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About the Role: We are seeking a Senior Machine Learning Engineer to join a global leader in short-form mobile video and digital advertising. The Brand Ads team is integral to the company’s revenue generation, building sophisticated ad products and systems to drive engagement for brands and advertisers. You’ll be working with cutting-edge technologies like machine learning, NLP, and ranking algorithms, in a dynamic, collaborative environment. What You'll Do: • Develop and optimize forecasting models to improve ad spend efficiency., • Design and implement machine learning algorithms for ad optimization, including ranking and personalization., • Work with NLP and CV technologies to enhance content understanding for targeted ads., • Collaborate with cross-functional teams to build and scale innovative ad systems., • Contribute to the company’s continued growth by optimizing large-scale systems and algorithms., • Industry Leader: The company is a global leader in short-form mobile video, offering a platform with massive engagement across millions of users worldwide., • Innovation: A culture built on creativity, growth, and innovation, where engineers have the opportunity to work on cutting-edge technologies in ads, machine learning, NLP, ranking, and more., • Career Growth: With a focus on personal development, the company provides a dynamic, fast-paced environment where you can grow as both an engineer and a leader., • Work-Life Balance: Known for a casual work culture, the company fosters a 9-to-5, relaxed yet highly productive work environment, where individual autonomy is encouraged., • Compensation: Competitive salaries with additional benefits including bonus, RSUs, and potential sign-on bonuses, making it a highly rewarding place to work., • Location: Can accepted working at any office in the US, onsite work, • 5+ years of experience in Machine Learning, Software Engineering, or Applied Science., • Strong proficiency in Python, C++, or Go., • Expertise in Machine Learning, Deep Learning, NLP, ads forecasting, ranking systems, or recommendation systems., • Experience in ads technologies like bidding, auction systems, or ad delivery., • BS or MS in Computer Science, Engineering, or related fields.

The Company: Gridmatic is a startup trying to help decarbonize the grid by using deep learning to forecast energy prices. We believe better forecasting can have a real-world impact on energy and climate. As extreme weather events get more common, energy prices become increasingly volatile — for instance, in the Texas energy market, prices can go 50x higher than usual in extreme scenarios. When this happens, the ability to forecast these price spikes becomes increasingly important. We use our machine learning (ML) forecasting and optimization to trade in energy markets, make large-scale battery storage systems more efficient, and sell energy to businesses to protect them from extreme price volatility. Our deep learning models have proven very successful in trading in energy markets, we’re successfully operating multiple large batteries (50MW+), and we now sell energy to hundreds of businesses. We have a very strong team with significant expertise in ML, energy, and optimization. If you’re interested in working on complex real-world problems, large-scale data challenges, and applying ML to climate and energy, we’d love to talk to you. The Role: We’re looking for an engineer to help lead the scaling and reliability of our data infrastructure, which is core to the ML work we do at Gridmatic. Forecasting energy prices is challenging. We have very effective price forecasting models, but we’d like to go much further — scaling the amount of data we can use in our ML models by a factor of 10-100x by incorporating petabyte-scale weather data, increasing spatial granularity of our price forecasting, and more. We’d also like someone who can tackle the challenge of scaling and improving reliability of our data platform. We deal with a lot of real-world problems when ingesting data from external sources — downtime, late-arriving data, changing schemas. Improving the reliability of our data pipelines will be critical to our ability to make an impact on the grid. \n What we’re looking for: • Experience building the infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, and Apache Beam., • Experience designing and implementing large-scale data storage systems (feature store, timeseries DBs) for ML use cases. Strong familiarity with relational databases, data warehouses, object storage, timeseries data, and being adept at DB schema design., • Experience building data pipelines for external data sources that are observable, debuggable, and verifiably correct. Have dealt with challenges like data versioning, point-in-time correctness, and evolving schemas., • Strong distributed systems and infrastructure skills. Comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal. What you might work on: • Owning and scaling our data infrastructure by several orders of magnitude. This includes our data pipelines, distributed data processing, and data storage., • Building a unified feature store for all our ML models., • Efficient storing and loading hundreds of terabytes of weather data for use in AI-based weather models., • Processing and storing predictions and evaluation metrics for large-scale forecasting models. You might be great for this role if: • You have 4+ years of experience building data infrastructure or data platforms, • You have experience with ML infrastructure and have worked at companies that use ML for core business functions, • You’re comfortable with ambiguity and a fast-moving environment, and have a bias for action, • You learn and pick up new skills quickly, • You’re motivated in making a real-world impact on climate and energy \n$200,000 - $317,000 a yearYou will also receive Stock Options (ISOs) Taking care of you today:- Continuing Education Opportunities- Flexible PTO- Medical, Dental and Vision plans with competitive employer contributions- Pre-Tax commuter benefits- $1500/year non profit donation matching program through Millie- Home Office Stipend Protecting your future for you and your family:- 401K contribution match up to 4%- Company-paid parental leave- Company Paid Life Insurance- Stock Option Loan Program\n FAQ What’s your policy on remote work? We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy that will ask you to work in our Cupertino office 3 days a week. What is your interview process? You’ll usually have a chat with the hiring manager or someone on the team about your background and experience. After that, depending on the role, you’ll either have a technical phone screen with an engineer, or work on a take-home project. If that goes well, we’ll have you on site in Cupertino for an interview panel with the team, which usually takes about 4 hours.

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. NOTE: Due to government environments this team supports, the role requires a US Citizen or Permanent Resident. Your Career The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability. This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines. Your Impact • Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance, • Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices, • CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery, • Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security, • Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues, • Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment, • Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency, • On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidents Your Experience • 5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, • BS or MS in Computer Science or related technical field, • Strong cloud expertise in Google Cloud Platform (preferred) or AWS, • Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools, • Proficiency in scripting/programming with Python, Go, or Bash, • Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar, • CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD, • Linux Administration – Strong knowledge of Linux systems and shell scripting, • Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices, • Experience troubleshooting production issues in high-scale environments, • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment The Team Our DevOps team is at the core of Cortex’s cloud infrastructure, enabling our engineering teams to build and deploy software at scale. We thrive on automation, efficiency, and reliability, always pushing the boundaries of DevOps excellence. If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you. 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 $147000/YR - $237500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for a Senior Data Engineer with a background in creating reliable and scalable data pipelines and platforms. This person must understand the fundamentals of modern data warehousing, big data technologies, and cloud-based data solutions. The person in this role will be designing, implementing, testing, and deploying data pipelines and/or features for data-driven applications and analytics. The role will work collaboratively across multiple teams to gather requirements, validate designs and implementations, and test the resulting deliverables. In this role, you will: • Optimize and enhance existing data pipelines and data models to incorporate new data sources and user feedback., • Design new data architectures and data models, including schema definitions and data transformations, and implement such features using various data processing / ETL technologies., • Research and design new data pipelines for new use cases and implement such pipelines and backend logic using Python, C++, TypeScript or other relevant programming languages., • Utilize a variety of AWS technologies such as S3, Glue, Athena, Redshift, Kinesis, EMR, DynamoDB, and Terraform., • Interact with a variety of data sources including databases, APIs, raw data, and/or processed sensor data, and other data streams., • Collaborate with Data Scientists, Software Engineers, and Operations to understand end user requirements and deliver robust data solutions., • Develop and maintain data quality checks and monitoring processes to ensure data accuracy and reliability. Qualifications: • Strong technical background as evidenced by BS, MS, or equivalent experience, in Computer Science, Data Science, or a related engineering discipline., • 5+ years of experience building scalable backend data pipelines and/or intuitive data platforms with significant scale and performance., • Solid understanding of SQL, NoSQL, and related data technologies., • Recent experience with Python, C++, TypeScript or similar languages., • Experience with ETL processes and tools., • Experience with using internal and external facing data APIs., • Experience with data profiling and performance tuning for large datasets., • Experience with data service performance measurement, observability, and tuning., • Experience with ELK (Elastic, Logstash, Kibana) Stack., • Familiarity with data streaming technologies (e.g., Kafka, Kinesis)., • Bonus for experience with data visualization tools (e.g., Tableau, Kibana, Looker)., • Bonus for experience in designing data lakes and data warehouses., • Bonus for experience with collaborative tools for data governance and lineage., • Bonus for experience with real-time data processing., • Bonus for experience with AWS PaaS data technologies and services., • Great communicator; you must be capable of writing clear, concise, and detailed documentation., • Passion; you must be passionate about autonomous vehicles and their potential impact on humanity. What we offer: • Competitive compensation package including equity and biannual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits), • Flexible PTO and generous parental leave policies, • Our office is centrally located in Mountain View, CA, • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace, One Medical, Gympass, Spring Health, • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA, • Various incentive programs (referral bonuses, patent bonuses, etc.) Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits. California Pay Range $185,000 - $230,000 USD Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits. At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law. In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

The Bosch Research and Technology Center North America, with offices in Sunnyvale, Pittsburgh, and Cambridge, is part of the global Bosch Group, a company with over 70 billion Euro in revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) provides innovative technologies in various Bosch business fields such as energy technologies, internet technologies, circuit and advanced MEMS design, semiconductors and wireless, and artificial intelligence. As a part of the global research organization, our research department in Silicon Valley focuses on scalable and assistive AI. We develop solutions for Bosch products and services in the automated driving, advanced driver assistance systems (ADAS), enterprise AI, smart home and building, and manufacturing domains. Our AI systems engineering team is looking for an experienced AI data engineer who is passionate about designing machine learning pipelines at scale and building cutting edge AI software applications. Your work will help bridge the gap between research and product, bringing new innovations to Bosch business units at scale. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Work with an international team of engineers and research scientists to deliver AI applications to internal Bosch customers, • Communicate with various stakeholders to identify technical and system requirements for machine learning solutions, • Design and build scalable data pipelines to integrate machine learning prototypes into production systems, • Write, test, and review code, contribute to clearing technical debt, and troubleshoot issues to maintain code quality and system performance Basic Qualifications: • Bachelor’s degree in software engineering, computer science, or related field, • 2+ years of professional software development experience working on a machine learning product in Python, • Expertise in using distributed data processing tools and frameworks like Spark, Kafka, Databricks, etc., • Experience using cloud services like Azure or AWS, • Experience integrating big data analytics applications using tabular or time-series data into production systems, • Excellent problem-solving skills and attention to detail, • Master’s degree in software engineering, computer science, or related field, • 5+ years of professional software development experience working on a machine learning product, • Experience integrating machine learning pipelines into production systems, • Experience working with AI researchers, • Industry experience in manufacturing or automotive is a plus We offer a competitive base salary for this position with a range in US-California of --$160,000 - $200,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: ___. Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. #LI-JM1

* We are a Tier 1 social media company pushing the boundaries of search engine monetization across multiple apps. * As part of our Search Ads team, you will have the rare opportunity to work on a large-scale, global search ads platform from the ground up, contributing to the development, optimization, and innovation of our ad systems. This role is for those who are passionate about solving complex technical challenges and scaling products in a rapidly evolving space. * • Develop large-scale ad systems that handle billions of user interactions., • Optimize relevance models and ranking strategies using advanced machine learning techniques, including semantic matching, multi-modal learning, and active learning., • Drive innovation in Ads algorithms to enhance personalization and user engagement., • Enhance our NLP capabilities (e.g., query classification, seq2seq models, Named Entity Recognition, and knowledge graphs) to improve query understanding and ad targeting., • Work on CTR/CVR model optimization, focusing on feature engineering, data analysis, and predictive modeling., • Research and develop ads pacing algorithms and traffic control strategies to maximize ad performance., • Collaborate with product managers and cross-functional teams to define and refine product strategies and features. * • Bachelor's degree in Computer Science, Computer Engineering, or a related field., • 5+ years of experience in one or more domains such as Search, Ads, Recommendation Systems, Monetization, or Shopping Products., • Proficient in programming languages like Python, Go, or C/C++., • Strong experience with Machine Learning, Deep Learning, NLP, and ranking/recommendation systems., • Proven track record of working with Tier 1 or Tier 2 tech companies is highly preferred.

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. Your Career We are seeking a Sr LLM Application Engineer to join our team and lead the development and optimization of cutting-edge Large Language Models (LLMs) within the cybersecurity domain. You will play a pivotal role in advancing our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader, you will lead high-impact projects, mentor cross-functional teams, and contribute to the strategic direction of our AI-driven cybersecurity initiatives. Your Impact * Develop & Optimize LLMs: Lead the design, fine-tuning, and optimization of state-of-the-art LLMs for various cybersecurity applications, focusing on both performance and accuracy. * Model Evaluation: Conduct in-depth evaluations of LLMs, assessing their effectiveness, efficiency, and business alignment. * AI Technology Integration: Implement advanced AI technologies, such as Retrieval-Augmented Generation (RAG), function calling, and code interpreters, to enhance LLM capabilities. * Research & Development: Stay at the forefront of advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural networks. * Parallel Training Techniques: Utilize data and model parallel training techniques to efficiently manage large-scale models. * Cross-Functional Leadership: Work closely with ML engineers, data scientists, and product teams to guide, mentor, and foster collaboration across disciplines. * Documentation & Communication: Maintain detailed documentation of models, methodologies, and findings, ensuring clear communication across the organization. * Product Strategy: Contribute to the AI-driven product roadmap, vision, and strategic direction. * New Initiatives & Architecture: Lead the incubation of new initiatives, design scalable AI/ML solutions, and drive strategic technology choices for delivery within a microservices architecture. * Model Deployment: Design, test, and deploy machine learning models, including LLMs, and develop scalable pipelines for both batch and real-time use cases. Your Experience * Education: Bachelor's degree in Computer Science, Engineering, or a related field. * Experience: 5+ years of industry experience in machine learning, data analytics, and software engineering. * Programming: Expertise in Python (or Go). * LLM Expertise: Proven experience working with large language models (e.g., open ai, LLAMA, GEMINI.). * Deep Learning: Strong theoretical or empirical understanding of deep learning techniques and frameworks. * ML Model Deployment: Experience in building, testing, and deploying machine learning models, particularly large language models. * Debugging & Analytical Skills: Strong ability to troubleshoot and optimize models. * Cloud & Distributed Computing: Familiarity with building applications using Google cloud platform(GCP) computing environments. * MLOps/LLMOps: Experience with DevOps/MLOps practices for machine learning. * Communication: Excellent communication skills for explaining technical concepts and collaborating with cross-functional teams. * Passion: A keen interest in staying updated with the latest AI and machine learning trends. * Preferred Skills & Experience * GenAI Solutions: Familiarity with building GenAI solutions using the RAG framework and LLM Agentic applications. 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 $120,000 - $200,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enables advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for engineers that have strong problem solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with globalized engineering and product teams in a high-impact and fast-paced environment. What you'll do: • Build forecasting models to allow advertisers to more efficiently spend ad budgets., • Create innovative monetization products that drive engagement and revenue., • Participate in the development of a large-scale Ads system., • Participate in the development and iteration of Ads algorithms by using Machine Learning, • Work on NLP and CV related technology for content understanding and taxonomy., • Contribute to the success of a rapidly growing and evolving organization with speediness and quality. Requirements: Minimum Qualifications: • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python., • Ability to think critically and to formulate solutions to problems in a clear and concise way., • Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting., • Experience with one or more of the following: Machine Learning in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack. Preferred Qualifications: • BS degree in Computer Science, Computer Engineering or other relevant majors, with 5+ years of related work experience., • Relevant professional experience with machine learning, data mining, data analysis, distribution system., • Good product sense and experience designing and implementing product features.

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. The Ion™ endoluminal system is Intuitive's new robotic platform for minimally invasive biopsy in the peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. The Ion R&D team is looking for a gifted engineer to contribute to our PlanPoint software and robot navigation, which together guide our physician users through the 3D structure of the lung, to take a biopsy at a target location. As a senior machine learning engineer on the Ion project, you will join a small team of experts in medical imaging, robotics, and software. You will play a lead technical role, working to conceptualize, design, and evaluate new solutions for medical image analysis. You will contribute across the product development life cycle, taking algorithm concepts from initial prototypes to production software. Responsibilities: • Work as part of a cross-functional team in a fast-paced, start-up-like business unit, • Develop new algorithms and software implementations for image segmentation, classification, registration, etc., • Prototype and iterate on designs, develop tests, and deliver high-quality software in Python or C++, • Participate in failure mode analysis, to identify and implement robust hazard mitigation strategies, • Maintain practical knowledge of state-of-the-art medical imaging research literature Requirements: • Master’s degree and 6 years experience; or a PhD with 3 years experience; or equivalent experience, • Demonstrated expertise in medical image analysis, computer vision, or machine learning, • Strong working knowledge of Python and/or C++ programming, • Great communication, presentation, and documentation skills, • Expertise in object-oriented programming, • Knowledge of one or more of the following libraries and tools: PyTorch, TensorFlow, ITK, OpenCV, or other image analysis toolkits, • Hands-on project experience in medical devices or another regulated industry Candidate can be located in Sunnyvale, CA OR Blacksburg, VA Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation. The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations. We are seeking a Staff Infrastructure Engineer to scale our data collection, monitoring, and vehicle infrastructure to support our growing fleet of autonomous vehicles. In this role, you will collaborate closely with our platform and autonomy teams to design and deliver infrastructure solutions that directly impact autonomy software development, issue triage, and deployment of AVs to new customer sites.This is a hands-on, high-impact role where your work will enable reliable data pipelines, scalable CI systems, and efficient deployments to production environments. This role is onsite 5 days a week at our Mountain View, CA office! • Build and maintain ETL pipelines for ingestion, aggregation, and presentation of data from our fleet of live autonomous trucks, ensuring scalability, reliability, and performance., • Design and implement solutions for upgrading and deploying on-board vehicle infrastructure and AV stack software to production vehicles with minimal downtime., • Collaborate with autonomy and platform teams to deliver scalable CI pipelines that automate the development, testing, and release of AV software., • Implement infrastructure-as-code solutions (e.g., Terraform) to manage setup and teardown of environments supporting operations at customer-facing sites., • Work with operations teams to coordinate and execute deployments to new customer sites., • Develop and manage scalable deployment of in-house simulation software, integrating scenario-based simulation testing into CI pipelines to validate AV software before release., • 7+ years of experience in a similar infrastructure engineering role., • Proficiency with Terraform or similar infrastructure-as-code tools., • Hands-on experience with Docker and related tools (e.g., Docker Compose, Kaniko)., • Experience deploying to Kubernetes and managing packages via Helm., • Knowledge of relational and time-series databases (e.g., Postgres, TimescaleDB, InfluxDB)., • Familiarity with workflow orchestration tools (e.g., Argo, Airflow)., • Proven track record managing upgrades and rollbacks of customer-facing SaaS environments., • Scripting expertise in Python and Bash., • Experience with configuration management tools (e.g., Ansible)., • Working knowledge of CI/CD solutions such as GitLab CI or Jenkins is a plus. Salary Range - $180,000- $260,000 Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability. We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations. Visit us at ___ for more company information and ___ for more open roles. • Forbes: ___, • Tech Brew: ___, • Business Wire: ___, • Auto Futures: ___, • Automotive News: ___, • Forbes: ___, • Bloomberg: ___, • Reuters: ___ At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility. We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Join our AI Solution Success team within the Platform Product organization. Dive into customer-facing and internal projects alongside seasoned professionals. Contribute to cutting-edge innovations that drive business growth. Our global team fosters collaboration and shares best practices. If you're a results-driven problem solver who likes to dream big, join us in crafting scalable AI solutions! Who we are? We are a team composed of cross-functional SMEs from ATG, Platform, Business Units, Customer Outcomes, and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer-driven innovation within the Platform Product team. What's our purpose? Accelerate value realization of AI-powered workflows by customers at scale. What we do? Work with early adopters (customers) to validate AI solutions and realize value by learning and quickly improving the solution on real customer data. We'll create practical implementation guides to support new implementations, boost adoption, and drive future product innovation. Some of the work from the team has been instrumental at improving customer adoption of our multi-language Natural Language Understanding (NLU), AI search, Task Intelligence, Issue Auto Resolution, Document Intelligence, and most recently, Generative AI with customers. What you get to do in this role: • You will implement AI products on the Now platform for our early adopter customers hands on., • Such products include all Now Assist Capabilities like LLM-powered VA Topic flows, conversational catalogs, AI Search (with Q&A) and many other latest applications., • You will also be expected to learn and support customers with existing AI products like Virtual Agent, NLU, AI Search, Issue Auto Resolution, Task Intelligence, Document Intelligence, and other upcoming capabilities before/after they hit the market. These capabilities may include classical Machine Learning Algorithms or Deep Learning based models like LLMs., • You will be expected to learn about the newly released and pre-release features by getting your hands dirty and diving deep into the products. You will become an expert at implementing AI Solutions for various customers., • You will debug and find quick workarounds for issues that are solvable on customer instances., • Act as an SME to solve complex user issues related to AI solutions., • You will not only validate these newly introduced products, but also work alongside other teams to help them quickly make improvements to the product. Help with getting product feedback to product and engineering teams to continually improve and expand product capabilities, features, and interoperability in consideration of customer needs and requirements. You will bring the on-ground issues faced by customers to the table., • Help define best practices to build and use AI products and various AI testing tools with customers and educate the team. Such tools may involve auto conflict detection, automation discovery, topic recommendation, batch testing tools, or generative AI tools., • Analyze metrics to continuously measure the quality and E2E experiences of AI solutions with actionable insights., • Prepare technical deliverables for customers in a consistent, high-quality, and timely manner., • Be the technical escalation point in solving customer issues and coordinating and prioritizing timely resolutions with our engineering team. You will be hands on resolving issues for customers as you work live with engineering teams. To be successful in this role you have: Technical Skills Must Haves: • Experience and fluency with ServiceNow Workflows and Flow Designer., • Expertise with ServiceNow scripting (Glide JavaScript) with knowledge of best practices and an understanding of why those are recommended. You should be thorough with Business Rules, Script Includes, Scheduled Jobs, Client Scripts, UI Policies., • You should have great command of Now Platform building blocks like forms, tables, app development, update sets, instance upgrades, and provisioning., • Passionate and persistent technical problem-solver with experience handling integrations with various systems and building applications on the platform to solve business problems., • We would like to dive deep into as many of the following areas as you have worked on:, • Preferred expertise with integrations and Integration Hub., • Preferred experience with any AI solution like Virtual Agent flows, AI Search, Predictive Intelligence, IAR, TI, etc., • Preferred expertise with Performance Analytics Reporting (PAR)., • Preferred knowledge of either Python or Java., • Understand Customer data by using analytical tooling and identify top issues that need to be automated., • Preferred that you understand AI model basics and have an idea about how to measure a model’s performance., • Strong customer-facing communication skills with sharp analytical skills to clearly identify the root cause of issues in products., • Identify product improvement opportunities, initiate discussions with internal teams, and carry forward the initiatives to completion., • Strong communication skills, both written and verbal, with a focus on active listening and effective contribution., • The capability to influence and provide consultation by presenting various options with their respective advantages, disadvantages, and associated risks. Such discussions would involve solving technical or business problems alike., • Interpersonal abilities coupled with a customer-centric mindset, enabling you to navigate cultural diversity effectively., • A track record of achieving ambitious goals in fast-paced and innovative settings., • Experience in documentation and presentation, particularly in supporting customer workshops and producing technical reports and tutorials., • Minimum of 8+ years of relevant work experience in a customer-facing technical role., • You have a proven track record of driving deployments with large Enterprise companies with multiple stakeholders -- preferably AI-based products., • You are confident in your programming proficiency in Java or JavaScript and enjoy thinking about business problems at a high level., • You have a passion for discovering customer use cases, identifying gaps, and resolving issues in the product. #productjobs FD21 Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate! Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___ for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing: * Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. * Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. * Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. * Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations. * Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks * Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies * Development of machine learning models * Partner with product and engineering team in implementing features and models, and enhancing systems What We Look For In You: * Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. * 4+ years of fraud analytics experience in financial services or FinTechs • Crypto/Blockchain experience Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.); * Successful track record of owning and driving large, complex data analysis projects. * Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature. * Experience in a fast-paced startup environment with a strong level of initiative; and * Ability and willingness to travel as needed. * Strong communicator in both writing and speaking * Multi-tasking and strong project management skills Nice to Haves: * Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and * Competitive total compensation package * L&D programs and Education subsidy for employees' growth and development * Various team building programs and company events * Wellness and meal allowances * Comprehensive healthcare schemes for employees and dependants * More that we love to tell you along the process! The salary range for this position is $223,661.00 to $375,333.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-ED1 Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's ___.

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. We showed that we can deploy self-driving cars in the wild now we have to scale it. Scale is driven by large models and data: we are moving to ever larger models which generalize by being trained on more data. We need to optimize the model inference and training such that we can deploy ever larger models. Scale is driven by supporting multiple platforms: we are moving to new compute platforms, we need to support several onboard compute platforms and need to support offboard platforms e.g. for running simulations. We need optimizations which gracefully generalize to all platforms. In this role you work embedded in an ML Engineering and Modeling team, you work hand-in-hand with the modeling team to drive scale and multi-platform support of the models. Optimizing neural model inference and training while moving to ever larger and ever more deeply integrated models (culminating in the end-to-end vision) makes this a field of technical growth and technical leadership opportunity. This role requires to follow the latest developments in efficient ML and bring those innovations to Waymo’s production systems. You will: * Optimize neural model architectures and systems for high performance across diverse GPU and TPU platforms (onboard and simulation). * Enhance neural model and system performance for real-time constrained environments, such as Waymo's onboard systems. * Develop and apply post-training and low-level optimizations (e.g., quantization, kernel optimization) to improve inference speed and reduce memory footprint on modern accelerators. * Innovate new neural model architectures (e.g., sparse) and decoding strategies (e.g., speculative) to boost inference performance on GPUs and TPUs. * Optimize training speed and efficiency for large, memory-bound models and I/O-bound fine-tuning processes. * Foster collaboration with ML infrastructure, hardware, simulation, and Alphabet research teams. You have: * Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field. * Experience: * 6+ years in software development for neural model inference or training, with 3+ years specifically optimizing these on GPU/TPU architectures. * 3+ years developing real-time systems, ideally on-device (e.g., Waymo's onboard). * 3+ years in a technical leadership role within large ML Engineering organizations. * Technical Skills: Proficient in C++, Python, and modern deep learning toolkits like PyTorch or JAX. * Passionate about driving engineering excellence and efficient model development through automation, evaluation and verification of models in production We prefer: * Experience with ML-driven production systems, covering large-scale data, training, evaluation, and deployment. * Proficiency in developing and optimizing large-scale vision, video, or multi-modal foundation models. * Familiarity with end-to-end model development challenges. * Ability to thrive in a fast-paced environment. In this hybrid role you will report to the Engineering Director in Perception #LI Hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$281,000—$356,000 USD

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. Location: Hybrid, working onsite at our Santa Clara, Ca headquarters 3-5 days per week. Job Title: Machine Learning Engineer, Staff - d-Matrix Model Factory What You Will Do: d-Matrix is a pioneering company specializing in data center AI inferencing solutions. Utilizing innovative in-memory computing techniques, d-Matrix develops cutting-edge hardware and software platforms designed to enhance the efficiency and scalability of generative AI applications. The Model Factory team at d-Matrix is at the heart of cutting-edge AI and ML model development and deployment. We focus on building, optimizing, and deploying large-scale machine learning modelswith a deep emphasis on efficiency, automation, and scalability for the d-Matrix hardware. If you’re excited about working on state-of-the-art AI architectures, model deployment, and optimization, this is the perfect opportunity for you! What You Will Bring: * Design, build, and optimize machine learning deployment pipelines for large-scale models. * Implement and enhance model inference frameworks. * Develop automated workflows for model development, experimentation, and deployment. * Collaborate with research, architecture, and engineering teams to improve model performance and efficiency. * Work with distributed computing frameworks (e.g., PyTorch/XLA, JAX, TensorFlow, Ray) to optimize model parallelism and deployment. * Implement scalable KV caching and memory-efficient inference techniques for transformer-based models. * Monitor and optimize infrastructure performance across different levels of custom hardware hierarchy - cards, servers, and racks, which are powered by the d-Matrix custom AI chips * Ensure best practices in ML model versioning, evaluation, and monitoring. Required Qualifications: * BS in Computer Science with 7+ or MS in Computer Science with 4+ years ofStrong programming skills in Python and experience with ML frameworks like PyTorch, TensorFlow, or JAX. * Hands-on experience with model optimization, quantization, and inference acceleration. * Deep understanding of Transformer architectures, attention mechanisms, and distributed inference (Tensor Parallel, Pipeline Parallel, Sequence Parallel). * Knowledge of quantization (INT8, BF16, FP16) and memory-efficient inference techniques. * Solid grasp of software engineering best practices, including CI/CD, containerization (Docker, Kubernetes), and MLOps. * Strong problem-solving skills and ability to work in a fast-paced, iterative development environment. Preferred Qualifications: * Experience working with cloud-based ML pipelines (AWS, GCP, or Azure). * Experience with LLM fine-tuning, LoRA, PEFT, and KV cache optimizations. * Contributions to open-source ML projects or research publications. * Experience with low-level optimizations using CUDA, Triton, or XLA. Why Join Model Factory? * Work at the intersection of AI software and custom AI hardware, enabling cutting-edge model acceleration. * Collaborate with world-class engineers and researchers in a fast-moving AI-driven environment. * Freedom to experiment, innovate, and build scalable solutions. * Competitive compensation, benefits, and opportunities for career growth. This role is ideal for a self-motivated engineer interested in applying advanced memory management techniques in the context of large-scale machine learning inference. If you’re passionate about implementing and optimizing machine learning models for custom Silicon, and are excited to explore cutting-edge solutions in model inference, we encourage you to apply. Equal Opportunity Employment Policy d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day. d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Software Engineer on the AI Tools team at Tenstorrent, you’ll build intelligent systems that help developers create faster, more efficient compute kernels for our AI hardware. You’ll combine low-level performance know-how with AI techniques to automate optimization, debugging, and kernel generation. If you like blending systems programming with machine learning to solve real performance problems, you’ll feel right at home. This role is hybrid, based out of Toronto, ON; Austin, TX; Santa Clara, CA, with the opportunity to be remote on a candidate-by-candidate basis. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are • Skilled in Python and C++ with a strong grasp of algorithms, data structures, and performance tuning., • Comfortable working with machine learning frameworks like PyTorch or TensorFlow and curious about applying LLMs to systems work., • Experienced with GPU programming (CUDA, OpenCL, ROCm) and optimizing kernels for speed and efficiency., • Excited by the idea of automating tedious development tasks and turning them into intelligent, AI-driven workflows. What We Need • Design AI-powered tools that help developers write, optimize, and debug compute kernels., • Integrate these tools into existing compiler and development workflows., • Build automated profiling, testing, and analysis systems that flag performance and correctness issues., • Experiment with novel AI and ML approaches for program synthesis, kernel optimization, and automated debugging. What You Will Learn • How to merge AI techniques with low-level systems programming for real-world performance gains., • Ways to leverage large language models for code generation, optimization, and developer tooling., • How to work closely with hardware, compiler, and ML teams to bridge high-level AI ideas with low-level execution., • Strategies for building scalable, intelligent development infrastructure for advanced semiconductor products. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

We are a global tech leader focused on pushing the boundaries of search engine monetization across various platforms. Our team is dedicated to leveraging state-of-the-art machine learning technologies to optimize advertising solutions and drive innovation in search monetization. With a mission to expand our footprint in the digital advertising space, we are looking for a highly skilled Senior Machine Learning Engineer to join our team and contribute to the growth of our U.S. Search Ads business. As a Senior Machine Learning Engineer on our Search Ads team, you will play a critical role in the development and scaling of a large-scale ad platform. You will be responsible for creating, optimizing, and implementing machine learning models to enhance ad personalization, ranking, and relevance. This role offers a unique opportunity to make a direct impact on the growth and success of our search monetization initiatives. • Participate in the design and development of a large-scale search ads system., • Optimize relevance models and strategies using techniques like semantic matching, active learning, and multi-modal models., • Develop and iterate on ad algorithms to improve ad targeting, personalization, and user engagement., • Enhance NLP capabilities for better query understanding, including query classification, seq2seq models, NER (Named Entity Recognition), and knowledge graph optimization., • Work on CTR (Click-Through Rate) and CVR (Conversion Rate) model accuracy, focusing on data analysis, modeling, and feature engineering., • Conduct research and development on ad pacing algorithms and traffic control to optimize ad performance., • Collaborate with product managers and cross-functional teams to define product strategies and features., • Bachelor’s degree in Computer Science, Computer Engineering, or a related field., • 5+ years of experience in search, ads, recommendation systems, monetization, or related domains., • Proficiency in programming languages such as Python, Go, or C/C++., • Strong expertise in Machine Learning, Deep Learning, NLP, and ranking/recommendation systems., • Demonstrated ability to analyze data, create predictive models, and optimize performance metrics., • Excellent problem-solving skills with the ability to think critically and formulate solutions in a clear, concise manner., • Proven track record of working in fast-paced, cross-functional environments, preferably in Tier 1 or Tier 2 tech companies., • Strong communication and collaboration skills, with the ability to work effectively in a cross-cultural team setting., • Bilingual proficiency in Chinese and English is preferred, but not required. Location: San Jose, CA, United States

Lab Summary: Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc. Position Summary: For this position we are expanding our Advanced Intelligence Labs (AILs) voice technology and features to include advanced research and projects in Wake word detection, Automatic Speech Recognition (ASR), that includes Acoustic and Language Modeling, and personalization. We also work on language and gender detection using speech signals, Speaker identification, verification and diarization techniques. At AIL we perform state-of-the-art research in multi-lingual/accents research and bringing those research ideas to production. We are looking for candidates with extensive expertise in Digital Signal/Speech Processing with Speech recognition specialization, demonstrated research expertise by publishing papers in reputed journals/conferences, excellent knowledge of Deep/Machine Learning with 5+ years of industry experience. Candidates are expected to work in a fast paced environments. Position Overview: For this position we are expanding our Advanced Intelligence Labs (AILs) voice technology and features to include advanced research and projects in Text to speech synthesis, Automatic Speech Recognition (ASR), that includes Acoustic and Language Modeling, and personalization. We also work on audio generation, speech cloning technologies. At AIL we perform state-of-the-art research in multi-lingual/accents research and bringing those research ideas to production. We are looking for candidates with extensive expertise in Digital Signal/Speech Processing with Text to Speech Specialization, demonstrated research expertise by publishing papers in reputed journals/conferences, excellent knowledge of Deep/Machine Learning with 5+ years of industry experience. Candidates are expected to work in a fast paced environments. Position Responsibilities: • Architect and design end to end Automatic Speech Recognition products, applications and solutions for specific business needs and provide implementation guidance during delivery, • Leverage, customize and implement TTS models, algorithms, and methodologies to improve the overall quality TTS in various applications and systems, • Analyze and evaluate the performance TTS systems and provide design recommendations, • Analyze and make right technological choices for generative ai solutions, • Design and prototype reusable components for LLM based solutions for TTS, • Architect components of an TTS solution to address Responsible AI & Security, • Collaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholders, • Create and maintain comprehensive technical documentation that comprehensibly captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future development, • Harness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiency, • Exploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatility, • Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy Required Skills: • MS or Ph.D. in Computer Science or Digital Signal Processing or equivalent combination of education, training, and experience, • 5+ years of relevant professional experience in Machine Learning or relevant field, • Experience with Tensorflow or Pytorch or similar frameworks, • Worked on advance architectures such as Tacotron, WavNet, Fastspeech, Vall-e and other advanced models for TTS systems, • Experience working in voice cloning, neural style transfer and machine synthesis of speech from speakers, • Experience in Prosody modeling for more natural generation of speech, • Working experience on TTS in large scale production systems, • Working on various vocoder techniques for production, • Experience in modeling ML algorithms on GPUs at scale, • Experience with multi-lingual TTS, low resource speech research and architectures, • Working experience on deploying recognition engines on both server and edge devices, • Knowledge of state-of-the-art Large Language models such as Deepseek, GPT, BERT variants and other deep fusion techniques is essential, • Ability to develop project plans and experience to execute them, • Research expertise in ML and written research publications, • C/C++, PYTHON, JAVA programming language experience $192,300 - $264,550 USD Additional Information Disclosure of Trade Secrets Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer. Essential Job Functions This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers. Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email ___ Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email Equal Employment Opportunity At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: ___

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at ___. We seek an experienced Senior DevOps Engineer to lead and enhance our cloud infrastructure, ensuring high availability, security, and scalability of mission-critical applications. In this role, you will design and implement robust DevOps solutions, fostering a continuously delivered microservices environment. You will collaborate with cross-functional teams to drive best practices and innovation, ensuring rapid deployment and immediate response to issues. The ideal candidate has 5-7+ years of experience in a Cloud/SaaS company, a passion for cutting-edge technology and a commitment to building resilient, scalable systems that support our success. This position is required to commute into our San Jose, CA office three days a week on Mondays, Tuesdays, and Thursdays. \n You Will: • Design and implementation of elastically scalable infrastructure solutions., • Define, enforce, and continuously improve stringent security standards across all systems., • Design systems for business continuity, ensuring resilience and disaster recovery capabilities., • Implement and maintain robust monitoring, metrics, and alert systems to ensure high availability., • Evaluate, recommend, and adopt the most appropriate and up-to-date technologies for the organization., • Ensure seamless integration of DevOps practices within an Agile/Scrum environment while responding to urgent operational needs., • Maintain and promote high standards of work quality across the team, driving best practices., • Foster a culture of continuous learning and growth by encouraging the exploration of new tools, technologies, and processes. Must-Have: • Expert knowledge of microservices architecture and design., • Extensive experience with Kubernetes (AWS EKS preferred) and AWS ECS., • Strong experience with both SQL and NoSQL database management., • Expert-level experience with AWS cloud services., • Hands-on experience with ISO 27001 / SOC2 compliance and audit initiatives., • Proficient in Linux systems and internals., • Experience in high-availability environments with a focus on scalability and resilience., • 6+ years of experience in setting up and maintaining cloud environments., • Proficient in Terraform for infrastructure as code., • Experience with Jenkins or similar CI/CD tools., • Proficiency in scripting and programming languages such as Shell and Python., • Hands-on experience with cost optimization, security, and automation in cloud environments., • Ability to work effectively in a global, distributed team environment., • US Citizen only for this role Nice-to-Have: • Experience with workflow/orchestration engines., • Familiarity with distributed systems architecture., • Prior experience in a startup environment., • Experience building and supporting highly available (99.999% uptime) systems., • Knowledge of streaming infrastructure technologies., • Experience designing and maintaining auto-scalable microservices., • Proficiency with Terraform for infrastructure automation., • Familiarity with JIRA or similar project management tools is a plus., • Experience with OWASP security practices or CISSP certification., • Hands-on experience with ECS/Fargate., • Bachelor's degree in Computer Science or a related field is required; a master's degree is a plus. \n$180,000 - $195,000 a yearAppZen is committed to fair and equitable compensation practices. The base pay range for this role is listed above. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans.\n We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. Please note that this role requires you to be in our Santa Clara office for two days per week. PLATO (Platform Engineering and AI Technology Organization) at ServiceNow is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-end, industry-leading work experiences for our customers. We are a group of people deeply invested in the success of our customers that happen to have expertise and knowledge in advanced technologies and software engineering best practices. We are data driven, structured, committed and we enjoy what we are doing. We prioritize robustness, performance and user experience over the technology stack and tools. We are a group of technology professionals and platform engineers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. As a Senior Staff Machine Learning Engineer - Site Reliability Engineer you will: • Contribute to the design, development and implementation of infrastructure, platform, deployment and observability features that power AI workloads., • Collaborate with researchers, AI engineers, and infrastructure teams to ensure our GPU clusters perform efficiently, scale well, and remain reliable., • Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling., • Contribute to the execution of deployment and support activities for AI/ML developers;, • Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.);, • Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users;, • Experience with operating LLMs on NVIDIA GPUs., • Be a mentor for colleagues and help promote knowledge-sharing. To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • Proficient in prompt engineering and developing LLM based features, • Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization Experience in using AI productivity tools such as Cursor, Windsurf, etc • 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health;, • 6+ years of experience operating highly-available distributed workloads on Kubernetes following a DevOps approach., • 6+ years of development experience with Python, GoLang, Java or similar languages;, • Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI);, • Strong working experience operating distributed systems built on Linux and J2EE;, • Experience with software-defined networking, infrastructure as code and configuration management;, • Experience building software for compliance and security in regulated environments, • Ability to drive outcome in projects with material technical risk. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. ___. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. What you get to do in this role: • Develop high-quality, clean, scalable, and reusable code by adhering to best practices in software engineering architecture and processes, including code reviews and unit testing., • Collaborate closely with product owners to gather detailed requirements specifically for Generative AI products. You will take full ownership of your code throughout the entire lifecycle—from design and implementation to test automation and the delivery of high-quality, innovative solutions that leverage generative AI technologies for our users., • Create user-friendly software that enables customers to extend and customize functionality according to their specific needs. Work alongside cross-functional teams to integrate machine learning solutions effectively., • Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities., • Serve as a mentor to colleagues, fostering an environment of knowledge-sharing and continuous learning. To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry., • Over 8 years of experience with strong proficiency in React.js, Java, Python, or a similar object-oriented programming language., • A solid understanding of data structures, algorithms, object-oriented design principles, design patterns, and considerations for performance and scalability., • Strong analytical and problem-solving skills. Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate! For positions in this location, we offer a base pay of $163,600 - $286,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license.

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Title: Staff QA Engineer in Machine Learning Location: Santa Clara, CA ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before. We’re disruptive. We work hard but try not to take ourselves too seriously. We are highly adaptable and constantly evolving. We are passionate about our product, and we live for our customers. We have high expectations and a career at ServiceNow means challenging yourself to always be better. What you get to do in this role: As part of the ServiceNow's Machine Learning Quality Engineering team, work on AI/ML-specific test strategies, and build testing frameworks. Opportunity to learn, work and contribute to the innovative and enterprise grade ServiceNow’s Natural Language Understanding and Artificial Intelligence engine as part of the overall offering. Experience with instrumentation and performance profiling of systems with large memory requirements and tight response tolerances. • Take ownership of end-to-end quality deliverables for ML/AI products., • Act as the voice of quality, collaborating with Product and Development teams to define comprehensive test strategy while establishing and adhering to quality milestones, and execute according to plan., • Evaluate the quality, accuracy, performance, and safety of AI-generated content produced by LLMs and identify weaknesses, • Create and maintain test automation frameworksPartner with labeling teams to drive data creation processes/validation, • Collect, analyze, and report quality metrics from test execution and create defects based on results patterns., • Contribute to refining evaluation criteria and methodologies for model assessment to improve AI evaluation frameworks, • Coordinate with engineering organizations in troubleshooting or addressing issues with applications and dev/test environments., • Stay up to date with latest developments in LLMs and AI ethics to improve evaluation techniques In order to be successful in this role, we need someone who has: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry., • 8+ years of professional experience in software quality engineering, with a strong focus on AI and machine learning, • Deep, hands-on experience testing machine learning and generative AI systems, including validating model predictions and conducting end-to-end workflow integration testing, • Strong knowledge of synthetic data generation and prompt engineering to support robust model evaluation, • Expert-level understanding of AI principles, including agentic AI, algorithms, models, and responsible AI/ethics, • Proficient in multiple automated testing frameworks such as Java, JUnit, Selenium, TestNG, and other open-source tools, • Proven ability to lead quality efforts within Agile scrum teams, guiding QE engineers and collaborating cross-functionally, • Skilled at diagnosing and resolving complex issues, with a focus on root cause analysis (RCA) and long-term solutions, • Demonstrated ability to implement best practices and coding standards across tools, frameworks, and design patterns, • Fluent in Java and Python, with strong scripting skills for test automation and process optimization, • In-depth experience applying a wide range of testing techniques (unit, integration, performance, automation) and choosing the right one for the task, • Expert user of development tools such as IDEs, debuggers, build tools, source control systems, profilers, and Unix/system admin tools, • Familiar with ServiceNow instances and their integration in quality engineering workflows, • Solid experience working within Agile development environments, ensuring quality is embedded across the SDLC, • Effective at leading technical discussions across teams, bringing a clear understanding of software development life cycle (SDLC) best practices Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. ___. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact ___for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Gridmatic Inc. is a high-growth startup with offices in the Bay Area and Houston that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has multiple years of profitability without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We move quickly and fix things. We are environmentally and data-driven, with a growth-oriented, academic mindset. We value integrity as much as excellence. We are looking for a Machine Learning (ML) Engineer who can create forecasting models that help quickly decarbonize the electricity system. This is the ideal role for someone who wants to use their programming skills in a fast-paced environment, enjoys learning every day, and enjoys bouncing ideas off coworkers and collaborating on tough problems. This is a role where you will see your ideas tested and quickly proven in real-world settings, and where you will be on the forefront of cutting-edge technology in a nascent space. \n Responsibilities • Design state-of-the-art machine learning models for the electricity grid., • Research and implement ML algorithms and tools for generative time-series forecasting., • Extend existing ML libraries and frameworks., • Run tests and experiments to rapidly iterate and improve production models., • Monitor and maintain the quality of existing models., • Put creative approaches to the test with fast, revenue-impacting results. Requirements • Proven experience as a Machine Learning Engineer or similar role., • Understanding of data structures, data modeling and software architecture., • Deep knowledge of math, probability, statistics and algorithms., • Fluency in Python and machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, numpy, and pandas)., • Excellent skills in communication and teamwork., • Outstanding analytical and problem-solving skills., • BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or similar field; MS or PhD is a plus. \n$160,000 - $205,000 a year\n FAQ What’s your policy on remote work? We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week. How does the interview process work? We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team. Join our team and make a difference! Click below or email us at .

At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. At the heart of OKX's user activity are the Buy, Sell, and Convert features, which enable seamless crypto trading. As a global crypto investment platform, our vision is to empower the next billion users with the smoothest trading experience. In this role, you’ll lead a team of product managers while also staying hands-on to enhance our current offerings and shape the future of how users discover, trade, and assess crypto assets. Additionally, you will be responsible for designing and developing fiat-to-crypto infrastructure to support partners and building business cases around these systems. Deep collaboration across the fiat-to-crypto ecosystem—spanning Banking, Card, Web3 Wallet, Data, and more—is essential. You’ll also engage with local market partners to drive insights and innovation. * Lead the team by leveraging data to optimize key features of the Fiat product, driving product enhancements and customer engagement * Collaborate closely with the core product team to identify business needs, propose data-driven solutions, and deliver actionable insights that align with product goals. * Apply advanced data science methodologies including statistical modeling, A/B testing, and causal analysis to inform product decisions. * 5+ years of experience in data science, data analysis, machine learning, or a related field. * Proactive mindset with strong cross-functional collaboration skills to address complex challenges. * Expertise in product analytics and event-based tracking tools. * Advanced skills in SQL and proficiency in data modeling techniques. * Proficiency in Python and experience with analytics and machine learning/deep learning libraries (e.g., pandas, scikit-learn, tensorflow). * Strong understanding of statistical analysis and data mining methods. * Passion for cryptocurrency and blockchain innovations. * Excellent verbal and written communications skills, with the ability to translate insights into clear, actionable product strategies. * Experience in fintech, blockchain or crypto industry is highly desirable. * Familiarity with complex payment systems is a plus. • Competitive total compensation package, • L&D programs and Education subsidy for employees' growth and development, • Various team building programs and company events, • Wellness and meal allowances, • Comprehensive healthcare schemes for employees and dependants, • More that we love to tell you along the process! The salary range for this position is $220,000.00 to $330,000.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1

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. Your Career As a Principal AIOps Engineer for the Enterprise AI Platform, you will be a pivotal technical leader responsible for designing, developing, and implementing AI-driven solutions to enhance the reliability, performance, and efficiency of our critical IT and business systems. You will leverage the core AI platform to build sophisticated AIOps capabilities, transforming how we monitor, manage, and optimize our digital infrastructure and applications. This role requires a deep understanding of IT operations, machine learning, and scalable system design to proactively identify issues, automate remediation, and drive continuous improvement across the enterprise. Your Impact • AIOps Platform Development: Design, develop, and implement advanced AIOps solutions, leveraging machine learning algorithms and data analytics to automate and enhance IT operations. This includes developing real-time processing solutions for observational data (e.g., logs, metrics, events, traces)., • Anomaly Detection & Predictive Analytics: Lead the implementation of AI/ML models for proactive anomaly detection, root cause analysis, and predictive insights into system health and performance across applications and infrastructure at enterprise scale., • Intelligent Automation & Orchestration: Drive the automation of routine operational tasks, incident response, and remediation workflows using AI-driven agents and orchestration tools, minimizing manual intervention and improving operational efficiency., • Observability & Data Integration: Collaborate with observability teams to ensure the efficient collection, processing, and transformation of high-volume, cross-domain data from diverse sources (events, logs, metrics, tickets, monitoring tools) into actionable intelligence for the AIOps platform., • Incident Management & Remediation: Integrate AIOps insights with existing incident management systems, providing real-time intelligence to rapidly identify, diagnose, and resolve IT issues, leading to proactive issue resolution and reduced mean time to recovery (MTTR)., • Performance Optimization: Utilize AI insights to continuously monitor, analyze, and fine-tune IT systems for peak operational efficiency, capacity planning, and resource optimization., • Technical Leadership & Mentorship: Provide technical leadership and mentorship to other engineers, promoting architectural excellence, innovation, and best practices in AIOps development and operations., • Cross-Functional Collaboration: Partner with data scientists, ML engineers, software engineers, SREs, and IT operations teams to integrate AI/ML agents into the platform and ensure AIOps solutions align with business needs and deliver measurable ROI., • Innovation & Research: Actively research and evaluate emerging AIOps technologies, generative AI, LLM models, ChatOps AI, and advanced RAGs, bringing promising innovations into production through POCs and long-term architectural evolution. Your Experience • 10+ years of experience in software engineering, reliability engineering, or IT operations, including at least 5 years leading the design and implementation of AIOps solutions at scale., • Proven expertise in applying machine learning algorithms and data analysis techniques to solve complex IT operational challenges., • Strong hands-on experience in building and maintaining scalable data pipelines and workflows for efficient data collection, processing, and analysis from diverse IT sources., • Proficiency in programming languages such as Python, Go, Java, or Scala., • Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)., • Familiarity with data processing frameworks (e.g., Apache Kafka, Apache Spark) and IT monitoring tools (e.g., Prometheus, Grafana, Datadog, Splunk)., • Deep understanding of distributed systems architecture, microservices, and their operational challenges., • Demonstrated ability to translate business requirements and operational pain points into technical specifications and deliver robust AIOps solutions., • Excellent problem-solving skills and the ability to troubleshoot complex platform-related issues., • Strong communication and interpersonal skills, with a track record of influencing technical and cross-functional stakeholders., • Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field., • Experience with agentic systems and AI agents for automation., • Experience with DevOps practices and CI/CD pipelines in an AIOps context. 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 /YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. 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.

Proficient in C/C++/Python development in Linux environment and using standard development tools.

Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health. * Innovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale. * Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA. * Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. * Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology. For more information, visit ___. We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description. Staff Machine Learning Engineers at Hippocratic AI are foundational to the design, deployment, and optimization of cutting-edge ML systems powering our next-generation, safety-focused generative AI for healthcare. You’ll work closely with research scientists and product teams to build scalable infrastructure and models that support robust, real-time, and personalized conversational AI capabilities. We are seeking an experienced Staff Machine Learning Engineer to lead the development of machine learning pipelines, contribute to training and inference systems for Large Language Models (LLMs), and drive the productionization of ML models that directly impact healthcare delivery and patient outcomes. This role is both strategic and hands-on, perfect for someone excited about technical leadership in a fast-paced, mission-driven environment. Our engineering challenges include: * Designing scalable, high-performance infrastructure for LLM training, fine-tuning, and inference * Building ML pipelines and tooling for experimentation, evaluation, and deployment * Optimizing model performance and efficiency in production environments * Collaborating cross-functionally to integrate ML solutions into end-user applications * Maintaining compliance with healthcare standards of safety, privacy, and reliability * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD is a plus * 7+ years of industry experience building and deploying ML systems, ideally with focus on LLMs or deep learning * Strong software engineering skills and experience developing in Python * Deep experience with ML frameworks like PyTorch or TensorFlow * Familiarity with distributed training frameworks (e.g., DeepSpeed, FSDP, Horovod) * Proven experience designing, implementing, and scaling ML pipelines for large models * Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration (e.g., Kubernetes, Docker) * Exposure to healthcare, clinical, or life sciences data is a strong plus * Strong preference for individuals who can work onsite at our HQ located in Palo Alto, CA, but we will consider candidates throughout the U.S. As a Staff ML Engineer at Hippocratic AI, you’ll have a seat at the table in technical decision-making, partner closely with product and research leads, and help define the roadmap for scalable, safe ML systems. This role offers the chance to be deeply embedded in a team of engineers and scientists pioneering the future of healthcare-focused AI. * Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, ___ Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, * Polaris 2: ___ Polaris 2: * Personalized Interactions: ___ Personalized Interactions: * Human Touch in AI: ___ Human Touch in AI: * Empathetic Intelligence: ___ Empathetic Intelligence: * Polaris 1: ___ Polaris 1: * Research and clinical blogs: ___ Research and clinical blogs: ***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @___ email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

___ is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being. Team Our Motion Planning and Prediction team is looking for a Machine Learning Engineer to contribute to the development of cutting-edge ML models for autonomous vehicle motion planning. In this role, you will focus on researching, developing, and optimizing ML models, helping to integrate learning-based approaches into real-world autonomous systems. Who are we looking for? The ideal candidate has hands-on experience with ML frameworks, a solid understanding of imitation learning and deep learning, and a passion for advancing autonomous driving technology. \n Responsibilities • Develop and refine ML models for autonomous motion planning, using techniques like imitation learning, deep learning, and large-scale data-driven modeling., • Work on prototyping, validating, and iterating new ML architectures, optimizing performance for real-world deployment., • Contribute to the full ML lifecycle, including data processing, model training, performance evaluation, and deployment on autonomous vehicle platforms., • Collaborate with cross-functional teams (Perception, Simulation, Infrastructure, etc.) to ensure ML models integrate effectively within the broader autonomous driving stack., • Engage in code reviews, experiment documentation, and rigorous model testing to maintain high engineering standards., • Work in an agile, high-velocity environment, contributing to iterative development processes. Qualifications • Masters or PhD in Machine Learning, Robotics, Computer Science, or related fields., • 2+ years of experience with ML frameworks such as PyTorch, TensorFlow, or equivalent., • Knowledge of learning-based planning approaches, including imitation learning, reinforcement learning, and Transformer-based sequential modeling., • Proficient in Python or C++ for ML development and deployment., • Experience in machine learning workflows, including data processing, model training, and inference optimization., • Passionate about autonomous driving and its potential impact on mobility. Nice to Have • Experience with robot motion planning techniques such as trajectory optimization, sampling-based planning, or model predictive control., • Background in self-driving technologies (Perception, Prediction, Mapping, Localization, Planning, Simulation)., • Experience with ML deployment on real-time operating systems. \n The base pay for this position ranges from $112,000- $184,000 a year Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・A rewarding 401k program ・Flexible vacation policy ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our ___ for more details.

Location: Sunnyvale, CA Responsibilities: * Design and develop REST and messaging-based software infrastructure, including back-end systems and APIs. * Build low-latency, high-throughput server infrastructure components to handle large-scale transactions. * Analyze requirements, develop code, write unit tests, and create test tools. * Present and defend architectural, design, and technical decisions to internal and external stakeholders. * Collaborate across development, QA, operations, and other cross-functional teams. * Work with emerging technologies, including AI/ML modeling projects and initiatives. Qualifications: * 7-10+ years of programming experience in Golang & Python. * 5+ years of experience in high-scale, high-performance, and high-availability server development. * Strong understanding of algorithm complexity, parallel/distributed systems, advanced data structures, computer networking, and operating systems. * Expertise in REST/SOAP/JSON API development. * Experience with message bus technologies (RabbitMQ, ActiveMQ; Apache Kafka preferred). * Strong working knowledge of NoSQL databases (Cassandra required). * Proficiency in Python, Django, Flask, and distributed system frameworks like Apache Zookeeper. * 2+ years of experience in AI/ML. * Prior experience with Agile/Scrum methodologies. * Experience working in a startup environment is a plus. * Bachelor’s degree in Computer Science or related field (Master’s preferred). * Sana Arif Senior recruiter Mobile: 425.440.9806 14711 NE 29th Place, Suite 110 Bellevue, WA 98007

Howrecruit has been retained by a profitable, high-growth home services platform to help them hire a Senior Data Analyst with exceptional skills in designing and evaluating complex experiments. Experience using Python to manipulate data and draw insights from large data sets. Joining my client as a

About Kipling Secure Kipling Secure is a well-funded Silicon Valley startup building a disruptive, AI-driven cybersecurity platform to protect today’s digital infrastructure. Founded by industry veterans from Juniper, Meta, F5, Nokia/Nuage, and leading academic institutions, Kipling is reimagining security with a unique blend of Deep Learning, Generative AI, and Natural Language Processing to deliver intelligent, network-centric threat detection, response, and simplified operations. Our platform is cloud-native, requires no additional hardware, and is designed to deliver consumer-grade UX with enterprise-grade capabilities—tailored for a wide-range of IT environments including IoT and remote endpoints. We're backed by top-tier venture firms and are moving quickly to bring our product to market. About the Role We’re seeking a Principal AI / Machine Learning Engineer to lead the design, development, and deployment of AI models that power our cybersecurity platform. This is a rare opportunity to shape the architecture of a cutting-edge product and work at the intersection of AI, networking, and security. If you're passionate about building real-world AI systems that solve complex cybersecurity challenges, and want to work with a world-class team, this is your moment. • Architect and implement end-to-end machine learning pipelines tailored for cybersecurity use cases (EDR/XDR/NDR)., • Develop models that detect, prevent, and remediate sophisticated cyber threats using deep learning, GenAI, and NLP techniques., • Design and run large-scale experiments to evaluate the effectiveness of AI-driven threat detection strategies., • Apply modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) to analyze structured and unstructured security data., • Work with product, engineering, and threat research teams to translate domain insights into production-grade models., • Lead technical research and stay current with academic and industry advancements in AI for cybersecurity., • Contribute to the core ML platform design, including data pipelines, model training/inference infrastructure, and observability., • 7+ years of experience in machine learning, with at least 3 years focused on applied AI in cybersecurity or infrastructure., • Deep expertise in ML model development, especially in anomaly detection, time-series analysis, and NLP., • Experience working with cybersecurity telemetry (e.g., endpoint, network, or cloud data) is highly preferred., • Strong understanding of EDR/XDR/NDR technologies, networking protocols, and cloud environments., • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers., • Demonstrated ability to take ML models from prototype to production at scale., • Familiarity with MLOps practices and cloud-native environments (e.g., AWS, GCP, or Azure)., • MS or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field., • Be part of a founding team building a category-defining product at the forefront of AI and cybersecurity., • Collaborate with accomplished leaders from the world’s top tech companies and research institutions., • Influence the technical direction and vision of a rapidly growing startup., • Work on meaningful challenges that directly impact the safety and security of digital infrastructure worldwide., • Competitive salary and meaningful early-stage equity in a high-growth company.

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. We are seeking a talented Site Reliability Engineer (SRE) to join our SuperComputing team. In this role, you’ll ensure the reliability, scalability, and performance of our high-performance computing (HPC) infrastructure, powering cutting-edge AI research. You’ll collaborate with cross-functional teams to build and maintain systems that support massive-scale data processing and model training.You'll ensure Grok stays reliable for millions while inventing new approaches at the intersection of SRE and cutting-edge AI to help define the future of AI reliability engineering. * Design, implement, and maintain robust, scalable infrastructure for supercomputing environments. * Monitor and optimize system performance, ensuring high availability and minimal downtime. * Develop automation tools and scripts to streamline operations and improve system reliability. * Troubleshoot complex issues across distributed systems, networks, and storage solutions. * Collaborate with AI researchers and engineers to support compute-intensive workloads. * Implement security best practices to protect sensitive data and infrastructure. * Contribute to capacity planning and disaster recovery strategies. * Participate in an on-call rotation to ensure 24/7 system reliability. * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). * 3+ years of experience in site reliability engineering, DevOps, or systems engineering. * Proficiency in Linux system administration and scripting (e.g., Python, Bash). * Experience with containerization (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure). * Strong understanding of networking, distributed systems, and storage technologies. * Familiarity with HPC environments, GPU clusters, or large-scale data processing. * Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment. * Strong communication skills and a collaborative mindset. * Bonus: Experience with Infrastructure as Code (e.g., Terraform, Ansible) or monitoring tools (e.g., Prometheus, Grafana). This role is based in the Bay Area (San Francisco and Palo Alto). Candidates are expected to be located near the Bay Area or open to relocation. * Languages: Rust, Python, C++, Golang * Application Review: Submit your CV and a statement of exceptional work. Our team will review your application to assess fit. * Phone Interview (45 minutes): A brief conversation with a team member to discuss your background, key accomplishments, and motivation. * Main Interview Process * 1 Coding assessment: Solve problems in Rust, Python, C++, or Golang * 1 Skill Specific Technical Interview: Demonstrate practical skills in a live problem-solving session. * 1 SRE/System Case Study: Analyze and solve a complex, real-world system design or operational problem, demonstrating your technical expertise, problem-solving skills, and ability to optimize system reliability and performance. * Project Deep-Dive: Present your past exceptional work to a small audience. $180,000 - $440,000 USD Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer.

Our Journey ShopBack started as a spark of inspiration one night in 2014 when Henry and Joel were brainstorming ideas in Henry’s car. That lightbulb moment — earning Cashback while shopping online — was just the beginning. Fueled by the countless possibilities, the team locked themselves in a hotel room for 24 hours to code the very first prototype. Their mission? To revolutionize shopping by helping advertisers market more cost-effectively, while making every purchase more rewarding for shoppers. Today, ShopBack is the leading shopping, rewards, and payments platform in Asia-Pacific, empowering 45 million shoppers across 12 markets. With 20,000+ partners and over half a million transactions daily, we’re redefining the way the world shops. As we expand globally, we’re looking for adventurous, driven individuals to help us build The World’s Most Rewarding Way to Shop. Note: This role is based in Shenzhen and will require the incumbent to be based onsite, 5 days a week. \n Your Adventure Ahead • Utilize Machine Learning: Enhance our products and improve the shopping experience for both users and merchants. This includes leveraging machine learning in areas such as recommendations, personalization, risk, fraud detection, search, and more., • Subject Matter Expertise: Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges., • Handle Ambiguity: Navigate and resolve ambiguous problem definitions effectively with or without dedicated Product Manager support., • Metrics Driven: Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics., • Experimentation Culture: Foster a fast-paced, high-iteration experimental culture to test and refine solutions quickly., • Collaboration: Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes., • Curious: Interest in exploring and learning the latest technologies in the industry. Essentials to Succeed • Significant prior success as a Machine Learning Engineer working on challenging problems at scale, • 2-3 years of industrial ML experience, with expertise in modeling and statistical modeling, • Good understanding of data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - aka MLOps, • Ability to develop ML Products with good engineering practice and mindset, • Strong desire to solve tough problems with scientific rigour at scale, • An understanding of the value derived from getting results early and iterating, • Education in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics, • Strong skills in Python and machine learning and deep learning libraries (Pytorch and Tensorflow), • Passion to answer Product/Engineering questions with data \n ShopBackers' DNA Grit - We tackle all challenges head-on, working together to solve problems and achieve success. Hunger - We value hard work, and having relentless drive. Speed - We move fast and have a bias for action, all to deliver maximum impact. Impact - We focus on results, always aiming for the best possible outcomes and timelines. Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles. Exclusively for ShopBackers Career progression paths and opportunities to take on greater challenges that help you realise your ambitions. Be part of a winning team on a journey to global scale. Competitive compensation based on your performance. Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day. Work-From-Anywhere benefit to enable you to thrive personally and professionally. ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference!

About Kognitos: Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion. Our approach up-levels debugging to English, bypassing traditional programming languages that struggle to adap If you’re passionate about tackling some of the hardest problems in AI and contributing to transformational change in enterprise automation, join us at Kognitos to build the future of software. * Efficient Fine-Tuning: Develop innovative methods to optimize resource usage for training and fine-tuning models, ensuring high performance while maintaining efficiency. * Agentic Workflows: Advance workflows that allow AI to reason, plan, and execute tasks with reliability and determinism, minimizing errors and runtime surprises. * Multimodal Language Models: Work on multimodal use cases, combining text, images, and other data formats, to build adaptive, enterprise-ready automation tools. * Scalable AI for Enterprises: Address the needs of enterprises by creating AI solutions that can remove 30% of operational expenses through large-scale adoption. * Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution. * Optimize AI systems for multimodal applications, addressing real-world enterprise challenges. * Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance. * Ensure AI systems are aligned to regulatory policies and deliver consistent business value. * Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. * Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform. * Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field. * Proven experience in developing and deploying machine learning models in production environments. * Expertise in fine-tuning techniques for large-scale models and optimizing resource usage. * Strong intuition working with LLMs * Familiarity with multimodal language models and their enterprise applications. * Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. * Excellent problem-solving skills and the ability to work in a fast-paced, dynamic * Experience with agentic workflows and multi-agent systems. * Knowledge of enterprise automation challenges and opportunities. * Prior work in AI for non-consumer use cases, especially in large-scale enterprise environments. * Familiarity with cloud platforms and distributed computing frameworks. * Be part of a cutting-edge company solving some of AI’s hardest problems. * Work on impactful projects in a trillion-dollar hyper-automation market. * Collaborate with a world-class team of engineers and researchers. * Contribute to transformational changes in how enterprises operate. You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our 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 Dream We 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 It We 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 Learning We 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 Solutions We’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 Differences We 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 Team The 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 Trust and Safety team focuses on enhancing account authenticity, mitigating adversarial impact, building public trust, and enabling safer experiences for millions of users globally on Tinder. You will have an opportunity to work on a team that helps support one of our primary missions: ensuring that Tinder remains the safest place to meet new people. About The Role As a Software Engineer, Machine Learning focused on Trust & Safety, you'll play a pivotal role in shaping the future of Tinder. Our Trust & Safety ML team is responsible for developing machine learning algorithms and systems to keep Tinder members safe and authentic. The team develops cutting-edge technologies in Generative AI, Nature Language Processing (NLP), and Computer Vision (CV) to detect bad actors and content. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. Where You'll Work This is a hybrid role and requires in-office collaboration twice per week. This position is located in Palo Alto, CA \n In this role, you will: • Create the modeling efforts of Tinder’s Trust and Safety experiences., • Apply state-of-the-art machine learning techniques, including Generative AI, CV, NLP, etc., • Help research and develop novel algorithms and models, staying at the forefront of advancements in ML technologies., • Work with big data to improve the accuracy and relevance of models., • Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives. You'll need: • 1+ years of hands-on experience in machine learning, with a proven track record of delivering impactful solutions at scale, • PhD or MS in machine learning, computer science, statistics, or another highly quantitative field., • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras, ___ in Python, Java, Scala, or similar programming languages. \n$150,000 - $190,000 a yearThe salary range for this position is $150,000 - $190000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.\n Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ___ At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do: We are looking for an experienced Data Engineer to make critical contributions supporting stakeholders from around the organization. This role is vital for accelerating the design, manufacturing, and operations of our aircraft through the way data is modeled, ingested, processed, stored, and queried to our diverse users. In this role, you will be tasked with various aspects of data engineering. Your responsibilities will include but not limited to the following. • Architect and construct a comprehensive data warehouse, focusing on scalability, efficiency, reliability and solving business problems., • Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision-making processes effectively., • Develop and optimize ETL/ELT processes, data models, and data architectures for data transformation, structures, metadata, and workload management., • Develop novel applications from enterprise data to enable insights and decision making., • Implement and maintain robust data governance practices, ensuring data accuracy, compliance, and security., • Leverage big data technologies and tools for large-scale data processing and analytics., • Establish and oversee data quality monitoring and alerting systems to identify and rectify data inconsistencies and errors promptly., • Keep up to date of the latest trends in data engineering and big data technologies. What You Need: • Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field., • At least 3+ years of experience in data engineering, analytics, with demonstrated expertise in both batch and near-real-time data processing., • Proficient in data processing technologies (e.g., Hadoop, Spark, PySpark) and real-time data platforms (e.g., Apache Kafka, Flink, Spark Streaming)., • Strong understanding of SQL and programming languages (Python, Java, Scala) with a solid foundation in machine learning algorithms and other data science fundamentals., • Experience with cloud data platforms (e.g., AWS, GCP, Azure) and a deep understanding of data security and quality governance., • Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams., • Exceptional problem-solving abilities and attention to detail., • Excellent communication abilities, both in written and verbal form, are essential for effective collaboration with diverse teams. Bonus Qualifications: • Proficient with various cloud providers, e.g., AWS, and experienced in data development in cloud environments., • Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring., • Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection., • Experience with AI which may include application, training, or infrastructure. Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $134,000 - $168,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience. Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at ___. Reasonable accommodations will be determined on a case-by-case basis. Information collected and processed as part of any job applications you choose to submit is subject to Archer's ___. Archer is unable to provide work visa sponsorship for this position at the present time. Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws. Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to ___. All employment processes are managed by the Archer People Team.

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. Your Career We are seeking a Senior Principal Engineer (Tech Lead) to lead the design, and delivery of high impact projects in Gen AI space. You will play a pivotal role in advancing our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader, you will lead high-impact projects, mentor cross-functional teams, do stakeholder management and contribute to the strategic direction of our AI-driven initiatives. Your Impact • You will work in a fast paced team to create and deliver new product and mission features that many customers use on a daily basis, • You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business, • Design and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring tools, • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices., • Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains, • Role models and mentors who exemplify the best of Palo alto Networks culture. They do the right thing even when it’s hard, treat challenges as a chance to learn and provide honest opinions so the team can improve, • Leaders who can communicate cogently with hands-on engineers as well as executives Your Experience • M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required, • 15+ years industry experience in Machine Learning techniques and data analytics, • 10+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, Python, Golang, • Proven leadership skills with an ability to deliver under tight deadlines., • Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery, • Proven track record in solving difficult real world problems by applying Machine Learning techniques, • Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus, • Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate. Experience working with Google Vertex AI platform will be a plus, • Excellent communication skills with the ability to influence at all levels of the organization, • A self driven individual contributor and an excellent team player 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 $170000/YR - $277000/YR The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

Company Overview: ______ is an early-stage venture funded tech company with an innovative solution that empowers IT and security teams. We are building a data and AI driven application that assists IT and Security teams in vendor operations, performance management and strategic research. We are a team that moves fast but makes high-quality decisions. We value self-starters who can learn quickly, make mistakes but learn from them, and are accountable and hold others accountable to high standards. Job Purpose: As an AI Engineer, you will play a crucial role in developing and implementing AI capabilities that enhance our core product offering. You will be responsible for evaluating, integrating, and orchestrating foundation models to solve complex problems for IT and security teams through well-designed code and thoughtful architecture. Key Responsibilities: * Design and implement AI-powered features using modern LLMs and foundation models through APIs and open-source tools * Create robust prompting strategies and orchestration layers to ensure reliable, high-quality AI outputs * Develop and maintain retrieval-augmented generation (RAG) systems to enhance model performance with domain-specific knowledge * Build evaluation frameworks to measure model performance and ensure quality for production use * Optimize AI systems for reliability, response time, and cost efficiency * Collaborate with back-end developers to integrate AI capabilities with our core infrastructure * Research, test, and implement new AI techniques as they emerge to maintain competitive advantage * Design and implement data pipelines for training, fine-tuning, and evaluating models * Document AI systems and create internal knowledge resources for the broader engineering team * Stay updated with industry trends and emerging AI technologies Skills and Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field * Minimum of 3 years of experience in software development, with at least 1 year focused on AI applications * Proficiency in Python and relevant AI/ML frameworks such as LangChain, LlamaIndex, or similar orchestration tools * Experience with vector databases and embedding models (e.g., Pinecone, Weaviate, ChromaDB) * Familiarity with cloud-based AI services from providers such as OpenAI, Anthropic, or Google * Strong understanding of software engineering principles and best practices * Experience with production AI systems and the challenges of deploying them at scale * Knowledge of prompt engineering techniques and LLM evaluation methodologies * Strong problem-solving skills, attention to detail, and ability to think critically * Excellent communication skills and the ability to explain complex AI concepts clearly * You don't just know what the right thing is to do, you know why it's the right thing and can articulate it Reporting Structure: You will be reporting directly to the Chief Technology Officer (CTO) & Cofounder Location: This position is based in Palo Alto, CA. We believe the power of collaboration and creativity is critical for an early stage startup and is best captured in-person, hence the expectation is for in-office work 5 days a week. Employment Type: This is a full-time position offering a competitive salary, early stage startup equity, and benefits package, commensurate with your experience and skills.

At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health, and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, focusing on Kubernetes and container technologies, that will have a tremendous impact on our platform’s stability and scalability. * Maintain and configure AWS and Alibaba Cloud products and services * Investigate new Kubernetes features and provide guidance and suggestions for current systems * Maintain service access, cost optimization, etc. for each Kubernetes environment * Prepare relevant documentation for Kubernetes operation, maintenance, and specifications * Architect, deploy, and manage Kubernetes environments to ensure high availability, scalability, and security * Monitor and optimize the performance of containerized applications and Kubernetes clusters * Develop and maintain infrastructure as code (IaC) using tools like Terraform or Helm * Collaborate with development teams to ensure seamless integration and deployment of new features * Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE or related positions * Familiar with the Linux operating system, TCP/IP network protocol, and other basic computer knowledge * Relevant developer experience and familiarity with at least one scripting language (Shell/Python/Go) * Proficient in Kubernetes (k8s) administration, including deployment, scaling, and management of containerized applications * Familiar with the management, scheduling, operation, safety, and other features of Kubernetes products * Familiar with Kubernetes extensions such as Operator/CRD/CSI/CNI/CRI, and have relevant operation and maintenance or development experience * Strong engineering skills with proficiency in at least one operation and maintenance or infrastructure sub-area, public cloud networking, SRE, DevOps, or cloud-native application * Familiar with the content and processes of operation and maintenance work, drive processes, and grasp the overall concept of the system * Solid Linux platform operation and maintenance and debugging capabilities, proficient in troubleshooting, configuration tuning, and performance analysis * Experience with cloud platforms such as AWS, Google Cloud, or Azure, specifically with Kubernetes services like EKS, GKE, or AKS * Experience in monitoring, logging, and alerting solutions for Kubernetes environments * Bilingual in English and Mandarin * Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud, and other cloud providers • Competitive total compensation package, • L&D programs and Education subsidy for employees' growth and development, • Various team building programs and company events The base salary range for this position is $240,000 to $280,000. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: The Principal Machine Learning Engineer will lead the design, development, and deployment of cutting-edge ML systems at scale. In this role, you'll serve as a technical leader, collaborating with cross-functional teams to define the long-term ML strategy, mentor engineers, and build innovative solutions that drive real business impact. Job Description: Key Responsibilities • Lead end-to-end ML initiatives from research and prototyping to deployment and monitoring in production., • Collaborate with Product, Data, and Engineering teams to identify opportunities for ML-driven solutions., • Architect scalable and robust ML infrastructure and pipelines., • Evaluate and implement state-of-the-art algorithms in areas such as NLP, computer vision, recommendation systems, or time series forecasting., • Drive best practices in data preprocessing, feature engineering, model training, and experimentation., • Mentor and guide other ML engineers and data scientists., • Establish technical standards, conduct code and design reviews., • Communicate technical concepts and ML insights to stakeholders at all levels. Qualifications Required Skills & Qualifications • 8+ years of experience in Machine Learning, Data Science, or related fields., • Strong programming skills in Python and deep experience with ML libraries., • Proven track record of building and deploying ML models in production environments., • Expertise in model evaluation, A/B testing, and performance optimization., • Experience with cloud platforms (AWS, GCP, Azure) and ML Ops tools., • Deep understanding of statistical modeling, optimization, and algorithm design., • Excellent communication and leadership skills. Preferred Qualifications • PhD or Master’s degree in Computer Science, Machine Learning, or related technical field., • Experience with large-scale distributed systems and big data frameworks (e.g., Spark, Hadoop)., • Prior experience leading high-impact ML initiatives or teams. Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ___. The U.S. national annual pay range for this role is $120300 to $287100 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ___. Who We Are: ___ to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ___. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please ___. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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. Your Career Palo Alto Networks runs a large hybrid infrastructure and is one of the largest GCP customers. As a Site Reliability Engineer, you will be part of a team supporting the services running on this infrastructure. This includes automation, architecture, performance, metrics, troubleshooting, security, and reliability. Our stack includes Kubernetes, Docker, GCP, AWS, Ansible, Terraform, Vault, Gitlab, Spinnaker, Pub/sub, Bigtable, Memorystore, Bigquery, RabbitMq, Kafka, MySQL, Python, and Go. We don’t expect you to know all these, but we do expect you to learn the ones needed for this role. Your Impact • Contribute to the success of SRE and DevOps, • Develop expertise in new technologies, • Work with developers, researchers, data scientists, and security experts, • Design, build, and operate reliable, secure Cloud infrastructure, • Ensure that applications are production-ready, scalable, and reliable, • Develop tools and automation frameworks, • Automate robust deployment of robust services, • Orchestrate end-to-end monitoring and alerting, • Participate with SRE and Dev teams in the on-call rotation, • Lead root cause analysis of critical business and production issues, • Mentor and champion SRE culture, • Participate in design reviews Your Experience • BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience, • Expertise in configuration management with a framework such as Ansible, Terraform, Helm, Kubernetes, • Proficient in Python and/or Go, • Expertise in managing applications in the Kubenetes cluster with autoscaling enabled, • Experience in Production Engineering, DevOps, or Site Reliability, • Expertise in the public cloud (GCP or AWS), especially in GCP, • Strong Linux administration, internals, and network troubleshooting, • Proficiency with programming languages like Python, Golang, and shell scripting to automate tasks, • Experience with CI/CD pipelines, GitLab, and GitHub preferred, • Ability to diagnose and troubleshoot complex distributed systems handling high-volume transactions, • Excellent written and verbal communication, able to collaborate and rally support, • Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive, • Passion for infrastructure and monitoring as code, • Ready to understand and dissect new technology stacks quickly 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 how 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 $160,000 - $225,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. The Senior Data Engineer in the Data Science and Engineering team will play a key role in fostering a data-driven culture within the organization. This will be achieved by designing, implementing, and maintaining robust data pipelines and architectures that enable efficient and reliable collection, processing, and storage of data from diverse sources. The Senior Data Engineer will guide and empower stakeholders across the organization to create and leverage high-quality, curated datasets and information, thereby facilitating data-driven decision-making and innovation. The ideal candidate will demonstrate proficiency in clarifying ambiguous information, establishing structured data models from unstructured data, and building end-to-end data processing automations running on a modern and scalable hybrid-cloud data infrastructure. Additionally, the candidate should have extensive experience writing Python data processing code, Airflow DAGs, and working with SQL and no-SQL databases. They should view self-serve data analytics and ML applications that leverage the curated datasets they produce as their customers. The ideal candidate highly values and is familiar with IaC, CI, monitoring, and documentation to achieve the highest levels of automation, quality, and functionality. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Responsibilities: • Develop and implement scalable end-to-end data pipelines using modern data processing and orchestration techniques, for both batch and streaming data., • Lead collaboration with data producers and data consumers to identify clear product requirements and structure an effective implementation of solutions, guiding the overhaul of pre-existing methods, when necessary., • Identify, evolve, and champion data/software engineering best practices and AI automations, as they best fit a small and agile team., • Automate infrastructure as code using Terraform., • Collaborate cross-functionally to define priorities, identify new projects, and establish effective partnerships to contribute to our data engineering roadmap.., • Help envision and build the future of our data platform and data pipelines. You will have a remarkable impact on the overall tech stack we use to process the rich data available at Tenstorrent. Experience & Qualifications: • Advanced OOP Python programming skills, particularly in data processing., • Experience with the SQLAlchemy ORM., • SQL database and schema design, management, and optimization expertise., • Hands-on experience with AWS services including S3, EC2, IAM, SFTP, Cloudwatch, and Lambda., • Familiarity with IaC technologies, such as Terraform., • Experience with time-series (TimescaleDB) and NoSQL databases (Elasticsearch)., • Experience deploying and working with data analytics, dashboarding and visualization tools, such as Apache Superset, Grafana, Kibana., • Experience building RESTful APIs., • Proficiency in containerization technologies (Docker, Kubernetes)., • Experience with Agile development methodologies and tools, including Jira and Git, and familiarity with industry-standard software development lifecycle processes., • Comfortable working independently and self-motivated to learn and excel in a fast-paced, innovative environment. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government. Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process. If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

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. Your Career Palo Alto Networks runs a large hybrid infrastructure and is one of the largest GCP customers. As a Site Reliability Engineer, you will be part of a team supporting the services running on this infrastructure. This includes automation, architecture, performance, metrics, troubleshooting, security, and reliability. Our stack includes Kubernetes, Docker, GCP, AWS, Ansible, Terraform, Vault, Gitlab, Spinnaker, Pub/sub, Bigtable, Memorystore, Bigquery, RabbitMq, Kafka, MySQL, Python, and Go. We don’t expect you to know all these, but we do expect you to learn the ones needed for this role. Your Impact • Contribute to the success of SRE and DevOps, • Develop expertise in new technologies, • Work with developers, researchers, data scientists, and security experts, • Design, build, and operate reliable, secure Cloud infrastructure, • Ensure that applications are production-ready, scalable, and reliable, • Develop tools and automation frameworks, • Automate robust deployment of robust services, • Orchestrate end-to-end monitoring and alerting, • Participate with SRE and Dev teams in the on-call rotation, • Lead root cause analysis of critical business and production issues, • Mentor and champion SRE culture, • Participate in design reviews Your Experience • BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience, • Expertise in configuration management with a framework such as Ansible, Terraform, Helm, Kubernetes, • Proficient in Python and/or Go, • Expertise in managing applications in the Kubenetes cluster with autoscaling enabled, • Experience in Production Engineering, DevOps, or Site Reliability, • Expertise in the public cloud (GCP or AWS), especially in GCP, • Strong Linux administration, internals, and network troubleshooting, • Proficiency with programming languages like Python, Golang, and shell scripting to automate tasks, • Experience with CI/CD pipelines, GitLab, and GitHub preferred, • Ability to diagnose and troubleshoot complex distributed systems handling high-volume transactions, • Excellent written and verbal communication, able to collaborate and rally support, • Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive, • Passion for infrastructure and monitoring as code, • Ready to understand and dissect new technology stacks quickly 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 how 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 $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

MACHINE LEARNING ENGINEER (Contextual) Background: AnchorFree is a fast growing technology company in Silicon Valley that makes a significant impact on people’s lives around the globe by enabling free access to all information and content online and enabling millions of users to browse the web securely and privately. In regions that censor the web, millions of users utilize AnchorFree to get uncensored access to the Internet. Travelers, Expats, and security conscious consumers use AnchorFree to securely surf the web in more than 100 countries. Funded by blue chip investors, AnchorFree is growing more than 200% per year, democratizing the Internet and putting users in control of their identity and data online. The service is free for users and is ad supported, with an option to upgrade to a paid ad-free version. More than 2 billion page views per month are viewed through AnchorFree’s service by more than 9 million monthly users. AnchorFree’s Hotspot Shield has been downloaded more than 25 million times. Position: Are you interested in developing algorithms that increase relevancy of the content offered to the free users while respecting their privacy and anonymity? Would you like to impact millions of users world-wide? If you're an engineer who is passionate about data, quality, results, and innovation; if you have experience applying information retrieval, natural language processing, or machine learning techniques to solve practical business problems; if you are a creative problem-solver; if you build prototypes for breakfast, then we want to hear from you! Job Responsibilities: • Develop and optimize new ways to present additional content to VPN users while they are browsing the Web, • Develop and optimize real-time content analysis tools to increase relevancy of offered content, • Apply state of the art machine learning algorithms to improve user experience and business results, • Use front-end and back-end technologies such as advanced Javascript, NGinx, high-performance databases to rapidly prototype and deploy your solutions. Job Qualifications: • Practical knowledge and understanding of the state of the art data-mining and machine-learning techniques., • Solid experience with advanced Javascript (experience limited to jquery is not enough), HTML, CSS., • Extensive experience programming on Unix Platforms., • Good knowledge of the LAMP stack, • Experience with cross-platform, cross-browser development, • Experience working in startups and small team environments, • A track record of delivering quality bug-free code on schedule, • Excellent communication skills - both written and spoken, • Masters degree in computer science (machine learning) with 3+ years of relevant industry experience Preferable Job Qualifications: • Industry experience, especially in a consumer internet or online advertising related setting., • Experience with natural language processing, contextual analysis, keyword extraction, summarization, • Experience with OSS learning packages like Mahout, scipy, weka, etc., • Knowledge of Perl, Python or other scripting languages, • Experience with searching and indexing Compensation and Benefits: • Very competitive salary, • Excellent employee stock option plan, • Relocation assistance available, • Free food and drinks, • Foosball, Small gym and showers, Pool table, Table Tennis, • FREE Medical, Dental and Vision, • 401k, • Easy Access to Caltrain and Light Rail (free pass), • Employee discounts on HP, Apple and Verizon

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role: We are seeking a senior data scientist who can generate valuable insights from data through deep-dive analyses, who is experienced at supporting new product launches with robust experimentation plans, and who can guide and mentor other data scientists on the team. Meet our team: The Consumer Financial Services Analytics team plays a critical role in improving the PayPal product for customers by using the scientific method to generate insights and drive data-driven decisions. We provide product data science support for Financial Services products such as the PayPal Debit Card, PayPal Savings, PayPal Balance, as well as the various funds-in and funds-out methods associated with those. Job Description: Your way to impact: * You believe in data-driven decisions and use data to answer business questions * You are hyper-analytical, intellectually honest, and passionate about data and A/B experimentation * You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance * You are curious and inquisitive: you love digging into data and uncovering insights * You are motivated by improving the experience customers have with the products you work on Your day to day: * Help to launch, measure, and scale new solutions to improve customers’ experiences with the PayPal App and website * Identify new opportunities through deep dive analyses leveraging our rich datasets of behavioral and transactional user data * Translate ambiguous, unstructured business problems into actionable and data-driven analyses * Size potential impact of new ideas to help prioritize product roadmaps * Bring clarity to the performance of our key metrics and flows through well-designed dashboards and reports * Partner closely with product leaders to understand new product offerings being built and recommend the right metrics to measure the performance of those features * Define and cultivate best practices in analytics instrumentation and experimentation * Support multiple projects at the same time in a fast-paced, results-oriented environment * Mentor other data scientists in both technical and non-technical areas What do you need to bring: * Bachelors in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees preferred * At least 5 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions * Proven track record driving product strategy through analyses and data-centric presentations * Strong understanding of statistics (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments * Fluent in SQL and experience with at least one scripting language (Python or R), comfortable with working with large, complex, and potentially messy datasets * Strong interpersonal and project management skills, ability to lead cross-functionally * Proven ability to mentor junior data scientists * Experience developing new visualizations in tools such as Tableau * Prior work experience in Product Data Science (or adjacent space) preferred Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 PayPal is committed to fair and equitable compensation practices. Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit ___. The US national annual pay range for this role is $143,500 to $212,850 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit ___. Who We Are: ___ to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at ___. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please ___. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™. Learn more on ___ and ___ about their experiences working at ServiceNow. Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates. What you get in this role: You will be working with the Applied AI Science & Quality Assurance engineering team. We help build out our Machine learning models and AI functions. Design and review test automation frameworks for machine learning models • Work with ML engineers to make sure that functional & non-functional requirements are addressed, • Establish and improve metrics collection and reporting, • Establish test effectiveness and efficiencies throughout the team, • Incorporate research of industry trends and apply best practices in quality engineering practices used in, • evolving machine learning techniques, • Work in a team oriented environment and work with technical and non-technical team members equally, • well, • Create test plans, test cases and other testing artifacts, • Maintain existing automation test frameworks, • Collect and report quality metrics from test execution, • Work with developers to design specific testing strategies for features being developed and automate them, • Create comprehensive test plans; execute and automate them, • Enable engineering organizations in troubleshooting or addressing issues with applications and dev/test environments To be successful in this role you have: • Bachelors or Masters in Computer Science or related subjects with 5 to 8 years of work experience, • Strong test automation skills in Java / Python, • Hands-on experience testing large-scale, production systems in Python or Java, • Excellent communication, collaboration, reporting, analytical and problem-solving skills, • Ability to take a project from scoping the requirements and building the test cases, • Familiarity with AI/ML modeling approaches such as supervised and unsupervised techniques, • Familiarity with testing AI/ML models and evaluation of the model quality, • Ability to analyze results from the test set and create defects based on result patterns, • 5 to 8 years Experience in quality assurance and/or application development, • Knowledge of machine learning techniques, data structures, algorithms, statistics, • Expertise in developing automation pipelines & frameworks for verification of machine learning models, • Experience in collecting and maintaining data according to test plans / cases., • Experience setting up automated test systems using continuous build environments (e.g. Jenkins) and ML, • Content management systems to build full stack testing workflows, • Experience in designing scalable and maintainable automated testing solutions for large-scale ML systems ServiceNow is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law. At ServiceNow, we lead with flexibility and trust in our distributed world of work. ___ to learn about our work personas: flexible, remote and required-in-office. If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at ___ for assistance. For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government. Please Note: Fraudulent job postings/job scams are increasingly common. ___ to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ___. From Fortune. © 2022 Fortune Media IP Limited All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, ServiceNow.

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. We've successfully deployed self-driving cars; now the focus is scaling. This means larger models trained on more data for better generalization. But it's not just about size; we need to automate more and optimize resources. In this role, you'll shape our tech roadmap by aligning product needs with technology development, balancing current solutions with future innovations. You'll build active learning and ML-aided labeling workflows to tackle rare, "longtail" issues—critical when driving millions of miles daily. As models evolve, so do interfaces and data demands. You'll be key in aligning product vision with these new technology designs. You'll partner closely with Product and Engineering teams, especially those focused on data and automation. Your responsibilities include supporting freeway expansion, streamlining evaluations, conducting deep dives, improving communication with partners, redefining interfaces for dense perception tasks, and boosting labeling efficiency. You'll also drive our data flywheel and autonomous learning initiatives. We're at the start of an exponential scaling curve, with each new magnitude bringing unique challenges and continuous tech evolution. This role offers significant growth opportunities, including mentoring to foster internal advancement. You will: * Collaborate with Perception leads to align short- and long-term product needs with technology investments. * Deeply understand technology capabilities and roadmaps to ensure alignment with product requirements and guide product roadmap development. * Partner with Perception leads to define problems, design interfaces, and establish metrics and evaluation methodologies. * Work with Perception and Engineering teams to develop active learning loops and model-aided human labeling workflows, optimizing efficiency and value. * Drive the automation of Perception model evaluation, verification, and production monitoring with Engineering partners. * Accelerate collaboration with Product and Engineering teams to solve complex product problems leveraging deep technical knowledge. You have: * Master's degree or PhD in Computer Science, Engineering, or a related technical field. * 6+ years of experience developing and deploying ML-driven CV/Perception systems, and 3+ years of experience working on Perception systems for ADVs. * 3+ years of experience in a technical leadership role, collaborating with product teams and setting technical directions in large ML Engineering organizations. * 3+ years of experience developing and taking ML systems to production, and monitoring and maintaining them in production. * Proficiency in C++, Python, and modern deep learning toolkits like PyTorch or JAX. * Strong communication skills, a passion to make a business impact, and a drive for engineering excellence. We prefer: * Experience developing ML-aided human labeling workflows. * Experience developing and productizing large-scale vision, video, or multi-modal foundation models. * Familiarity with end-to-end models and their development challenges. * Agility in a fast-paced environment. In this hybrid role, you will report to the Engineering Director in Perception The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range$281,000—$356,000 USD

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. Your Career We are seeking a Senior Principal DevOps/FinOps Engineer to lead cloud cost efficiency, governance, and optimization initiatives across GCP, AWS, and Azure. This role requires a highly experienced, operations-focused engineer with a strong background in DevOps, Site Reliability Engineering (SRE), and FinOps. As a strategic leader, you will define and implement structured cloud cost governance processes, automate cost controls, and collaborate with Engineering, Finance, and Operations teams to optimize cloud spend. You will also be responsible for analyzing cloud financial data, providing cost modeling for budgeting and profitability analysis, and delivering insights to upper management. Your Impact * Cloud Cost Optimization: Continuously monitor cloud usage (GCP, AWS, Azure) to identify cost-saving opportunities, enforce governance policies, and drive financial accountability. * Strategic Cost Management: Develop and implement automated cloud cost optimization strategies, including rightsizing recommendations, commitment-based purchasing (Reserved Instances, Savings Plans, CUDs), and waste elimination. * Operational Excellence: Establish structured FinOps processes for cloud cost governance, budgeting, forecasting, and cost allocation, ensuring adherence to financial targets. * Reporting & Insights for Upper Management: Provide data-driven insights and financial reports on cloud expenditures to support business decision-making. Develop dashboards, reports, and financial models to track cost trends and efficiency. * Cost Modeling & Profitability Analysis: Build financial models to analyze cloud spend in relation to revenue and profit margins. Assist finance teams in developing budget forecasts and cost projections for cloud infrastructure. * Cross-Functional Collaboration: Partner with Finance, Operations, and Engineering teams to define and implement cost control policies, pricing model adjustments, and accountability frameworks. * Cloud Resource Governance: Enforce tagging policies, cost allocation models, and budget alerts to improve transparency and cost attribution. * Automation & Reporting: Develop automation tools (Python, Go) for cost visibility, anomaly detection, and forecasting. Build real-time dashboards using AWS/GCP cost APIs, Tableau, and ElasticSearch. * FinOps Compliance & Standardization: Ensure adherence to industry-leading FinOps frameworks, aligning cloud expenditures with business objectives. Your Experience * 10+ years of hands-on experience in GCP & AWS as a DevOps Engineer, SRE, or Cloud Engineer, with a strong focus on FinOps and cloud cost management. * 5+ years of specialization in Cloud Resource Optimization, FinOps automation, and cloud financial governance. * Strong programming skills in Python or Go for automation, cost analysis, and custom FinOps tooling. * Experience with GCP & AWS cost APIs, billing dashboards, and data aggregation using ElasticSearch. * Deep expertise in Terraform (IaC), cloud tagging strategies, and cost allocation models. * Proven experience in cost modeling for budgeting, financial forecasting, and profitability analysis. * Strong background in building financial reports and dashboards using Tableau, AWS Cost Explorer, and GCP Cost Management tools. * Demonstrated success in collaborating with finance teams and leadership to drive strategic cost-saving initiatives and ensure financial efficiency. The Team 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 $173,000 - $260,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 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.

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. NOTE: Due to government environments this team supports, the role requires a US Citizen or Permanent Resident. Your Career The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability. This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines. Your Impact • Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance, • Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices, • CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery, • Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security, • Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues, • Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment, • Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency, • On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidents Your Experience • 4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, • Strong cloud expertise in Google Cloud Platform (preferred) or AWS, • Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools, • Proficiency in scripting/programming with Python, Go, or Bash, • Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar, • CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD, • Linux Administration – Strong knowledge of Linux systems and shell scripting, • Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices, • Experience troubleshooting production issues in high-scale environments, • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment The Team Our DevOps team is at the core of Cortex’s cloud infrastructure, enabling our engineering teams to build and deploy software at scale. We thrive on automation, efficiency, and reliability, always pushing the boundaries of DevOps excellence. If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you. 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 $126000/YR - $203500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. 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.