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Job DescriptionAbout SiTime SiTime Corporation (Nasdaq: SITM), a market leader in timing, offers MEMS-based silicon timing system solutions. SiTime’s configurable solutions offer a rich feature set that enables customers to differentiate their products with high performance, small size, low power, and high reliability. With over 3 billion devices shipped to date, SiTime is changing the timing industry. Job Summary Join the team that is revolutionizing the timing industry with the best silicon Microelectromechanical Systems (MEMS) timing products in the world. As a Sr. MEMS process integration Engineer, you will use your technical and creative problem solving skills to design, characterize, and improve MEMS devices and develop and build SiTime’s next-generation of MEMS products. It is not necessary to meet all job requirements to be a qualified candidate for the position. Responsibilities • Design and validate process flow based on MEMS design requirements and product requirements., • MEMS process development and integration to fab/foundry., • Drive continuous improvement in MEMS process and yield with MEMS Foundry., • Work with MEMS Foundry to Design and Execute experiments, analyze data, and present results with process change recommendations., • Design, run, and analyze experiments to understand device physics, materials in addition to fabrication., • Interface with local and overseas vendors., • Work in cross-functional teams, including Circuits, Systems, and Packaging., • MS in Electrical Engineering, Physics or equivalent, Mechanical Engineering or Material Science. PhD preferred. Exceptional candidates with other technical backgrounds will be considered., • Skilled scientist with ability to design, conduct, and analyze experiments., • Strong hands-on experience on MEMS/semiconductor fabrication., • Experience running laboratory experiments e.g. RF measurement is a plus., • Experience with Statistical analysis and DOE software, such as JMP or Spotfire., • Experience with Statistical Process Control (SPC), yield improvement., • A minimum of 5 years experience in semiconductor manufacturing., • Excellent critical thinking and strong organizational skills., • Clear and concise scientific communication., • A positive attitude and motivated to learn new skills., • Strong written and verbal communication skills required., • Ability to work well with others in a collaborative fast-paced team environment. At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent. The annual base salary range for this role is $95,450.00 – $153,550.00. The final offer is determined by factors such as location, experience, education, and training. In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company’s future growth and success. Benefits offered: 401k plan, health and wellness that includes medical, dental, vision, life, parental leave, legal services, and time off plans. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program. Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube #LI-SITIME

Job DescriptionCompany Description Eurofins Scientific is a global leader in analytical testing, operating over 950 labs in 60 countries with 65,000 employees. EAG Laboratories, part of Eurofins, offers advanced services in analytical chemistry, microscopy, surface analysis, and engineering sciences—including failure analysis, product reliability, and ATE testing. We support clients across the product lifecycle, from R&D to manufacturing. Serving diverse industries, EAG delivers expert insights and tailored solutions. Our engineers and scientists collaborate with clients to solve complex challenges and deliver actionable results. We foster a growth mindset, empowering individuals to drive success while meeting evolving technological and business needs. Job Description EAG Laboratories is seeking a skilled Scientist to support our analytical services including Electron Microscopy and Atom Probe. We work with leading-edge technology companies across a wide range of industries, helping to design and manufacture the electronics of tomorrow. The ideal candidate will thrive in a collaborative, research-driven environment focused on precision and innovation. This is an exciting opportunity for a talented Scientist to join our Milpitas (Nanolab) team and contribute to high-impact analytical services. You’ll play a key role in customer interaction, specimen preparation, data collection, and analysis to support our clients. A typical day will consist of multiple activities, including: * Collaborate with team members to deliver high-quality analysis to clients. * Prepare TEM (Transmission Electron Microscopy) and APT (Atom Probe Tomography) specimens using FIB (Focused Ion Beam). * Operate CAMECA LEAP for data acquisition and data analysis using AP Suite6 software. * Perform routine maintenance to ensure optimal equipment performance. * Coordinate with equipment vendors to minimize downtime. * Conduct data processing and reporting. * Document and report analytical findings clearly and accurately. * Work cross-functionally with internal teams on integrated microscopy projects. This position works with companies that deal with defense-related activities and is subject to ITAR (International Traffic in Arms Regulations). All considered applicants must be U.S. Persons as defined by ITAR: • U.S. Citizen, • U.S. Permanent Resident (i.e. “Green Card Holder”) Monday to Friday, *5:00 PM – 2:00 AM *(+10% shift differential will apply) Qualifications * MS or PhD degree in Materials Science and Engineering or a related field. * MUST HAVE minimum 2 years of experience on specimen preparation using APT, FIB and TEM. * Skilled in handling delicate, chip-sized samples with precision tools. * Strong communication skills and ability to work effectively in a team. * Comfortable working in a fast-paced, dynamic environment. * Excellent problem-solving and interpersonal skills. Preferred Qualifications: * Skilled with APT data analysis using customized coding programs. * Experience with CAMECA LEAP instrument. * Familiarity with automated specimen fabrication using FIB/SEM systems. * Experience and knowledge with semiconductor technologies and processes. Physical Requirements: • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours)., • The person in this position needs to occasionally move about inside the office or laboratory to access file cabinets, machinery, equipment etc., • Physical dexterity sufficient to use hands, arms, and shoulders repetitively to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead., • Must be able to remain in a stationary position 90% of the time., • Ability to speak and hear well enough to communicate clearly and understandably with sufficient volume to ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting. We will consider reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you. Employees are expected to comply with ISO 27001 standard and company requirements for Information security. Additional Information Compensation is aligned with market standards for the region and tailored to individual qualifications and experience. What It’s Like to Work Here: • Teamwork: Be inspired by your leaders, be encouraged by your teammates and be supported in all parts of your journey working with us., • Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life. Develop within the company; be mentored and grown as a leader. ✓ 401k Company Matching ✓ Wellness Program ✓ Volunteer Time off ✓ Education Assistance ✓ Fitness Reimbursement ✓ …and more! If you enjoy being immersed in technology, tackling problems head-on, finding solutions through teamwork, and taking pride in accomplishments, join us today! Eurofins EAG Laboratories is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the Company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The Company’s policy is to recruit, hire, train, promote and administer all employment-related matters based on an individual's qualifications, abilities and efforts without regard to protected status. #EAGlaboratories Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.

Job DescriptionCompany Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description We’re looking for a customer-obsessed data scientist to join our data team. You will be responsible for applying advanced statistical and machine learning techniques to solve complex business problems, translating data into actionable insights, and driving data-informed decisions across the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Develop and implement models: design, build, test, and deploy machine learning models to solve business challenges * Exploratory data analysis: conduct in-depth statistical analysis and visualizations to discover patterns, trends, and hidden insights in the data * Collaborate with Data Architects to develop robust data pipelines and create impactful features for model improvement * Communicate complex results, methodologies, and recommendations to both technical and non-technical stakeholders through presentations and data visualizations * Work closely with cross-functional stakeholders to translate business needs into technical requirements and deploy models into production systems * Drive innovation: stay up to date with the latest advancements in machine learning, deep learning, and statistical modeling, and propose new technologies or methods where appropriate. Qualifications REQUIRED: * 4+ years of experience in data analytics, data science, or related field * Master’s degree in quantitative fields (Computer Science, Statistics, Mathematics, Engineering, or equivalent). SKILLS: * Technical skills: Strong proficiency in SQL; expertise in Python and/or R; Solid understanding of core machine learning principles, algorithms, and model validation techniques; experience with data visualization tools like Tableau, Power BI * Statistical analysis: deep knowledge of statistical hypothesis testing, experimental design, and multivariate analysis * Communication: Excellent written and verbal communication skills with ability to convey technical findings to non-technical audience Additional Information Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 03/10/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-RG1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Job Description Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company—we’re a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We’re looking for an exceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You’ll Do: • Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments., • Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value., • Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning., • Partner with engineering teams to architect scalable data pipelines and ML infrastructure., • Establish best practices for experimentation, model training, model evaluation, and monitoring., • Stay current with the latest advancements in data science, machine learning, and artificial intelligence., • Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges., • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field., • 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery., • Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning, • Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit-learn), • Proficiency in SQL and experience working with large-scale datasets and distributed computing frameworks (Spark, Dask), • Demonstrated experience deploying models to production and monitoring model performance, • Demonstrated cross-functional experience with diverse teams across the organization, • Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences, • Strong business acumen and ability to connect data science work to organizational objectives, • Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices, • Track record of publishing research or contributing to open-source projects, • Experience with A/B testing and causal inference methodologies, • Knowledge of data engineering principles and ETL processes Join Tarana and help shape the future of wireless connectivity. About Us Tarana’s mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next-generation fixed wireless access (ngFWA) technologies. Its unique ngFWA platform delivers game-changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana’s ngFWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at . Powered by JazzHR n6LRsnB45u

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

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this ground-breaking shift in mobility, we’ve built an extraordinary team in Automated Driving, Energy & Materials, Human-Centered AI, Human-Interactive Driving, and Robotics. The MissionWe are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks. To do this, we're building general-purpose machine learning foundation models for dexterous robot manipulation. These models, which we call Large Behavior Models (LBMs), use generative AI techniques to produce robot action from sensor data and human request. To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. We are also utilizing high-quality simulation to augment real-world robot data with procedurally generated synthetic demonstrations. The TeamThe Robotics Machine Learning Team’s charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in unstructured environments such as homes or factories. The JobWe have several research thrusts under our broad mission, and we are looking for a research scientist in any of these areas: -Data-efficient and general algorithms for learning robust policies using multiple sensing modalities: proprioception, images, 3D representations, force, and dense tactile sensing.-Scaling learning approaches to large-scale models trained on diverse sources of data, including web-scale text, images, and video.-Leveraging test time computation for embodied applications.-Quick and efficient improvement of learned policies.-Continual Learning and Adaption-Multi-Modal Reasoning Models.-Structured hierarchical reasoning using learned models.-Reinforcement Learning with Language Action Models -Leveraging history and memory for learning policies for long context tasks.-Improving robustness and few-shot generalization by using sub-optimal and self-play data. -Interactive agents that can reduce the embodied and instructional ambiguity and can seek help and clarification. The researcher who joins will be encouraged to collaborate in our code infrastructure, work together with team members, run experiments with both simulated and real (physical) robots, and participate in publishing work to peer-reviewed venues and open-sourcing code. We’re looking for a research scientist who is comfortable working with both existing large static datasets as well as a growing dynamic corpus of robot data. Qualifications • Hands-on experience with using machine learning for learned control, including RL, offline RL or behavior cloning, for manipulation. Or experience with machine learning and familiarity with large multi-modal datasets and models., • Strong software development skills in Python., • A “make it happen” demeanour and comfort with fast prototyping., • A passion for robotics and doing research grounded in important fundamental problems., • A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …)Bonus Qualifications, • Hardware experience., • A track record of relevant open-source software contributions

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.Key Responsibilities • Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration., • Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility., • Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases., • Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines., • Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes., • Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS)., • Contribute to design/code reviews and foster engineering best practices in a high-performance research environment., • Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems., • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.Minimum Professional Experience, • Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams.Preferred Professional Experience, • Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines., • Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing)., • Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP)., • Familiarity with performance constraints in production environments and the trade-offs in model and data design.

Job DescriptionHORIZON ROBOTICS: Make human life safer and better About Horizon Robotics Horizon Robotics (HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale. The Silicon Valley Applied Research Lab is a research team located in Silicon Valley, dedicated to developing advanced algorithms and models for Advanced Driver Assistance Systems (ADAS), Autonomous Driving (AD) , and other generic robotics systems. If you are looking for a role to explore, develop and innovate machine learning algorithms for AD and robotics technologies, you are welcome to join us. Your Daily Practice As an applied research scientist, you will take part in: - Devising novel deep-learning based algorithms and converting them to prototypes of autonomous driving solutions, including but not limited to training foundation models, post-training with reinforcement learning, and world models.- Practicing end-to-end machine learning skills, including data pipelining, model construction and fine-tuning, and comprehensive performance testing. - Following closely with academia, identifying the latest trends and extending them to real industrial development.- Publishing research papers in top notch conferences in machine learning domain.- Showcasing the work via presentation in internal and external talks, conferences, and workshops. What You Must Have - PhD / MS degree in computer vision, machine learning or a related field with multiple research publications in top conferences or journals; alternatively equivalent years of industry experience solving CV problems which do not have readily available solutions.- Expertise in at least one of these specific areas: deep learning-based perception, prediction and planning, vision-language models, and reinforcement learning.- Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and publication or productization.- Strong programming skills in Python and/or C++.- Extensive experience with ML frameworks such as PyTorch and Jax.- Strong verbal and written communication skills. Bonus points!

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values. Our Bosch Research team occupies a critical position between academic research and product development, distinguishing us from many other companies. We engage with academia, incubate ideas, advance them to the prototype stage, and collaborate with development teams in our business units to support product development based on our research outcomes. We are seeking a highly qualified Research Scientist specializing in Mixed Signal Design to join our team in Sunnyvale, United States. In this role, you will be at the forefront of advancing mixed-signal integrated circuit technology, contributing to cutting-edge research and development projects. • Spearhead research initiatives in mixed-signal integrated circuit design, advancing the state-of-the-art in current technology, • Develop innovative circuit architectures and design techniques for next-generation mixed-signal systems, • Conduct rigorous simulations and analysis to optimize circuit performance and power efficiency, • Collaborate with cross-functional teams to integrate mixed-signal designs into complex system-on-chip (SoC) solutions, • Author technical papers and present research findings at prestigious conferences and industry events, • Provide mentorship to junior researchers and contribute significantly to the expansion of the team's expertise in mixed-signal design, • Maintain a comprehensive understanding of emerging trends and technologies in the field of mixed-signal IC design, • Actively participate in the patent process to protect intellectual property and innovative designsQualifications, • Ph.D. in Electrical Engineering or related field with minimum 5 years of experience in mixed-signal design, including successful research projects and publications, • Advanced knowledge of analog and digital circuit design principles, with expertise in mixed-signal IC design (data converters, PLLs, high-speed interfaces), • Proficiency in industry-standard simulation and design tools (e.g., Cadence, Synopsys) and programming languages (e.g., Python, MATLAB), • In-depth understanding of semiconductor physics and fabrication processes, • Strong analytical and problem-solving skills with a detail-oriented approach, • Excellent communication and collaboration abilities to work effectively in a research team environment, • Demonstrated ability to innovate and think creatively to solve complex technical challenges Additional Information The U.S. base salary range for this full-time position is $150,000 - $185,000. Within the range, 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 Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plans with an employer match; wellness programs; life insurance; short- and long-term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

Job DescriptionReady to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We’re looking for a pragmatic, hands on Senior Materials Scientist to own polymer selection, testing, and lifetime prediction for spacecraft and space adjacent products. You will design custom experiments and equipment (e.g., UVinvacuum and cryogenic test rigs), write test procedures, execute and analyze results, and translate findings into clear design and qualification guidance aligned with NASA expectations. What you'll be doing: • Own polymer characterization for space environments: UV susceptibility (including VUV), vacuum/thermal behavior, atomicoxygen and radiation awareness, contamination/outgassing, and endoflife performance., • Design test strategies & procedures: create endtoend test plans, DOEs, acceptance criteria, and data packages for materials, adhesives, coatings, films, potting/encapsulants, and composites., • Build and operate custom rigs: conceive, specify, and bring up test equipment such as UVinvacuum exposure chambers, thermal vacuum cycling fixtures, LN₂based cryogenic setups, and environmental monitoring (e.g., radiometry, RGA, QCM)., • Model lifetime & degradation: develop physicsoffailure and empirical models (e.g., Arrhenius/WLF/timetemperature superposition, UV doseresponse, Weibull/statistical life) to predict performance over mission profiles (LEO/GEO/deep space)., • Execute and analyze: run tests, reduce data, quantify uncertainties, and deliver concise engineering recommendations and redlines to design/manufacturing., • Author documentation: write procedures, lab work instructions, and formal test reports suitable for internal design reviews and customer/agency audits., • Crossfunctional support: advise design, thermal, optical, contamination control, and manufacturing teams on material selection and qualification plans., • Own compliance & safety: uphold lab safety for vacuum, UV, cryogens, and high voltage; ensure calibration/traceability and good measurement practice., • Vendor & lab interfacing: qualify suppliers, specify external test campaigns (e.g., AO or radiation exposure), and review external lab reports., • Core Methods & Tools You’ll Use, • Thermal/Mechanical: DSC, TGA, DMA, TMA; thermalvacuum cycling; CTE and Tg determination; mechanical testing (e.g., tensile, peel, shear per common ASTM methods)., • Optical/UV: UVVis, FTIR for oxidation/yellowing, radiometry; UV sources (deuterium/xenon/UVLED), VUV exposure where applicable., • Vacuum/Contamination: outgassing and condensables (e.g., ASTM E595), QCMbased assessments (e.g., ASTM E1559), residual gas analysis (RGA)., • Surface/Chemistry: SEM/EDS, XPS, GCMS for volatiles, GPC/SEC for molecularweight changes., • Data & Modeling: Python/Matlab/JMP for DOE, regression, uncertainty, and lifetime modeling; clear visualization and reporting., • Familiarity with Space/NASA Guidance (examples), • NASA materials & processes expectations for spacecraft (e.g., M&P requirements/handbooks),, • GSFC environmental verification perspectives (e.g., thermalvacuum/TVAC per GEVS concepts),, • NASA contamination/outgassing acceptance practices (e.g., ASTM E595), and supplier documentation/waivers typical in flight programs. What you will bring to this role:, • 5–10 years applied experience in polymer/materials characterization with a strong handson laboratory bias., • Demonstrated ability to design from scratch: custom fixtures, chambers, exposure setups (vacuum + UV, LN₂/cryogenic), and to write robust procedures., • Depth in polymer degradation mechanisms (photooxidation, chain scission/crosslinking, volatilization/outgassing, thermal aging) and how they map to space conditions., • Proven skill in lifetime prediction and DOE/statistics, including building models that drive design decisions., • Excellent technical writing: clear test plans, procedures, and reports suitable for design reviews and audits., • Strong safety mindset around vacuum systems, UV sources, and cryogens., • BS/MS/PhD in Materials Science, Polymer Science, Chemical Engineering, or related discipline (or equivalent practical experience). Nice to have:, • Experience with atomic oxygen or radiation exposure testing (coordinating with external facilities is fine)., • Knowledge of contamination control for optics/thermal systems (e.g., lowoutgassing selections, bakeouts, cleanliness levels)., • Exposure to spacecraft development lifecycles, qualification/acceptance test flows, and supplier/material waivers., • Experience with adhesives for space (e.g., structural, optical, thermal interface) and film/blanket materials (e.g., polyimides, fluoropolymers)., • CAD/FEA familiarity for fixture/chamber design; shop interfaces for fabrication. • An opportunity to really make a difference• Sustainability at our core• Fair and honest workplace• Innovative thinking is encouraged• Competitive salaries• Continuous learning and development• Health and wellness care options• Financial solutions for the future • Optional legal services (US only)• Paid holidays• Paid time off

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. The TeamThe Harmonious Communities team at Toyota Research Institute (TRI) is building an AI-driven Toyota People System—a scientific and ethical foundation for understanding and improving the social dynamics that shape collective wellbeing and performance. We combine social and behavioral science, complex systems theory, AI / machine learning, and Human-Computer Interaction to uncover how culture, trust, and organizational structures influence human flourishing. Our goal is to design interventions and intelligent tools that help teams and societies thrive in harmony with technology. The OpportunityWe are seeking a Staff Research Scientist to lead cross-disciplinary research on culture, systems dynamics, and intervention design in complex adaptive environments. You will develop and evaluate interventions that strengthen system-level health—such as trust, safety, inclusion, and resilience—particularly where success is defined by the absence of breakdowns or by subtle shifts in collective behavior. You’ll apply ethnography, causal reasoning, and computational modeling to identify leverage points for positive change and to quantify the cultural factors that sustain high-functioning systems over time. This is an ideal role for a researcher who thrives at the intersection of culture and computation, and who is eager to translate social-scientific insight into scalable AI systems that augment human potential.Responsibilities • Design and evaluate real-world interventions (e.g., cluster or step-wedge trials, policy pilots, network interventions) to improve workforce wellbeing, safety culture, and trust across Toyota and partner organizations., • Integrate ethnographic and behavioral data into computational representations of social systems, using methods such as causal inference, social network analysis, or agent-based modeling., • Model diffusion and adoption dynamics—how culture, norms, and trust propagate through teams and organizations., • Collaborate with machine learning and AI researchers to embed cultural and organizational constructs in the Toyota People System’s architecture., • Develop ethical, evidence-based measurement frameworks for cultural health, burnout resilience, and collective intelligence., • Translate findings into action through technical reports, peer-reviewed publications, and design recommendations that inform human-centered AI products and organizational strategies., • Advance responsible research practices, including IRB and open-science principles, for human-subjects work in organizational settings.Qualifications, • Ph.D. or equivalent experience in Anthropology, Behavioral or Social Science, Implementation Science, or related fields., • Demonstrated expertise in applied systems research, including designing and evaluating interventions in complex, real-world environments., • Experience integrating qualitative and quantitative methods (ethnography, surveys, administrative data, causal modeling)., • Proven ability to conceptualize and measure system-level outcomes (e.g., culture change, burnout reduction, safety climate, equitable access)., • Strong analytical and computational skills (e.g., R, Python, simulation modeling, causal inference)., • Experience with social-network and diffusion modeling, behavioral nudges, or implementation science in organizational or public systems., • Track record of translating research into practice—for instance, policy or organizational interventions that improved system performance or wellbeing., • Expertise in ethical and open-science practices for complex, human-centered research.

Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities • Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities, • Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption, • Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments, • Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation, • Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and MLRequirements:, • Degree in Computer Science, Mathematics, or a related field, • 8+ years of experience in applied ML research and production deployment, • 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production, • Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production, • Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems, • Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP, • Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impactPreferred Qualifications, • MS or PhD in Computer Science, Machine Learning, or a related discipline, • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse, • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks

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

Job Description Job Title: Middle School Science Teacher (Grades 6-8) - Ignite Curiosity in a Dual-Language Environment Launch a Future of Discovery at a School That Roots for You At Escuela Popular, we don't just teach science—we cultivate the next generation of critical thinkers, problem-solvers, and innovators. Founded in 1986 as a grassroots community school, we have grown into a vibrant, culturally-rich charter school serving over 800 students in East San Jose. Our unique Two-Way Dual Language Immersion program celebrates bilingualism as a superpower, creating a learning environment where student identity is honored and academic excellence thrives. We are seeking a dynamic Middle School Science Teacher who is ready to create a classroom where curiosity is king, hypotheses are tested, and every student sees themselves as a scientist. Your Mission: Transform the Science Classroom into a Lab of Possibilities In this role, you will be more than a teacher; you will be a facilitator of wonder. You’ll design hands-on, inquiry-based experiences that make science relevant and exhilarating for our grades 6-8 students. As a key member of our collaborative team, you will empower students to ask tough questions, explore the world around them, and build the academic foundation for lifelong success. What You'll Do • Design Engaging Curriculum: Develop and deliver rigorous, standards-aligned, and culturally responsive science lessons that spark curiosity and critical thinking., • Lead with Hands-On Learning: Foster a love of science through labs, experiments, project-based learning, and real-world applications., • Champion Every Student: Use differentiated instruction and formative data to meet the diverse needs of all learners and ensure no one is left behind., • Build a Thriving Classroom Community: Create a safe, inclusive, and respectful environment where students feel empowered to take intellectual risks., • Partner for Success: Maintain strong, proactive communication with families and actively collaborate with colleagues to support school-wide goals., • A Bachelor’s degree in Science, Education, or a related field., • A valid California Single Subject Teaching Credential in Science., • Hold a Bilingual Authorization (BCLAD/EL) and are fluent in Spanish and English., • Have at least one year of teaching experience, preferably in a diverse or dual-language setting., • Believe that science is a dynamic, hands-on subject and you can’t wait to get students experimenting., • Are a reflective practitioner who uses data to drive instruction and possesses a relentless growth mindset., • Build strong, authentic relationships with students, families, and colleagues. We Support You & Your Family: • Free On-Site Childcare: For both staff and students, because we know family comes first., • Comprehensive Benefits: Medical, dental, vision, and life insurance for employees working 6+ hours per day., • Financial Wellbeing: Competitive compensation, structured as a salary for full-time and an hourly rate for part-time roles, commensurate with experience., • Classroom Support: Collaborate with a dedicated paraprofessional to maximize your impact., • Continuous Learning: Engage in ongoing, relevant professional development to refine your pedagogy.

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

Job Description Location: Michigan & Santa Clara About SiTime SiTime Corporation is the precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power and better reliability. With more than 3 billion devices shipped, SiTime is changing the timing industry. For more information, visit . Job Summary • Join the team that is revolutionizing the timing industry with the best silicon Microelectromechanical Systems (MEMS) timing products in the world. As a Principal MEMS Development Engineer, you will use your technical and creative problem-solving skills to push forward MEMS technology and engineer resonators for SiTime’s next-generation timing products. It is not necessary to meet all job requirements to be a qualified candidate for the position. Responsibilities: • Lead definition and execution of challenging technical projects., • Advise management of challenges, impact, recommendations., • Develop new or improved resonators, MEMS technologies and/or products., • Design MEMS devices and characterize their electrical, mechanical, and thermal performance on wafer level and/or device level., • Work with process team to drive continuous improvement in MEMS yields., • Extend and enhance automated infrastructure for MEMS design, measurements, and data analysis., • Design and analyze experiments to understand device physics, materials, and fabrication., • Interface with local and overseas vendors., • Work in cross-functional teams, including circuits, systems, and packaging., • Working/supporting other projects as needed. Qualifications & Requirements: • Ph.D. in ME, EE, Physics, or equivalent, • At least 3 years of industry experience., • Skilled scientist with ability to design, conduct, and analyze experiments., • Excellent problem identification and problem-solving abilities., • Excellent knowledge of mechanics, electrodynamics, thermodynamics., • Knowledge in fundamentals of MEMS devices physics and fabrication., • Experience with finite element simulation tools (COMSOL, ANSYS) and data processing tools (Matlab, Python)., • Excellent interpersonal, organizational, written and verbal communication skills., • Passion for delivering exceptional results. Desired Characteristics & Attributes: • 3 -10 years of industry experience., • Intermediate to advanced knowledge of programing languages, circuits, metrology equipment and methods., • Experience with Statistical analysis and tools such as R or JMP., • Knowledge in MEMS microfabrication. Compensation Range: At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent. The annual base salary range for this role is $164,800.00 – $226,600.00. The final offer is determined by factors such as location, experience, education, and training. In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company’s future growth and success. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program. Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube #LI-SITIME

Job Description Role: Data Scientist - 2 Work location: San Jose, CA – Onsite Job Type: Contract Job Description: Item embedding/recommendation engine Deep learning and recommendation engine @ scale for item and product embeddings Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP Requirements Retail experience with Category management Demand forecasting, pricing,promo,assortment optmization Key Skills - SQL/Python ...??R?? as needed. Pyspark for Databricks Core development platform - Databricks on GCP 10+ years of experience Key Skills - SQL/Python ...?R? as needed. Pyspark for Databricks Core development platform Databricks on GCP

Job Description Associate Fraud Strategy Data ScientistThis is an exciting opportunity to join a growing global company in the cloud-based software industry. We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Responsibilities: • Design rules to detect/mitigate fraud., • Develop Python scripts and models that support strategies., • Investigate novel/large cases and identify root cause., • Set strategy for different risk types., • Work with product/engineering to improvement control capabilities and develop and present strategies and guide execution., • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologiesPay Rate: $50/hour

Job DescriptionAbout the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a fundamental role in establishing our scientific and technical directions toward the development of emergent capabilities within Foundation Models. The role involves pioneering novel approaches within Reinforcement Learning to facilitate paradigm shifts in foundation modeling. The role involves prototyping and adapting novel approaches to learning from experience, contributing to large-scale RL training infrastructure, and produce replicable code for public release. You will also be expected to build and maintain a productive research portfolio, supported by internal and external collaborations. Key Responsibilities - Develop novel research toward massive scale self-play for foundation model training, agentic tasks, and imbuing models with the capability to proactively learn from its environment. - Initiate and pursue novel reinforcement learning algorithmic approaches to define and drive emergent capabilities in Foundation Models. - Full-stack engineering from data curation, model architecture and algorithm design, to final production of models for end-users using high quality (documented, tested, maintainable) code. - Contribute to technical reports and research publications. - Represent MBZUAI at industry conferences and events, showcasing the institution’s technology and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. - Proactively engage with the open-source community. - Contribute to large-scale reinforcement learning training and inference frameworks. - Facilitate internal and external collaboration Academic Qualifications - MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields. Professional Experience Minimum - 3+ years of hands-on experience with reinforcement learning - Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement. - Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. - Strong Python development skills with a focus on research-grade code and scalable data pipelines. - Practical experience implementing complex mathematical concepts into reliable, well-documented code. - Experience applying novel RL algorithms to practical applications. - Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations. - Strong communication and collaboration skills for effective cross-functional work. Preferred Qualifications - Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc. - Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. - Familiarity with current RL+LLM training libraries - Experience training policies in self-play, possibly demonstrated by publication, blog post, public code. - Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code. - Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR) - Familiarity with performance constraints in production environments and the trade-offs in model design and execution. - Prior contributions to open-source ML research or data tools. - Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeGenerous paid time off, sick leave and holidaysEmployee Assistance Program*Life insurance and disability

Job Description Data ScientistJob Details • Data Scientist (Contract), • Location: San Jose CA 95110 (Hybrid), • Duration: 11/17/2025 to 6/12/2026, • Team: Express Growth US About the Role:, • The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive product-led growth for Adobe Express. You will employ data to deeply understand Adobe Express customers through their entire lifecycle, from Acquisition, Engagement Conversion and Monetization, drive strategy, measure progress toward goals, be the voice of customer performance through the product and uncover new opportunities. The ideal candidate will have deep technical skills, a passion for delivering compelling customer analytics, curiosity, and a desire to grow technical skills! Key Responsibilities:, • Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners., • Use data from multiple sources to understand customers and their in-product engagement, purchase, and retention, trial and paid conversion patterns create compelling data narratives that drive action and find opportunities to further elevate the Express product experience., • Own and drive growth metrics related to product engagement and monetization. Unlock customer usage and behavior patterns and develop models to analyze the causal relationships between product usage, customer retention and propensity to purchase and convert at a macro and micro-transaction level., • Build new predictive models to understand the relationship between usage, engagement and customer retention - and fuel the basis for Propensity frameworks and find opportunities for monetization., • Develop Analysis frameworks to enable thorough data insights, while maintaining the quality of the insight, and inform strategy., • Develop strategy to drive Data Science and scale the efficiency of the organization by building creative automative solutions., • Serve as the Business liaison, working across all growth pillars and the Finance and Go-To-Market organizations to build regular product performance updates with the Product Led Growth lens., • Lead the Growth organization forecasting and Target setting framework and build Growth contribution layers towards the Express KPI goals., • Partner with the enablement and product teams to enable analytics measurement across existing and new features built in the product in supporting data systems., • Build and maintain dashboards to enable self-serve of information., • Generate data-informed hypotheses to drive in product growth experiments and support readouts to assess the performance of the tests. Required Skills & Qualifications:, • Bachelor’s degree in computer science, statistics, physics or a related field is required. A Master’s degree in this field is preferred., • 3-5+ years of direct experience as a Data Scientist, • Deep understanding of statistics and expertise in building, productizing, maintaining, and improving predictive models, • Strong proficiency in querying, manipulating, validating, and analyzing large data sets using SQL or Hive, • Self Starter, asking questions. Experience with Python, R or any other scripting language., • Experience with one or more data visualization tools such as Tableau or Power BI, • Experience with Adobe Analytics, Amplitude is a plus., • Strong business insight, good communication and collaboration skills. Compensation:, • Up to $105.63 per hour.#36413583

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career We are seeking a versatile Data Scientist to join our team and help shape the future of our business operations. This role is a unique hybrid of classical machine learning and applied AI. You will tackle diverse and impactful projects, from building predictive models that drive key business decisions to characterizing and optimizing the performance of our emerging AI agentic systems. You are an entrepreneurial problem-solver who thrives in ambiguous environments and enjoys bridging the gap between technical execution and business strategy. In this role, you will act as both a builder, developing and deploying ML models, and a strategic partner, consulting with business teams to unlock new opportunities with data and AI. If you are passionate about wearing multiple hats, working in a fast-paced setting, and delivering high-quality, impactful work, we want to hear from you. This is an in-office role 3 days/week in our HQ, Santa Clara, CA. Your Impact * Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, and finance forecasting. * Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability. * Partner with Business Stakeholders: Act as an internal consultant to our marketing, product, finance and go-to-market teams. You'll translate business challenges into data science problems, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. * Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, chart a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and in partnership with the data platform team , ongoing monitoring for performance degradation. * Data Storytelling: Don’t just build the model; sell the solution. You will visualize your findings (using Tableau, Looker, or custom coding) to make complex data intuitive for business stakeholders. • Collaboration: Partner closely with Marketing and Product teams to translate their business goals into technical data requirements. Qualifications Your Experience * Education & Experience: * Bachelor’s degree with 5+ years of related experience; OR * Master’s degree with 3+ years of related experience; OR * PhD in a quantitative field (Computer Science, AI, Statistics, Physics, etc.) with 1+ years of experience (academic research applies). * Strong foundation in statistics and probability theory and commonly used data science algorithms. * Proven hands-on experience building and deploying machine learning models in a production environment. * A solid command of SQL for complex querying and data manipulation. * Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. * Prior experience developing dashboards in Tableau/Looker or similar data viz platform. Preferred * Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. * Experience in evaluating and optimizing the performance of AI systems or agents. * Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis, or marketing mix modeling. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $141,000 - $228,050/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

Job DescriptionAt Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust and adaptable, driving policies that generalize across tasks, sensor modalities, and public road scenarios—delivering ground-breaking improvements for ADAS, autonomous systems, and simulation-driven software development. We are seeking a highly motivated Research Scientist specializing in uncertainty-aware world models for autonomous vehicles. In this role, you will develop cutting-edge models that enable autonomous systems to perceive, predict, and interact intelligently with their environment. You will work at the intersection of machine learning, computer vision, robotics, and probabilistic modeling to build robust world models that improve perception, planning, and decision-making in self-driving systems.Responsibilities • Develop and refine world models that improve the understanding of sophisticated and dynamic driving environments., • Research and implement deep learning, reinforcement learning, and probabilistic modeling techniques for improved scene representation and prediction., • Design algorithms that integrate sensor fusion, temporal reasoning, and uncertainty estimation to improve autonomous vehicle behavior., • Collaborate with cross-functional teams, including perception, planning, and simulation engineers, to develop real-time, scalable models for deployment., • Conduct experiments, simulations, and real-world validations to assess the effectiveness of world models., • Publish research findings in premier conferences and journals and contribute to the AI and robotics research community., • Stay up to date with advancements in machine learning, generative modeling, and simulation technologies.Qualifications, • Ph.D. (or equivalent experience) in Machine Learning, Computer Science, Robotics, or a related field., • Strong background in probabilistic modeling, reinforcement learning, and deep learning architectures (e.g., Transformers, VAEs, Diffusion Models)., • Strong understanding of Bayesian inference, state-space models, and uncertainty quantification., • Hands-on experience with world models, predictive modeling, or generative modeling in robotics or autonomous systems., • Prior experience in publishing research at NeurIPS, ICML, CVPR, ICRA, or similar., • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX)., • Experience working with autonomous vehicle datasets, sensor modalities (LiDAR, camera, radar), and simulation environments.

Job Description Note: This is a hybrid position, so candidates must be in San Jose. JOB DESCRIPTION: We are looking for a talented, enthusiastic, and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis, and loss mitigation. This position requires a person who has experience performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain. We’d love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, and Excel, including key data science libraries, • Proficiency in data visualization, including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives, including development of dashboards and visualizations, ie, Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how and ability to work with your team to make a big impact., • Desirable to have experience or aptitude in solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop Python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set a strategy for different risk types, • Work with product/engineering to improve control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders, including product managers and engineering team,s to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Maximum 2 years of experience in risk analytics, data analysis, and data science within the relevant industry, with experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining, or related field, or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, and Excel, including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges, especially in Fraud mitigation., • Experience in data visualization, including Tableau., • Experience working with large datasets.Company DescriptionDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow. Specialties / DSG Core Competencies: • Healthcare Information Management, • Healthcare Information Technology Discovery(HID), • Project/Program Managers, • Change and Configuration Managers, • Quality Assurance/Testers, • Network Security, • Database Developers and Administrators, • Information Assurance, • Web Development, • HelpdeskDiverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.\r\n\r\nSpecialties / DSG Core Competencies:\r\n* Healthcare Information Management\r\n* Healthcare Information Technology Discovery(HID)\r\n* Project/Program Managers\r\n* Change and Configuration Managers\r\n* Quality Assurance/Testers\r\n* Network Security\r\n* Database Developers and Administrators \r\n* Information Assurance\r\n* Web Development\r\n* Helpdesk

Job DescriptionSalary: $125k - $145k About Oxford Biotherapeutics: Oxford BioTherapeutics (OBT) is a dynamic, growing, international biotechnology company based in Oxford, UK, and San Jose, CA. We are a clinical stage oncology company with a pipeline of immunooncology and antibody-drug conjugate-based therapies. OBT's IO discovery process provides unique insight into the cancer-immune cell synapse and has identified several novel IO candidates for cancer therapy. Discovery of novel tumor antigens and immune cell surface proteins at OBT is performed using the proprietary Oxford Genome Anatomy Project (OGAP) database. OBT currently has one ADC in phase 1b clinical trials in collaboration with Menarini. Job Description We are seeking a motivated and detail-oriented Scientist to join our histopathology lab within the Target Validation Team at our San Jose, CA site. The appropriate candidate will be expected to independently execute the necessary histopathology techniques for evaluating oncology therapeutic targets. This role will support our target validation efforts by using immunohistochemistry (IHC), immunofluorescence (IF), in situ hybridization (ISH), microscope slide scanning, whole-slide image analysis and troubleshooting experience to aid in the development of new assays and informative assay data. The majority of responsibilities will be focused on IHC, including the screening, assay development, and validation of IHC antibody clones, oncology indication-focused tissue procurement, sample processing and embedding (FFPE and FF), sectioning (FFPE and FF), and tissue-based assay development (both manual and automated). Hands-on knowledge of histology and oncology fundamentals is required. Responsibilities will include, but are not limited to, the following: • Independently design and execute the selection of in-house antibody clones to develop, validate and utilize chromogenic IHC assays against novel cancer drug targets., • Design and perform single and multiplexed IHC, ISH, IF and similar assay experiments to support therapeutic drug development decision making., • Process tissues and cell pellets into FFPE and frozen sample blocks; section FFPE and frozen samples, and perform staining primarily using Leica Bond autostainers., • Digitize microscope slides using slide scanners and independently summarize results of lab experiments in ELN and PowerPoint presentation formats in a timely manner., • Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinical development., • Be relied upon as a technical expert in the IHC field; provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues., • Perform general day-to-day lab tasks including timely archiving of new slides and samples, equipment maintenance, consumables ordering, shipping/receiving, etc.. Required Qualifications and Skills: • PhD +4 years, or Masters +6 years, or Bachelors +8 years or more of hands-on experience working in histology and IHC related labs, preferably supporting cancer research in an industry setting., • Extensive hands-on experience developing, utilizing, and interpreting immunohistochemistry (IHC) assays against novel protein targets, using both single and multiplex IHC techniques primarily on FFPE sample slides., • Extensive hands-on experience in laboratory histology, including preparation of tissue samples into FFPE and FF blocks, preparation of cell pellet control blocks, cryostat and microtome sectioning, troubleshooting chromogenic IHC andISH experiments, and independently identifying appropriate next steps in the development of robust, sensitive and specific tissue biomarker assays., • Experience with Leica Bond autostainers and reagents relevant to optimizing new IHC assays, typically chromogenic assays., • Experience with microscope slide scanners for brightfield and fluorescent imaging, and general experience utilizing whole-slide image analysis software such as HALO. Preferred Qualifications and Skills: • Knowledge in cancer biology, immuno-oncology, and tumor histopathology are each a plus., • Strong track record of developing and implementing strategic initiatives to improve scientific and/or operational activities., • Relevant experience working with service providers and CROs in the histology space., • Excellent organization skills, and previous successes working a growing and fast-paced work environment., • Experience regularly presenting IHC assay results in group settings., • Top candidates will be collaborative and team oriented, creative problem solvers, resilient to change, and interested in learning opportunities., • Experience with cell culture and related molecular biology assays (WB/ELISA/etc.) are additionally a plus. One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits. Benefits Offered: Medical, dental and vision insurance FSA (Flexible Spending Account) STD, LTD, Basic Life, Supplemental Life and AD&D Insurance 401(k) Plan Up to 120 hours of Paid Time Off in your first year (increasing with tenure) 5 sick days per year 11 paid holidays Employee Referral Bonus Program Annual training budget for professional development Annual bonus program New hire stock options Team building events and activities Equal Opportunities Statement OBT is an equal opportunity employer and prohibits unlawful discrimination based on race, color,religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age,disability, marital status, and veteran status. All qualified applicants will receive consideration foremployment. Why Join Us We promote a culture of innovation, responsibility, and commitment to our goals and objectives.Together, we believe, we can pool our resources and our uniqueness to develop novel, robust curesfor one of the most challenging health conditions today. We recognize that our team is only as goodas the people in it. Our people have used the words friendly, collaborative, and hard working todescribe the culture here at OBT. This is why, while we strive to ensure that we hire only the bestpeople. We also strive to provide a working environment that is based on cooperation, innovation,and mutual respect.

Job DescriptionEstablished in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days. WeRide.ai Silicon Valley team is looking for an experienced and innovative data scientist for its growing metrics team to support the development and validation of both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification. The metrics team is at the forefront of accelerating the development and deployment of cutting-edge ADAS/AV technologies. As a Senior Data Scientist on this team, you will play a pivotal role in ensuring the safety, reliability, and efficiency of our autonomous systems. You will be responsible for developing and implementing rigorous evaluation frameworks and advanced statistical methodologies to assess overall system performance, as well as the performance of critical sub-systems across software releases, and different territories. Your work will directly inform crucial engineering decisions, guide iterative improvements, and contribute to the successful commercialization of our ADAS/AV stack. What You Will Do: • Develop Rigorous Evaluation Frameworks: Design, develop, and implement advanced statistical frameworks for the comprehensive evaluation of ADAS/AV system performance, with a strong emphasis on safety, compliance, and progress metrics., • Define and Monitor System Performance: Define, measure, and monitor key performance indicators (KPIs) for the overall ADAS/AV system. Develop automated data pipelines and reporting mechanisms to track these metrics across software releases., • Evaluate Sub-system Performance: Define and implement metrics to evaluate the performance of individual sub-systems. Utilize these metrics to provide actionable insights that guide and accelerate sub-system development and improvement., • Statistical Analysis and Experimentation: Apply advanced statistical techniques, including hypothesis testing, experimental design, and causal inference, to analyze complex behavioral data and derive robust insights into system performance and regressions between releases., • Partner with Engineering Teams: Collaborate closely with Simulation, Systems Engineering, Product, and Software Development teams to integrate evaluation insights into the development lifecycle, inform release readiness, and ensure alignment on performance targets., • Technical Leadership and Mentorship: Provide technical leadership on complex data science problems, champion best practices in data analysis and statistical rigor, and mentor junior data scientists within the team., • Data Visualization and Communication: Create compelling data visualizations and communicate complex analytical findings clearly and concisely to diverse audiences, ranging from technical engineers to senior leadership.Requirements:, • Quantitative Degree: Master's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field., • Extensive Industry Experience: 3+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models., • Advanced Statistical Expertise: Deep expertise in advanced statistical methods and their application in real-world settings, including experimental design, hypothesis testing, regression analysis, causal inference and time series analysis, etc., • Technical Problem Formulation: Proven ability to translate ambiguous real-world challenges into clearly defined data science problems, identify appropriate methodologies, and deliver effective solutions., • Data Manipulation and Analysis: Proficiency in using programming languages (e.g., Python, R) and SQL for data extraction, manipulation, and analysis., • Communication: Excellent verbal and written communication skills, with the ability to tailor technical explanations to various stakeholders., • Flexibility: Ability to collaborate effectively with teams in different time zones.Preferred Qualifications:, • PhD degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field., • 5+ years of industry experience solving complex data science problems, with a strong focus on building and applying rigorous analytical and statistical models., • Experience with large-scale evaluation frameworks for complex software systems, particularly in autonomous driving or robotics., • Familiarity with ADAS/AV system architectures and the behavioral challenges inherent in autonomous driving.

Job DescriptionHORIZON ROBOTICS: Make human life safer and better About Horizon Robotics Horizon Robotics (HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale. The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow machines to learn new knowledge and skills as efficiently as humans. We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL), etc. As a Research Scientist in the team, you will conduct research within a specialized focus area and collaborate with internal and external world-class researchers and applied engineering teams. - Propose and formulate research problems towards solving AGI- Design, implement and evaluate algorithms, models and prototypes of AI systems- Collaborate with team members to achieve research goals- Report and present research findings internally and externally (such as in top tier academic journals and/or conferences) Here is what we’d like to see in you: - PhD degree (or close to completion)) in computer science, machine learning, robotics, or related field, with a broad knowledge of machine learning approaches and theory- Track record of coming up with and implementing new ideas in AI- Strong ability in mathematically modeling real world problems- Strong ability in implementing algorithms and systems- Hunger for learning new things- Passion in artificial general intelligence and willingness to do challenging deep research- Experience in one or more fields of artificial intelligence such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, large language models, etc.- Applicants must be able to obtain work authorization in the U.S. at the time of hire and maintain ongoing work authorization during employment. This is a hybrid role with the expectation of working at least 3 days per week in our Cupertino office.The base pay range for this full-time Research Scientist position is between $150,000 and $300,000/year plus equity incentive, depending on your experience, qualifications, education, skills and other related factors. This position is also eligible for an annual performance bonus and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off. We also sponsor H-1B visas and green card petitions.Your compensation will be determined based on your location, experience, and the pay of employees in similar positions.Horizon Robotics is committed to be an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations. Privacy Notice to California Employees and Job Applicants We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionClinical Lab Scientist (Hematology)Location: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! We are Eurofins Ascend Clinical, LLC., one of the highest volume clinical laboratories in the United States. With the use of the most advanced tools and technology, we process millions of tests each month. For over 30 years, we have been delivering industry-leading service and excellence in testing. At Ascend, we are relentless about innovation and growing to pioneer the future of clinical and environmental laboratory testing. Ascend is unlike most companies, offering the discipline of a healthcare leader and the mentality of a tech startup. As a company that is on the leading edge, we are seeking individuals with a similar mindset who enjoy a dynamic, fast-paced environment. Job Summary: As a Clinical Laboratory Scientist (Hematology) you will perform routine laboratory testing as well as basic instrumentation maintenance and troubleshooting and accurately perform routine laboratory testing in accordance with protocols established. The CLS will correlate and integrate other patient data when interpreting test results and report results, which are substantiated by the proper use of appropriate quality control systems. The CLS will also use professional judgment and have an in-depth knowledge of laboratory techniques, scientific principles, quality control and instrument maintenance. This is a per diem role. Essential Functions: • Follow all company policies and procedures: general policies, Exposure Control, Chemical Hazard, Illness and Injury Prevention Program and Quality Assurance Program. Understands the hazards associated with failing to follow those procedures, • Perform Quality Control (QC) procedures and interpretation of clinical values, including critical values and delta checks. Knows when test results are reportable and what to do in case of Quality Control failure., • Perform and log routine daily, weekly and monthly maintenance and calibration of laboratory instrumentation according to protocols, • Perform, evaluate and report all routine laboratory tests in chemistry and/or immunology under the supervision of a licensed Clinical Laboratory Scientist and according to established AC protocols. Strictly adheres to written procedures, • Know protocol for handling critical values including rerunning tests, review of past results and phoning unit with results. Interact with Client Services, when necessary and appropriate, when results need to be phoned. Handle and investigate complaints, problems and discrepancies, as needed, • Apply current scientific principles to clinical situations and demonstrate thorough knowledge of instrument operation., • Participate in the Quality Assurance program and in in-service education programs, • Strong Knowledge of accepted clinical laboratory practice and procedures including handling of potentially infectious material and familiarity with California law relating to the practice of medical technology., • Moderate computer skills, good quality control and instrument maintenance knowledge., • Strong communication skills, both written and verbal., • Analytical problem-solving skills, proficiency in performing detailed tasks thoroughly and completely, and the ability to follow complicated instructions with accuracy., • Good organizational skills., • Strong knowledge of multiple specialties and of quality control and calibration., • Strong knowledge of lab equipment and procedures., • Clinical Laboratory Scientist license from the State of CaliforniaCompensation:, • $55-65/hr, • Compensation may vary for different individuals in the same role based on several factors, including but not limited to individual competencies, education/professional certifications, experience and performance in the roleAscend is an Equal Opportunity Employer - M/F/Disabled/Veteran Eurofins Ascend Clinical, LLC is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The company’s policy is to recruit, hire, train, promote and administer all employment-related matters on the basis of an individual's qualifications, abilities and efforts without regard to protected status. Powered by JazzHR qPON1g2Cce

Job DescriptionCompany Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As a Staff Data Engineer and Scientist, you will be an integral member of our Customer Analytics team, responsible for shaping the future of our business operations through robust data infrastructure and advanced analytical solutions. This unique hybrid role combines data engineering and applied AI/ML, requiring an entrepreneurial problem-solver who thrives in tackling ambiguous business problems through their deep understanding of the business as well as deep technical expertise. You will act as both a strategic partner as well as builder, developing deep insights , building, developing and curating new datasets, as well as owning the end to end ML/AI model deployment for key customer success initiatives. You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work. This is an in office role 3 days/week in our HQ, Santa Clara, CA Your Impact In this versatile role, you will drive impact across both data engineering and data science domains: Data Engineering Foundations * Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users. * Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies. * Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations. * Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes. AI/ML Innovation & Business Impact * Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales. * Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability. * Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner. * Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation. Qualifications Your Experience * 7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering. * Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics. * Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI. * Prior experience developing dashboards in Tableau/Looker or similar data viz platform. * Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled. * Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost). * A solid command of SQL for complex querying and data manipulation. * Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion. Preferred Qualifications * Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space. * Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem. * Experience in evaluating and optimizing the performance of AI systems or agents. * Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis. * An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience. Additional Information The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Job Description Location - Michigan & Santa Clara About SiTime SiTime Corporation is the precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power, and better reliability. With more than 3 billion devices shipped, SiTime is changing the timing industry. For more information, visit . Job Summary • Join the team that is revolutionizing the timing industry with the best silicon Microelectromechanical Systems (MEMS) timing products in the world. As a MEMS Development Engineer, you will use your technical and creative problem-solving skills to design, characterize, improve MEMS devices and build SiTime’s next generation of MEMS products. It is not necessary to meet all job requirements to be a qualified candidate for the position. Responsibilities: • Design MEMS devices and characterize the electrical, mechanical, and thermal performance., • Extend and enhance automated infrastructure for MEMS design, data collection and analysis., • Design, run, and analyze experiments to understand device physics, materials and fabrication., • Interface with local and overseas vendors., • Work in cross-functional teams, including Circuits, Systems, and Packaging., • Drive and/or support projects and other company goals as needed., • Working/supporting other projects as needed. Qualifications & Requirements: • Ph.D. in ME, EE, Physics, or equivalent, • Skilled scientist with ability to design, conduct, and analyze experiments., • Excellent knowledge of mechanics, electrodynamics, thermodynamics., • Knowledge in fundamentals of MEMS devices., • Excellent interpersonal, organizational, written and verbal communication skills., • Passion for delivering exceptional results. Desired Characteristics & Attributes: • 1+ years of industry experience, • Basic knowledge of programing languages, circuits, metrology equipment and methods., • Knowledge of finite element simulation tools (COMSOL, ANSYS) and signal processing tools (Matlab). Compensation Range : At SiTime, we believe great work deserves great rewards. We offer a comprehensive and highly competitive compensation package designed to attract top talent. The annual base salary range for this role is $138,800.00 – $190,850.00. The final offer is determined by factors such as location, experience, education, and training. In addition to base salary, this role is eligible for a quarterly bonus tied to the achievement of innovation goals—reflecting our commitment to recognizing meaningful impact. We also offer equity grants, providing a meaningful opportunity to share in the company’s future growth and success. Benefits offered: 401k plan, health and wellness that includes medical, dental, vision, life, parental leave, legal services, and time off plans. SiTime is an Equal Opportunity Employer. We treat each person fairly and we do not tolerate discrimination or harassment against anyone on the basis of any protected characteristics, including race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, pregnancy, political affiliation, protected veteran status, protected genetic information, or marital status or other characteristics protected by law. SiTime participates in the E-Verify program. Learn More about SiTime: Review the Get to Know SiTime section of our career page to explore our culture, values, and what makes us unique. • Innovation on Top – Philosophies of Innovation with Rajesh Vashist, • Fabrication Knowledge – An Interview with Rajesh Vashist, • SiTime Corporation – YouTube #LI-SITIME

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You’ll Be Working On: * Develop Forecasting & Analysis Models: Build and deploy models for financial forecasting and product analysis to drive strategic decisions. * Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. * Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. * Champion Data Quality & Infrastructure: Collaborate with internal teams on initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You’ll Bring to the Team: * Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. * Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. * Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. * Commitment to Quality: Show a proven track record and passion for data quality. * Ownership: As an early hire on the data science team, you’ll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): * Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. * Experience building cloud infrastructure (e.g., AWS, GCP, Azure). * Experience on a growing or early-stage data team, contributing to foundational development. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Credit Strategy Data Scientist Location: Remote (U.S.-based candidates only) - 12 month contract Full-Time | MidSenior Level | No Visa Sponsorship or Relocation Overview A fast-growing financial services organization is seeking a Credit Strategy Data Scientist to join its high-performing Credit Risk Strategy team. This is an exciting opportunity for a data-savvy professional with fintech or payments industry experience to help drive business-critical decisions through advanced analytics, predictive modeling, and risk mitigation strategies. You will work on end-to-end development of data-driven credit solutionspartnering closely with cross-functional stakeholders to design, execute, and refine credit strategies that support responsible growth and customer success. What Youll Do * Design and implement data-driven rules to detect and mitigate credit losses • Investigate complex and high-impact risk cases and identify root causes, • Set and refine credit risk strategies across various risk categories, • Collaborate with product and engineering teams to enhance risk control capabilities, • Lead the development of dashboards, visualizations, and reports to track credit KPIs Present data-backed recommendations to stakeholders and executives * Use large-scale datasets to uncover patterns and drive risk optimization • Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or a related field (or equivalent practical experience), • 2+ years of hands-on experience in risk analytics, data science, or data analysispreferably within fintech or online payments, • Proficiency in SQL, Python, and Excel, including core data science libraries, • Proven ability to work with large datasets and derive actionable insights, • Experience developing and communicating dashboards and visualizations (e.g. Tableau), • Strong communication skills and ability to translate complex analysis to diverse audiences Demonstrated data-driven decision-making and solution development Preferred Skills & Experience • Experience applying data science to credit risk and loss mitigation problems, • Familiarity with AWS, payment rule systems, or credit product lifecycles, • Strong project management skills and ability to drive analytics from concept to execution, • Design and deployment of credit strategies based on emerging loss trends, • Creation of performance dashboards and tools to monitor KPIs and credit risk health, • Collaboration with product and engineering teams to implement real-time credit decisioning Data Analytics & Visualization * Credit Rule Development * Strategic Communication * Cross-Functional Collaboration * Project Ownership & Execution Interview Process * At-home screening assignment * Technical interview with senior team member * Final panel interview with hiring manager and team Team Size: 5 members Work Style: Close collaboration with senior data scientists initially, with room for independent ownership over time. Focus Area: Reporting, visualization, and strategy design This is a high-impact role at the intersection of data science, risk management, and business strategyperfect for professionals passionate about leveraging data to drive innovation in financial services. Apply now to help shape the future of responsible credit risk management.

Job Description JOB DESCRIPTION: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. Wed love to chat if you have: • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience, • Experience using statistics and data science to solve complex business problems, • Proficiency in SQL, Python, Excel including key data science libraries, • Proficiency in data visualization including Tableau, • Experience working with large datasets, • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau., • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes, • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact., • Desirable to have experience or aptitude solving problems related to risk using data science and analytics, • Design rules to detect/mitigate fraud, • Develop python scripts and models that support strategies, • Investigate novel/large cases, • Identify root cause, • Set strategy for different risk types, • Work with product/engineering to improvement control capabilities, • Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers., • Utilize data analysis to design and implement fraud strategies, • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers., • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders., • Data analytics and models, • Rule development, • Dashboard Creation, • Project Management, • Strong SQL proficiency, • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation, • Proficiency in AWS Quicksight and Tableau, • Strictly contract to cover multiple leaves over a 1 yr. period., • Potential to extend based on business need and performance., • Day shift: M-F Pacific time, • Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse., • Bachelors degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience., • Experience using statistics and data science to solve complex business problems., • Experience in SQL, Python, Excel including key data science libraries., • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation., • Experience in data visualization including Tableau., • Experience working with large datasets.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. Key Responsibilities • Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models., • Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets., • Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets, • Design data recipes that maximize model capabilities across diverse domains., • Optimize data-model co-design for improved training dynamics., • Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation. Academic Qualifications, • Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required., • Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. Professional Experience, • Experience working with large language models, including evaluation, fine-tuning, and prompt engineering., • Strong Python development skills with a focus on research-grade code and scalable data pipelines., • Familiarity with collecting and processing large-scale datasets from open-source and web resources., • Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging)., • Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision., • Effective communication and collaboration skills for working in cross-functional teams. Preferred, • Prior research experience in areas such as web data curation and mixing, synthetizing complex datasets for training, LLM evaluation, post-training data, efficient inference, LLM-as-a-judge, tokenization., • Strong publication record in leading AI conferences (e.g., NeurIPS, ICLR, ICML, EMNLP) and/or prior contributions to open-source AI research or data tools.

About RDC.AI What started in 2016 with five people and two chairs has become a global force transforming how banks lend, grow, and protect their portfolios. RDC.AI helps business and commercial bankers know more, do more, and grow more by turning complex data into actionable intelligence. Our platform uniquely combines predictive and agentic AI to deliver transparent, explainable insights across the entire lending lifecycle from origination to monitoring. With built-in AI assistants and clear rationales for every recommendation, we empower banks across the globe to make confident decisions faster, launch innovative products, and generate tens of millions of dollars in measurable value. We're not just building AI - we're pioneering the future of intelligent banking, where every decision is explainable, every insight is actionable, and every outcome drives real impact. Join the AI Revolution Award-Winning Innovation • Winner: The Digital Banker's 2025 Global AI Innovation Awards (Best AI-Powered Platform), • Two-time finalist: American Chamber of Commerce Alliance Awards (Advanced Capabilities category) Cutting-Edge Technology • Building agentic AI solutions that solve real world banking problems, • We are live in major banks, making millions of decisions, generating tens of millions in value, • Highest security accreditations: SOC2 Type 2 and ISO 27001 certified 5-Star Employer Experience • Named "Best Companies to Work For" by HRD Australia (2023), • High-performance teams working alongside industry-leading data scientists and credit experts, • Vibrant, innovative culture that celebrates wins and solves complex problems together Global Impact & Growth • Fast-expanding presence across Australia, New Zealand, and North America, • Helping drive financial inclusion through fair, accessible, sustainable credit, • Opportunity to gain AI expertise and international experience in a rapidly growing market Work-Life Excellence • Flexible working arrangements - work how's right for you, • Collaborative, agile environment where your contributions matter, • Be part of a mission that's transforming financial services globally RDC.AI North America offers: • Competitive benefits package (80% of premiums paid by RDC.ai), • 12 paid holidays, • 20 days PTO per year + 5 paid personal or sick days per year, • Paid Maternity/Paternity leave Ready to shape the future of intelligent banking? Join us. About the Role RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include: • Design, present & document AI-based initiatives to our clients, typically banking and risk executives., • Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs., • Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform., • Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America, • Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space. About the Candidate Essential-Experience/Skills • Bachelor’s degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree., • 5+ years of data science experience, ideally in credit risk or financial services., • Experience developing and managing quantitative credit risk models including credit decisioning models., • Programming experience in Python for 3+ years., • Programming in SQL for 1+ years., • Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking., • Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.), • Experience presenting to technical, and non-technical stakeholders, including senior leadership., • Excellent communication and client engagement skills., • Ability to travel within North America (estimated 25% travel). Desired-Experience/Skills • Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree., • Experience with commercial and/or business lending., • Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data., • Understanding the decision-making process behind the lending process., • Experience in credit risk analysis, strategy design, and monitoring., • Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA Title: AI Research Scientist Location: San Jose, CA Responsibilities: • Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics., • Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases., • Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness., • Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes., • Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints., • Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation., • Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems., • Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred., • Candidates with a master’s degree and exceptional research or industry experience will also be considered. Industry Experience: • 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments., • Demonstrated success in delivering research-driven solutions that have been deployed in production., • Experience collaborating in cross-functional teams across research, engineering, and product., • Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: • Strong foundational knowledge in machine learning and deep learning algorithms., • Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO)., • Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases., • Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations., • Advanced programming skills in Python (preferred), C++, or Java., • Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc., • Strong mathematical foundations in probability, linear algebra, and calculus., • Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc., • Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of., • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO, • An excellent retirement savings plan with high employer contribution, • Tuition reimbursement, the ___ student debt program and ___ education benefit - an affordable and convenient path to getting a bachelor’s degree., • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune., • A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Santa Clara, CA location in the Vascular division. Abbott Vascular provides innovative, minimally invasive and cost-effective products for treatment of vascular disease. Our extensive portfolio includes drug-eluting stents, bare metal stents, guide wires, balloon dilatation catheters, imaging catheters and software, vessel closure devices and peripheral stents. The Sr. Research Scientist Provides scientific expertise throughout the development and implementation of clinical studies. Writes/manages clinical trial protocols, protocol amendments, clinical study reports, clinical trial registrations and results postings, clinical study project timelines and scientific publications. Interacts with various study support groups cross-functional teams in order to assist in clinical strategy, the development of plans, reports and project deliverables. Interacts with regulatory agencies as needed and will use their scientific and medical knowledge in order to provide strategic communication to staff as well as study sites as directed by your manager. What You’ll Work On • Facilitates development of clinical strategy and trial design by interacting with study PIs, key opinion leaders (KOLs) and collaborating cross functionally with other departments including Global Clinical Operations, Research & Development, Regulatory Affairs, and Biostatistics., • Writes, study protocols, protocol amendments, informed consents, study reports, scientific presentations and papers for publication by evaluating scientific literature, analyzing scientific data and staying abreast of current clinical practice., • Presents scientific data by communicating accurate, succinct summaries of clinical results at industry gatherings, investigational meetings and regulatory agency meetings., • Works collaboratively with R&D, Clinical R&D, Regulatory Affairs, Library Services, Product Performance Group (PPG), Quality Engineering, Clinical Affairs or Clinical Science, Risk Management, Clinical Project Management, external CROs or Medical Writers, Training, Marketing and Sales, Senior Management and investigational sites., • Conducts team meetings, drafting and sending routine correspondence (e.g., newsletters) and/or by presenting regular updates to senior staff., • Creates, manages, or participates in clinical study timelines, and budgets by utilizing the appropriate project management tools, selecting providers or external medical writers, managing vendor contracts as requested, and ensuring expenditures are within budgetary guidelines., • Throughout study, when appropriate, works cross functionally with clinical field teams and data management to identify missing data, uses metrics regularly to ensure data completeness., • May work closely with external groups, such as core laboratories, to assess and interpret data., • Facilitates regulatory submissions and communications by communicating with Regulatory Affairs during the submission process. Generate documents to support regulatory submission for product and/or respond to questions from regulatory authorities about existing submission., • Interprets results in preparation for product applications by evaluating clinical and scientific and risk data and literature, and staying abreast of current clinical practice., • Participates in and supports audits., • Comprehensive knowledge of a particular technological field., • Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships., • Is recognized as an expert in work group and across functions., • Will perform this job in a quality system environment., • Failure to adequately perform tasks can result in noncompliance with governmental regulations., • Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors., • Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Has broad knowledge of various technical alternatives and their potential impact on the business. EDUCATION AND EXPERIENCE YOU’LL BRING Required Experience • Bachelor’s degree in related field, • Minimum 8 years experience, • Experience in clinical trials, working in a regulated environment., • Experience in medical and scientific writing., • Comprehensive knowledge of a particular technological field. Preferred Experience • Familiarity with one or more data analysis software (such as Excel, Tableau, Power BI) is highly desirable., • PhD, MD, PharmD or MSN preferred, or BA/BS with an equivalent combination of education and work experience • Participants who complete a short wellness assessment qualify for FREE coverage in our HIP PPO medical plan. Free coverage applies in the next calendar year. Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ___ Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ___, on Facebook at ___ and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is $86,700.00 – $173,300.00. In specific locations, the pay range may vary from the range posted.

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Testing ScoreCard Automation Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at ___ and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: • Documents in alternate formats or read aloud to you, • Having interviews in an accessible location, • Being accompanied by a service dog LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: .

Innovate with purpose At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters. Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or working remotely, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks. BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another. ✨ Let’s give businesses more time for what matters. Make your impact within a rapidly growing Fintech Company We are looking for a talented, enthusiastic and dedicated person to join BILL’s Fraud Risk Strategy team. The incumbent will be responsible for leading key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. We’d love to chat if you have: • Minimum 3+ years of experience in end to end fraud risk control strategy experience within relevant industry experience in eCommerce, or online payments, leveraging data science/analytics to solve complex business problems., • Achieved ambitious business goals through design, creation, and execution of control strategies through direct work (complex analytical rule development, maintenance, etc) and in collaboration with Product Managers, Engineers, and Business Stakeholders., • Developed, maintained, and refined risk strategy frameworks for a domain to keep model strategy up to date with high performance with the goal of delivering on KPIs. Built and deployed data driven and automated monitoring rules to detect and quickly respond to evolving risk trends. Partnered with product/engineering on product/customer touchpoints for risk signal capture and treatments from strategies., • Utilized advanced analytics techniques to significantly contribute to the refinement of end to end control strategies, including experience in building complex SQL/Python scripts with minimal guidance to solve ambiguous problems. Expertise with interpreting results and using data findings to influence decision making., • Developed flexible performance dashboards and monitoring that drill to the right level of granularity to fit the audience, business needs; covering the breadth of control strategy . Hands on experience wrangling complex data in tools (ie. Tableau) with the focus to perform monitoring, diagnostic analytics, and share actionable stories with data., • Applied advanced knowledge of data, metrics, profiles/typologies and key indicators in the financial fraud risk domain. Demonstrated ability to find and recommend additional enhancements within data features, data enrichment, score recalibration for existing strategies and processes. Identify and execute new model/rules/product opportunities in order to optimize processes aligning with the business goals., • Experience in project leadership, partnering and collaborating with cross functional teams including modeling, product/engineering, operations to effectively design strategies across the lifecycle at multiple touchpoints. Establishing business requirements, shared KPIs, guiding execution, and performing validation/maintenance. Experience influencing cross functional team approaches. Mentorship and support of junior team members to achieve goals., • Nice to have: Experience applying AI to accelerate data science work by designing prompts, rigorously evaluating outputs, and integrating LLMs through APIs into notebooks and automated pipelines., • Bonus: Experience in experimental design, fraud typologies that involve onboarding fraud/abuse, and data/control governance, including proposal development, user acceptance definition, pre/post implementation validation, and approval workflows to ensure high quality deployments. Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future. The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits. San Jose pay range$110,200—$132,100 USD What’s in it for you? Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well. Here is a preview of some of the amazing benefits here at BILL: • 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP), • HSA & FSA accounts, • Life Insurance, Long & Short-term disability coverage, • Employee Assistance Program (EAP), • 11+ Observed holidays and wellness days and flexible time off, • Employee Stock Purchase Program with employee discounts, • Wellness & Fitness initiatives, • Employee recognition and referral programs, • And much more Don’t believe us? Check out our culture, benefits, and teams on our ___, ___, or ___ pages. BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture. We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact ___. Our ___ describes how BILL treats the personal information it receives from applicants.

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 world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Safety Evaluation team stands as the gatekeepers of safety, weaving expertise in data analysis and robust validation into the very fabric of our autonomous driving systems. We collaborate closely with engineers to ensure the evaluation of ML-heavy-systems rests on a foundation of safety principles. Our expertise seeps into every layer of our safety-critical systems, ensuring each decision made by our vehicles is rooted in rigorous analysis and sound judgment. Our work extends beyond assessment, venturing into the realm of innovation as we craft novel ML techniques uniquely tailored to the complexities of collision evaluation. Ultimately, our team paves the way for safer roads and a future where Waymo diver glides confidently through the complexities of the real world. As a Staff Data Scientist specializing in Safety Evaluation at Waymo, you'll play a critical role in ensuring the safety and reliability of autonomous vehicles. Your responsibilities will span the entire spectrum of data analysis, model development, and evaluation. While each day at Waymo is different, your primary responsibilities will include: • Develop safety evaluation frameworks that are critical to ML model improvements., • Design and implement robust data analysis pipelines and validation frameworks., • Develop and apply statistical methods and ML models to analyze historical/simulation data and assess safety performance., • Collaborate with cross-functional teams like Simulation and Planning to ensure comprehensive safety evaluation across the autonomous driving system. At a minimum we’d like you to have: • PhD in a quantitative field (IE Statistics, Mathematics, Physics), • 7+ years of industry experience solving large-scale complex problems, • Proven expertise using advanced statistical methods (e.g., ML models, hypothesis testing, causal analysis), • Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges), • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages, • Ability to take ambiguous and complex business requirements and propose a technical solution It’s preferred if you also have: • Experience solving problems related to Autonomous Driving, • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction, • Hands-on experience with Google infra tools like PLX, Borg, GCL, etc #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$238,000—$302,000 USD

Overview: The ideal candidate will using programming, math, and statistics to analyze large datasets and derive actionable insights, build predictive models, and communicate findings to stakeholders to solve complex business problems. Responsibilities: • Gathering and cleaning large datasets from various sources, ensuring data quality and standardization., • Sifting through data to identify trends, patterns, and anomalies to answer critical business questions., • Developing machine learning algorithms, creating reports and visualizations, and collaborating with teams to implement data-driven solutions that improve business processes and strategies., • Building, testing, and deploying machine learning and statistical models to forecast outcomes, optimize processes, and make predictions., • Presenting findings and complex technical concepts to both technical and non-technical stakeholders through clear reports and engaging data visualizations. Qualifications: • Advanced degree in Computer Science, Statistics, Math, or equivalent experience., • 8+ years in data science & ML., • Proficiency in ML techniques, SQL, Python/R, and big data frameworks., • Experience with AI agents, LLMs, and fraud detection tools., • Demonstrated leadership in impactful data science projects., • Strong communication and collaboration skills.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As a Data Scientist in the Fleet Systems and Insights team, you will play a critical role in optimising fleet operations through data-driven insights and operational research. You’ll help identify high-impact opportunities and guide strategic decision-making, driving improvements across the on-road testing lifecycle. Rather than focusing solely on black-box models, this role emphasizes using operational research techniques, experimental methods, and causal inference to derive actionable insights for operational efficiency and optimisation. This means you might: • Develop frameworks to synthesize complex operational data (e.g., vehicle performance, route optimisation, and experiments scheduling) to inform strategy at both the product and company level., • Identify key performance metrics for fleet operations and continuously refine them to ensure they align with wider business goals., • Create and apply novel experimental methodologies to enhance the signal-to-noise ratio and speed up feedback loops, improving operational decision-making and optimising use of on-road testing for ML advancements., • Combine experimental methods with causal inference techniques to test and optimise operational strategies., • 3+ years of experience in a Data Science role, with a focus on operations research, process automation and optimisation, or similar fields., • Proficient in querying and building large datasets, writing production-level SQL for data transformation pipelines., • Experience designing and evaluating real-world experiments (e.g., A/B testing) to optimize operations and performance., • Solid understanding of statistical principles, including hypothesis testing, distributions, and assumptions behind statistical methods., • Proficient in using a statistical scripting language (e.g., Python, R) and relevant packages (e.g., pandas, sklearn, statsmodels)., • Strong ability to summarize, visualize, and communicate data insights in a clear and compelling manner., • Proven track record of driving operational improvements and influencing team strategies with data-driven findings., • A focus on actionable insights that can directly inform fleet operations prioritization and optimization strategies., • Practical experience with machine learning and optimization techniques (e.g., pytorch, scikit-learn)., • Experience promoting statistical rigor and experimental best practices in previous roles., • Familiarity with causal inference, econometrics, or Bayesian methods for testing hypotheses in operations research., • Prior experience working with large datasets and distributed computing (e.g., Spark, Hadoop)., • Experience in a fast-paced tech or startup environment. This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-FH1 We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit ___ To learn more about what drives us, visit ___ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Who We Are: Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the team: The Data Science team at Nuro is a centralized team and contributes advanced analytics and modeling expertise to enhance the development and operational performance of autonomous vehicle systems. As a Data Scientist, you will define key metrics, perform deep-dive analyses, and develop machine learning and statistical models to optimize autonomy systems performance and software deployment. You’ll own the full model lifecycle, from problem definition to productionization, and create model and visualization to monitor the model and software performance and deliver actionable insights. By fostering data-driven decision-making across the organization, you’ll play a pivotal role in enabling real-world autonomous vehicle operations. Role Responsibilities: • Collaborate closely with cross-functional teams to collect information and work on defining metrics;, • Perform deep-dive analysis that informs how we manage and deploy our fleet of autonomous vehicles., • Design and build machine learning and statistical models that will take Nuro from vehicle testing to operating a service., • Own all stages of model development: problem definition, assessment of data quality, mathematical research, productionisation, documentation, and ongoing customer support., • Develop and maintain visualization dashboards to monitor and analyze operational performance metrics, providing actionable insights,, • Evangelize data-driven decision-making through the organization. Role Requirements: • MS required or PhD degree preferable in a Sciences major such as Statistics, Mathematics, Computer Science, Data Science, Operation Research or equivalent areas., • Hands-on experience with standard statistical methods such as linear and logistic regression, SVM, confidence intervals, and significance testing, along with expertise in causal inference analysis., • Expertise in writing custom SQL and experience with database design;, • Knowledge of a scripting language (R or python) to manipulate and analyze data and develop statistical models;, • Sound statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders., • Experience designing metrics and building mechanisms to fuel business insights., • Experience on data visualization tools such as Looker Must Haves: • Can play as end-to-end data scientist to manipulate the data for any reporting or modeling, build robust statistical analysis reports or dashboards, build models, and deliver the results to stakeholders, • Excellent communication skills. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $125,400 and $188,100 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Home screen and discovery products to influence the look and feel of the most visible parts of the Roku platform while connecting our users to the content they love. You will be tasked with identifying trends and providing actionable insights to make our team more efficient. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until September 27, 2025 [or until the position filled]. • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions, • Advise on key product development strategy decisions to drive our Home screen and discovery products, • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health, • Develop necessary data pipelines to power automation, validation and reporting, • Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests, • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform, • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities, • 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science), • 4+ years of experience in the product analytics. Experience with platforms in the media and entertainment industry preferred, • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis, • Demonstrated ability to influence quantitatively meaningful business outcomes, • Hands on experience with visualization tools like Tableau or Looker, • Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment, • Hands on experience in A/B testing and statistical modeling/forecasting #LI-EG1 Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ___. By providing your information, you acknowledge that you have read our ___ and authorize Roku to process your data subject to those terms.

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. We’re looking for a customer-obsessed data scientist to join our data team. You will be responsible for applying advanced statistical and machine learning techniques to solve complex business problems, translating data into actionable insights, and driving data-informed decisions across the organization. ESSENTIAL DUTIES AND RESPONSIBILITIES: * Develop and implement models: design, build, test, and deploy machine learning models to solve business challenges * Exploratory data analysis: conduct in-depth statistical analysis and visualizations to discover patterns, trends, and hidden insights in the data * Collaborate with Data Architects to develop robust data pipelines and create impactful features for model improvement * Communicate complex results, methodologies, and recommendations to both technical and non-technical stakeholders through presentations and data visualizations * Work closely with cross-functional stakeholders to translate business needs into technical requirements and deploy models into production systems * Drive innovation: stay up to date with the latest advancements in machine learning, deep learning, and statistical modeling, and propose new technologies or methods where appropriate. REQUIRED: * 4+ years of experience in data analytics, data science, or related field * Master’s degree in quantitative fields (Computer Science, Statistics, Mathematics, Engineering, or equivalent). SKILLS: * Technical skills: Strong proficiency in SQL; expertise in Python and/or R; Solid understanding of core machine learning principles, algorithms, and model validation techniques; experience with data visualization tools like Tableau, Power BI * Statistical analysis: deep knowledge of statistical hypothesis testing, experimental design, and multivariate analysis * Communication: Excellent written and verbal communication skills with ability to convey technical findings to non-technical audience Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "___” poster. Our pay transparency policy is available ___. Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at ___ to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 03/10/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-RG1 Compensation & Benefits Details • An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs., • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future., • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards., • We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program, employee stock purchase plan, and the Sandisk's Savings 401(k) Plan., • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Role: Data Scientist – Machine Learning Focus (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev Technologies Inc Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment. If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Job Description • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems., • Strong foundation in Python programming in a cloud environment., • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills, • Expertise in data wrangling using SQL,, • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes, • Fluency in querying/extracting/aggregating data via SQL scripting., • Extract, load and transform data (ETL) from structured and unstructured sources, • Apply Natural Language Processing and Computer Vision to solve business use cases,, • Strong skills in scientific data analyses, modeling, visualization and communication of results., • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction Must have • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others), • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization), • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM), • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.), • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.), • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras, • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest, • Distributed computing tools and cloud technology (AWS) Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 hours). Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Overview: We are seeking a highly motivated and detail-oriented Data Scientist to join our team. In this role, you will be responsible for analyzing large datasets to uncover insights, develop predictive models, and help guide strategic decisions across the organization. You’ll collaborate closely with business stakeholders, data engineers, and software developers to drive data-driven innovation and continuous improvement. Key Responsibilities: • Analyze structured and unstructured data using statistical, machine learning, and data mining techniques., • Build, validate, and deploy predictive and prescriptive models to solve business problems., • Communicate findings and insights clearly to both technical and non-technical stakeholders., • Design and implement experiments (A/B testing, multivariate testing) to evaluate new strategies or features., • Collaborate with engineering teams to deploy models and ensure scalable, real-time analytics., • Develop data visualizations, dashboards, and reports to monitor key metrics., • Advanced degree in Computer Science, Statistics, Math, or equivalent experience., • 8+ years in Data science and Machine Learning., • Proficiency in ML techniques, SQL, Python/R, and big data frameworks., • Strong SQL skills for data extraction and transformation., • Experience with AI agents, LLMs, and fraud detection tools., • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)., • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop) is a plus., • Solid understanding of statistics, machine learning algorithms, and experimental design.