks. Implement state-of-the-art distributed training optimizations—including tensor/sequence parallelism, pipeline parallelism, optimizer sharding, activation checkpointing, and gradient compression—to push the limits of performance and scale., • Operational Excellence - Establish SLOs/SLA dashboards, real-time observability, and self-healing mechanisms for thousands of concurrent training jobs across multiple regions. Develop cost-performance trade-off tooling that enables customers to seamlessly select hardware configurations that minimize time-to-train while optimizing for cost. Build robust fault tolerance and automatic recovery workflows to handle large-scale preemption, checkpoint failures, or data pipeline interruptions., • Leadership - Hire, mentor, and grow a diverse team of engineers and managers passionate about building the world's leading AI training platform. Foster a customer-obsessed, metrics-driven engineering culture with crisp design reviews, deep technical rigor, and blameless post-mortems., • Collaboration - Partner closely with Product, Orchestration, Networking, and Storage teams to deliver a unified CoreWeave experience. Work directly with flagship customers training frontier models to gather feedback, optimize workflows, and shape the platform roadmap.Who You Are:, • 10+ years building large-scale distributed systems or HPC/cloud services, with 5+ years leading engineering teams., • Proven success delivering mission-critical distributed training platforms or large-scale ML pipelines., • Deep understanding of GPU/CPU resource allocation, NUMA-aware scheduling, interconnect topologies (NVLink, InfiniBand), and large-scale data handling., • Experience with data, model, tensor, and pipeline parallelism, and advanced optimizer techniques for training massive models., • Background in scaling pretraining of LLMs or multimodal models to thousands of GPUs., • Excellent communicator capable of translating complex engineering trade-offs into clear business outcomes., • Experience operating multi-region training clusters for hyperscalers or large AI labs., • Familiarity with open-source ML training frameworks (e.g., DeepSpeed, FSDP, Alpa, MosaicML). At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Title: Research scientist (Robotics, AI) Position Type: Full time Location: Santa Clara, CA, USA Salary Range: $150,000 - $230, 000 (USD) Job ID#: 158284 Job Description: We are looking for a creative, skilled, and motivated research scientists to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA. Responsibilities * Develop new algorithms and methods for training AI models for enhancing the robot dexterity. * Conduct cutting edge research across multiple disciplines (Robotics, RL/IL, control, perception, LLM, VLM, etc.). * Work with large-scale ML systems and large-scale model training/fine-tuning. * Design and implement state-of-the-art learning-based manipulation/navigation/control algorithms on real robots. * Work with other teams to develop a diverse set of robust manipulation skills for robots. Requirements: * Ph.D. degree in Robotics, Computer Science/Engineering, Electrical Engineering, Mechanical Engineering, etc., or equivalent research experience. * Passionate about working with robots and building robot products. * Excellent analytical, problem-solving, and communication skills. * At least 3 years of experience conducting independent research. * Deep understanding of the SOTA robot learning techniques (reinforcement learning, imitation learning, etc.) * A track record of research excellence with your work published in top conferences and journals such as Science Robotics, IJRR, RSS, CoRL, ICRA, NeurIPS, ICML, ICLR, CVPR, etc. * Proficient with Python. * Proficient with deep learning libraries such as PyTorch/TensorFlow/Jax. * Experience with real robot experiments. * Experienced with robot simulators such as Isaac Gym/ Isaac Sim/ SAPIEN/ MuJoCo/Drake, etc. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PI2k5Mktin

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are the Cloud Identity Engine team. We are building the foundations of the next inflection point in the security industry by combining our deep expertise in security with the state of the art in large-scale infrastructure for data processing. We need passionate engineers who love to code and build great products - engineers who bring new ideas in all facets of software development. We are looking for leaders who take ownership of their areas of focus and who are driven to solve problems at every level. Collaboration and teamwork are at the heart of our culture and we need engineers who can communicate at a high level and work well with others towards achieving a common goal. This is a unique opportunity to help build the products and practices that will support our growth over the next decade. If you see the potential of how incredible people products can transform a business, this is the role for you. If you have an entrepreneurial spirit, know how to deliver, are deeply technical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. As a Senior Staff Software Engineer, you will design, develop and deliver next-generation technologies within our Cloud Identity Engine team that bridges cloud-based data processing and security disciplines to solve real world problems. Your Impact • Be an integral member of our Cloud Identity Engine team responsible for software design and development., • Collaborate with production management and UX to draft functional specifications addressing customer’s challenge, • Work with different development and quality assurances groups to achieve the best qualityQualifications Your Experience • 4+ years of experience in software development, preferably with Python or Javascript/NodeJS, • Fast learner and eager to absorb new emerging technologies, • Able to troubleshoot integration and performance issues, • Methodical in problem-solving with Can-Do attitude, • High energy and the ability to work in a fast-paced environment, • Working experience with MongoDB, Redis and RabbitMQ is a plus, • Experience with identity management (IAM) is a plus, • Experience with Cloud platforms such as GCP (GKE) or AWS (EKS) is a plus, • Experience with Active Directory, Micorsoft EntraID or Okta is a big plus, • Experience with OAuth, SAML/OIDC or SCIM is a big plus, • BS/MS in Computer Science/Computer Engineering/Electrical Engineering or equivalent military experience required Additional Information The Team Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible products can transform a business, this is the team for you. If you don't wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. #LI-TD12 Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job DescriptionAI/ML Architect Job Description We are currently seeking a highly skilled and visionary AI Architect to join our dynamic team. As an AI Architect, you will be instrumental in shaping the AI strategy and technical direction of our projects. You will work closely with our talented team of data scientists, engineers, and product managers to design and implement state-of-the-art AI solutions that meet the needs of our clients and propel our company forward. Responsibilities AI Strategy and Solution Design · Collaborate with clients and internal stakeholders to understand their business objectives and pain points and translate them into AI-driven strategies and solutions.· Lead the design and architecture of end-to-end AI systems, including data collection, preprocessing, feature engineering, model selection, training, and deployment.· Stay informed about the latest advancements in AI and machine learning to ensure our solutions remain at the cutting edge. Technical Leadership· Provide technical expertise and guidance to our AI development team, including data scientists, machine learning engineers, and software developers.· Lead by example and promote best practices in AI development, ensuring code quality, scalability, and maintainability of AI systems.· Foster a culture of innovation, continuous learning, and knowledge sharing within the AI team. Model Development and Evaluation · Oversee the development and evaluation of machine learning models to ensure they meet the highest standards of accuracy and performance.· Implement robust testing and validation procedures to identify and address potential issues early in the development process. Infrastructure and Deployment · Collaborate with our DevOps and IT teams to design and maintain scalable AI infrastructure for efficient model training, testing, and deployment.· Ensure smooth integration of AI models into production systems and monitor their performance in real-world scenarios. Data Governance and Ethics · Champion data governance and privacy best practices to ensure ethical and responsible AI development.· Collaborate with legal and compliance teams to navigate potential legal and ethical implications related to AI projects. Job Requirements · Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.· Proven track record with10+yrs in designing and delivering enterprise grade AI-powered solutions, AI & ML products that drive customer and business value. Experience leading AI strategy for enterprise or large-scale platforms.· In-depth knowledge of various AI and machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.· Proficiency in programming languages like Python, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).· Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.· Proficiency with LLMs, RAG and AI agents· Practical experience with deep learning projects· Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI-related services.· Excellent analytical and problem-solving skills with the ability to think creatively and propose innovative AI solutions.· Previous experience in supply chain and logistics preferred.· Outstanding communication and leadership skills, enabling effective collaboration with cross-functional teams and stakeholders.· Certifications in cloud AI platforms or data engineering.· A portfolio of successful AI projects or publications in reputable conferences/journals is highly desirable. Perks · The expected salary range for this position is $150,00 - $180,000 USD· Flexible time-off· Excellent health benefits· Stock options· Exciting hyper growth phase where you can stand out and make a difference. Join our vibrant and forward-thinking team at KlearNow.ai as we continue to push the boundaries of AI technology. We offer a competitive salary, flexible work arrangements, and ample opportunities for professional growth. If you are passionate about shaping the future of Global Trade and making a difference, we invite you to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. As a key member of Layer-7 Security group, you will be responsible for: • Designing and developing security features on the next-generation firewalls, • You will work with product management on user requirements, apply your knowledge to functional design, • Utilize your programming skills for efficient and robust implementation, • Innovate, design, and develop new security features in our next-generation firewalls product, • Contribute in all phases of the product development cycle, from definition, design, through implementation and test, • Design new product features, with a high focus on quality and execution, • Develop functional specifications, assess task requirements and scheduling, and assist in development, debug and support, • Suggest and implement improvements to the development process, • Clearly communicate goals and desired outcomes to internal project teams, • Interview, mentor and coach new team membersQualifications Your Experience • 10+ years of enterprise product development experience with C in a Unix/Linux environment, • Flair for coding and hands on experience debugging the code using tools like GDB is required, • Working knowledge of TCP/IP internals and common data structure and algorithms, • Working knowledge of Windows kernel and Windows Filtering Platform is preferred., • Verbal and written communication skills to work with multi-functional groups, • Teammates who brings a can-do attitude to a dynamic working environment, • Graduate degree (MS or Ph.D.) in Computer Science or similar technical discipline is preferred, • Knowledge of multi-core / multi-process / multi-threaded programming is preferred, • Experience with windows agent programming and cloud programming (go) software development is preferred, • Experience with large-scale and/or high-performance software design and development is preferred, • Experience with TLS internals, cryptography, and OpenSSL is preferred, • Experience with HTTP and web server backend development is preferred, • B.S./M.S. degree in Computer Science, similar technical discipline or equivalent practical experience or equivalent military experience required Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about building products to solve problems no one has pursued before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled chance to create the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $170,000 - $277,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job DescriptionPlus, also known as PlusAI, is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams. We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.Responsibilities: • Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques., • Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy., • Integrate the data-driven models into simulation pipelines with seamless compatibility., • Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates., • Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies., • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.Required Skills:, • MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field., • Extensive experience applying deep learning techniques to time series forecasting and data analysis., • Proficient in Python with experience working in large codebases., • Excellent communication skills and the ability to collaborate effectively in a team setting., • Familiarity with state-of-the-art deep learning models and their applications., • Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.Preferred Skills, • Proficient in C++, • Background in autonomous vehicle prediction, planning, and control, • Strong understanding of conventional vehicle dynamics modeling

Job Description Uare.ai, founded by Robert LoCascio (former CEO of LivePerson for 28 years), is an AI startup launched in May 2024 with a mission to empower people to do more with their memories. Uare.ai creates AI-driven personal digital twins, enabling users to preserve, share, and interact with their knowledge and stories in groundbreaking ways. At its core is the proprietary Human Life Model (HLM), designed to process unstructured conversations and story data sets without training client data into traditional LLMs. Instead, Uare.ai leverages 3rd-party LLMs for conversations, with HLM providing structure and reasoning. While initially focused on personal legacy and AI immortality, Uare.ai' platform has broad B2C and B2B applications. The company has gained significant traction, featured in over 30 outlets including NBC, NPR, The New York Post, and CNET. About the Role: We are seeking a highly skilled Senior Machine Learning Engineer to join an early-stage, mission-driven startup that's building cutting-edge AI-powered products for real-world human interaction. You will be responsible for designing and implementing scalable machine learning pipelines, integrating foundation models, and fine-tuning retrieval systems that deliver high-quality, context-aware responses. What You'll Do: • Design and implement machine learning workflows that combine structured and unstructured data., • Work with state-of-the-art language models and voice technologies., • Build and optimize retrieval-augmented generation (RAG) systems., • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems., • Help shape the future of AI-powered human interaction products. What We're Looking For: • 4+ years of experience in machine learning, NLP, or AI., • Strong experience with LLMs, RAG pipelines, vector databases, and prompt engineering., • Hands-on experience with cloud-based AI platforms (AWS, Azure, or GCP)., • Familiarity with voice cloning, speech synthesis, or related audio ML workflows is a plus.

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the RoleWe are seeking a Data Infrastructure Engineer to join our growing team. In this role, you will design, build, and operate distributed data systems that power large-scale ingestion, processing, and transformation of datasets used for AI model training. These datasets span traditional structured data as well as unstructured assets such as images and 3D models, which often require specialized preprocessing for pretraining and fine-tuning workflows.This is a versatile role: you'll own end-to-end pipelines (from ingestion to transformation), ensure data quality and scalability, and collaborate closely with ML researchers to prepare diverse datasets for cutting-edge model training. You'll thrive in our fast-paced startup environment, where problem-solving, adaptability, and wearing multiple hats are the norm.What You'll Do： • Core Data Pipelines, • Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries)., • Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics., • Distributed Systems & Storage, • Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs., • Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents)., • Implement partitioning, sharding, caching strategies, and observability (monitoring, logging, alerting) for reliable pipelines., • Pretrain Data Processing, • Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction., • Implement validation and quality checks to ensure datasets meet ML training requirements., • Collaborate with ML researchers to quickly adapt pipelines to evolving pretraining and evaluation needs., • Infrastructure & DevOps, • Use infrastructure-as-code (Terraform, Kubernetes, etc.) to manage scalable and reproducible environments., • Integrate CI/CD best practices for data workflows., • Data Governance & Collaboration, • Maintain data lineage, reproducibility, and governance for datasets used in AI/ML pipelines., • Work cross-functionally with ML researchers, graphics/vision engineers, and platform teams., • Embrace versatility: switch between infrastructure-level challenges and asset/data-level problem solving., • Contribute to a culture of fast iteration, pragmatic trade-offs, and collaborative ownership.What We're Looking For：, • Technical Background, • 5+ years of experience in data engineering, distributed systems, or similar., • Strong programming skills in Python (plus Scala/Java/C++ a plus)., • Solid skills in SQL for analytics, transformations, and warehouse/lakehouse integration., • Proficiency with distributed frameworks (Spark, Dask, Ray, Flink)., • Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems (S3, Parquet, Delta Lake, etc.)., • Experience with workflow orchestration tools (Airflow, Prefect, Dagster)., • Domain Skills (Preferred), • Experience handling large-scale unstructured datasets (images, video, binaries, or 3D/2D assets)., • Familiarity with AI/ML training data pipelines, including dataset versioning, augmentation, and sharding., • Exposure to computer graphics or 3D/2D data processing is strongly preferred., • Mindset, • Comfortable in a startup environment: versatile, self-directed, pragmatic, and adaptive., • Strong problem solver who enjoys tackling ambiguous challenges., • Commitment to building robust, maintainable, and observable systems.Nice to Have：, • Kubernetes for distributed workloads and orchestration., • Data warehouses or lakehouse platforms (Snowflake, BigQuery, Databricks, Redshift)., • Familiarty GPU-accelerated computing and HPC clusters, • Experience with 3D/2D asset processing (geometry transformations, rendering pipelines, texture handling)., • Rendering engines (Blender, Unity, Unreal) for synthetic data generation., • Open-source contributions in ML infrastructure, distributed systems, or data platforms., • Familiarity with secure data handling and complianceOur Values, • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Stock options available for core team members., • Comprehensive health, dental, and vision insurance.

Job DescriptionAbout the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As the Senior Product Manager for our teams, you will work within the extreme ambiguity of frontier research and impose the rigor and focus required for high-velocity delivery. You will partner with Lab Leadership to define the product vision for our model families (LLMs, reasoning, world models) and the applications built upon them. This product vision and leadership will be integral to achieving successful, high-quality releases of state-of-the-art models for the global community. Concurrently, you will lay the groundwork for our Product Management organization. You will define the holistic product vision for the lab, determining not just what we build, but who we build it for. As the team scales, you will hire, mentor, and manage the Product Managers responsible for individual model families, setting the standard for excellence across the board. Key Responsilities • Product Vision & Strategy, • Define the "North Star": Partner with Lab Leadership to synthesize disparate research tracks into a cohesive, lab-wide Product Strategy. Ensure our various model families (LLMs, reasoning, world models) tell a unified story., • User-Centric Roadmap: You are the voice of the user in the research lab. Whether our target is an academic researcher, an open-source hacker, or an enterprise CTO, you must define the specific personas for each model and ensure the product roadmap solves their actual problems (not just theoretical ones)., • Ecosystem Thinking: Treat the model as a platform. Define the requirements for model capabilities, serving endpoints, APIs, and demo applications to ensure our models are usable, accessible, and impactful from Day 1. Execution & Shipping, • Drive Shipping as a Habit: Instill a culture of relentless execution. converting "research timelines" (flexible) into "product timelines" (committed). Manage the tension between research exploration and shipping deadlines., • Technical Translation: Bridge the gap between the Research, Data, and Engineering teams. Translate complex technical constraints (compute budgets, data availability) into clear trade-off decisions., • Force-Rank Priorities: Ruthlessly prioritize features and evaluations to ensure the team is always working on the critical path to release., • Own the Release Criteria: Define what "Done" looks like. Establish and enforce the benchmarks for performance and safety required for a public release., • Cross-Functional Collaboration: Support the synchronization between Research, Engineering, Marketing, and Production. You help to ensure that engineering timelines, marketing beats, and model training schedules are aligned, preventing silos from slowing down the release. Organizational Leadership & Team Building, • Build the PM Engine: You will be the architect of the Product Management function and will define the operating principles for existing and future Product Managers., • Manage & Scale: As the team grows, you will transition into leading the Product Management organization, managing the Product Managers dedicated to specific model families. You will be responsible for their output, growth, and alignment with IFM’s mission., • A bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field. (MBA or advanced technical degree is a plus, but shipping record matters more). Professional Experience - Minimum, • 7+ years of relevant industry experience, with at least 3 years in Product Management for technical, backend, or platform products., • Proven "Shipper": You must have a portfolio of complex technical products you have successfully launched from 0 to 1., • Strategic & User Insight: Demonstrated ability to take a piece of complex technology and find its product-market fit. You can articulate why a user needs a specific feature and back it up with data or intuition., • Leadership Potential: Experience mentoring junior Product Managers or leading cross-functional initiatives. You are ready to build and lead a team., • Technical Fluency: You do not need to write the code, but you must understand the stack. You can discuss context windows, inference latency, and specific benchmarks with researchers without a translator. Professional Experience - Preferred, • Foundation Model Experience: Experience working specifically with LLMs, Generative AI, or ML Infrastructure., • Research-to-Product Transition: Experience working in a research lab or R&D environment, specifically managing the transition of research artifacts into production-grade assets., • Open Source Strategy: Familiarity with the open-source AI ecosystem (Hugging Face, vLLM, etc.) and experience managing open-source community releases.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Natural Language Processing (NLP) with a focus on large language models and deep learning, your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of NLP solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies.Key Responsibilities • Lead the research of technology for improving the efficiency of Large Language Model (LLM) while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement NLP algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve LLM algorithms to work with other models such as computer vision models, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient LLM technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionAt Array Labs, we are building the world's most advanced satellite radar constellation to create a high-resolution 3D digital twin of the Earth. Our mission is to provide "lidar-like" 3D data and imagery from space, serving critical applications for both commercial and defense customers. This is a deep tech challenge in the truest sense. We're solving complex problems that span hardware, software, and data—from designing satellite systems for the harshness of space to building the massive "data factory" that turns raw sensor data into beautiful 3D products. We are looking for first-principles engineers who want to build, deploy, and scale a one-of-a-kind, vertically-integrated system from the ground up. The hardware engineering team is responsible for the analysis and design of our satellite and ground-station electronics, which spans the range of radar, communications, power management and processing subsystems. As a lead engineer, you will own the design of hardware solutions that will be integrated into satellites and cutting-edge ground infrastructure. You will work cross-functionally with our antenna, RF, communications and radar engineers to rapidly move from clean-sheet designs to full operational deployment in space. In this role, you’ll help shape the design of the world’s first formation-flying radar imaging constellation, which will deliver a quantum-leap in humanity's ability to rapidly and comprehensively understand our ever-changing world. Responsibilities: • Develop advanced electronic platforms, from architecture to manufacturing, • Work closely with software, firmware, RF, antenna, digital, and mechanical design engineers to design and validate state-of-the-art spacecraft electronics, • Create requirements, perform system trades, select components, capture schematics, design complex electronic assemblies and manage manufacturing, • Lead prototyping, hardware bring-up, debug, manufacturing, and test campaigns., • Rapidly iterate on and improve electronic designs based on laboratory, environmental and on-orbit testingBasic Qualifications:, • B.S. in Electrical Engineering, or a related field., • Experience in electronics design, fabrication, and test, • Excellent teamwork and communication skills, • Learns new concepts rapidly, completely, and in a self-directed manner, • High levels of self-motivation and personal accountability, • Ability to work in a fast-paced environment under significant time constraintsPreferred Skills and Experience:, • Bachelor's or Master’s degree in electrical engineering, or a related field, • 4+ years of proven electrical engineering work experience with full-life cycle development (concept to production) of consumer electronics, power electronics, communications, automotive, aerospace, and/or robotics, • Solid background in high-speed board design, simulation, and validation techniques including PCB stack-up, PCB fabrication, floorplanning, component selection, placement and routing, simulation and measurement, • Solid background in electromagnetic theory and RF fundamentals such as s-parameters, transmission lines, and broadband impedance matching, • Hands-on experience designing high-performance platforms including compute (SoCs, FPGAs, MCUs), storage (DDR, SSDs), high-speed interfaces (PCIe, SPI, JESD204B), RF components (PAs, LNAs, switches), • Proficiency with schematic capture and layout using CAD tools such as Altium Designer, Allegro, and ORCAD, • Experience with EMC requirements and EMI mitigation techniques, • Expertise in signal and power integrity simulation and measurement, • Expertise in EM and thermal simulation of printed circuit boards, • Experience with analysis and simulation tools such as LTSPICE, ADS and Microwave Office, • Experience with data analysis and programming in MATLAB or python, • Hands-on experience with test equipment such as oscilloscopes and network analyzersITAR Requirements:, • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Equal Opportunity Employer • Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status. Interview ProcessWe will conduct three interviews via Zoom; the typical process takes around 2-4 weeks to complete from start to finish. Hiring and Compensation StrategyOur hiring and compensation strategy is simple:

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Role OverviewBuild and scale distributed pre-training frameworks· Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.· Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).Turn mathematical ideas into fast production code· Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).· Convert them into efficient CUDA/Triton kernels with custom gradients and tests.Boost training efficiency and stability· Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability· Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.Accelerate research velocity· Build logging, metrics, and other experiment-tracking tools for rapid iteration.· Design ablation studies and statistical tests that validate—or refute—new ideas.· Mentor interns and junior engineers through clear async design docs and code reviews.You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.Why You’ll Love This Job· Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.· Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.· End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.· Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.· Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.Key Responsibilities· Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.· Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.· Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.· Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.· Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.· Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.QualificationsMust-Haves· 5 + years combined industry or hands-on research experience with large-scale deep-learning training.· Led at least one large-scale transformer pre-training run· Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.· Experience with distributed training at scale (100+ GPUs).· Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.· Strong software engineering skills on large ML codebases· Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.· Clear written communication (design docs, RFCs, post-mortems).Nice-to-Haves· NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.· Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).· Background in numerical computing.· Ability to translate math and· build high-perf CUDA/Triton kernels.Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job DescriptionDescription: LGTC Group is hiring a Milieu Counselor for its Eating Disorder PHP/IOP program in Campbell, CA As a Milieu Counselor, you will be responsible for assisting and supporting clients through the entire treatment experience from admission through discharge. You will work daily with our clients and be responsible for: Contributing insightful, practical and meaningful information to support the client’s behavior, mood and healing process Role-modeling appropriate and supportive behavior based on your training and experience Supporting our clients in their journey to a healthier and more productive life Milieu Counselors can become part of the client’s major support system, and as such, derive great satisfaction from making a powerful difference in their lives. Counselors manage crisis situations such as emotional breakdowns and more. Counselors are empowered to be creative in their approach as personal strengths, skills and passions (e.g. yoga, art, hobbies…) may be integrated into our program. Responsibilities Greeting new clients and introducing them to their primary treatment team Facilitating therapeutic meals during program Contributing to the well-being of all clients by serving as a positive role model, demonstrating appropriate dress, grooming, communication and positive behavior in a professional, warm and caring manner, and if the client needs to “check in,” helps the client to engage in positive coping skills Facilitating the treatment plan set forth by the Therapist by providing day-to-day support Responsibility for running therapeutic groups including education on coping skills, relapse prevention, DBT, psycho education, life skills, etc. Participating in a weekly multi-disciplinary team meetings Understanding and maintaining the confidential nature of all client and program related activities Attending all training, education and staff enrichment activities Support client and patient intake and registration processes Qualifications Bachelor’s degree (B.A.) from four-year college or university One year experience working with children, mental health, counseling, or eating disorder field preferred Requirements: Responsibilities Greeting new clients and introducing them to their primary treatment team Determining whether the new client has any special needs, communicating those needs to the treatment team and assisting in making sure the needs are met Eating together during meal times Contributing to the well-being of all clients by serving as a positive role model, demonstrating appropriate dress, grooming, communication and positive behavior in a professional, warm and caring manner, and if the client needs to “check in,” helps the client to engage in positive coping skills Facilitating the treatment plan set forth by the Therapist by providing day-to-day support Responsibility for running therapeutic groups including education on coping skills, relapse prevention, DBT, psycho education, life skills, etc. Assisting the Program Director as needed Assisting Therapists in the discharge process by helping the client transition home Participating in a weekly multi-disciplinary team meetings Sharing vital information of the client’s progress with the treatment team Understanding and maintaining the confidential nature of all client and program related activities Dedicating to personal growth by pursuing educational and personal growth plans and encouraging others to do the same Attending all training, education and staff enrichment activities Support client and patient intake and registration processes Qualifications Bachelor’s degree (B.A.) from four-year college or university One year experience working with children, mental health, counseling, or eating disorder field preferred Must attend all training, education, and staff enrichment activities

Job DescriptionAbout Meshy Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the RoleWe are hiring a Senior Data & Analytics Engineer to own pipelines, schemas, and statistical tooling that transform raw product events into trusted insights. You'll move comfortably between deep data‑engineering (CDC pipelines, event queues, object‑store reconciliation) and analytics craft (basic statistics concepts, experiment design, BI dashboards, and insights/analysis). Your work will have a high impact and drive key decisions across data infrastructure, product, marketing, growth and finance.What You'll Do: • Data Ingestion – Design, build, and maintain scalable ELT & CDC pipelines., • Schema Building – Develop and optimize ELT processes to ensure data quality and reliability using Delta Live Tables in Databricks; enforce data documentation, lineage, tests, monitoring, alerts, access control and data governance., • Metrics & Dashboards – Define key metrics and build visualizations in Tableau., • Deep‑Dive Analysis – Analyze business data to uncover insights that drive key business decisions.What We're looking for:, • 5+ years designing and maintaining data‑ingestion pipelines., • 5+ years designing analytics schemas and building ELT on modern data stacks (dbt, etc.)., • 5+ years building data visualizations and analyses using Tableau, Looker, or similar tools., • Expert in data‑querying languages (e.g., SQL) and scripting languages (e.g., Python, PySpark, Java, Scala)., • Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics., • Demonstrated agility—quick to adapt, versatile across toolsets, and eager to learn., • Proven ability to communicate ideas and analyses effectively to both technical and non‑technical audiences., • BS or MS in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.Nice to have:, • Experience in the SaaS, 3D or AI industry., • Experience in ML / data‑science roles, especially with LLMs or NLP., • Prior work evaluating foundational models or working with graphics / 3‑D datasets., • Located in or near one of our employee hubs — Bay Area, CA; Seattle, WA; New York, NY (NJ); Vancouver or Toronto, Canada. Our Values • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry., • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward., • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage., • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.Why Join Meshy?, • Competitive salary, equity, and benefits package., • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology., • Flexible work environment, with options for remote and on-site work., • Opportunities for fast professional growth and development., • An inclusive culture that values creativity, innovation, and collaboration., • Unlimited, flexible time off.Benefits, • Stock options available for core team members., • 401(k) plan for employees., • Comprehensive health, dental, and vision insurance., • The latest and best office equipment.

Job DescriptionAbout xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Role As a Data Center System Software Engineer at xAI, you will play a pivotal role in ensuring the reliability, scalability, and performance of our state-of-the-art data center infrastructure, including the Colossus supercluster in Memphis—the world's largest AI training cluster with over 100,000 liquid-cooled Nvidia GPUs and plans for expansion to 1 million. This infrastructure powers advanced AI workloads, massive-scale model training, and products like Grok, enabling breakthroughs in understanding the universe. You will collaborate with cross-functional teams to automate operations, enhance observability, and maintain high availability for large-scale distributed systems. This is a hands-on technical position in a dynamic environment, offering the opportunity to tackle complex challenges at the intersection of AI, data center operations, and software reliability. Responsibilities • Maintain and improve the reliability and uptime of xAI's on-premises and cloud-based data center environments, including high-density GPU clusters for AI training., • Design, implement, and manage monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, PagerDuty)., • Develop and maintain infrastructure-as-code (Pulumi, Terraform) and continuous deployment pipelines (Buildkite, ArgoCD)., • Participate in on-call rotations, respond to incidents, perform root cause analysis, and drive post-mortem processes., • Analyze system performance, forecast capacity needs, and optimize resource utilization for massive AI/ML workloads., • Collaborate with hardware, networking, and software engineering teams to design and implement resilient, scalable solutions, such as RDMA fabrics and liquid-cooling systems., • Create and maintain documentation and standard operating procedures., • Contribute to the efficiency of AI training pipelines by identifying and mitigating bottlenecks in compute, storage, and networking at unprecedented scales.Basic Qualifications, • Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience)., • 5+ years in site reliability engineering, data center operations, or large-scale infrastructure management., • Expert-level knowledge of Kubernetes (on-prem and cloud), infrastructure-as-code tools (Pulumi, Terraform), and CI/CD systems (Buildkite, ArgoCD)., • Proficiency in at least one systems programming language (Rust, C++, Go) and strong scripting/automation skills., • Deep understanding of monitoring and observability technologies., • Strong troubleshooting skills across hardware, networking, and distributed software systems., • Proven experience with incident response, including on-call rotations, rapid incident resolution, root cause analysis, and implementation of preventative measures., • Excellent communication and documentation skills, with the ability to share knowledge concisely and accurately.Preferred Skills and Experience, • Experience supporting AI/ML workloads or high-density compute environments, including large-scale GPU clusters and HPC systems., • Familiarity with data center electrical, cooling, and network systems, such as liquid-cooling and high-bandwidth interconnects., • Certifications in Kubernetes, or data center operations., • Experience with both on-premises and cloud infrastructure at scale. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human-Interactive Driving, and Robotics. We are looking for a machine learning engineer to develop our infrastructure and support researchers in the development of foundation models for robotics. The MissionWe are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks. To do this, our team is building general-purpose machine learning foundation models for dexterous robot manipulation. These models, which we call Large Behavior Models (LBMs), use generative AI techniques to produce robot action from sensor data and human request. To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. We are also using high-quality simulation to augment real world robot data with procedurally-generated synthetic demonstrations. The TeamThe Robotics Machine Learning Team’s charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in realistic environments such as homes or factories. The JobWe have several research thrusts under our broad mission, and we are looking for a machine learning engineer to contribute to some of the following objectives: Hardware Infrastructure: Develop our hardware platform, making sure the robots and software stack are state-of-the-art, operational, and continuously improved with new functionalities. This includes the robot hardware (YAM, Franka, and custom), the sensors (monocular, stereo, depth, etc), the robot/computer interface, the human/robot interface, the data logging, and the controls. Inference & Deployment: Build APIs and systems for high-throughput inference and logging in simulation and on real robot platforms. Enable low-latency model serving and robust policy–environment communication. Evaluation & Monitoring: Design metrics pipelines for quantitative and qualitative evaluation. Build tools for experiment tracking, logging, visualization, and leaderboard management using systems like Weights & Biases, MLflow, or ClearML. Data Infrastructure: Build scalable pipelines for heterogeneous multimodal data (images, text, video, touch, depth, proprioception). Work with data storage, versioning, streaming, and visualization systems optimized for throughput and accessibility. The machine learning engineer who joins our team will be expected to create working code, and interact frequently with researchers. They will run experiments with both simulated and real (physical) robots, and participate in publishing the work to peer-reviewed venues. We’re looking for an engineer who is comfortable working with multiple robotic embodiments and stacks as well as a growing dynamic corpus of robot data.Qualifications • Hardware experience on robots, • Communication protocol experience (ROS, WebSocket, RPC…), • Strong software engineering skills in Python, PyTorch, and distributed systems., • Experience with large-scale data handling, including streaming, preprocessing, and storage of video or sensor data., • A “make it happen” attitude and comfort with fast prototyping., • A passion for robotics and development grounded in important fundamental problems., • Continuous integrationBonus Qualifications, • Familiarity with modern ML efficiency frameworks (e.g., FSDP, DeepSpeed, XLA, Ray, Hugging Face Accelerate)., • Experience with machine learning and familiarity with large multi-modal datasets and models.

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career In the Layer-7 Security Software team, we are responsible for at least one, often two to three headline features in every PANOS release. Our code reaches many product lines in the company, and is the critical part of delivering the highest revenue licenses the company offers. Our core Application Identification and Content Inspection Engine runs on Hardware, Virtualized, Container and Cloud-delivered firewalls. Any features that require the inspection or extraction of layer-7 network payload depends on our engine. We are also developing the latest Cloud-delivered Layer-7 security infrastructure. We design and develop key innovative security features such as the industry first Machine Learning powered NGFW, Credential Phishing prevention, URL-filtering, Cloud-delivered Data leak protection (DLP), and many more exciting features. Are you looking to tackle a variety of challenging problems across the network, firewall, and Cloud platforms with a team of collaborative and experienced software engineers? Are you eager to expand to and innovate in the latest security platforms and delivery technologies in the industry? Would you like to be part of a fast moving and engaging team that executes and delivers cutting edge features like a start-up but with the support of an established leading security company? We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for leaders who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. As a key member of Layer-7 Security group, you will be responsible for designing and developing GlobalProtect, one of the best and most popular secure network connection applications, and other security features on the next-generation firewalls. You will work with product management on user requirements, apply your knowledge to functional design, utilize your programming skills for efficient and robust implementation, and interact with quality assurance and field support teams throughout the entire software development cycle. Your Impact • Innovate, design, develop and improve the Next-Generation Firewall in terms of functionality and performance, working on GlobalProtect, • Own and be responsible for critical components in the Next-Generation Firewall system, • Deliver features and improvements in critical components in high quality and performance, • As an expert on networking and security, work closely with team members and cross-team to design and architect innovative solutionsQualifications Your Experience • B.S. degree in Computer Science, similar technical discipline or equivalent practical experience, Graduate degree (MS or Ph.D.) in Computer Science or similar technical discipline is preferred or equivalent military experience required, • Proficient in C programming under Linux development environment, • Experience with multi-threaded programming and large-scale, distributed, and/or high-performance software design and architect, • Verbal and written communication skills to work with multi-functional groups, • Teammate who brings a can-do attitude to a dynamic working environment and is comfortable learning new technologies and platforms, • Experience with HTTP and web server backend development, • Experience with networking development, eg. TCP/UDP, Socket programming, • Experience with Redis, SQL or NoSQL database, • Experience with Go programming Additional Information The Team To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about building products to solve problems no one has pursued before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Our engineering team is provided with an unrivaled chance to create the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people products can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $147,000/YR - $237,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We're building the next generation of planning capabilities by integrating learned models into autonomous vehicle decision-making. You'll translate neural network outputs to reliable vehicle behaviors. In this role, you will enhance our motion planner by incorporating machine learning models. You will define the interfaces, requirements, and integration strategies necessary to meaningfully improve decision-making in complex, real-world environments. In addition to this effort, you will contribute broadly to the evolution of our planning stack by developing new features, improving core algorithms, and strengthening the overall architecture. This is a high-impact role for an engineer who enjoys bridging disciplines, shaping emerging capabilities, and advancing state-of-the-art autonomy through thoughtful, rigorous engineering. What you'll do: • Incorporate neural networks into the planning stack, working closely with ML, perception, and systems teams., • Evaluate how learned inputs influence planner performance, in simulation and on-road., • Architect fallback, hybrid, or arbitration strategies that maintain safety and reliability when learned models are uncertain or degraded., • Contribute to the broader planning system by designing and implementing new planning behaviors, search strategies, optimizations, and structural improvements., • Write high-quality C++ code that meets real-time constraints and supports safety-critical deployment., • Strong software engineering skills with proficiency in C++. Python proficiency is a plus., • Experience integrating ML models or learned components into a real-time system., • A strong background in robotics, planning, optimization, and mathematics (MS, PhD, or equivalent experience)., • Industry experience in robotics or autonomous driving., • Experience working in large-scale or safety-critical systems with strict performance requirements., • Experience evaluating or interpreting ML model outputs., • Strong analytical skills, including the ability to reason about algorithmic trade-offs and system behavior., • Excellent communication skills and comfort working across teams., • Competitive compensation package including equity and annual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits), • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance, • Flexible PTO, 10 paid holidays, and generous parental leave policies, • Our office is centrally located in Mountain View, CA, • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation), • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleAs a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities • Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training., • Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks., • Integrate and improve Computer Vision algorithms to work with other models such as LLMs, • Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology., • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies., • Write up results in design documents, technical reports, and papers for publication., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience., • Preferred: PhD or equivalent research experience in Computer VisionProfessional Experience - Minimum, • Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision)., • Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation., • Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams., • Ability to effectively navigate ambiguity.Professional Experience - Preferred, • Knowledge of modern deep learning techniques and Generative AI for photography, • Experience leading research efforts and influencing other researchers., • Experience with efficiency, modularity or related topics for LLMs., • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., • Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile).

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The RoleThe Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.Key Responsibilities • Understand, analyze, profile, optimize, and provide guidance to the team on deep learning workloads on state-of-the-art hardware and software platforms to improve their efficiency with different levels of optimization, • Design and implement performance benchmarks and testing methodologies to evaluate application performance, • Build tools to automate workload analysis, workload optimization, and other critical workflows, • Triage system issues and identify bottleneck and inefficiencies by analyzing the sources of issues and the impact on hardware, network and propose solutions to enhance GPU utilization, • Support the team to develop appropriate kernels and systems for new model architectures and algorithms, • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies., • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)., • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback., • Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Ph.D. in CS, EE or CSEE with 1+ years working experience, OR

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. The Team TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict and enable carbon neutral behavior. The Opportunity We are looking for a research scientist who has expertise in and enthusiasm for building AI-backed applications that push the boundaries of human-centered science. This work will involve working closely with experts in AI and behavior science to integrate machine learning models into live applications. The researcher should be comfortable iterating prototypes rapidly as they build toward the design and development of robust systems. The researcher should have a broad range of interests spanning social science, psychology, generative AI, user experience, HCI, and design. The researcher should be able to leverage systems they build to support research projects in all of these domains and lead a research project in at least one of them.Responsibilities • Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that incorporates AI models into the design of interactive systems., • Develop real-time, full-stack, interactive prototypes across a range of modalities, including in-vehicle, web, and mobile., • Conduct basic user experience studies (e.g., heuristic evaluations, cognitive walkthroughs, Wizard of Oz, etc.) on their own., • Work with experts in human behavior to conduct more thorough evaluations of prototypes., • Adjust prototypes to support research goals and integrate extensive logging features., • Work with an engineering team to build out robust, scalable versions of their prototypes., • Support the research goals of others on the team while also advancing their own research agenda., • Stay up to date on the state-of-the-art in AI models, APIs, integration frameworks, and scalable AI model deployment solutions., • Collaborate with scientists in the Carbon Neutrality Department to shape our research program and to communicate research to Toyota partners., • Publish findings in academic journals and/or conferences., • Contribute to the technology transfer of research throughout Toyota.Qualifications, • PhD in Computer Science, HCI/Human Centered Design, Information/Information Management and Systems, or related multidisciplinary fields., • 3+ years of experience prototyping and deploying applied AI projects., • Full-stack web programming proficiency (preference for Python or similar on the backend and JS and JS frameworks and libraries on the frontend, but full-stack libraries such as Next.js/Node/React, Django, Flask, FastAPI, Laravel, etc., or also acceptable)., • Familiarity with at least one AI framework (such as PyTorch, TensorFlow, Hugging Face, or similar)., • Familiarity with at least one method of mobile prototyping (such as mobile web, iOS, or Android, or a cross-platform framework such as React Native, Flutter, or similar)., • Experience with at least one framework supporting AI model hosting and deployment to live applications (such as AWS Sagemaker/Lambda, Google Cloud Vertex AI, or Azure ML, or similar)., • Familiarity with data storage techniques (such as NoSQL/MongoDB, and/or DynamoDB, MySQL, PostgreSQL, or similar)., • Willingness to learn new frameworks., • Some experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies., • Broad knowledge of applied machine learning approaches., • Ability to work collaboratively across subject areas and functions., • Strong project management skills and a desire to work on challenging, open-ended research projects., • Demonstrated ability to work autonomously while soliciting feedback., • Strong interpersonal skills and a great teammate., • High interest in research to facilitate carbon neutrality., • Ability to communicate complex concepts clearly across different audiences.Bonus Qualifications, • Familiarity with data science toolkits (e.g., Python Pandas, NumPy, etc.)., • Knowledge of methods to support asynchronous requests (such as Celery, Redis, RabbitMQ, Amazon SQS, or similar)., • Experience with fine-tuning approaches (e.g., LoRA).

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities • Develop the foundational world model to accurately simulate the physical world., • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters., • Develop metrics and evaluation benchmarks to better assess model performance., • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation., • Optimize inference efficiency to enable real-time interaction. Areas of Focus, • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale., • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data., • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction., • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation., • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence., • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience, • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork., • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

Job DescriptionDescriptionThe Ameswell is a hotel for the innovator and adventurer in everyone. Like the community we serve, we are inspired by art, nature, innovation, and technology. Whether it's keeping you connected or unplugged, working or unwinding—our rooms, common spaces, and grounds are designed to support your work and play. Join us for something different that you cannot find anywhere else. Responsibilities · Assisting in Managing Day-to-Day Operations · Assists in the ordering of F&B supplies, cleaning supplies and uniforms. · Conduct daily stand up for each outlets. · Supervises daily F&B shift operation and ensures compliance with all F&B policies, standards and procedures. · Assist in weekly inventory of Food and Beverage of all Outlets. · Operates all department equipment as necessary and reports malfunction. · Supervises staffing levels to ensure that guest service, operational needs, and financial objective are met. · Encourages and builds mutual trust, respect, and cooperation among team members. · Develops specific goals and plans to prioritize, organize, and accomplish your work. · Celebrates and fosters decisions that result in successes as well as failures. · Communicates areas that need attention to staff and follows up to ensure understanding. · Coordinates cleaning program in all F&B areas (including General clean), identifying trends and making recommendation for improvements. · Stays readily available/ approachable for all team members. · Demonstrates knowledge of the brand specific service culture. Ensuring Exceptional Customer Service · Provides services that are above and beyond for customer satisfaction and retention. · Serves as a role model to demonstrate appropriate behaviors. · Manages day-to-day operations, ensuring the quality, standards and meeting the expectations of the customers on a daily basis. · Takes proactive approaches when dealing with guest concerns. · Sets a positive example for guest relations. · Stays readily available/ approachable for all guests. · Reviews guest satisfaction results with employees. · Responds in a timely manner to customer service department request. Additional Responsibilities · Provides information to supervisors and co-workers by telephone, in written form, e-mail, or in person. · Analyzes information and evaluates results to choose the best solution and solve problems. · Performs hourly job function if necessary. · Extends professionalism and courtesy to team members at all times. · Comprehends budgets, operating statements and payroll progress report. Qualifications · Assists in the ordering of F&B supplies, cleaning supplies and uniforms. · Conduct daily stand up for each outlets. · Supervises daily F&B shift operation and ensures compliance with all F&B policies, standards and procedures. · Assist in weekly inventory of Food and Beverage of all Outlets. · Operates all department equipment as necessary and reports malfunction. · Supervises staffing levels to ensure that guest service, operational needs, and financial objective are met. · Encourages and builds mutual trust, respect, and cooperation among team members. · Develops specific goals and plans to prioritize, organize, and accomplish your work. · Celebrates and fosters decisions that result in successes as well as failures. · Communicates areas that need attention to staff and follows up to ensure understanding. · Coordinates cleaning program in all F&B areas (including General clean), identifying trends and making recommendation for improvements. · Stays readily available/ approachable for all team members. · Demonstrates knowledge of the brand specific service culture. BenefitsBenefits: • 401(k), • 401(k) matching, • Dental insurance, • Employee discount, • Flexible schedule, • Health insurance, • Paid time off, • Paid training, • Vision insurance

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. Your Impact * Participate in the design and implementation of Advanced Threat Prevention cloud services for public cloud and private cloud features * Participate in all phases of the product development cycle, from definition, design, through implementation and test * Provide real-time security services to customers * Work with PLM on new feature requirement * Work with QA and DevOps on new release deployment * Work with support to handle customer issues * Work with security researchers and data scientist on a new feature request Qualifications Your Experience * BS/MS in Computer Science or Computer Engineering * Solid programming skills in GoLang, Python or Java * Solid knowledge and skills on Linux * Solid skills with Kubernetes and Docker * Rich GCP experience is a plus * Solid knowledge of web servers/proxies such as NGINX, envoy * 3 years of working experience on data infrastructure platforms * Strong micro-service development experience * Rich Experience with SQL and No-SQL DB technologies such as MySQL, Redis * Hands-on experience with the queuing system such as RabbitMQ, Kafka, experience with Pub/Sub is a plus * Solid skills in multi-threads and multi-processes programming and experience in a distributed system are preferred * DevOps experience a plus * Teamwork, problem-solving and a can-do attitude Additional Information The Team We are the Advanced Threat Prevention Infrastructure team. Our engineering team is at the core of our products – deliver the best of security services on the cloud to prevent cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126,000 - $204,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Role: Founding Applied Researcher Location: San Francisco, CA Commitment: Full-Time, In Person Salary: up to $300k + 2% equity Must have previous AI/Multimodal/Generative systems experience About the Role Our client are building a fast-growing marketplace connecting elite creative talent award-winning artists, filmmakers, designers, and musicians with leading AI labs developing next-generation generative media models (e.g., state-of-the-art video, audio, and multimodal systems). A small, high-talent-density team with backgrounds from top universities and research-driven organizations, backed by founders and senior researchers from frontier AI labs and industry-leading research groups. They value initiative over instruction, autonomy over consensus, and reward exceptional talent with exceptional upside both in compensation and impact. Role Overview As a Founding Applied Researcher, you will design and build the next generation of generative media benchmarks evaluations that meaningfully push the boundaries of what foundation models can understand, generate, and perform. You will collaborate directly with researchers at frontier labs and fast-moving startups, helping define evaluation standards for multimodal and generative systems. This is a rare opportunity to own critical research efforts from day one, work on deeply novel challenges, and shape the direction of the field. What You’ll Do • Design, develop, and validate new benchmarks that test advanced real-world capabilities in generative media models, • Create novel evaluation methodologies, including dataset construction, task formulation, and scoring frameworks, • Collaborate closely with researchers at leading AI labs to identify gaps in existing evaluation pipelines and define new standards, • Prototype and iterate rapidly, balancing scientific rigor with practical constraints, • Influence research direction and help define best practices for a growing applied research organization What We’re Looking For Academic & Research Background • Master’s degree or PhD in Machine Learning, NLP, Computer Science, or a related field, • Exceptional undergraduates with strong research track records are also encouraged to apply, • Strong proficiency in Python for research, prototyping, and experimentation, • Experience with evaluation, benchmarking, or model analysis, • Strong initiative and comfort operating autonomously, • Eagerness to tackle open-ended problems with no established playbook, • Competitive equity package with true founding-level ownership, • Opportunity to define foundational research culture and influence product direction from inception

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career We are looking for a Principal Program Manager to join the Palo Alto Networks Data & Analytics team. This is a unique hybrid role for a leader who loves to build. You will wear two hats: driving critical internal programs for the D&A organization and leading a transformative, company-wide Data Governance initiative. The ideal candidate is a strategic operator with a background in data who is not afraid to roll up their sleeves. You are a strong communicator who can navigate complex stakeholder maps, but you are equally adept at the technical level—understanding metrics, data objects, and pipelines. We are looking for someone who balances the "art" of program management with the "science" of data, using technical skills and AI to accelerate execution rather than just managing timelines. Your Impact • Data Autonomy & AI Acceleration: You act as a force multiplier by leveraging AI tools to accelerate documentation, synthesis, and workflows. You possess the technical solidity to dig into the data yourself—validating insights via SQL or building your own dashboards—to drive decision-making without waiting on engineering cycles., • Company-Wide Data Governance: Lead the charge on our enterprise data governance initiative, translating complex data policies into actionable programs that improve data quality, security, and accessibility across the company., • Program Delivery Leadership: Drive successful execution of large, cross-functional programs from inception to go-live. You will identify cross-functional dependencies, anticipate risks, and manage business and IT stakeholder expectations., • Stakeholder Management: Engage effectively with senior executives and project teams. You will provide clear reporting while tactfully balancing strict accountability and timelines with empathy, ensuring alignment across parties even when priorities compete., • Functional & Technical Acumen: Utilize knowledge of go-to-market and finance operations to shape tech-driven programs. You bridge the gap between business needs and technical reality, working seamlessly with product and engineering., • Process Optimization: Implement and drive continuous improvement processes across program delivery, utilizing consulting frameworks to refine how we deliver value., • Risk & Issue Management: Proactively identify and mitigate risks, leveraging your functional and technical insights to solve problems before they become blockers. Qualifications Your Experience • 8+ years of Program Management experience, with a strong track record of driving large-scale, complex projects in a fast-moving, agile environment., • Specialized Governance Experience: We are specifically interested in candidates who have led Data Governance programs or managed portfolios internal to IT/Data organizations., • Technical Data Skills: You are comfortable working with data directly. Experience with basic SQL for querying and dash-boarding tools (e.g., Tableau, Looker, or PowerBI) to visualize program metrics is highly preferred., • Domain Knowledge: Good understanding of go-to-market domains and technologies, with experience managing tech-focused programs., • Leadership & Soft Skills: Strong leadership skills with the ability to motivate cross-functional teams in high-pressure environments., • Communication: Exceptional presentation skills, capable of engaging both technical engineers and non-technical business leaders., • Strategic Balance: Ability to switch gears between high-level strategic thinking and operational execution., • Location: Local SF Bay Area Candidates who can be onsite 3 days/week. Additional Information The Team You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects — centered on what we believe is one of the most significant mission statements in the world. We also strive to be the most people-centric company ever! That means we’re constantly working to make your experience amazing, and you are part of the team breaking boundaries of what the workplace can be! Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $155,000 - $251,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.