Phd computer science jobs in Sunnyvale, California - Page 2Create job alerts

As the Senior Principal Engineer AI-based Autonomous Driving Systems, your primary objective will be to leverage your expertise to drive the development and deployment of AI technology for automated driving at Bosch. Master or PhD in Computer Science, Electrical Engineering or similar. Proven leader

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. What You'll Learn • Project Overview: Memory solution to for LLM, • Skills You'll Learn:, • Memory pooling devices, • CPU/GPU profiling Collaborate with MSL teammates to research innovation solution for AI/ML workload Reports to: Principal Engineer Req ID: 42708 • Collaborate with other researchers in the team to develop innovative memory solutions for AI/ML workload., • Performance profiling of GPU/GPU/Accelerator system to analyze the bottleneck., • Characterize device performance and identify architecture tradeoffs between memory and computation., • Design simulation models for new architecture solution and collect data for publication., • Generate research patent/IP report/publication and give talks on the learning., • Pursuing PhD in Computer Science or Electrical/Computer Engineering preferred., • Must have at least 1 academic quarter/semester remaining of computer architecture., • Required knowledge, achievements, and skillsets of C/C++, AI/ML framework, LLM models, hands on experience with CPU/GPU server hardware., • Publication and research experience in HW/SW co-design, FPGA acceleration preferred., • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-AD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move. Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Hourly Base Pay Rate$28—$62 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant Privacy Policy

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do • Design and develop comprehensive hardware/software co-verification/validation tools and infrastructure for emerging memory-centric AI acceleration products/solutions., • Work with other hardware/software architects to invent new/refine existing custom-precision algorithms for future products, and contribute to feasibility studies., • Create key IPs, craft and present value-driven business cases, write or publish peer-reviewed papers and/or new product/technology whitepapers., • BS in Computer/Electrical Engineering or Computer Science with 5+ years of working experiences in silicon development or MS in Computer/Electrical Engineering or Computer Science with 3+ years of relevant working experience or PhD and 0+ years of relevant working experience preferred., • Prior experience simulating/emulating custom/mixed precision AI accelerator arithmetic operations., • Prior hardware/software co-verification/validation experience and ability to collaborate with both the hardware and the software teams effectively., • Hands-on experience and skill in deploying new deep learning models on heterogeneous hardware backends., • Prior experience in the design, development, and optimization of algorithms and acceleration kernels on FPGAs for application offload/acceleration., • Prior experience in performance profiling and bottleneck analysis is a plus., • Must be highly motivated with excellent verbal and written communication skills, and ability to thrive in a collaborative, multi-disciplinary environment. #LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range$134,400—$201,600 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Applicant Privacy Policy

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 The WildFire Team, part of the Cloud Delivered Security Service (CDSS) organization, is dedicated to relentlessly innovating and delivering cutting-edge security services that automatically prevent cyberattacks. Our engineering and Security Research team forms the core of our products, providing top-tier cloud security services to combat cyber threats. We challenge conventional thinking in cybersecurity, empowering our teams to tackle and solve unprecedented problems. As a Security Researcher on this team, you will play a crucial role in developing automated defenses against emerging and sophisticated file-based threats and malware. Your expertise will be instrumental in translating deep threat knowledge into scalable, productized detection capabilities. Your Impact * Direct the in-depth analysis of emerging malware and sophisticated file-based threats from high-volume artifact data, maintaining an authoritative understanding of the threat landscape, actors, and attack vectors. * Design and validate novel detection methods by leveraging data science techniques, including statistical modeling and machine learning, to automatically identify threats at scale. * Translate research prototypes into robust, scalable, and extensible detection and prevention systems. Participate in the full software lifecycle, from architectural design through deployment. * Serve as the critical link between research and engineering, transforming discoveries into impactful product features. Establish industry expertise through white papers and presentations. Qualifications Your Experience * 3+ years of hands-on experience in malware analysis & detection (static and dynamic), threat research and reverse engineering on common file formats (PE, ELF, PDF, Office, Scripts, etc). * Experience developing high-performance, scalable tools or systems for automated analysis and threat detection. * Proficiency in at least one of the programming languages: Python, Golang, C. * Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research. * Excellent communication (written and verbal) and presentation skills; * Experience with public cloud development, e.g., GCP, AWS, Azure is a plus * Knowledge of AI/ML and experience in data driven approaches is a plus. * Hands on and can-do attitude, willing to learn new technologies. * Be comfortable working independently and efficiently. * BS/MS in Computer Science or related fields with security research experience; PhD in cybersecurity is a plus. 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 $139600/YR - $225750/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 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 take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career The DNS Security Research team is responsible for delivering high quality content to our products to prevent successful cyberattacks, with a special focus on DNS security, network security, privacy protection, etc. We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks. Your Impact • Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.;, • Design and build scalable and extensible prevention/detection systems;, • Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques;, • Convert research results and discoveries into products, research papers, etc.Qualifications Your Experience • BS/MS in Computer Science or related fields with security research experience; PhD in Cyber Security or Machine Learning is a plus., • Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research;, • Expertise in DNS and DNS security;, • Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting;, • Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats;, • Excellent programming skills in Python, Shell script, Go, or SQL;, • Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.);, • Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery;, • Be comfortable working independently, efficiently;, • Excellent communication (written and verbal) and presentation skills;, • Experience with malware traffic analysis is a plus;, • Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus;, • Experience with Google Cloud Platform is a plus;, • Proven success (past publication record, open source project contributions) is a big plus. Additional Information The Team We are on a mission to build the industry's best Security large language model. 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 $136000 - $219000/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 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 The WildFire Team, part of the Cloud Delivered Security Service (CDSS) organization, is dedicated to relentlessly innovating and delivering cutting-edge security services that automatically prevent cyberattacks. Our engineering and Security Research team forms the core of our products, providing top-tier cloud security services to combat cyber threats. We challenge conventional thinking in cybersecurity, empowering our teams to tackle and solve unprecedented problems. As a Security Researcher on this team, you will play a crucial role in developing automated defenses against emerging and sophisticated file-based threats and malware. Your expertise will be instrumental in translating deep threat knowledge into scalable, productized detection capabilities. Your Impact * Direct the in-depth analysis of emerging malware and sophisticated file-based threats from high-volume artifact data, maintaining an authoritative understanding of the threat landscape, actors, and attack vectors. * Design and validate novel detection methods by leveraging data science techniques, including statistical modeling and machine learning, to automatically identify threats at scale. * Translate research prototypes into robust, scalable, and extensible detection and prevention systems. Participate in the full software lifecycle, from architectural design through deployment. * Serve as the critical link between research and engineering, transforming discoveries into impactful product features. Establish industry expertise through white papers and presentations. Qualifications Your Experience * 8+ years of hands-on experience in malware analysis & detection (static and dynamic), threat research and reverse engineering on common file formats (PE, ELF, PDF, Office, Scripts, etc). * Experience developing high-performance, scalable tools or systems for automated analysis and threat detection. * Proficiency in at least one of the programming languages: Python, Golang, C. * Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research. * Excellent communication (written and verbal) and presentation skills; * Experience with public cloud development, e.g., GCP, AWS, Azure is a plus * Knowledge of AI/ML and experience in data driven approaches is a plus. * Hands on and can-do attitude, willing to learn new technologies. * Be comfortable working independently and efficiently. * BS/MS in Computer Science or related fields with security research experience; PhD in cybersecurity is a plus. 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 $188000/YR - $303050/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 Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking a highly motivated Staff Cloud Backend Engineer for AI Applications to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for designing and implementing large-scale data processing pipelines and building the cloud infrastructure to support our AI applications. You'll use your deep expertise in cloud architecture and backend development to make critical decisions that span data processing, API design, and cloud service deployment. This is a key leadership position for a hands-on engineer who will define our data governance, infrastructure as code, and production observability best practices. Roles and Responsibilities: • Design and build the foundational, end-to-end cloud and backend platform for our Generative AI systems. You'll make critical decisions that span data processing, API design, and service deployment., • Build and scale the data pipelines that are the lifeblood of our applications. This includes processing massive datasets and creating the real-time data flows for our AI systems. You will design and implement large-scale data processing pipelines that handle a diverse set of data collected from millions of vehicles., • Deploy, scale, and optimize our cloud infrastructure. You will manage hardware resources, minimize inference latency, and build robust monitoring to ensure our AI system is always fast, accurate, and cost-effective. This includes developing and deploying containerized applications using Docker and Kubernetes., • Create a single, cohesive set of best practices for the entire application lifecycle. Your work will define how we handle data governance, infrastructure as code, and production observability in one seamless system., • Design secure and scalable networking layers within cloud environments, including VPC design, private/public subnet configurations, NAT/Internet gateways, and load balancers., • Implement and manage core infrastructure services such as DNS, routing, and service discovery to ensure reliable, low-latency access to cloud services., • Automate infrastructure deployment using Infrastructure as Code (Terraform, Pulumi, etc.), ensuring repeatability across cloud environments., • Deliver production-ready CI/CD pipelines for automated provisioning and deployment of containerized workloads.Requirements:, • A seasoned engineer with 8+ years of experience building and scaling data-intensive, cloud-based services and applications., • Hands-on experience with cloud networking constructs (VPC, subnets, route tables, gateways, security groups, load balancers, and DNS)., • Deep expertise in deploying and managing cloud-native workloads on various cloud environments., • Strong understanding of cloud networking, identity, and security principles (e.g., IAM, private networking, TLS/SSL, ingress/egress)., • Proven track record of designing highly available and fault-tolerant architectures across multiple regions/zones., • A "systems thinker" with a demonstrated ability to architect end-to-end solutions, possessing a strong foundation in both Data Engineering and Cloud/Backend Software Development., • Deep proficiency in Python and/or Go with an emphasis on Infrastructure as Code., • Strong programming fundamentals, particularly in data structures & algorithms, and concurrency., • Hands-on experience with containerization/orchestration (Docker, Kubernetes)., • Experience building and optimizing highly available, scalable, distributed backend services leveraging open source technologies and tools such as Kafka, RabbitMQ, and ElasticSearch., • Experience with developing data pipelines and database-supported cloud services and applications., • Ability to deeply analyze, break down, and solve complex problems., • Good verbal and written communication skills, with the ability to explain complex ideas and solutions clearly, and to collaborate with cross-functional teams effectively., • Stock option plan, • Health care plan (Medical, Dental & Vision), • Retirement plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off (Vacation, Sick & Public Holidays), • Family leave (Maternity, Paternity), • Flexible work arrangements

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 take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We are seeking a security research engineer to join our pioneering security team. This role is for a technical expert passionate about deconstructing complex threats and building the next generation detection systems. You will be responsible for leading our efforts in threat research, which demands a deep background in malware reverse engineering. You will also spearhead the design and implementation of innovative security solutions using generative AI, large language models (LLMs), and agentic systems to automate and scale our detection and analysis capabilities, keeping us ahead of sophisticated adversaries. Your Impact • AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. This encompasses defining the model architecture, sourcing and preparing data, building and managing training pipelines, deploying models into production, and monitoring their performance. Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems. Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline threat intelligence processes, • Research & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI for security, • Collaboration & Communication: Work closely with cross-functional teams, including other security services: threat prevention, internet security and IoT security, endpoint security to integrate and deliver sustainable and quality coverage and defenseQualifications Your Experience • BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience or equivalent military experience required, • 4+ years of experience in a research or engineering role, demonstrated experience in leading machine learning projects in malware domain or detection systems, including a strong understanding of model development, data preprocessing, and deployment, • Proven experience in the complete software development lifecycle, with proficiency in one or more programming languages (e.g., Python, Go, C++), • Strong experience in reverse engineering, system security, threat research, malware/code analysis or vulnerability research is a big plus, • A proven track of top tier publications in cybersecurity related areas is a big plus, • Demonstrated experience in leading machine learning projects, including a strong understanding of model development, data preprocessing, and deployment is a plus, • Solid understanding of the threat landscape, including common attack vectors, malware techniques, and threat actor tactics is a plus 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 $157000/YR - $255000/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 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 take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations * Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. * Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies. * Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations. * Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. AI/ML Innovation & Business Impact * Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. * Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability. * Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. * Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. Qualifications Your Experience * 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering. * Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. * Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. * Prior experience developing dashboards in Tableau/Looker or similar data viz platform. * Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled. * Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost). * A solid command of SQL for complex querying and data manipulation. * Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. Preferred Qualifications * Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space. * Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. * Experience in evaluating and optimizing the performance of AI systems or agents. * Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. * An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. 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 $143000- $231000/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? No. Please note that we will not sponsor applicants for work visas for this position.

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 Machine Learning Engineer at the Institute of Foundation Models, your primary responsibility is to develop and implement innovative machine learning models that address real-world challenges, pushing the boundaries of artificial intelligence research. You will collaborate with cross-functional teams to deploy scalable solutions, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide.Key Responsibilites • Collaborate with Research teams to understand technologies, adapting and integrating them into codebase., • Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models., • 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., • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality., • Contribute to research papers and 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: Bachelor’s degree or equivalent practical experience., • 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision., • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting., • 2 years of experience with data structures or algorithms in either an academic or industry setting., • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing., • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams.Professional Experience - Preferred, • 2 years of experience with improving performance during large scale data processing, • Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).

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 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 take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff AI Scientist for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact Your Impact • AI Solution Implementation: Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications., • Platform Development: Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security. Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems., • System Optimization: Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications., • Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations., • Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers., • Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence., • Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions., • Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring., • Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs.Qualifications Your Experience * 8+ years in software engineering, with 5+ years in Data science/AI/ML experience. * Experience deploying enterprise AI/ML systems. * Understanding of the AI lifecycle. * Experience with distributed systems and streaming data. * Hands-on experience with Generative AI and LLMs. * Proficiency in AI/ML frameworks and cloud platforms. * Strong programming skills (Python and C++). * Excellent communication skills. * Masters/Bachelors degree in Computer Science or related field. Preferred Qualifications: * PhD degree in Computer Science , Applied Mathematics , Machine Learning or related computation field. * Experience with open-source AI projects. * Prior technical lead role for AI/ML projects. * Familiarity with cybersecurity principles for AI. What we are looking for? * Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn). * Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact. * System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems. Understanding of MLOps and data engineering principles. * Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts. * Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction. * Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams. * Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes. * Continuous Learning: Passion for staying up-to-date with the latest advancements in AI. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. 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. 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 Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. What You'll Do At Samsung Semiconductor Inc, we are always working on innovating for the next-generation wireless mobile platform architecture. As we grow our business in the wireless mobile applications, we're looking for a talented RF system architect with strong technical background and hands-on experience in RF systems or RFIC engineering to join us to craft our next-generation wireless mobile platform solution. You'll have the unique opportunity to define "best-in-class" RFFE and RFIC architecture, bring new RF concepts and features to the platform, and optimize overall platform RF performance, with emphasis on emerging 6G RF-modem system applications. We value your relevant industrial experience in cellular (2G/3G/4G LTE and 5G NR) applications. You will work closely with RFFE vendors, internal RFIC and Modem systems teams to develop SOC and platform architecture, define key RFIC and RFFE specifications, and RF-modem algorithm requirements for next-generation wireless mobile platform solution. Come join us, bring your passion and dedication to innovate and deliver products which enrich people's lives! Location: Daily onsite presence at our San Jose office/headquarters in alignment with our Flexible Work policy Job ID: 42646 • Define next-generation cellular RF-Modem system architecture for emerging 6G applications using system level analysis tools such as: Excel, MATLAB, Python, and/or SystemVue., • Collaborate with RFFE partners and RFIC design team to define SOC RF specifications and drive differentiation in the RF transceiver sub-system definition., • Bachelors with 15+ years of relevant industry experience, or Masters with 13+ years or PhD with 10+ years in Electrical Engineering, Computer Science or related field preferred., • MS in Electrical Engineering, with emphasis on RF circuits and systems, Applied EM, Microwave engineering, Digital Signal Processing, and/or Communication Systems; PhD is preferred., • 5+ years in RF systems engineering experience, with expertise in 'RF-to-modem' system architecture design., • Ability to co-work and succeed in a multi-functional and multi-national work environment with confidence to present comfortably to technical audiences., • In-depth knowledge of 5G NR FR1/FR2/FR3 cellular radio standards and carrier requirements, • Experience in RFIC design with a strong understanding of RF systems and a keen interest in the field., • Experience in defining cellular receiver architecture for CA-rich applications with various receiver desense mitigation mechanisms considered, • Strong knowledge of RF systems design concepts, advanced transceiver architecture, and modem dependent issues, • Experience in translating standards or customer's requirements into RF system specifications, RFFE/RFIC architecture implications and platform design optimization, • Hands-on experience in RF system lineup modeling and analyzing RF-Modem system KPIs, • Hands-on experience in receiver AGC design and optimization, • Strong technical writing and presentation skills., • Sound knowledge of communication systems theory and digital signal processing principles and applications., • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range$180,950—$289,050 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Applicant Privacy Policy

Job DescriptionAre you a person who enjoys helping others? Are you currently seeking fulfillment in your professional life? Hope Services is Silicon Valley’s leading provider of services to people with developmental disabilities and mental health needs. We seek candidates who share our inspirations & aspirations. Selection of staff is made on a competitive basis, and we are committed to promoting diversity, equity, inclusion & belonging at all levels.. >>>>> Hope Services has been awarded 2022 Top Workplaces by San Francisco Chronicle, 2022 Top-rated Nonprofit by Great Nonprofits, and Received a Gold Seal of Transparency from Guidestar and a perfect 100/100 rating in three different categories: financial health, leadership and adaptability, and culture and community from Charity Navigator <<<<< We are currently seeking Vietnamese-speaking Licensed or Pre-Licensed Mental Health Clinicians for our world-class Mental Health Services program! *Salary Range: $5,815.42 - $10,762.50/month commensurate with experience and qualifications Hope Services offers an OUTSTANDING benefits package, including Medical, Dental, Vision, 401(k) Retirement, Life Insurance, Tuition Reimbursement and a comprehensive Scholarship Program, Generous Paid Vacation and Sick Time accrual plans and more! About the Mental Health Clinician role: Mental Health Clinician - PurposeUnder clinical supervision, the Mental Health Clinician provides assessment and diagnosis to clients with dual diagnosis, provides individual, group and family psychotherapy, prepares individual service and coordination plans, documents clinical outcomes and acts as an advocate. Mental Health Clinician - Principal ResponsibilitiesThe following responsibilities represent the essential functions of the position. An employee in this classification is responsible for carrying the following functions:1. Provides individual, group and family therapy to persons with a developmental disability who are diagnosed with severe mental illness.2. Utilize professional education and training to diagnose and treat the clients’ mental illnesses.3. Provide psychotherapy to empower clients to identify and manager their psychiatric symptoms to enable them to be maximally functional in the larger community.4. Constantly assess clients for potential harm to self, harm to others, or potential victimization and take appropriate measures to maintain safety. This includes, initiate involuntary hospitalizations when necessary to maintain safety.5. Provide 24-hour on-call crisis intervention.6. Use professional training and credential to advocate for clients with other agencies, educate other agencies to recognize and deal with the needs of clients who have a developmental disability and are diagnosed with a mental illness.7. Develop relapse prevention strategies with clients and their support systems to prevent future psychiatric hospitalizations and loss of community placements.8. Participate as an integral part of a multi-disciplinary team designed to maximally meet the psychiatric and psychological needs of clients.9. Regularly attend training to update and keep current skills and maintain license.10. Maintain appropriate treatment records and documentation as required.11. Other duties as assigned to assure efficiency of the program. Mental Health Clinician - Minimum Qualifications The Mental Health Clinician should be enrolled in a Masters or Doctoral degree program (MSW, MFT, PhD) that is eligible for licensure to provide psychotherapy by the Board of Behavioral Science Examiners, or the Board of Psychology. Qualifications of the Licensed Mental Health Clinician:The Licensed Mental Health Clinician should possess current licensure current as a LCSW, LMFT, or Clinical Psychologist and experience working with persons with developmental disabilities. All licensed clinicians, upon hire or upon obtaining licensure, are required to be Medicare credentialed by submitting a Medicare enrollment application. Mental Health Clinician - Required Knowledge, Skills and Abilities 1. Basic computer skills in work processing and spreadsheet application.2. Ability to observe, evaluate, document and communicate verbally and in writing.3. Ability to accept supervision and work cooperatively as a team member with co-workers as well as with the client and community resources.4. Knowledge of disabilities and the biological, psychological and social models.5. Ability to utilize critical thinking skills in decision making situations, good organizational and record keeping skills, and good independent judgment.6. Knowledge of psychotherapy.7. Knowledge and understanding of multidisciplinary team and family dynamics.8. Ability to be flexible with scheduling and prioritization of tasks. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Primarily works in an office environment. Long periods of sitting. Some use of computer for record keeping, periods of intense concentration. Some travel to satellite locations, exposure to outdoor conditions.Do you have what it takes to make a difference? Inspire and be inspired! Hope Services takes immense pride in maximizing our employee engagement. Will you join us?? Visit to find out more about us and the people we serve. Hope Services is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees not regardless of, but with consideration and appreciation for race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family or parental status, or any other status.

Job DescriptionOur mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users. We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. THE ROLE As part of a small and dynamic team, you'll play a pivotal role in developing imaging technology for camera capture while creating augmented reality experiences that enhance human perception. The scope of these projects will encompass camera color processing, developing features related to human color perception, and prototyping with tools like Unity/Blender for object rendering.WHAT YOU'LL DO • Develop perceptual features that enhance MR/AR realism by modeling human vision and color perception, • Research and develop computer vision and machine learning algorithms for photographic imaging processing, • Build platforms for objective and subjective evaluation of virtual object rendering using psychophysical methods, • Design and implement real-time display color processing pipelines leveraging GPU, CPU/MCU, or hardware-accelerated resources., • Prototype MR/AR demos using Python, MATLAB, Blender, Unity, and C#, • Research and develop computer vision and machine learning algorithms for ambient light estimation and photorealistic object rendering, • Work with cross-functional teams and provide leadership and expertise for new project development and productizationWHO YOU ARE, • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields, • Background in image processing and computer vision, • Proficient in programming languages such as Python and C++, • Experience with 3D tools such as Unity, Blender and Maya*, • Hands-on experience in camera or display pipelines for embedded systems, mobile devices, or Android platforms., • Strong background in user experience, machine learning, computer vision, VR & AR, • Strong communication skills for working with cross-functional teams, • Understanding of light sensor, image sensor, camera and display hardware systems*, • Experience in 3D computer graphics, lighting and shading*, • Proof of eligibility to work in the United StatesCOMPENSATION & BENEFITS, • The annual compensation includes equity (per qualifications), • The annual salary range for this position is $125,000 to $150,000 plus equity (per qualifications), • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors, • Health Insurance - Medical, Dental, Vision and Life Insurance, • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more

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 • Lead MLOps architecture: Design and implement scalable ML platforms, CI/CD pipelines, and deployment workflows across cloud and hybrid environments, • Operationalize ML models: Build automated systems for training, testing, deployment, monitoring, and rollback of ML models in production, • Ensure reliability and governance: Implement model versioning, reproducibility, auditing, and compliance best practices, • Drive observability & monitoring: Develop real-time monitoring, alerting, and logging solutions for ML services, ensuring performance, drift detection, and system health, • Champion automation & efficiency: Reduce friction between data science, engineering, and operations by introducing best practices for infrastructure-as-code, container orchestration, and continuous delivery, • Collaborate cross-functionally: Partner with ML engineers, data scientists, security teams, and product engineering to deliver robust, production-ready AI systems, • Lead innovation in MLOps: Evaluate and introduce new tools, frameworks, and practices that elevate the scalability, reliability, and security of ML operations, • Optimize ML infrastructure for cost efficiency and reduced bootstrapping times across various environments.Qualifications Your Experience • MS / PhD in Computer Science, Engineering, or related field, or equivalent military/industry experience, • 8+ years of software/DevOps/ML engineering experience, with at least 3+ years focused on MLOps or ML platform engineering, • Strong programming skills (Python, Go, or Java) with deep expertise in building production systems, • Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker), • Proven experience in ML infrastructure: model serving (TensorFlow Serving, TorchServe, Triton), workflow orchestration (Airflow, Kubeflow, MLflow, Ray, Vertex AI, SageMaker), • Hands-on experience with CI/CD pipelines, infrastructure-as-code (Terraform, Helm), and monitoring/observability tools (Prometheus, Grafana, ELK/EFK stack), • Strong knowledge of data pipelines, feature stores, and streaming systems (Kafka, Spark, Flink), • Understanding of model monitoring, drift detection, retraining pipelines, and governance frameworks, • Ability to influence cross-functional stakeholders, define best practices, and mentor engineers at all levels, • Passion for operational excellence, scalability, and securing ML systems in mission-critical environments 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 - $165000 - $210000/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? No. Please note that we will not sponsor applicants for work visas for this position.

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 The Automated Driving Advance Development division at TRI focuses on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. The Automated Driving Advance Development team is leading a new cross-organizational project between TRI and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models (LBM). The Opportunity We are looking for a Senior Machine Learning Researcher to join us in developing a state-of-the-art, pixels-to-action, end-to-end system for automated driving. As an expert in machine learning, you will contribute to designing and developing innovative models for our autonomy stack and deploying them on vehicle platforms to solve daily driving tasks and handle long-tail scenarios. An ideal candidate has a strong track record of leading independent research efforts, preferably including mentoring and collaborating with less experienced students and researchers. You will help to drive our exploration into end-to-end learning approaches for automated driving, using large-scale sensor data directly for perception, planning, and prediction to overcome traditional "information bottlenecks." This includes expanding our successful Large Behavior Model (LBM) robotics efforts and Diffusion Policy (DP) research into the driving domain, designing scalable architectures, and integrating visual-language-action modalities. Beyond refining models for closed-loop driving on public roads and in simulation, you will also explore data quality filtering, transfer learning from diverse data sources, and edge deployment optimization. This work is part of Toyota’s global AI efforts to build a more coordinated global approach across Toyota entities.Responsibilities • Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative AI (e.g., recent results in diffusion policy [1],[2]) for end-to-end perception, planning, and prediction in automated driving with a focus on computer vision as the primary sensing modality., • Research and implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage., • Prototype, validate, and iterate model architectures using imitation learning and large-scale data, ensuring robust performance across diverse scenarios., • Perform closed-loop evaluations in sensor simulations and real-world testing environments to rigorously assess model performance, stability, and scalability., • Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, using external data sources and transfer learning to enhance generalization., • Collaborate with researchers and engineers across TRI, Woven by Toyota, and Toyota’s global ecosystem to accelerate model deployment and evaluation in both controlled environments (closed-course) and public road driving., • Take the lead on writing and publishing research results in peer-reviewed venues.Qualifications, • A PhD or equivalent experience in a robotics-relevant or embodied-AI field such as Computer Science, Mathematics, Physics, or Engineering., • A consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.), • A consistent track record of independent research., • Demonstrated ability to independently formulate and complete a research agenda while collaborating across subject areas., • Experience training large-scale models, including foundation models (e.g., vision-language models, text-to-video models)., • Proficiency in Python and C++ for implementing and evaluating research ideas.Bonus Qualifications, • Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, and model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation)., • Experience in developing production-level code for real-time operating systems.

Job Description Join a high-performing team at Sonatus that's redefining what cars can do in the era of Software-Defined Vehicles (SDV). At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Sonatus is headquartered in Sunnyvale, California with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan, and Japan. This is a hybrid position at our Sunnyvale location. The Opportunity Sonatus is seeking a highly motivated Senior AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems. We embrace a hybrid work environment, and require this person to come into our Sunnyvale HQ 3 days a week to collaborate with peers and management. Role and Responsibilities • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges., • Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth)., • Strong domain expertise in the AI area including LLM. Computer Vision, Time Series, RAG, fine-tune large models, traditional ML models, etc., (AI depth)., • Stay current with industry trends and advancements in data science and AI technologies, (State-of-the-Art)., • Perform data analysis and offer insights to inform business decisions across multiple domains., • Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information., • Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions., • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations., • Take charge of projects, ensuring timely completion in a dynamic work environment.Requirements, • Bachelor degree in computer science, engineering, mathematics, applied sciences or similar field., • Master's or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred., • 5+ years of professional experience working with machine learning algorithms, AI technologies, and platforms., • Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)., • Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and proficiency in SQL., • Solid experience in data preprocessing, feature engineering, and model evaluation techniques., • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus., • Strong knowledge of software development best practices, version control systems, and agile methodologies., • Results-driven with a positive can-do attitude and excellent problem-solving skills., • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams., • Competitive compensation and equity program, • Health care plan (Medical, Dental & Vision), • Flexible and Dependent Care Expense program, • Retirement plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Unlimited paid time off per year, 15 paid holidays, • Complimentary lunches, snacks, and beverages during on-site working days, • Wellness benefit allowances (towards gym membership and fitness programs), • Internet reimbursement, • Computer Accessory AllowanceRecent Publications:

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 Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. What You'll Learn • Project Overview: H/W, S/W co-design of AI accelerators, • Skills You'll Learn:, • Microarchitecture of AI accelerators The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA headquarters in alignment with our Flexible Work policy Reports to: Senior Director, AI/ML Computer Architecture • Research novel techniques in collective communications for high-performance deep learning applications., • Research design space exploration methodology and pruning for efficient architecture exploration., • Design algorithms and microarchitectural features to optimize data locality to minimize energy consumption., • Work closely with the compiler team to integrate new ML techniques and algorithms into the compiler., • Contribute to ML compiler and architecture research and write research papers., • Stay up-to-date with the latest trends and advancements in the field of ML architectures., • Pursuing Masters, or PhD in Computer Science or Electrical Engineering preferred., • Research experience with hardware architectures such as CPUs, GPUs, TPUs, and NPUs., • Published papers in Microarchitecture and Systems conferences preferred., • Experiences in developing simulators for high-performance computing systems, • Understanding of system level characteristics of LLM, DLRM and CNN and other ML workloads., • Familiarity with PyTorch, Tensorflow, or JAX., • Strong analytical and problem-solving skills, • Excellent communication and interpersonal skills, • Ability to work independently and as part of a team, • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-AD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Relocation Support Live 50+ miles away from your new office? No worries! We'll provide a stipend to help support your move. Housing Stipend Signing a lease on a new place for your summer internship? We'll help you pay your way with a monthly stipend. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Hourly Base Pay Rate$28—$62 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate's genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process. Applicant Privacy Policy

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. What You'll Do Samsung Device Solutions America is seeking to fill a Manager DRAM Customer Quality to support Tier 1 customers for DRAM products. This is a customer-facing role responsible for coordinating failure analysis of advanced memory products such as LPDDR, DDR components and DIMMs, HBM, or GDDR used in customer's applications. The role requires a subject matter expert capable of facilitating the exchange of information to address key concerns related to product specifications, application, platform debug, quality, compliance and ad hoc inquiries. The role requires the tracking and reporting issues for visibility, escalation as needed and follow-up. We are looking for a technical, customer-focused engineer with skills and/or interests in supporting emerging technologies. You should be able to gather and report critical information in a timely manner to expedite analysis and response and be comfortable working in a fast paced, highly collaborative, dynamic work environment. Your ability to interact across multiple teams over global locations will be critical to deliver the highest customer satisfaction. Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy with 20-30% travel. • Work with customers directly to identify, document and then publish reports to track technical issues requiring response, manage customer responsiveness expectations., • Take leadership in frequent communication with customers and engineering team members to understand their quality requirements and then working to align on these goals both internally and with the customer., • Manage outbound communications to customers, including Failure Analysis/8D, Change Notifications, monthly or quarterly performance reports to ensure deadlines and customer expectations are met., • Create and maintain a system to track details for a customers' Quality related requirements across global teams., • Drive solutions to deliver consistent results and sustainable customer satisfaction impact., • Bachelor's Degree in Electrical Engineering or Computer Science or related discipline with 10+ years or Master's with 8+ years or PhD with 5+ years of experience. Master's degree in Business, Engineering, or related discipline a plus., • Semiconductor memory or closely related semiconductor industry experience., • Experience in a B2B customer facing role supporting highly technical content., • Excellent collaboration and communication skills is a must., • Excellent writing skills with the ability to edit, clarify and consolidate customer expectations and report out on short timelines., • DRAM or other high performance memory IC design, application, test, or product engineering, • Platform design related to memory controller or memory channel and interface., • Advanced component packaging for high speed interface, • Semiconductor Component Quality and Reliability, • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range$157,000—$243,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant Privacy Policy

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. Our team is at the forefront of applying machine learning to diverse fields in display production and R&D. As part of a dynamic group of researchers, engineers, you'll collaborate on innovative projects that transform data into insights and breakthrough discoveries. Samsung Display Lab is hiring an AI expert with background of circuit/pixel layout design, circuit simulation by fusing physics-based simulation with modern AI/ML. You'll drive AI-assisted panel layout and architect pixel/backplane circuits, build high-fidelity surrogates for parasitics using AI. Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do AI for design & optimization • Develop physics-informed ML and GNN surrogates mapping layout/process to electrical KPIs., • Run multi-objective optimization via Bayesian optimization/evolutionary search; generate candidate pixel, driver topologies., • Compose fast design loops that combine Layout/SPICE with learned surrogates; accelerate what-if sweeps., • BS Computer Science or equivalent with a minimum of 10+ years or a MS in Computer Science with 8+ years or PhD 5+ years in Electrical Engineering/Computer Engineering/Applied Physics (or equivalent experience)., • Proficiency with SPICE/Spectre/HSPICE/Cadence Virtuoso/ADE; layout and parasitic extraction., • Strong Python and ML fundamentals (PyTorch or TensorFlow, scikit-learn/NumPy/Pandas), • Experience building and validating surrogate models and running multi-objective optimization., • Experience with GNNs for layout-to-electrical, PINNs/physics-informed ML, or differentiable simulation., • RL for control/param tuning; Bayesian optimization at scale; DoE/active learning., • Publications/patents in display, EDA, or ML-for-hardware., • Solid analog/digital circuit fundamentals; hands-on OLED pixel/gate driver design., • Demonstrated ability to take designs from simulation to hardware bring-up and correlation., • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-VL1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Individual pay rates depend on a number of factors—including the role's function and location, as well as the individual's knowledge, skills, experience, education, and training. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and an errand service. Prioritize Emotional Wellness With on-demand apps and paid therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range$157,000—$243,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant Privacy Policy

Job DescriptionDescriptionAlign Technology is a global medical device company that pioneered the invisible orthodontics market with the introduction of the Invisalign system in 1999. Today, we develop innovative, technology-rich products such as Invisalign system of clear aligner treatments, the iTero scanner services to help dental professionals achieve the clinical results they expect and deliver effective, cutting-edge dental options to their patients. The Sr Product Manager, Treatment Planning will be responsible for leading Align’s global Predictability Tx planning strategy, working closely to support the VP Treatment Planning and Visualization. They will be responsible for driving and championing Aligns next generation of predictability improvements working closely with our clinical, research and operations teams Role expectations • Be the primary person responsible to drive vision, roadmap, execution and adoption of Aligns Predictability improvements, • Define customer profiling and segmentation and coordinate best-practice sharing and implementation through the regional teams, • Working with the VP Global Product Treatment Planning, develop clear, consistent and compelling vision and roadmap for our Predictability vertical, • Spends time with business owners, external doctors and internal users, • Study and be familiar with competition and competitive product, • Dental/Orthodontic clinically knowledge desired but not required but will need to be learned to a high proficiency in order to developed features and products, • Defines what it is we build based on insights, customer needs, industry trends and competitive landscape, • Helps draft high level technical architecture with the R&D team, • Interfaces with business owners in marketing, operations, IT and other functional groups, • Defines technical products requirements, • Leads technical product roadmap, • Grooms backlog as product owner, • Represents business owners & customers, • Demands an aggressive timeline, • Acts as agile product owner, • Ambitious in reaching for a deep meaningful competitive product, • This position will report directly to the VP, Treatment planning and will be based in San Jose California, • Experience & Leadership in software product ideation, definition & management with at least 8 years of experience, • Dental/Orthodontic clinically knowledge desired but not required but will need to be learned to a high proficiency, • Comfort in managing matrix organized teams, • Demonstrated mastery of software engineering and SDLC process, • Experience with some domain related knowledge as appropriate & needed: Orthodontics, Dentistry, 3D CAD/CAM, UI/UX/Usability, Complex User Tools, Web Services, etc., • Enabler and coach of agile project management practices, • Deep understanding of computer science & data processing, • Exemplary technical and people leadership skills, • Team player with strong ability to explain technical issues to business users, • Ability to work with regional teams to drive product releases, utilization and insights, • Ability to put roll out plans for your products at a global level by working with internal teams and individual regions, • Makes effective decisions in a timely manner, sometimes with incomplete information and under tight deadlines and pressure; uses a mixture of analysis, experience, and process to reach conclusions, • Must demonstrate a strong track record of delivering results., • Excellent presentation/oral communication skills., • Bachelor or Masters or PhD in Sciences or Engineering, • 4+ years of Software Engineering experience, • 2+ years of Software Product Management Experience, • 2+ years of 3D CAD/CAM and/or Animation Systems and/or UI/UX/Usability and/or Web Services/Cloud, • 2+ years of Effective Mature Agile Project Management, • Deep Knowledge and Vision of the Current Evolution of some keys areas of Software Engineering & Technology, including Medical Devices, Treatment Simulation, 3D Data Representation, Global Web Systems, UI/UX Usability, Distributed Storage Systems, Enterprise Security, Advanced Networking, Map-Reduce Data Processing, SQL & NoSQL Databases, Programming Platforms like Java or JavaScript or Ruby or similar, Project Life Cycle tooling, Operating Systems like Linux or Windows or similar, etc.

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 As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. Key Responsibilities • Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models., • Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets., • Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets, • Design data recipes that maximize model capabilities across diverse domains., • Optimize data-model co-design for improved training dynamics., • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation. Academic Qualifications, • Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. Professional Experience, • Experience working with large language models, including evaluation, fine-tuning, and prompt engineering., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams. Preferred, • Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization., • Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools.

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 Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust, adaptable, and interpretable driving policies that generalize across tasks, sensor modalities, and public road scenarios—delivering transformative improvements for ADAS, autonomous systems, and simulation-driven software development. We are looking for a creative and rigorous Research Scientist to focus on tailoring world models for effective use in policy learning and evaluation for autonomous vehicles. In this role, you will be at the heart of research efforts that bridge perception-driven environment models and the training of intelligent decision-making policies. Your work will ensure that learned world models can serve as faithful, controllable, and informative substrates for safe and robust policy optimization and evaluation.Responsibilities • Develop and refine world models that support realistic and diverse counterfactual reasoning, scenario generation, and policy rollout., • Ensure that world models are compatible with and useful for reinforcement learning, imitation learning, and offline policy evaluation techniques., • Design methods to synthesize high-risk or edge-case scenarios from world models, enabling robust stress-testing of autonomous policies., • Explore techniques such as latent-space simulation, world model distillation, differentiable simulation, and closed-loop evaluation to improve policy development and evaluation pipelines., • Partner with researchers in world modeling, planning, and safety evaluation to co-develop aligned architectures and learning objectives to ensure that learned models accurately capture agent-environment dynamics relevant to long-horizon planning and safety-critical decision-making., • Publish high-quality research and contribute to the community through open-source tools, benchmarks, and conference participation.Qualifications, • PhD in Computer Science, Robotics, Machine Learning, or a related field., • Strong background in at least two of the following areas: World models or model-based reasoning in dynamic environments, World model adaptation and fine-tuning, Offline RL or imitation learning, Model-based reinforcement learning (MBRL), Simulation-to-reality transfer, or Policy evaluation and safety assurance., • A track record of high-quality publications in ML or robotics venues (e.g., ICML, ICLR, NeurIPS, CoRL, RSS)., • Familiarity with latent dynamics models (e.g., Dreamer, PlaNet, MuZero)., • Understanding of uncertainty modeling, generalization, and robustness in learned environments.Experience evaluating autonomous vehicle policies in simulation and real-world settings., • Experience in building or applying models for downstream evaluation of autonomous systems.

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. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust, adaptable, and interpretable driving policies that generalize across tasks, sensor modalities, and public road scenarios—delivering ground-breaking improvements for ADAS, autonomous systems, and simulation-driven software development. We are seeking a forward-thinking Research Scientist to focus on inferring latent state representations from sensor data, powering world models, and supporting rigorous policy evaluation for autonomous vehicles. This role spans raw perception and structured representations, enabling both high-fidelity predictive modeling and reliable policy assessment in simulated or learned environments. You will work closely with researchers developing world models and those focused on policy evaluation, ensuring that the latent states inferred from real-world sensors are semantically rich, temporally coherent, and suitable for both long-horizon prediction and counterfactual analysis.Responsibilities • Design and train learning-based systems that transform raw multimodal sensor data (e.g., images, lidar, radar) into compact, dynamic latent states suitable for use in learned world models., • Investigate unsupervised, self-supervised, and contrastive methods to learn latent spaces that encode dynamics, semantics, and uncertainty., • Incorporate temporal information and motion consistency into latent state estimation using recurrent, filtering, or transformer-based architectures., • Combine data from heterogeneous modalities into a unified latent state representations that generalize across conditions and scenarios., • Ensure the learned representations are resilient to occlusion, sensor degradation, and distributional shift., • Collaborate on joint research agendas with world modeling and policy evaluation researchers to explore uncertainty modeling, interpretability, and representation bottlenecks., • Publish novel research, contribute to open-source tools, and engage with the academic community at major ML and robotics conferences.Qualifications, • PhD in Computer Science, Machine Learning, Robotics, or a related field., • Strong foundation in representation learning or state estimation for sequential decision-making., • Robust experience in deep generative models (e.g., VAEs, diffusion models, autoregressive models)., • Solid base in perception models from large-scale real-world sensor datasets from autonomous driving, robotics, or similar domains., • Experience with latent world models, generative AI for perception, or contrastive learning., • Familiarity with structure-from-motion, Gaussian splatting, or neural radiance fields (NeRFs)., • Experience with multi-modal sensor fusion, state estimation, and SLAM techniques., • Familiarity with uncertainty-aware perception, active perception, and predictive modeling., • Accomplished publication record at top-tier conferences such as NeurIPS, CVPR, ICCV, ICLR, ICRA, CoRL, or RSS., • Deep programming skills in Python and deep learning frameworks such as PyTorch or JAX., • Excellent problem-solving skills and the ability to work in a fast-paced team research environment.Bonus Qualifications, • Background building or using world models in model-based RL, planning, or simulation., • Familiarity with latent-space rollouts, policy evaluation metrics, or offline RL tools.

Job DescriptionOur mission at DigitalFish is to help our customers derive transformative value across their organizations by building next-generation technologies that define the future of digital-media creation and consumption for millions of users. We have partnered with leading digital media companies, and are at the center of their efforts to build a new generation of platforms and experiences. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others. THE ROLE As part of a small and dynamic team, you'll play a pivotal role in advancing imaging technology for camera capture while developing end-to-end high fidelity, high accuracy, and photo reality camera simulator. The scope of these projects will encompass collaborating with camera architects and other teams such as systems, optics, algorithm development and IQ team, to execute, validate and improve camera simulation for purposes like architecture validation and component down selection.WHAT YOU'LL DO • Develop, validate, and execute state-of-the-art imaging software simulation tools to enable novel camera HW explorations, machine learning dataset generation, and product architecture tasks for consumer products, • Investigate latest imaging simulation methods (e.g. ISET, ZEMAX, non-sequential ray tracing) to enable realistic simulation of real camera behavior for architecture, algorithms, and image quality development for consumer mobile products, • Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency, • Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment, • Develop and document camera test methodologies to support 2D/3D camera system performance analysis, • Develop and debug test scripts for image data collection automation, • Processing, analysis and organizing measurement data; presentation of initial analysis, • Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrationsWHO YOU ARE, • MS/PhD degree in Computer Science, Imaging Science, Image Processing, Computer Vision, or related fields, • Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena, • Experience and knowledge in developing and tuning Image Signal Processing (ISP) pipeline, • Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis, • Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other, • Experience coding in MATLAB or Python, • Hands on experience in the development of lab setups for camera system performance study, • Experiences in camera calibration and modeling of imaging systems, • Familiar with image sensor, imaging optics, and image processing algorithms, • Ability to work with minimal direction and managing a project independently from start to finish, • Proof of eligibility to work in the United StatesCOMPENSATION & BENEFITS, • The annual compensation includes equity (per qualifications), • The annual salary range for this position is $145,000 to $170,000 plus equity (per qualifications), • The base pay offered will take into account internal parity, job-related knowledge, skills, and experience among other factors, • Health Insurance - Medical, Dental, Vision and Life Insurance, • Discounts on movie tickets, theme parks, hotels, Broadway and Vegas shows, shopping partners & more

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 As a Data Engineer specializing in Natural Language Processing (NLP) and large-scale data processing, you will quickly and effectively gather, curate, and prepare high-quality datasets to support cutting-edge NLP research. Your role will be instrumental in enabling researchers by delivering essential data through efficient and scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily leveraging Python and related technologies.Key Responsibilities • Rapidly collect, curate, and preprocess datasets based on detailed specifications provided by NLPresearchers,delivering data within tight timelines., • Develop and maintain efficient web crawling solutions, APIs, and automated workflows to continuously improve data collection processes., • Refine and evaluate outputs from Large Language Models (LLMs) to generate structured datasets suitable for model training and benchmarking., • Implement scalable data pipelines, ensuring efficient data processing, storage, retrieval, and distribution to research teams., • Collaborate closely with researchers and engineers to ensure collected data meets specified quality and relevance criteria., • Document data collection methodologies, dataset characteristics, and pipeline architecture clearly and effectively., • Engage with peer teams and participate in technical reviews to uphold best practices and data quality standards., • Represent MBZUAI at industry and research forums, showcasing technical capabilities in large-scale data processing and AI data infrastructure.Academic Qualifications, • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field required, • Master’s degree or PhD degree or equivalent experience in Computer Science, Data Engineering, or related technical fields preferred.Professional Experience - Required, • Extensive experience in data engineering, data processing, and automation using Python., • Demonstrated proficiency in designing and deploying web crawling solutions, automated data extraction, and processing pipelines., • Strong understanding of data structures, algorithms, databases, SQL, and performance optimization., • Experience working with cloud infrastructure and distributed data processing frameworks (e.g., AWS, Spark, Kafka, Kubernetes)., • Excellent problem-solving abilities, attention to detail, and the capability to rapidly address technical challenges., • Strong communication and collaboration skills with cross-functional teams.Professional Experience - Preferred, • Proven track record of supporting NLP or AI research teams with rapid and reliable data delivery., • Experience working with large language models, including evaluation, efficient inference, and prompt engineering., • Experience with refining outputs from large-scale AI models, such as LLM-generated data., • Contributions to open-source projects, coding competitions, or high visibility in coding communities (e.g., GitHub, Stack Overflow).

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 As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.Key Responsibilities • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration., • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility., • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases., • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines., • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes., • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS)., • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment., • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.Minimum Professional Experience, • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams.Preferred Professional Experience, • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines., • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing)., • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP)., • Familiarity with performance constraints in production environments and the trade-offs in model and data design.

Collaborate with internal product managers develop NVIDIA on NVIDIA solutionsWhat we need to see:* MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience. Principal Network Architect pa

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up, where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of Generative AI. Our team comprises leading minds and innovators in AI and Biological Science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine. We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our exceptionally strong R&D team and leadership in LLM and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Key Responsibilities • Develop high-performance GPU/CPU kernels and make trade-offs that maximize end-to-end hardware utilization, • Utilize knowledge of hardware features and performance characteristics to make aggressive optimizations, • Work with our other platform teams to deploy your kernels, manage our training uptime, and find opportunities for optimization, • Develop low-precision algorithms that deliver high performance with little loss of ML accuracyWork with ML engineers to develop model architectures that are amenable to efficient training and inference, • Work with hardware vendors and advise on HW/SW co-designJob Requirement, • A strong coder with excellent skills in C/C++ and Python, • Have a deep understanding of GPU, CPU, or other AI accelerator architectures, • Have experience writing and optimizing compute kernels with CUDA or similar languages, • Are familiar with LLM (and/or other foundation model) architectures and training infrastructure, • Have experience driving ML accuracy with low-precision formatsHave 1+ years of relevant industry experience, • Get a great deal of satisfaction with every percentage point in performance improvement, • Senior Engineer for Ph.D. with 2-3 years working experience or Engineer with M.S. with 3-5 year working experiencePreferred Qualifications, • PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other Systems, • Experience building compilers

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 xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities • Use proprietary software applications to provide input/labels on defined projects., • Support and ensure the delivery of high-quality curated data., • Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies., • Interact with the technical staff to help improve the design of efficient annotation tools., • Regularly require you to interpret, analyze, and execute tasks based on given instructions.Key Qualifications, • Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field., • Proficiency in reading and writing, both in informal and professional English., • Strong ability to navigate various information resources, databases, and online resources are essential., • You display outstanding communication, interpersonal, analytical, and organizational capabilities., • Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material., • You have a strong passion for and commitment to technological advancements and innovation.Preferred Qualifications, • Possesses experience with at least one publication in a reputable journal or outlet., • Has previous AI Tutoring experience., • Teaching experience (as a professor, teacher, or tutor)., • You possess experience in technical writing, journalism, or a professional writing setting., • Professional background as a Data ScientistLocation, Hourly, and Other Expectations, • This position is based in Palo Alto, CA, or fully remote., • The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation., • If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time., • We are unable to provide visa sponsorship., • Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter., • For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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 This is a foundational role within our organization to lead our data science initiatives and drive AI research excellence. We are building for the future! In this role, you will have the opportunity to work on groundbreaking AI research and data science problems that push the boundaries of personal AI. You'll lead sophisticated statistical modeling, advanced machine learning research, and data-driven insights that power Eternos' platform. You will work cross-functionally with Machine Learning Engineering, Backend, and Product teams to translate cutting-edge research into production systems. Your work will have a tremendous impact on the theoretical foundations and practical applications of Eternos' AI capabilities. Responsibilities • AI Research Leadership: You should be a confident AI researcher. Drive advanced research initiatives in machine learning, deep learning, and statistical modeling with direct applications to personal AI systems., • Mathematical Modeling: Develop mathematical frameworks and statistical models to solve tough problems in AI personalization and digital twin technologies., • Data Architecture: You are not a "research coder", but a production quality software engineer. You understand how to architect multi-layered data systems using cutting edge (2025) technologies., • Statistical Analysis: Conduct rigorous statistical analysis, hypothesis testing, and causal inference to validate AI model performance and business impact., • Advanced Analytics: Develop cutting-edge analytics capabilities using the latest ML software stacks and research methodologies, • Experimental Design: As a sophisticated scientist, you should be comfortable with experimental design and look forward to testing your hypotheses.QualificationsRequired, • PhD in Mathematics, Statistics, Computer Science, Physics, or related quantitative field, • 8+ years of combined academic research and industry experience in data science, machine learning, or AI research., • Deep Mathematical Foundation: Expert knowledge in statistics, linear algebra, calculus, optimization theory, and probability theory., • Theoretical & Applied Expertise: Strong background in both theoretical machine learning and practical applications in industry settings., • Modern LLM and ML Stack Proficiency: Expert-level experience with current LLM and ML frameworks and tools relevant for Q2 2025., • Programming Excellence: Advanced Python skills with experience in C++, Julia, or Rust for performance-critical applications., • Statistical Modeling: Expertise in optimization, numerical methods, Bayesian methods, time series analysis, causal inference, and experimental design., • Research Leadership: Experience leading research projects from conception to publication and production deployment.Preferred, • Postdoctoral research experience or equivalent advanced research roles., • Domain Expertise: Background in personalization systems, recommendation engines, or conversational AI. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package. Annual Salary$140,000—$250,000 USD

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 DescriptionAt Kumo, we're not just building another AI platform—we're fundamentally reinventing how enterprises extract value from their massive data investments. While companies pour millions into data lakehouses, the traditional ML approach has failed them with its painfully slow iterations, complex feature engineering, and disappointing results. Our breakthrough? A revolutionary platform that harnesses the power of Graph Neural Networks through our elegant Predictive Query Language, allowing data scientists to unlock insights 12x faster with superior accuracy than conventional methods. Your Mission As an Infrastructure Engineer at Kumo, you'll architect the foundation that makes this AI revolution possible. You'll design and build scalable distributed systems that seamlessly bridge data warehouses with cutting-edge ML workflows, creating a platform that's both incredibly powerful and surprisingly simple to use. Working alongside engineering leaders from top tech companies and researchers from Stanford, you'll solve complex technical challenges that few engineers get to tackle: building infrastructure that elegantly handles massive-scale data, complex ML training, and reliable inference—all while maintaining enterprise-grade security and performance.Impact You'll Make: • Design and implement the core architecture of our distributed training and inference systems that can handle enterprise-scale data, • Craft elegant integration points between data warehouses, ML processing engines, and our proprietary Graph Neural Network technology, • Build sophisticated orchestration systems that optimize computational resources while ensuring reliability and restartability, • Develop clean APIs and abstractions that decouple system components for rapid parallel development, • Create scalable, cloud-native infrastructure that grows with our customers' needs while maintaining performance, • Collaborate directly with customers to refine and iterate on real-world deploymentsWhat You Bring:, • Strong foundation in computer science (BS required, MS/PhD preferred) with 5+ years of software development experience, • Deep understanding of distributed systems design principles, • Proficiency in languages like Python, Java or C++, • Problem-solving mindset with ability to tackle novel challenges in uncharted territoryWhat Sets You Apart:, • Experience with cloud distributed storage, databases, and file systems (AWS, Azure), • Track record building and scaling microservices architectures, • Knowledge of ML frameworks like PyTorch or TensorFlow, especially inference serving at scale, • Contributions to open-source projects in distributed systems or data processing, • Understanding of ML fundamentals, especially in enterprise applications, • Experience designing systems that elegantly handle failure modes and restartsBenefits, • Stock, • Competitive Salaries, • Medical Insurance

Job DescriptionArray Labs is launching a constellation of formation-flying radar satellites, enabling higher resolution, wider area imaging and instant 3D data capture which will power the first highly accurate, real-time, 3D model of the Earth. Our next-generation sensing technology will directly enable breakthroughs in climate science, autonomy, defense, and disaster response. We are seeking a Signal Processing Engineer to join our team and build the core algorithms that make this transformation possible. This is a unique opportunity to have a foundational impact on a first-of-its-kind system.Responsibilities: • Design, model, and implement novel digital signal processing (DSP) algorithms for our next-generation radar systems., • Focus on critical areas such as pulse compression, Doppler processing, interference mitigation, and advanced filtering techniques to maximize signal quality., • Collaborate closely with RF, FPGA, and software engineers to ensure algorithms are robust, efficient, and implementable in a real-time environment., • Develop high-fidelity simulations in MATLAB or Python to validate algorithm performance against theoretical limits and system requirements., • Analyze and characterize system performance using both simulated and real-world data, paying close attention to metrics like Signal-to-Noise Ratio (SNR), resolution, and ambiguity functions., • Stay current with the latest advancements in signal processing and radar technology to continuously innovate and improve our capabilities.Basic Qualifications:, • BS or MS in Electrical Engineering, Computer Science, Physics, or a related technical field., • 3+ years of hands-on experience in digital signal processing., • Demonstrated expertise in Digital Signal Processing (DSP) fundamentals (e.g., Fourier analysis, digital filter design, sampling theory, estimation theory)., • Proficiency in MATLAB or Python (with libraries like NumPy, SciPy) for algorithm development, modeling, and simulation.Preferred Skills and Experience:, • PhD in Electrical Engineering, Computer Science, or a related field with a focus on signal processing., • A strong background in optimal and adaptive filter design (e.g., Wiener, Kalman), statistical signal processing, • Familiarity with radar signal processing concepts (e.g., matched filtering, stretch processing, Synthetic Aperture Radar (SAR) imaging)., • Experience with implementing computationally intensive algorithms in C++ or on hardware platforms (FPGA, GPU)., • Experience with version control systems like Git and modern software development practices., • A creative and analytical mindset, with a proven ability to solve complex, open-ended problems from first principles.ITAR 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.Citizenship Requirement, • U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions, • 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.Interview ProcessCandidates can expect 2–4 weeks of interviews including Zoom and on-site technical discussions. Why you should join Array LabsWe're solving one of the hardest sensing problems in the world—from space. Our team is mission-driven, highly technical, and deeply collaborative. If you're excited by building technology that can reshape how humanity understands our planet, we’d love to hear from you.

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Job Requirements • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field., • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences., • Proven track record in developing and using advanced ML / AI methods for the analysis, modeling and / or generation of imaging and vision data., • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications., • A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up., • A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge., • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment)., • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.Preferred Qualifications, • 3+ years of post-PhD experience in an industry or postdoc role, • Hands-on prior experience working on biomedical images including one or more of the following: pathology images (H&E), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc)., • Practical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications., • Experience in large-scale distributed training and inference, ML on accelerators

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.Job Requirements • PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, or a related technical field, • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences, • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as PyTorch, JAX, or Tensorflow with an interest in generative models, graph neural networks, or large-scale deep learning applications, • A strong theoretical foundation (probabilistic models, statistics, optimization, graph algorithms, linear algebra) with experience building models ground up, • A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge, • Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment), • Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by othersQualifications, • 3+ years of post-PhD experience in an industry or postdoc role, • Prior experience working at either a start-up or top research industry labs (e.g., OpenAI, FAIR, Deepmind, Google Research), • Hands-on prior experience working at the intersection of AI and Biology, • Experience in large-scale distributed training and inference, ML on acceleratorsPreferred Qualifications, • Experience with genomics, transcriptomics, or proteomics data, particularly functional assays (e.g. ATAC, CAGE, Hi-C, …), • Experience with complex data types, including multi-omics and health data (EHRs)., • Familiarity with public data repositories (NCBI, ENSEMBL, ENCODE, TCGA, UK Biobank) and experience curating datasets to answer specific scientific questions., • Experience with methods development for afore-mentioned data types, • Experience with multimodal or multiscale models (even in other domains, e.g. remote sensing, medical imaging).

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.Responsibilities • Define navigation system requirements in collaboration with internal and external stakeholders, • Analyze, source, and select sensor solutions for use in the navigation system, • Develop sensor models in simulation for evaluation of the navigation system, • Implement state estimation algorithms in flight software, • Establish test methods to ensure compliance with requirements, best practices, and regulatory standards, • Evaluate the navigation system via simulation, hardware-in-loop, and flight test casesBasic Success Criteria, • MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree, • Deep technical expertise in one of the following areas: Kalman filtering, probability theory, fault detection and exclusion (FDE), or alternative navigation technologies, • 5+ years of professional experience developing navigation algorithms, • 2+ years of professional experience with C/C++ and MATLAB or PythonPreferred Success Criteria, • PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree, • Technical expertise in one of the following areas: sensor fusion, localization, and tracking algorithms; GNSS navigation; inertial navigation; sensor error/noise modeling; GPS-denied navigation, • Experience developing software for safety critical applications

Job DescriptionAbout AiDASH AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow! The Role We are looking for a Senior Machine Learning Engineer with deep expertise in aerial LiDAR processing and 3D computer vision. In this role, you will be responsible for designing advanced ML models - including custom CNN and Transformer architectures - for large-scale 3D point clouds and multi-modal remote sensing data. How you'll make an impact: • Design, implement, and optimize deep learning models for aerial LiDAR data - using CNNs, Transformers, and hybrid architectures, • Build end-to-end pipelines for object detection, segmentation, and terrain modeling from geo-referenced point clouds, • Combine aerial LiDAR with other data sources (e.g., RGB imagery, DSM/DTM, hyperspectral) using cross-modal transformers or fusion models, • Implement efficient 3D spatial reasoning using voxel grids, sparse tensors, and attention-based architectures, • Drive experimentation, model benchmarking, and ablation studies to push accuracy and efficiency boundaries, • Collaborate with geospatial scientists and ML engineers to bring models to production via scalable APIs and cloud-native services, • 5+ years of experience in applied machine learning or computer vision, with 3+ years focused on LiDAR or 3D data, • Proven expertise in 3D deep learning (e.g., 3D CNNs, PointNet/PointNeXt, SparseConvNet, Minkowski Engine), • Experience building and fine-tuning transformer architectures for spatial or remote sensing applications (e.g., Swin3D, PointTransformer, GeoTransformer), • Strong coding skills in Python and deep learning libraries (PyTorch preferred), • Familiarity with aerial LiDAR data characteristics, including waveform/point density, elevation modeling, and coordinate systems (EPSG, UTM, etc.), • Hands-on experience with geospatial and point cloud libraries (PDAL, Open3D, PCL), • Understanding of GPU optimization and deployment in production (CUDA, TensorRT, TorchScript), • Master’s or PhD in Computer Science, Remote Sensing, Geomatics, or related fieldPreferred Qualifications:, • Experience with neural implicit models (e.g., NeRF, occupancy networks) for 3D scene modeling, • Knowledge of spatiotemporal modeling or change detection from periodic LiDAR collections, • Prior work with cloud-based pipelines (AWS SageMaker, GCP Vertex AI, or Azure ML), • Contributions to open-source geospatial/ML tools or research publicationsWhat you'll love:, • Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children, • Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles, • 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered, • Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers, • Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!

Job DescriptionMythic is building the future of AI computing with breakthrough analog technology that delivers 100× the performance of traditional digital systems at the same power and cost. This unlocks bigger, more capable models and faster, more responsive applications—whether in edge devices like drones, robotics, and sensors, or in cloud and data center environments. Our technology powers everything from large language models and CNNs to advanced signal processing, and is engineered to operate from –40 °ree;C to +125 °ree;C, making it ideal for industrial, automotive, aerospace, and defense. We’ve raised over $100M from world-class investors including Softbank, Threshold Ventures, Lux Capital, and DCVC, and secured multi-million-dollar customer contracts across multiple markets. The AI Engineering team • Builds software pipelines that adapt neural networks (such as Hugging Face, Ultralytics, or custom models) for deployment on Mythic’s hardware., • Develops advanced quantization-aware and analog-aware retraining algorithms leveraging PyTorch and ONNX., • Hardens networks to analog effects via advanced network regularization., • Models analog effects and their impact on network performance., • Works cross-functionally to validate and debug hardware., • Contributes to the co-design of next-generation hardware., • Brings up and customizes neural networks.Here's what you will do, • Optimize Mythic’s analog-aware software toolchain for network accuracy, latency, and ease-of-use., • Design algorithms and tools for Mythic’s neural network conversion pipeline., • Build high-fidelity, computationally-efficient hardware models., • Contribute to silicon bring-up, debugging, and validation., • Improve software through refactoring, testing, documentation, and other engineering best practices., • Stay current with advances in deep learning research and neural network frameworks.Here's the background you need to have, • Bachelor's degree in Computer Science, Mathematics, or a related field., • 5+ years of software experience in a production environment., • Experience working on complex problems with algorithm-heavy code., • Commitment to quality and engineering excellence., • Strong communication skills.The following would be nice to have, • MS/PhD in Computer Science, Mathematics, or related field., • Hands-on experience with modern neural network frameworks., • Familiarity with state-of-the-art neural network architectures., • Experience training neural networks with hardware-aware techniques, including quantization, pruning, or model-size limitations., • Experience with MLOps practices, including model versioning, CI/CD pipelines for ML, model deployment, and monitoring., • Experience owning critical APIs with a large user base., • Contributions to open-source software.At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.

Job DescriptionHeadquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI. We are seeking a dynamic and experienced Research Group Leader to drive innovation and lead a talented team of researchers focused on the extension, use, and integration of biological foundation models to solve the most important biomedical and biological problems. This is a unique opportunity to shape the direction of our research efforts, contribute to groundbreaking discoveries, and mentor the next generation of scientific leaders. You will play a critical role in advancing our mission to revolutionize biology and medicine through the power of Generative AI.Key Responsibilities: • Lead and mentor a team of research scientists, fostering a collaborative and high-performing environment., • Work with the Chief Scientific Officer (CSO) and other leaders to drive the research strategy and objectives for your group, aligning with the broader company goals., • Lead partnerships with industry and academic teams focused on the use, integration and extension of the foundation models developed by GenBio to derive novel insights intro biological and biomedical systems and processes., • Analyze and interpret complex data, drawing meaningful conclusions and identifying potential breakthroughs., • Prepare and present research findings at internal meetings, scientific conferences, and in peer-reviewed publications., • Stay abreast of the latest advancements in relevant scientific fields and integrate new knowledge into research projects., • Collaborate effectively with our engineering and product teams and with other stakeholders across the organization., • Lead the writing and publication of high-quality papers demonstrating the success of GenBio’s AI approach., • Contribute to the intellectual property strategy of the company through invention disclosures and patent applications., • Ensure adherence to high scientific standards and best practices within the research group.Qualifications:, • PhD in Computer Science, Computational Biolog or related area with at least 5 years of post-doctoral experience, OR an MSc in a relevant field with at least 10 years of relevant research experience., • Demonstrated experience in a leadership role, including managing and mentoring research scientists or a similar technical team (this could include experience leading projects, supervising students/postdocs, or managing a small team in industry)., • A strong track record of research accomplishments, evidenced by publications in peer-reviewed journals, conference presentations, and/or relevant industry achievements., • Deep knowledge and expertise in the design and use of foundation models for biology., • Excellent problem-solving, critical thinking, and analytical skills., • Strong communication, interpersonal, and presentation skills, with the ability to effectively convey complex scientific concepts to diverse audiences., • Ability to work independently and collaboratively in a fast-paced, dynamic startup environment. Preferred Qualifications:, • Experience in both academic and industry research settings., • Experience with the use of AI to address systems biology questions, • Experience in working and integrating multiple biological modalities, • Experience in securing research funding (e.g., grants, collaborations).

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . About The Job Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects.You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. What you will do 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 DescriptionOur Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™" Our Values One Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The TeamThe Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous. The Engagement & Growth ML team builds personalization systems that connect members with the right product experiences at the right time. We power Tinder’s growth through intelligent notifications, personalized CRM campaigns, and optimized lifecycle journeys that enhance engagement and retention. Our models and algorithms directly influence how millions of users experience Tinder daily, ensuring that their interactions are meaningful, timely, and rewarding. About the Role:As a Software Engineer focused on Machine Learning for Engagement & Growth, you will play a pivotal role in shaping how users experience Tinder beyond swipes and matches. You’ll design, implement, and scale machine learning systems that personalize outreach, optimize notifications products, and maximize long-term retention. You’ll work on cutting-edge ML techniques — spanning deep learning, reinforcement learning, ranking models and causal inference — to deliver the right messaging to the right user at the right time. Where you’ll work:This is a hybrid role and requires in-office collaboration three times per week. This position is located in Palo Alto, CA.In this role, you will: • Drive ML modeling efforts for Tinder’s engagement and growth experiences., • Personalize notifications, CRM campaigns, and lifecycle journeys to improve member experience and retention., • Apply advanced ML methods, including deep learning, reinforcement learning, ranking models and causal inference., • Develop large-scale ML systems that serve recommendations with low latency and high reliability., • Collaborate with product managers, ML engineers, and backend engineers to integrate models into user-facing experiences., • Work with big data pipelines to improve the accuracy, efficiency, and long-term business impact of ML models.You’ll need:, • 2+ years of hands-on machine learning experience, with a track record of delivering impactful solutions at scale., • BS, MS or PhD in Computer Science, Statistics, or a related field., • Strong expertise in deep learning, ranking/retrieval models, or reinforcement learning., • Proficiency in ML frameworks such as PyTorch or TensorFlow., • Proficiency in Python, Java, Scala, or similar programming languages.Nice to have:, • Hands-on experience in engagement, growth, or lifecycle personalization domains., • Demonstrated experience designing causal inference driven systems to optimize interventions., • Experience building and serving large-scale ML systems with low-latency requirements., • A strong publication record at top ML conferences (e.g., NeurIPS, ICML, KDD, RecSys).As a full-time employee, you’ll enjoy:, • Unlimited PTO (with no waiting period), 10 annual Wellness Days, • Time off to volunteer and charitable donations matched up to $15,000 annually, • Comprehensive health, vision, and dental coverage, • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP), • 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation, • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development, • Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy #Tinder

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. About the Team: Our team has a unique opportunity to work on applications at scale, serving millions of jobseekers and tens of thousands of customers. We're working on building an efficient marketplace of jobseekers and employers and need full-stack engineers to build fast, scalable, and effective applications that help connect people to their next job. We provide an essential service and have a thriving business as a result. Our stack is complex and we're looking for engineers who know how to write evolvable, properly instrumented, and efficient code as part of a growing distributed system. We're working on mobile-first web applications and need people who can build fast and intuitive experiences. About the Job: • Design and implement user-facing web applications at scale and hold up to expansion of a diverse user base, • Raise the bar in engineering innovation and the evolution of our approach to backend and front end development, • Communicate and deliver complex, technical solutions to a variety of stakeholders both technical and non technical, • Develop and maintain highly scalable and reliable web applications and user interfaces (UIs) to interact with complex backend systems to a consumer facing audience, • 2+ years of experience in full stack software development, • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms, • Experience in client side development using ReactJS, Javascript, AngularJS, or other modern programming language, • 4+ years of experience in full stack software development, • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. #LI-Remote #LI-DA1 ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description Who is Seyond? Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and more mobile world across the automotive, intelligent transportation, robotics and industrial automation sectors. Founded in Silicon Valley with strategically placed research and manufacturing facilities across the globe, Seyond is crafting LiDAR solutions that elevate autonomous driving and fuel the advancement of smart infrastructure development. Our dynamic portfolio – including ultra-long range flagship LiDAR sensor Falcon, mid-to-short range LiDAR sensor Robin and perception service software platform OmniVidi – powers automotive and ITS solutions for partners like NIO, Faraday Future, Exwayz and Hexagon. Currently, over 200,000 Falcon units are in use, and the product continues to be mass-produced today. Job Summary We are looking for a Staff System Engineer who will work hand in hand with all the engineering teams and field applications team to improve our LiDAR systems. How will you make an impact? • Become an expert on our LiDAR products, optimizing their performance for diverse and specific use cases., • Design and execute experiments, as well as collect data to validate the performance and capabilities of LiDAR products under various environmental conditions., • Conduct product demonstrations and lead training workshops to effectively communicate the advantages of our LiDAR technology to customers., • Collaborate with internal engineering teams to drive continuous performance improvements, address technical inquiries, and resolve issues efficiently., • Create and maintain comprehensive technical documentation for both internal teams and customers to facilitate understanding and usage of our LiDAR systems., • Provide timely customer support and troubleshoot LiDAR integration issues encountered in the field., • Bachelor's degree in Computer Science, Electrical Engineering, Physics, or a related discipline, with at least 8 years of experience working with LiDAR or other sensors; OR Master's degree with at least 6 years of experience; OR PhD degree with at least 3 years of experience., • Broad knowledge, skills, and experience across multiple domains, including but not limited to hardware, software, simulation, and programming to solve complex problems in a sophisticated LiDAR system., • Proficiency in LightTools, Zemax or Code V. Experience of COMSOL Multiphysics or Ansys Lumerical is welcome., • Ability of handling complex coupled simulation., • Strong background in algorithms and simulations with MATLAB or Python. Experience of data processing, signal processing and imaging processing is preferred., • Good understanding of statistics and mathematics., • Hands-on experience in building optical systems, including but not limited to LiDAR., • Comfortable working on multiple fast-paced projects with cross-functional teams., • Fast learner and excellent communication skills. What core values will you add at Seyond? • Emerging: We embrace the challenges with the opportunities as we shape our future together., • Dynamic: It is the combination of each member's energy, innovative spirit, open-mindedness, creativity, and unique experience that give us our dynamic edge., • Genuine: We keep it real – be it with our customers, our partners, or each other. We are dedicated to being honest and collaborative in all that we do., • Excellence: We continuously strive for higher performance, higher quality, higher precision, and higher safety. Where is this role located? This role is located in Sunnyvale, CA. Candidate must live in/near Sunnyvale, CA. What are the benefits and perks of working at Seyond? You will be supported with a competitive and comprehensive benefits package. Below are some highlights: • A variety of health insurance plans, • 401(k) retirement plan, • Paid time off, • Paid parental leave, • Wellness reimbursement, • Financial contributions to your ongoing development (conference participation, training etc.) What is the Pay Range? $160,000-$200,000 The above pay scale reflects the broad, minimum to maximum, annual base salary for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Seyond. You may also be eligible for the sales incentive plan and equity. In addition, our highly competitive benefits package is designed to support your success. Seyond, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Employment at Seyond is contingent upon proof of your legal right to work in the United States under applicable law, verification of satisfactory references and successful completion of a background check, and signing all your on-boarding documents. Seyond takes data privacy and identity theft very seriously. As such, we do not request personally-identifiable information (PII) from applicants over the internet or electronically. Please kindly refrain from disclosing your PII electronically during the application process or to unauthorized websites that may purport to be Seyond or any of our affiliates.

Job DescriptionWe're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Guidance, Navigation, and Control (GNC) Engineer at Reliable Robotics, you will develop the design, implementation, and testing of aircraft control systems. Your work will enable the integration of uncrewed aircraft into the National Airspace System.Responsibilities • Define GNC system requirements and architecture in collaboration with internal and external stakeholders, • Design guidance system features to interface seamlessly with flight control systems and pilot displays, • Implement GNC algorithms in simulation and flight software, • Reduce and analyze simulation, lab and flight test data, • Evaluate control system performance and behavior via simulation, hardware-in-loop and flight test cases, • Document and communicate system design, performance, behavior, and limitations to pilots, operations personnel, software developers and certifying authoritiesBasic Success Criteria, • BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree, • 3+ years professional experience developing control systems, flight dynamics simulators, navigation algorithms and/or flight control algorithms, • Professional C/C++ and Python software development experience, • Excellent written and verbal communication skillsPreferred Success Criteria, • MS or PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree, • Technical expertise in one of the following areas: motion planning, control systems, probability theory, optimization, • Experience developing software for safety critical applications, • Experience with FAA certification processes

Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit . Role Overview The Sr. Principal Software Development Engineer will play an instrumental role in shaping the authentication experience for over 130 million ID.me customers. The Authentication team owns the end-to-end implementation of signing into an ID.me account across web and mobile surfaces. This team is responsible for account registration, authentication (including MFA) MFA Recovery, Account lockout, and general account security. This team is the front door to ID.me We are looking for a very experienced hands-on technical leader with Authentication domain expertise and a proven ability to drive end-to-end engineering solutions. This position will from our Mountain View, CA office full-time in the office. Responsibilities • Define architecture and technical roadmap for Authentication - owning all aspects of the tech stack and representing the domain in technical collaborations., • Lead the implementation of an Authentication Platform of APIs and UI components for scale, security, and reliability., • Design and Implement industry-leading authentication solutions for our business customers., • Raise the bar for technical excellence, engineering best practices, testing strategies, and distributed system design through pairing, mentoring, architecture / code reviews, technical presentations, and knowledge sharing sessions., • Exert significant influence on the overall vision and long-term goals of the company by co-leading roadmap planning with engineering and product leadership., • Own end-to-end deliverables through committing quality code and overseeing the work of others, with sound judgment to know what is appropriate.Minimum Qualifications, • Bachelor's degree in Computer Science or related field of study., • 15+ years of SaaS development experience using Java or Ruby or Javascript or Go or C++., • 10+ years of experience building Authentication products or services, with first hand knowledge implementing major industry protocols, such as OIDC, SAML, OAuth 2.0.Preferred Qualifications, • Masters degree and/or PhD in Computer Science or related field of study., • At least 5 years of experience with at least one major public cloud: AWS, GCP, Azure., • Significant level of ownership of systems and architecture, with proven experience designing and driving technical roadmaps, collaborating with stakeholders to make tradeoff and prioritization decisions., • Experience moving an organization forward in best practices around tracking, observability, monitoring, and alerting., • Deep understanding of web technologies, frameworks, programming design patterns and paradigms, and APIs., • Excellent verbal and written communication skills., • Experience with implementing Social Login, 2FA, and/or Passwordless authentication., • Experience with threat modeling and security engineering., • Experience with building or contributing to a fully automated CI/CD pipeline. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. The above represents the anticipated total rewards package for this job requisition. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range$248,750—$295,926 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of 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 any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.