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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 www.sitime.com. 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 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 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. We also offer a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off (PTO). OPT extension, H-1B visas and green card petitions are sponsored. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Description About the Institute of Foundation Models The Institute of Foundation Models (IFM) is 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 work at 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'll help build groundbreaking AI systems with the potential to reshape entire industries, and contribute to establishing MBZUAI as a global hub for high-performance computing and deep learning. About the role The Agents team trains advanced agentic language models that use reasoning and tool use to complete real tasks on a computer. This is a specialist role at the center of the loop that drives those models: the data we train on and the benchmarks we measure against. You'll own the agentic data pipeline end-to-end — sourcing and generating high-quality trajectories, tool-use data, and RL environments — and the evaluation suite that tells us, rigorously and reproducibly, what our agents can actually do. These two halves are inseparable: benchmarks expose where models fail, and targeted data closes the gap. The agents are only as good as the data they learn from and the evals that keep us honest, and this role owns both. This is a research scientist position for someone who wants depth in data and measurement rather than breadth across the whole stack. You should be the kind of person who reads through datasets line by line, distrusts a metric until it's been validated, and gets satisfaction from making an eval suite that nobody questions. Key responsibilities Benchmarking & evaluation Design and run evaluations of agentic capabilities — multi-step reasoning, tool use, long-horizon planning, computer use, and safety properties — turning ambiguous notions of "intelligence" into defensible, reproducible metrics. Build and harden evaluation harnesses so benchmarks run reliably at scale against training checkpoints, with clear signal on regressions and model health. Run experiments characterizing how prompting, sampling, scaffolding, and environment design affect agentic performance on internal and public benchmarks. Diagnose anomalous eval results mid-training-run — determine whether the cause is the model, the data, the harness, or the infrastructure — and communicate the answer clearly. Agentic data Source, generate, and curate high-quality agentic training data: trajectories, tool-use traces, and task datasets for new capabilities. Design and scale RL environments and reward signals, and measure their impact on model performance. Manage technical relationships with external data vendors and domain experts, evaluating data quality and iterating quickly on feedback. Develop QA frameworks that catch reward hacking, label noise, and contamination, keeping data and benchmark quality high. Across both Contribute to technical reports, research publications, and open-source benchmarks and tooling. Partner with research and product teams to translate capability goals into measurable data and evaluation artifacts. Qualifications Academic qualifications BS, MS, or PhD (or equivalent experience) in Computer Science, Machine Learning, or a related field. Minimum qualifications 2+ years of experience with a clear emphasis on evaluations and/or training-data curation for ML systems (related areas: LLM training/fine-tuning, RL, or distributed ML systems). Strong Python and PyTorch development experience. Demonstrated experience designing and deep-diving into evaluations, or curating and generating training datasets — ideally both. Hands-on experience using LLM agents in your personal or professional work. A habit of reading through raw data and trajectories to understand them and spot issues, and an instinct to distrust a metric until it's validated. Preferred qualifications Experience with reinforcement learning, reward design, or RL environment construction for LLMs. Background in statistics and experimental design — a feel for signal-to-noise, statistical power, and contamination in evaluations. Experience with large-scale dataset sourcing, curation, and processing, including working with external vendors or domain experts. Strong knowledge of the literature on agent evaluation, RL, LLM reasoning, and tool use. Experience building or operating data pipelines and evaluation infrastructure reliable at scale (e.g., PyTorch, Ray). Experience evaluating or generating data for software-engineering or computer-use agents. Contributions to published research, public benchmarks, and/or open-source ML software. Representative projects Stand up a new agentic benchmark from scratch — define the task, build the dataset and scoring, validate against known signals, and ship a view that makes the result legible to researchers and leadership. Build an RL environment for a new high-value capability: design the reward, generate and QA the trajectory data, and measure the lift on model performance. Diagnose a mid-training regression: an eval suite returns anomalous numbers and you determine whether it's the model, the harness, the data, or the infrastructure. Partner with an external data vendor or domain expert to source high-quality trajectories, then build the QA framework that keeps reward hacking and contamination out. Take a flaky distributed eval pipeline and make it reliable — better retries, better observability, faster feedback to researchers. Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. We encourage you to apply even if you don't meet every qualification listed. Strong candidates rarely match every line, and we'd rather hear from you than have you rule yourself out.

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, • Preferred: PhD or equivalent research experience in Natural Language Processing Professional 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)., • 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)., • Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).Salary depends on level.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job Description About 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 QualificationsMSc/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). Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs.

Job DescriptionAbout Workato Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities Workato's AI Research Lab is seeking an exceptional Lead AI Research Scientist to join our growing team and define the next generation of enterprise AI systems. This is a research-first role focused on redefining and advancing enterprise AI, with an emphasis on real-world impact for developers. In this role, you will set and execute a 24-month research vision spanning deterministic planners, self-healing automations, retrieval-augmented workflow graphs, and agent evaluation frameworks, while ensuring these innovations translate into real-world impact. The ideal candidate brings deep technical expertise alongside a strong record of execution. You will build, lead, and mentor a team of applied researchers and interns, fostering a culture of technical excellence, strong authorship, and open scientific contribution. This role will define and drive forward-looking research initiatives while bridging the gap between cutting-edge innovation and production-ready enterprise solutions. You will partner closely with Product and Engineering teams to productionize prototypes within six months of proof of concept and engage directly with lighthouse customers to validate ideas and convert insights into scalable reference architectures. In this role, you will also be responsible to: Defining a 24-month research roadmap focused on automated agent building and optimization. goal based agent deign, synthetic data, automated postraining and RL, eval techniques, model optimizaiton Hiring, coaching, and inspiring a team of 10+ applied researchers and interns; fostering a publication-quality bar and culture of open science. Publish peer-reviewed papers and secure patents that differentiate Workato in enterprise AI. Partner with Product and Engineering to productionize prototypes within six months of proof of concept. Engage lighthouse customers to validate research and convert learnings into reference architectures. RequirementsQualifications / Experience / Technical Skills MS/PhD in Computer Science, Machine Learning, or a related field. 5+ years leading applied research teams. Hands-on experience with PyTorch or JAX and modern LLM frameworks. Proven track record of transitioning research into production within large-scale systems. Strong publication record in top-tier ML venues (NeurIPS, ICML, ICLR). Hands-on experience with large-scale model training, transformer architectures, reinforcement learning techniques, and CUDA. Deep expertise across structured and unstructured enterprise data modalities. This role is onsite in our SF Office Soft Skills / Personal Characteristics Clear communicator able to translate complex research into business value. Ability to explain complex ideas to non-experts. Inspirational leader who attracts, mentors, and retains top talent. Comfortable making decisions in a fast-moving, on-site lab environment. Collaborative mindset; thrives at the intersection of research and product. Experience operating in high-growth startup environments. For California applicants, the pay for this role begins at $357,000 plus variable, benefits, perks and equity. (REQ ID: 2730)

Job DescriptionCompany Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL. Job Description As a Research Scientist- Robotics AI, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: • Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc., • Push the boundaries in AI based Robotics, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability., • Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration., • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms., • Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events., • Document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2 years industry experience after graduation., • A minimum of 3 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning., • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust)., • Strong interpersonal, communication, and teamwork capabilities., • Knowledge of major machine learning frameworks like TensorFlow or PyTorch., • Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG)., • A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences. Preferred Qualifications • Experience with real-world product development and deployment of autonomous systems., • Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models., • Hands-on experience in computer vision and deep learning, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation. Additional Information We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. #LI-JM1

Job DescriptionCompany Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL. Job Description As a Research Scientist- Vision-Language-Action (VLA) Models, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: • Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc., • Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability., • Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration., • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms., • Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events., • Document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2 years industry experience after graduation., • A minimum of 3 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning., • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust)., • Strong interpersonal, communication, and teamwork capabilities., • Knowledge of major machine learning frameworks like TensorFlow or PyTorch., • Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG)., • A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences. Preferred Qualifications • Experience with real-world product development and deployment of autonomous systems., • Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models., • Hands-on experience in computer vision and deep learning, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation. Additional Information We offer a competitive base salary for this position with a range in US-California of --$165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. #LI-JM1

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., • Prior contributions to open-source ML research or data tools.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job Description Location - Michigan & Santa Clara About SiTime SiTime is the Precision Timing company. Timing is the heartbeat of all electronics, ensuring performance, resilience and scalability. For decades, quartz devices, non-silicon technology, have kept systems in sync, but they struggle in harsher, more demanding environments. MEMS-based Precision Timing delivers greater accuracy, smaller size and resilience. Today, MEMS timing powers over 400 applications, including high-growth ones in AI datacenters, automated driving, industrial and humanoid robots, wearables and IoT. 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 4 billion devices shipped, SiTime is changing the timing industry. For more information, visit: visit www.sitime.com. 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 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., • Drive and/or support projects and other company goals as needed. Requirements & Qualifications: • 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., • Ability to work well with others in a collaborative fast-paced team environment. Desired Characteristics & Attributes: • 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 $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 DescriptionCompany Description Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, and engineering rigor, you’ll feel right at home here. Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle. What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe. Imagine the possibilities. Let’s explore them together. Job Description Join our Advanced Microscopy team and play a key role in solving complex materials and semiconductor challenges using cutting-edge Transmission Electron Microscopy (TEM). We are seeking talented Scientists who are passionate about hands-on analysis, advanced characterization techniques, and delivering impactful results for clients across a wide range of industries. In this production focused role, you'll spend significant time operating state-of-the-art TEM instrumentation, analyzing advanced materials, and providing high-quality, site specific insights that drive critical client decisions. The ideal candidate is a technically strong contributor who thrives in a fast-paced laboratory environment, enjoys working directly with sophisticated tools, and takes pride in delivering accurate, timely results while meeting client expectations. The TEM Scientist will be responsible for: • Partnering with team members to provide high quality analysis service to clients., • Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples., • Developing TEM analysis protocols/techniques to meet clients’ requests., • Creating summary reports to capture the project objectives, analysis data and interpretation of the results. A typical day would involve- • Operating the TEM tools (FEI or JEOL electron microscopes) and collecting TEM/STEM images based on customers' requests., • Performing elemental analysis such as EDS/EELS (collecting/process the data and creating the reports)., • Engaging in discussions with customers to solve their questions and concerns. Work Schedule: *5pm-2am, Tuesdays to Saturdays OR Sundays to Thursdays *Shift differential will apply Qualifications • PhD in Materials Science and Engineering or related field., • Must have 3yrs+ hands-on experience in TEM analysis characterizing a variety of materials., • Excellent understanding of the operations and principles of TEM tools., • Expert background in electron microscopy, including TEM/STEM, SAED, 4D-STEM, EDS and EELS., • Excellent communication skills (written, verbal and presentation). What would set you apart: • Familiarity with FEI and JEOL electron microscope tools., • Experience with semiconductor chip products and wafer samples is a plus. Additional Information Compensation is aligned with market standards for the region and tailored to individual qualifications and experience. Physical Requirements • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours)., • Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead., • Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting., • Ability to handle small and fragile devices with tweezers and /or fingers., • Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)., • Must be able to remain in a stationary position 80% of the time. The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 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 while you work 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., • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. Benefits & Perks to Foster Work/Life Balance ✓ 401k Company Matching ✓ Wellness Program ✓ Volunteer Time off ✓ Education Assistance ✓ Fitness Reimbursement ✓ …and more! 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. Learn more about us at www.EAG.com and check out our Careers’ page for other opportunities! 67081 Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.

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 SummaryAs a Research Scientist in the Vision Language Model (VLM) team, your role will be central to advancing state-of-the-art multimodal foundation models that integrate visual understanding, reasoning, and agentic capabilities. You will work on the research and development of large-scale VLM systems, spanning model architectures, data recipes for pre-training and post-training, and evaluation benchmarks. The role combines cutting-edge research with practical engineering, emphasizing large-scale data processing, filtering, and weighting pipelines, distributed training systems, and reinforcement learning algorithms and systems for multimodal reasoning and agent development.Key Responsibilities Research and development of next-generation Vision Language Models across pre-training, instruction tuning, reasoning, and agents. Develop novel architectures and training methodologies for integrating visual understanding, language reasoning, and tool-use capabilities. Research efficient multimodal learning techniques, including data-efficient training, long-context modeling, model modularity, and inference optimization. Build and improve large-scale multimodal datasets, synthetic data generation pipelines, and evaluation benchmarks for VLM capabilities. Investigate multimodal reasoning, agentic behavior, OCR, grounding, document understanding, chart understanding, and visual question answering capabilities. Contribute to technical reports, research publications, and open-source software. Represent MBZUAI at research conferences and industry events, showcasing advancements in multimodal foundation models and large-scale AI systems. Mentor junior researchers and collaborate across teams to drive impactful research initiatives. Academic QualificationsPhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI.Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Professional ExperienceMinimum Experience working with large language models and/or vision-language models, including pre-training, fine-tuning, evaluation, or inference. Strong Python and PyTorch development skills for large-scale machine learning research. Experience with distributed training systems and large-scale model optimization. Familiarity with multimodal datasets and data processing pipelines involving images, text, and video. Understanding of modern deep learning architectures, including Transformers, attention mechanisms, and multimodal fusion techniques. Experience with ML infrastructure, including model evaluation, debugging, optimization, and large-scale experimentation. Problem-solving and research skills with the ability to independently drive research/engineering projects. Effective communication and collaboration skills for working across research and engineering teams. Preferred Skills Hands-on experience training or fine-tuning large Vision Language Models or multimodal foundation models at scale. Experience with distributed learning frameworks and infrastructure such as PyTorch Distributed, Megatron, Triton, or CUDA. Research experience in multimodal reasoning, agentic systems, tool use, OCR, grounding, document understanding, or multimodal retrieval. Experience with synthetic data generation, multimodal data curation, or automated evaluation frameworks for VLMs. Familiarity with efficient training and inference techniques such as FlashAttention, quantization, tensor parallelism, pipeline parallelism, or memory optimization. Experience contributing to open-source ML software and large-scale research codebases. Strong publication record in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, or related venues. Experience collaborating across research, infrastructure, and product-oriented teams to deliver state-of-the-art multimodal systems.

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., • Development of dashboard and visualizations to track KPI of fraud strategies implemented. Requirements: • 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 Description The Scientist, Reagent Manufacturing & Quality Control (QC), is responsible for the production, characterization, and release testing of enzymes and critical reagents to support internal R&D activities and external diagnostic kit manufacturing, including in vitro diagnostic (IVD) products. This role is instrumental in ensuring that reagents meet performance, quality, and regulatory requirements. The position is highly hands-on and requires execution of controlled manufacturing processes, analytical testing, and rigorous documentation practices to support design control, traceability, and regulatory compliance. The scientist will work cross-functionally to support assay development, verification/validation activities, and manufacturing readiness. Key Responsibilities IVD Reagent Manufacturing • Prepare and manufacture buffers and reagents under controlled processes to support IVD product development and commercial manufacturing, • Execute batch production with full traceability, including raw materials, lot tracking, and process documentation, • Support scale-up and technology transfer activities for reagent manufacturing Protein Expression & Purification • Perform recombinant protein expression and purification using validated workflows, • Ensure batch-to-batch consistency and reproducibility of critical reagents, • Support process characterization and robustness studies required for design and validation Quality Control (QC) & Release Testing • Perform QC and release testing of enzymes and reagents against defined specifications, • Generate, review, and approve QC data packages to support lot release, • Identify and investigate out-of-specification (OOS) or out-of-trend (OOT) results Design Control & Validation Support • Support reagent characterization studies for design verification and validation (V&V), • Contribute to defining reagent specifications, acceptance criteria, and stability protocols, • Assist with preparation of technical documentation for regulatory submissions (e.g., CE-IVDR technical files) Documentation, Traceability & Regulatory Compliance • Maintain complete and accurate documentation in accordance with QMS requirements (e.g., ISO 13485, CE-IVDR), • Ensure compliance with Good Manufacturing Practices (GMP) and controlled documentation systems, • Support deviation investigations, root cause analysis, CAPA, and change control processes, • Contribute to audit readiness (internal, notified body, and regulatory inspections) Laboratory Operations & Equipment Management • Operate, maintain, and qualify laboratory equipment used in reagent manufacturing and QC testing, • Maintain calibration, maintenance, and equipment logs in compliance with QMS requirements, • Manage inventory of raw materials, critical reagents, and consumables with appropriate controls Cross-Functional Collaboration • Collaborate with assay development, clinical, regulatory, and manufacturing teams to ensure reagent performance meets product requirements, • Support integration of reagents into validated IVD workflows, • Participate in risk assessments (e.g., FMEA) related to reagent performance and manufacturing processes Requirements Required Qualifications • B.S. or M.S. in Biochemistry, Molecular Biology, Protein Chemistry, or related field, • Minimum 3+ years of experience in reagent manufacturing, protein production, or QC testing in a regulated or semi-regulated environment, • Hands-on experience with protein expression and purification workflows, • Familiarity with analytical and QC methods (e.g., HPLC, qPCR, UV-Vis spectroscopy), • Understanding of assay-critical reagent performance and variability drivers, • Working knowledge of documentation standards and quality systems, • Strong attention to detail, data integrity, and traceability, • Ability to execute within a controlled quality system and follow SOPs strictly, • Strong problem-solving and troubleshooting capabilities, • Effective communication in cross-functional and regulated environments, • Familiarity with reagent stability studies and shelf-life determination Preferred Qualifications • Experience in IVD product development, particularly under CE-IVDR or ISO 13485 environments, • Experience supporting design control, verification/validation (V&V), and technical documentation, • Experience with enzyme manufacturing for molecular diagnostics (e.g., NGS, PCR-based assays), • Prior exposure to audits or regulatory inspections

Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis: understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows., • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions., • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology., • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions., • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications., • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation., • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting., • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows., • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools., • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling., • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools., • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility., • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems., • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria., • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates., • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate., • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure., • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required., • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role., • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring., • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements., • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems., • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users., • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure., • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices., • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies., • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies., • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores., • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred., • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories., • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems., • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams., • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems., • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems., • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar., • Experience with visualization or dashboarding tools for model quality analysis., • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing., • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits, • Bonus, • 401K plan, • Generous paid time off, sick leave, and holidays, • Paid parental leave, • Employee assistance program, • Life insurance and disability insurance

Job DescriptionAbout Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We’re seeking a highly skilled Data Engineer to design, build, and maintain production-grade data pipelines that process and transform terabytes of data. In this role, you’ll collaborate closely with data scientists and other SWEs to ensure that our data infrastructure is scalable, reliable, and cost-effective. Responsibilities • Pipeline Development & Deployment:, • Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized workflows for cyber-security use-cases., • Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts., • Distributed Computing:, • Build high-throughput data transformations using Dask or Apache Spark., • Maintain training data clusters across hybrid (on-prem and cloud environments)., • Optimize training jobs for performance, resiliency, and cost., • Monitoring & Reliability:, • Implement observability (logging, metrics, alerting) to maintain pipeline health and SLA adherence., • Troubleshoot, debug, and resolve data-processing failures in production., • Collaboration & Best Practices:, • Work with cross-functional teams to define data contracts, schemas, and quality checks., • Enforce software engineering best practices: CI/CD, code reviews, automated testing, and documentation., • Data Modeling & Storage:, • Design and maintain data models and schemas for AI/ML continuous training use cases., • Load data into cloud storage and lakes, ensuring performance and accessibility. Requirements Qualifications • 3–5 years of professional experience designing and operating production data pipelines at scale., • Containerization & Orchestration: Expertise with Docker, Kubernetes, and Helm., • Workflow Management: Hands-on experience building DAG-based pipelines in Apache Airflow., • Programming: Strong proficiency in Python for data engineering tasks., • Distributed Frameworks: Practical experience with Dask or Apache Spark for large-scale data processing., • Cloud Fundamentals: Familiarity with deploying and managing services in a cloud environment., • Compiled Languages: Experience writing data services in Go or Rust., • GCP Proficiency: Hands-on with Google Cloud services (e.g., Pub/Sub, Big Query, Cloud Storage, GKE). Equivalent experience in other public cloud providers is fine., • ML Pipelines: Exposure to deploying cross-cluster model-training workflows using Ray or similar frameworks., • Infrastructure as Code: Familiarity with Terraform for deployment., • Security & Compliance: Knowledge of data governance, encryption, and role-based access control. Location: United States *Applicants must be authorized to work in the US The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $150,000 to $220,000. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs. Benefits Why Versa? At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do., • Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job DescriptionJob Description Hi, Job Title: Sr Applied Scientist - Allocation Optimization Location: Irvine, CA and remote acceptable too Duration: 9 months Contract We have below longterm job opening. If you are interested , Please send your updated resume with below details. Your current location: Visa status: Availability: Expected rate all inc on c2c /1099 : Scope: Hands-on mathematical optimization for regional store allocation Extend existing constraint-based, multi-objective allocation framework to new regional store configurations Adapt models to regional business rules (store capacity, presentation minimums, lead times, clearance logic) Model retraining and tuning per region as stores come online Support explainability outputs for regional business teams Required: Mathematical optimization (linear programming, constraint satisfaction, multi-objective) Python (PuLP, OR-Tools; Gurobi familiarity a plus) Retail inventory allocation and replenishment logic SageMaker, Lambda integration Comfortable in a federated data architecture (central model code, regional data) Preferred: Operations research background Experience scaling optimization models across geographies Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description POSITION OVERVIEW We are seeking a highly motivated Research Scientist to lead technology research efforts focused on the development of novel genetic and epigenetic molecular assays. This role offers an excellent opportunity for a hands-on molecular biologist to apply deep technical expertise in a dynamic, fast-growing biotechnology company. The successful candidate will work closely with senior scientific staff and cross-functional R&D teams to drive experimental design, execution, and data interpretation in support of innovative assay development. RESPONSIBILITIES • Under the guidance of senior scientific staff, propose, design, and execute experimental studies to advance new molecular assay technologies, • Analyze and interpret experimental data with strong scientific rigor and critical thinking, • Prepare and present research findings to management and the broader R&D organization, • Collaborate effectively with cross-functional R&D teams to support project execution and development timelines, • Maintain accurate, detailed, and compliant experimental documentation through high-quality laboratory notebooks and data records, • Manage multiple priorities with flexibility to meet time-sensitive project milestones and organizational objectives, • Stay current with scientific literature, emerging technologies, and advances in the field, • Contribute to intellectual property development, including invention disclosures and patent filings Requirements QUALIFICATIONS • Ph.D. in Molecular Biology or a related field with 1–2 years of post-doctoral or industry experience, or M.S. in Molecular Biology or a related field with 7+ years of relevant industry experience • Strong creative thinking and problem-solving abilities with exceptional attention to detail, • Self-motivated, results-driven, and capable of independently driving projects forward, • Solid foundation and broad knowledge in molecular biology and genomics, • Hands-on experience with next-generation sequencing technologies and methylation-based assays and analyses., • Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, cross-disciplinary environment Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Paid Time Off (Vacation, Sick & Public Holidays)

Job DescriptionSalary: $140,000 - $160,000 About Oxford Biotherapeutics: Oxford Biotherapeutics is a clinical-stage biotechnology company focusing on the development of antibody therapeutics for the treatment of cancer.OBTsOGAP-verify platform is the world's largest, cancer specific, membrane protein library, directly measuring plasma membrane protein expression in patienttumors. OGAP is used to identifynovel, highlytumorspecific antigens for novel first-in-class ADC, T-cell Engager (TCE)and Chimeric Antigen Receptor (CAR-T) targets. Our lead asset, OBT076, is an Antibody Drug Conjugate (ADC) in Phase 1b clinical development. Our clinical and pre-clinical pipeline of novel biologics is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such asRoche,GSKand Zymeworks. Job Description We areseekinga highly motivated and intellectually curious T-Cell Biologist to join our discovery research organization. This individual will playa central rolein advancingT-cellengagers by generating high quality, decision driving data from early discovery through IND. The role blends hands on experimentalexpertisewith scientific leadership, assay innovation, and cross functional collaboration. Depending on experience, this role may be filled at theScientist orSenior Scientist level. Responsibilities will include, but are not limited to, the following: Scientific Leadership & Program Execution • Design, execute, and lead in vitro functional studies supporting target discovery, validation, lead selectionand optimization, and preclinical development of Tcell engagers., • Develop,optimize, andrunTcellfunctional assays to inform potency, selectivity, and safety.(e.g., cytotoxicity, cytokine release, activation, immune profiling, reporter assays)., • Design and runcocultureassays to evaluateTcellmediated tumor cell killing in response toTcellengagers., • Design and executeprimary humanTcellassays, including activation,cytokine release,T-cell exhaustion,mixed lymphocyte reaction assays and proliferation. Generate and interpret complex datasets with a strong emphasis on scientific rigor, reproducibility, and data quality., • Builddecision-focuseddata packages and communicate clear scientific conclusions and recommendations to project teams, management, and external collaborators. Assay Development & Technical Expertise • Develop and execute multiparameter flow cytometry, includingactivationand intracellular cytokine staining., • Design and performreal-timecytotoxicity assays (e.g., IncuCyte, eSight) and other functional readouts relevant to Tcell engager activity., • CharacterizeTcellengagers usingcellbasedfunctional assays, including cytokine release and cytotoxicity., • UnderstandvariousTCE formatsandimprove tumor-specific killing efficacy. Collaboration &CrossFunctionalEngagement • Collaborate closelyacrossteams toevaluateandoptimizeT-cell engager molecules., • Coordinate with external collaborators and CROs to deliver high quality, timely data., • Proactivelyidentifyproject risks, propose mitigation strategies, and communicate progress and challenges clearly to stakeholders. Innovation & External Awareness • Monitor the scientific literature and competitive landscape relevant toT-cell engagers and emerging immuneredirecting modalities., • Propose innovative experimental approaches to accelerate early-stagediscovery., • Serve as an internal subjectmatter expert inTcellimmunobiology and immune redirecting therapies., • Monitor the scientific literature and competitive landscaperelevant to OGAP-selected targets. Team Leadership & Culture • Foster a culture of scientific rigor, learning, transparency, accountability, and inclusion., • Act as a scientific thought leader within the research organization. Compliance & Documentation • Adhere to OBTs Quality Management System (QMS), including SOPs, documentation standards, electronic lab notebooks, and required training., • Support audit readiness and contribute to continuous improvement of laboratory systems and workflows. Required Qualifications and Skills: • Deep expertise in Tcell immunobiology, with handson experience working with Tcell engagers and/or bispecific antibody formats., • Strong hands-on experience with core immunology techniques, including:, • PBMC and primary human T-cell isolation, culture, and functional assays, • Multiparameter flow cytometry and panel design, • Intracellular cytokine staining & other flow-based assays, • Cell-based reporter assays, • Demonstrated ability to design, analyze, and interpret complex datasets and translate results into clear scientific conclusions., • Strong written and verbal communication skills, with the ability to present data to multidisciplinary audiences., • Combines a humble, teamoriented mindset with the ability to form and voice clear, independent viewpoints. Scientist Level • PhD with 13 years of relevant postPhD experience, or, • MS with 57 years of relevant industry experience in immunology, cell biology, or biologics discovery Senior Scientist Level • PhD with 46 years of relevant postPhD experience, or, • MS with 812 years of relevant industry experience demonstrating increasing scientific independence and technical leadership Preferred Qualifications and Skills: • Experience contributing to biologics discovery programs from early discovery through lead optimization and/or preclinical development., • Track record of scientific impact demonstrated through publications, patents, presentations, or program advancement., • Experience with both traditional and homogeneous ELISAderived platforms, including AlphaLISA and/or multiplex systems such as Luminex. Oneofourtopprioritiesistomaintainthehealthandwellbeingofouremployeesandtheirfamilies.Toachievethisgoal,weoffercomprehensivebenefits. BenefitsOffered: • Medical,dentalandvisioninsuranceforemployeeanddependents, • FSA(FlexibleSpendingAccount), • STD,LTD,BasicLifeandAD&DInsurance,SupplementalLife, • 401(k)Plan, • 120hoursofPaidTimeOff, • 5sickdaysperyear, • 11holidays, • EmployeeReferralBonusProgram, • Annualbonusprogram, • Newhirestockoptions EqualOpportunitiesStatement 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 for employment. 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

Job Description About Oxford Biotherapeutics: Oxford Biotherapeutics is a clinical-stage biotechnology company focusing on the development of antibody therapeutics for the treatment of cancer. OBT’s OGAP-verify® platform is the world's largest, cancer specific, membrane protein library, directly measuring plasma membrane protein expression in patient tumors. OGAP is used to identify novel, highly tumor specific antigens for novel first-in-class ADC, T-cell Engager (TCE) and Chimeric Antigen Receptor (CAR-T) targets. Our lead asset, OBT076, is an Antibody Drug Conjugate (ADC) in Phase 1b clinical development. Our clinical and pre-clinical pipeline of novel biologics is balanced between internal programs, focused on ADCs and checkpoint regulators, and externally partnered programs with key innovators in oncology such as Roche, GSK and BMS. Job Description OBT is seeking an experienced, creative and motivated associate scientist to contribute to our company's Discovery Biologics Protein Science group. Work independently, and in a matrix, to lead the development of antigen antibodies against novel targets discovered by Oxford Biotherapeutics, headquartered in the UK. The successful candidate will be involved in multiple aspects of the production of recombinant proteins, monoclonal antibodies, multi-specific scaffolds, and novel protein modalities to enable all aspects of Early Discovery and Validation Research. Responsibilities will include, but are not limited to, the following: • Be a contributor to the discovery and development of antibody therapeutics for oncology and immune oncology for novel targets., • Support recombinant protein and bi- and multi-specific antibody discovery plans (immunogen design, assay development, screening, and functional characterization methods), • Support biological discovery through different platforms of protein and antibody discoveries., • Responsible for various target projects to execute protein production, purification and antibody discovery/optimization in various platforms. Specifically, Produce and purify novel and logic-gated alternative format antibodies using mammalian expression systems utilizing an assortment of molecular biology & biochemical techniques (i.e. AKTA systems and other chromatographic columns)., • Generate target over-expressing cell lines for antibody discovery work., • Develop strategies to express, purify, and analyze proteins for novel tumor targets expressed in mammalian cells., • Perform purification using AKTA/HPLC systems and maintain equipment., • Conduct antibody characterization of antibodies including binding affinity and binding kinetics through Octet/Biacore, epitope binning/mapping, and functional assays., • Troubleshoot experimental issues with guidance; contribute to process and assay transfers., • Mentor lower-level colleagues and assist in scientific optimization & development., • Analyze data, interpret results, identify problems, and develop trouble-shooting plans, • Maintain accurate documentation and follow laboratory safety procedures., • Knowledge of the biologics drug discovery process and representation of the protein science function at project team meetings., • Compliances with data management, laboratory notebook policy, and laboratory safety. Please note the roles and responsibilities for the position include but are not limited to the above Required Qualifications and Skills: • PhD in biological sciences or a related field, including candidates who are completing or have recently completed their PhD, with demonstrated experience in relevant research areas; or MS with 5+ years; or BS with 8+ years of relevant experience in the biopharmaceutical industry or a closely related scientific discipline, preferably in a fast-paced biotech or startup environment., • Experience in molecular biology or/and biochemistry, including gene manipulation, subcloning, expression vector modifications, and protein expressions in HEK & CHO cell systems, • Extensive experience in human protein and antibody purification techniques, including affinity chromatography, Mixed mode chromatography, Hydrophobic Interaction Chromatography (HIC), Ion Exchange Chromatography (IEX), and Size Exclusion Chromatography (SEC). Proficiency in operating and troubleshooting modern chromatography hardware and software, such as Cytiva AKTA systems and Agilent HPLC and UPLC. Preferred Qualifications and Skills: • Experience in developing and optimizing recombinant proteins and bi- and multi-specific antibody formats across multiple parameters., • Antibody drug discovery experience for immune oncology in biopharmaceutical industry is a plus., • Ability to independently manage projects and deliver results on stringent timelines with high quality is 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 for employee and dependents, • FSA (Flexible Spending Account), • STD, LTD, Basic Life and AD&D Insurance, Supplemental Life, • 401(k) Plan, • 120 hours of Paid Time Off, • 5 sick days per year, • 11 holidays, • Employee Referral Bonus Program, • Annual bonus program, • New hire stock options 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 for employment. 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

Job DescriptionCompany Description Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you’ll feel right at home here. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of—and what the world can build next. If you’re energized by materials science, analytical chemistry, and engineering rigor, you’ll feel right at home here. Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle. What sets EAG apart isn’t just our world‑class instrumentation—it’s our people. We’re problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe. Imagine the possibilities. Let’s explore them together. Job Description EAG Laboratories is seeking a skilled Scientist to support our Atom Probe Tomography (APT) services. 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 APT team and contribute to high-impact analytical services. You’ll play a key role in specimen preparation, data collection, and analysis to support the APT service at EAG. The job also requires the ability to work with high demanding semiconductor clients, meeting tight deadlines, and addressing challenging technical questions. A typical day will consist of various activities, including: • Collaborate with team members to deliver high-quality APT analysis to clients, • Prepare APT specimens using Focused Ion Beam (FIB), • Operate the CAMECA LEAP instrument for data acquisition, • 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”), • Political Asylee or Refugee Work Schedule: Monday to Friday, 8:00am – 5:00pm Qualifications • MS or PhD degree in Materials Science and Engineering or a related field, • Minimum 2 years of hands-on experience with Atom Probe Tomography, • Experience preparing samples using FIB for APT or 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: • Experience with transmission electron microscopy (TEM), • Familiarity with automated specimen fabrication using FIB/SEM systems, • Experience and knowledge with semiconductor technologies and processes, • Experience with APT data analysis using customized coding programs 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., • Learn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota. The essential physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 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., • Diversity & Authenticity: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. Benefits & Perks to Foster Work/Life Balance: ✓ 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 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., • Hands-on experience training language/mutli-modal models from scratch. Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

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 are seeking a highly skilled and forward-thinking Staff Data Scientist with 5–7 years of experience in AI/ML, Generative AI, and Agentic AI systems to join our Advanced Supply Chain Analytics team. This role will focus on developing intelligent, autonomous, and self-orchestrating systems that enhance forecasting, planning, and operational decision-making across the global supply chain. The ideal candidate will have hands-on experience with LLMs, LangChain, multi-agent frameworks, and cloud-based ML engineering (AWS). You will design scalable, production-grade AI solutions, collaborating closely with cross-functional teams to accelerate our digital and supply chain transformation journey. ESSENTIAL DUTIES AND RESPONSIBILITIES: AI/ML, Generative AI & Agentic AI Development • Design, build, and deploy AI/ML models for Supply Chain Planning (Demand Planning, Product Planning, Capacity planning, Inventory optimization, and production scheduling)., • Develop multi-agent and generative AI-powered systems (using LLMs and frameworks like LangChain, AutoGen, CrewAI) to enable real-time decision orchestration and intelligent automation., • Prototype intelligent assistants that interpret complex workflows, automate tasks, and generate data-driven recommendations for supply chain planners., • Implement autonomous agentic workflows that integrate insights across multiple enterprise systems (SAP, Blue Yonder, MES, Dynamics, etc.). Engineering & MLOps • Build and maintain scalable AI/ML pipelines using Python, Pandas, Neural Prophet, SQL, Spark, and AWS tools (S3, Lambda, SageMaker)., • Utilize containerization (Docker) and orchestration (Kubernetes) for deployment of multi-agent applications., • Apply MLOps best practices — CI/CD, model versioning, monitoring (Grafana, CloudWatch), and drift detection. Cross-Functional Collaboration • Work with Planning, Procurement, Manufacturing, IT, and Engineering teams to identify and prioritize use cases for automation and decision augmentation., • Present technical solutions, demonstrate prototypes, and communicate insights effectively to senior stakeholders. Innovation & Continuous Improvement • Lead the exploration and adoption of Agentic AI frameworks for autonomous planning and execution in supply chain functions., • Stay current with emerging technologies in AI/ML, GenAI, and distributed intelligence systems., • Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency. Qualifications REQUIRED: • Master’s or PhD in Computer Science, Data Science, Statistics, or a related quantitative field with a focus on AI/ML., • 5–7 years of experience in AI/ML model development and deployment, preferably in supply chain or manufacturing environments., • Demonstrated success in designing and deploying LLM or agent-based systems for automation or optimization. SKILLS: • Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)., • Hands-on experience with LLMs, LangChain, Agentic AI frameworks (e.g., AutoGen, CrewAI, BabyAGI)., • Proficiency with Docker, Kubernetes, MLflow, Airflow, and GitHub., • Familiarity with AWS services and observability tools like Grafana and CloudWatch., • Exceptional communication, stakeholder management, and problem-solving skills., • Proven leadership in cross-functional, innovation-focused environments. Domain Expertise: • Strong understanding of supply chain systems (SAP, BY ESP, MES) and planning processes (MEIO, IBP, factory build planning). Why Join Us? • Shape the future of Agentic and Generative AI-driven Supply Chain Transformation., • Collaborate with global teams driving large-scale operational excellence., • Work with cutting-edge AI tools to solve complex, real-world problems at enterprise scale. 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 jobs.accommodations@sandisk.com 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 10/02/2026 (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-RT1 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 DescriptionDescriptionThe Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. He/she leverages Align’s digital clinical database to develop and deliver data-driven insights and advanced ML/AI solutions, metrics, and recommendations to assist teams to drive the company’s product development roadmap and transform the orthodontic world with the Invisalign product. Role expectations • Act as a senior data science expert within R&D, partnering with cross-functional teams across software, clinical, and research domains, • Drive product innovation by leveraging clinical and operational data through statistical analysis, data insights, and advanced ML/AI techniques, • Own the end-to-end analytics and ML lifecycle, from problem definition and hypothesis development to deployment and impact evaluation, • Apply full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation, • Design and develop advanced ML or Agentic AI solutions, including systems that integrate LLMs with domain data and existing software platforms, where appropriate, • Translate analytical and AI outputs into clear insights and recommendations to inform product, clinical, and business decisions, • Provide technical leadership and mentorship, contributing to architectural decisions and responsible AI practices, • Develop a comprehensive understanding of the Invisalign products and operational procedures, • Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally, • Work efficiently in a fast-paced environment to meet critical deadlines and priority changes What we're looking for • MS or PhD in Data Science, Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field, or equivalent practical experience, • MS with 6+ years of industry experience applying data science, analytics, or machine learning to real-world product or business problems; PhD with 3+ years of industry experience, • Strong foundation in statistical analysis and experimental design, including hypothesis testing, model validation, and interpretation of results, • Proficiency in Python and/or R for data analysis, modeling, and analytics workflows, • Experience working with relational databases and large datasets (e.g., SQL-based data extraction and analysis), • Ability to translate complex analytical or modeling results into clear insights and recommendations for technical and non-technical stakeholders, • Experience owning work end-to-end, from problem formulation through execution and delivery in a cross-functional environment Desired:, • Dental, medical device or pharmaceutical industry experience preferred Pay TransparencyIf provided, base salary or wage rate ranges are the range in which Align reasonably expects to set a candidate’s pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus the total compensation and equity across team members. For other locations outside of the primary location, the base salary range will be adjusted geographically. For Field Sales roles, the salary listed is the base pay only and does not include the applicable incentive compensation plan. A cost of living adjustment may be added to base pay for higher cost areas in the U.S. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience. General Description of All BenefitsWe are pleased to provide a general description of the benefits Align offers to full-time employees in this position. Family Benefits. Align offers employees and their eligible dependents medical (with a Health Savings Account option for some plan offerings), dental, and vision in accordance with those plans. Align also offers to employees: • Discounts on Invisalign and Vivera to employees and their eligible dependents after 90 days of employment, • Back-up Child/Elder Care and access to a caregiving concierge, • Family Forming Benefits – Available to Employees, and their spouse or domestic partner, covered under one of Align’s health plans, • Breast Milk Delivery and Lactation Support Services, • Employee Assistance Program, • Hinge Health Virtual Physical Therapy – Available to all employees and eligible dependents (age 18+) enrolled in an Align medical PlanEmployee benefits. Align offers its employees:, • Short-term and long-term disability insurance in accordance with those plans., • Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance for Employee, Spouse/Domestic Partner, and Child(ren) are available for purchase in accordance with those plans., • Flexible Spending Accounts – Employees may be eligible to participate in a health care account (including a limited health FSA if enrolled in a HDHP), dependent care account, and a pre-tax commuter benefit plan., • 401k plan (with a discretionary Company match of 50% up to 6% of eligible earnings up to a maximum match of 3%.). Employer match vests after two years – 25% year one and 100% at year two. Align offers traditional, Roth, and after-tax options., • Employee Stock Purchase Program (Employees must work 20 hours or more and be employed on purchase date to be eligible)., • Paid vacation of up to 17 days during the first full year of employment (currently accrued at the rate of 5.24 hours each pay-period), which carries over to a maximum cap of 30 days. Annual paid vacation time accrual increases based on tenure. Both exempt and non-exempt employees who work 32 hours or more per week receive prorated vacation accrual based on their regularly scheduled work hours and tenure., • Sick time is accrued throughout the year at the rate of one hour for every thirty worked. Employees can carry over unused sick leave each year, up to a maximum balance of 80 hours., • 11 Company-designated paid holidays throughout the year., • If employed for at least 12 consecutive months, Align will grant up to 6 weeks of paid Parental Leave. If employed for less than 12 consecutive months, Align will grant up to 4 weeks of paid Parental Leave. All parental leave must be completed within one year of the birth or placement of the child. Parental leave is in addition to any state and/or local parental leave benefits. Three days of paid bereavement leave. In some cases, due to travel the amount of paid leave may be extended to 5 paid days off. To the extent applicable state or local law offers more generous benefits, Align complies with any such law., • Non-exempt employees will receive full pay for up to 10 days of jury duty. Exempt employees will receive their full salary during any week they serve and perform any work. Other insurance such as legal, critical illness, voluntary accident, long-term care, auto, home and pet insurance are available for purchase. To the extent applicable state or local law offers more generous benefits, Align complies with any such law.

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 With data and advanced analytics at the center of our people strategy, we are seeking a seasoned, analytically driven professional to join our People Experience team (HR) as a Sr. People Data Scientist. In this role, you will be responsible for developing, optimizing, and enhancing data-driven insights across the full employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to ensure our people data, models, and analytics support strategic workforce priorities and operational decision-making. You will play a critical role in elevating our analytics capabilities by building predictive models, applying advanced statistical methods, leveraging natural language processing (NLP), and delivering insights that enable better workforce planning, employee experience, and organizational effectiveness. If you are passionate about transforming people data into high-integrity insights, enjoy collaborating across functional teams, and are eager to advance the use of modern analytics and AI technologies within HR, this role may be an excellent fit for you. ESSENTIAL DUTIES AND RESPONSIBILITIES: • People Analytics & Insights, • Analyze and report on the employee lifecycle (from hiring and onboarding to development and exit) by building descriptive and diagnostic dashboards that deliver insights on hiring, performance, attrition, engagement, rewards, merit, promotions, headcount and overall organization health., • Lead employee listening analytics (onboarding, quality of hire, exit surveys) and partner with People Business Partners, Finance, Compensation, and other COEs to support QBRs, org health reviews, and strategic workforce initiatives., • Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms., • Advanced People Analytics Define and execute the enterprise people analytics and data science strategy, advancing from descriptive reporting to predictive, prescriptive, and AI‑enabled insights. Predictive Modeling: Develop and maintain advanced predictive models, statistical analysis including: • Attrition prediction, • Forecasting trends to identify workforce risks and opportunities, • Survival analysis for tenure and lifecycle predictions, • Skills gap identification and capability modeling Gen AI–Data Driven People Insights: • Narrative Insight Generation: Leverage Generative AI and Natural Language Processing (NLP) across key workforce data—such as employee demographics, tenure, job families, countries, terminations, and trend indicators—to automatically surface themes, generate narrative insights, and support strategic, data driven decision making., • Transform Unstructured Text into Actionable Intelligence: Use advanced topic modeling, sentiment analysis, and NLP techniques to convert open text survey feedback into structured insights that reveal employee sentiment, emerging issues, and experience drivers., • GenAI-Enabled Data Insights: Support the exploration of AI-enabled solutions that offers real-time, contextual guidance on workforce trends, attrition patterns, and retention risks, as well as offering considerations points for people leaders and their aligned people business partners., • People Data Governance:, • Own people data governance and quality by standardizing metrics, integrating systems, auditing data accuracy, and ensuring reliable refresh SLAs and reconciliation across platforms., • Ensure data security, privacy, and compliance by managing access controls, PII governance, data classification, encryption, and documentation aligned with data privacy policies.Qualifications REQUIRED: • Bachelor’s degree in Statistics, Data Science, Computer Science, Data Analytics or a related field, or an equivalent combination of education and experience., • 6+ years of experience in People Analytics, HR Analytics or Data Science. SKILLS: • Expert-level proficiency in data visualization tools (e.g., Tableau, Power BI), Excel and Oracle/SQL., • Strong expertise with Python, R for data analysis/modeling., • Strong experience with advanced statistical methods (e.g., regression, cluster analysis, text analysis, sentiment analysis, etc.) and deliver actionable insights., • Exceptional analytical, problem-solving, stakeholder management, influencing, and storytelling skills., • Experience in partnering with senior leaders to drive data-informed decisions, • Excellent data management and data governance skills. 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 jobs.accommodations@sandisk.com 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 10/22/2026 (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-RT1 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 DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.The Mission As CoreWeave continues to solidify its position as the Essential Cloud for AI, we are seeking a visionary VP, Product AI/ ML. This executive leader will own the product strategy and engineering execution for the services that power the most ambitious AI research labs in the world. You will bridge the gap between "the metal" and the researcher, delivering a seamless, high-performance environment where frontier models are born. The Role: Architect of the AI Factory You will lead the product strategy of our Research Training Stack, focusing on the specialized orchestration, evaluation, and iteration tools required for massive-scale pre-training and post-training. This is a mission-critical role at the intersection of high-performance computing (HPC) and cloud-native agility. Core Responsibilities • Frontier Orchestration: Oversee the evolution of SUNK (Slurm on Kubernetes) to provide researchers with deterministic, bare-metal performance through a cloud-native interface., • Holistic Training Services: Beyond Slurm, drive the development of next-generation orchestrators and automated training-based evaluation frameworks that ensure model quality throughout the lifecycle., • Post-Training Excellence: Build the infrastructure required for sophisticated Reinforcement Learning (RL) and RLHF pipelines, enabling labs to refine foundation models with maximum efficiency., • Customer Advocacy: Act as the primary technical partner for lead researchers at global AI labs, translating their "future-state" requirements into actionable product roadmaps.Requirements: Deep Research & Infrastructure Mastery, • Proven Leadership: 15+ years of experience in engineering leadership, with at least 5+ years managing large-scale infrastructure at a top-tier research lab or an AI-native cloud provider., • Domain Expertise: Deep, hands-on knowledge of Slurm, Kubernetes, and the specific networking requirements (InfiniBand/RDMA) for distributed training clusters., • Research Mindset: You likely come from a background supporting frontier model research (pre-training and post-training) and understand the "pain points" of a research scientist., • Scaling Experience: A track record of delivering mission-critical services on multi-thousand GPU clusters (H100/Blackwell/Rubin architectures)., • Strategic Vision: Ability to define "what's next" in the AI stack, from automated RL loops to specialized sandbox environments.Why CoreWeave? In 2026, CoreWeave is the foundation of the largest infrastructure buildout in human history. We are building AI Factories, not just data centers. • Silicon-Up Innovation: Work directly with the latest NVIDIA architectures., • Impact: You will be the architect of the environment that enables the next new discovery. Velocity: We move at the speed of the researchers we support, bypassing legacy cloud bottlenecks to deliver raw power. The base salary range for this role is $233,000 to $341,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. 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: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off 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 AccuScan Sciences is seeking a California-licensed Clinical Genetic Molecular Biologist Scientist (CGMBS) to support and scale high-complexity molecular diagnostic testing within a CLIA-certified laboratory environment. This role is designed for an experienced molecular laboratory professional with demonstrated expertise in high-throughput next-generation sequencing (NGS), assay development, laboratory build-out, and regulated clinical operations. Key Responsibilities Clinical Operations & High-Complexity Testing · Perform and oversee high-complexity molecular testing including DNA extraction, sample preparation, and NGS workflows · Review and verify test results according to laboratory SOPs and regulatory requirements · Ensure compliance with CLIA, CAP, and California Department of Public Health regulations Laboratory Build & Optimization · Support scaling and optimization of high-throughput NGS laboratory workflows · Contribute to laboratory build-out, workflow standardization, and documentation systems · Lead assay improvements and platform transitions when required · Implement process improvements to increase throughput, data quality, and operational efficiency Quality & Regulatory Compliance · Maintain inspection readiness and support CLIA/CAP audits · Oversee QC monitoring, deviation tracking, and corrective actions · Participate in validation and verification of new assays and instrumentation · Ensure rigorous data integrity and standardized documentation practices Requirements Required Qualifications · Active California Clinical Genetic Molecular Biologist Scientist (CGMBS) License · B.S. in Biochemistry, Molecular Biology, or related field · 2+ years of experience in molecular diagnostics or high-complexity CLIA laboratories · Demonstrated experience establishing or scaling NGS-based clinical testing · Strong hands-on experience with DNA extraction, sample preparation, and high-throughput NGS platforms · Deep understanding of CLIA/CAP regulatory standards · Proven ability to implement process improvements and optimize laboratory operations

Job DescriptionClinical Lab Scientist (Hematology)Location: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! Ascend Clinical, LLC is one of the highest-volume clinical laboratories in the United States, processing millions of tests each month with advanced tools and technology. For over 30 years, we've set the standard for service and excellence in testing. What sets Ascend apart is our unique combination of clinical and healthcare water testing as we drive innovation across multiple areas of laboratory science. We're growing rapidly and looking for individuals who thrive in a fast-paced environment, embrace new challenges, and want to help shape what's next. 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, • Oversee, review and verify work of Medical Laboratory Assistants (MLA) Qualifications: • 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 roleBenefits: As an Ascend Clinical employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. Ascend is an Equal Opportunity Employer - M/F/Disabled/Veteran 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 z9o3UNJ81i

Job DescriptionCompany Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here. Job Description Primary Function of Psoition: We are seeking a highly driven and experienced Translational Research Scientist to lead efforts to understand the fundamental mechanism(s) of action associated with medical interventions on patients and disease states. The ideal candidate will generate translational data which will provide a deeper understanding of the biologic effects of medical interventions to accelerate medical device development including patient selection and device design. Focusing on a portfolio of Class II and III medical devices in the pulmonary space—including next-generation pre-label products—this leader will focus on translating biological and engineering insights into device design, regulatory submissions, and clinical studies. The role will closely collaborate with engineering, clinical, regulatory, and manufacturing teams to de-risk devices and accelerate product development. Core AccountabilitiesResponsibilities Design and Execute Translational Study Plans These may include in vitro, ex vivo, and/or in vivo studies to evaluate mechanism of action, performance, and safety of medical devices Develop and validate experimental models, assays, and protocols that characterize clinical outcomes and support regulatory filings Analyze and interpret study data then synthesize findings into study reports focusing on implications for medical device development and clinical study design. Manage data integrity and study documentation per requirements including GLP (Good Laboratory Practice)/GCP (Good Clinical Practice) best practices for research. Investigator & Site Engagement Relationship Building: Identify subject matter expert collaborators. Build and sustain strongdeep, trusted relationships with collaborating investigators, labs and study sites. Site Awareness: Maintain awareness of study progress with collaborating labs. Communication: Establish and maintain open lines of communication with principal investigators and collaborating scientists. Subject Matter Representation: Serve as a trusted collaborator to investigators and site teams, capable of discussing the underlying science and potential implications for medical device design as well as clinical implications.. Exploratory Research: Facilitate exploratory research by identifying opportunities for sub‑studies, brainstorming novel investigation areas, and assisting with publication efforts. Clinical & Technical Expertise Act as the internal expert on the clinical application, technical performance, and limitations of treatment platforms. Translate clinical experience into insights related to safety, efficacy, usability, and procedural outcomes. Identify and characterize patient subgroups most likely to benefit, including anatomical, physiological, and disease-specific factors. Product & Engineering Learnings Convert clinical findings into actionable inputs for product development and design evolution. Influence product roadmap and development priorities based on real-world clinical use. Support validation of safety and efficacy for products not yet on label across multiple trials. Commercial Collaboration & Field Harmony Serve as a key communication bridge with Commercial teams to ensure alignment across shared clinical and commercial pulmonary sites. Provide regular, structured updates on site activity, investigator engagement, and trial progress. Collaborate on which investigators and KOLs to prioritize, ensuring coordinated outreach and consistent communication. Support harmony between clinical trial activity and existing commercial product presence while maintaining strict compliance boundaries for not-on-label products. Strategic Alliances & Sponsored Studies Partner Collaboration: Collaborate closely with strategic alliance partners conducting sponsored studies. Study Guidance: Provide clinical and technical oversight to ensure sponsored studies align with overall product strategy, evidence-generation goals, and data quality expectations. Outcomes Integration: Maintain visibility into progress, learnings, and outcomes from strategic alliance-led studies, i. Integrating thesee insights from sponsored external studies into internal clinical, engineering, and product decision-making. Cross-Functional Integration & Strategy Strategic Connector: Serve as the primary liaison aligning Engineering, Clinical Affairs, Medical Affairs, Regulatory, and Data Analytics with data generated from translational projects. Commercial Readiness: Ensure that learnings and data from studies are packaged to support regulatory submissions, device design, clinical study design, and marketing claims. Team Leadership & Scaling Function Building: Define the standard operating procedures for the translational research scientist feedback loop within the organization. Mentorship & Growth: Recruit, train, and mentor a growing team of translational research scientists and specialists as the product pipeline matures. Build and manage external collaborations with academic labs, contract research organizations (CROs), and clinical partners to expand capacity and access specialized expertise. Scale translational capabilities: develop standardized models, assay platforms, and automation to increase throughput and reproducibility (ie biospecimen processing – staining and imaging, data storage, data sharing, data interpretation, others) Cross-Functional Coordination & Team Growth Coordinate across Clinical, Engineering, Medical, Regulatory, Data Analytics, Commercial, and Strategic Alliance teams. Ensure clinical and technical insights are captured, analyzed, and disseminated in a timely and structured manner. As clinical activity scales, help define team structure and lead the growth of a clinical engineering learnings function. Success Indicators Establishment and maintenance of strong, trusted external collaborators Timely design and execution of studies based on predefined expectations. Actionable insights influencing device design and clinical study design. Demonstrated impact on product validation, design, and roadmap decisions. Effective alignment between internal teams and external collaborators. High-quality study documentation, peer-reviewed publications, and conference presentations that strengthen scientific credibility. Growth and retention of a high-performing translational research team. Qualifications Required Qualifications Education: PhD, MD/PhD, or equivalent advanced degree in bioengineering, biomedical engineering, physiology, pharmacology, or related field. 5+ years experience in translational research for medical devices, combination products, or biologics with direct responsibility for study design and execution. Strong organizational skills, attention to detail, and ability to manage multiple projects and timelines. Excellent written and verbal communication skills essential for successful long-term relationships with external collaborators. Ability to analyze complex biological and engineering data, produce study reports, and present findings to technical and nontechnical stakeholders. Preferred Qualifications Prior experience building or managing a research laboratory including lab technicians, PhD students/candidates, and/or postdoctoral researchers. Understanding of regulatory pathways for medical devices (e.g., FDA and EU requirements) and experience designing studies to support submissions. Experience with GLP-compliant study execution or working with CROs under GLP frameworks. Experience establishing external academic or CRO partnerships and negotiating study agreements. Location and Travel: Location: Remote / Work-from-home, with the ability to maintain working hours that partially overlap with Pacific Time. Relocation is preferred but not required for this role. Travel: Up to 20% travel required to clinical sites, partner locations, and the home office as needed. Additional Information Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Strong proficiency in SQL and programming languages such as Python or R for advanced data analysis and model development.

Experience with natural language processing. Understanding feature usage, such as engagement with Genmoji and Image Playground Evaluating the accuracy of algorithms like autocorrection for non-English languages, and ML models Mining user feedback data to identify opportunities for model improvemen

Job Description Full-time: 100% FTE, Exempt Compensation: $140,000-$155,000 annual salary Benefits Overview: Medical, vision, dental and life insurance, vacation and sick time off, paid federal holidays, and retirement plan (See full job description for more details). Organization Size: 50+ employees Report to: Chief Executive Officer Location: This role is eligible for a hybrid work schedule. ORGANIZATION OVERVIEW: Digital NEST is an innovative workforce development center that has welcomed thousands of youth from working-class, farmworker communities to develop the technical and professional skills they need to achieve their dreams. It is an exciting time for the NEST. We are focused on growth and expansion to five communities across the Monterey Bay (MBR) and San Joaquin Valley (SJVR) Regions in Northern California. Digital NEST has Centers in the heart of Watsonville, Salinas, Gilroy, Modesto, and Stockton. JOB OVERVIEW: We are scaling rapidly and are looking for a visionary Vice President (VP) of Development to help us raise the resources to power this bold movement. Digital NEST is seeking a VP of Development to lead and strengthen our fundraising efforts as we enter our next phase of growth. This role is an opportunity for an experienced fundraising leader who enjoys building systems, creating structure, and driving results. The VP will be responsible for developing and executing fundraising strategies that support the organization’s mission while building the processes, tools, and infrastructure needed for long-term success. This is a hands-on leadership role in a lean development function, requiring active engagement in frontline fundraising activities including donor cultivation, solicitation, stewardship, and development operations alongside strategic planning and leadership responsibilities. As a member of the Executive Team, the VP of Development will play a critical role in building a sustainable fundraising program that supports Digital NEST's long-term growth and impact. RESPONSIBILITIES: Strategic Fundraising Leadership (35%): • Design and execute a multi-year, multi-million dollar development strategy aligned with Digital NEST’s growth goals., • Design, launch, and scale a comprehensive individual giving program to build a sustainable grassroots donor base, • Develop and lead a high-performing development team., • Mentor and coach development staff to foster a culture of fundraising excellence., • In close collaboration with the Principal Research Scientist, support proposal development, grant management, pipeline building, reporting, and data systems., • Develop and implement a process and set of criteria for evaluating the pursuit of funding opportunities., • Build and strengthen development systems, processes, and workflows that support sustainable fundraising growth., • Establish fundraising performance metrics, reporting dashboards, and pipeline management practices to improve accountability and forecasting., • Optimize development operations and donor management systems, including Salesforce, to improve efficiency and decision-making. Donor & Partner Engagement (35%): • Manage a portfolio of major donors, prospects, corporate partners, and institutional funders through cultivation, solicitation, stewardship, and ongoing relationship management., • Build a reliable pipeline that transitions mid-level individual donors into major gift prospects, • Partner with the CEO, Development team, Executive team, and Board of Directors to develop philanthropic networks, co-lead donor strategy, and expand giving at all levels., • Partner with the CEO in coaching and guiding the Board of Directors; helping to set policies and practices for Board Members involved in fundraising, overseeing the involvement, identification, training, and support of Board Members in outreach and solicitation., • Launch and grow new revenue channels, including planned giving, government contracts, and corporate investments. Development Operations & Infrastructure (15%) • Build and strengthen development systems, processes, and workflows that support sustainable fundraising growth and organizational scalability., • Oversee the effective use of Salesforce and related fundraising technologies to ensure accurate donor data, pipeline management, reporting, and revenue forecasting., • Establish fundraising dashboards, key performance indicators, and reporting practices that support data informed decision making and organizational accountability., • Develop and document development policies, procedures, and best practices to improve efficiency, consistency, and cross functional collaboration., • Create and maintain systems for donor stewardship, prospect tracking, grant management, gift processing, and fundraising performance measurement., • Partner with Finance and other internal teams to ensure accurate revenue tracking, reporting, reconciliation, and compliance with donor and funder requirements., • Evaluate and implement tools, processes, and operational improvements that enhance the effectiveness and sustainability of the development function. Marketing & Communications Partnership (10%): • Partner closely with the VP of Marketing and Communications to align fundraising, storytelling, and engagement strategies across the organization., • Collaborate on the development and execution of integrated fundraising campaigns, including annual appeals, donor communications, stewardship efforts, and special initiatives., • Provide fundraising insights, donor perspectives, and audience engagement data to inform marketing and communications strategies., • Partner with the Principal Research Scientist to integrate compelling evaluation and research into grant proposals, funder communication, and reports., • Partner on messaging that effectively communicates Digital NEST's impact, funding priorities, and philanthropic opportunities to donors, funders, and community stakeholders., • Support the planning and promotion of fundraising events, donor engagement opportunities, and public-facing campaigns that strengthen awareness and philanthropic support for Digital NEST., • Ensure fundraising priorities and donor stewardship efforts are effectively reflected in external communications and engagement strategies. Organizational Growth & Collaboration (5%): • Participate in strategic planning, priority-setting, and organizational decision-making as a core member of the Executive Team., • Ensure fundraising strategy is aligned with community needs, mission outcomes, and long-term sustainability., • Serve as a public voice for the NEST at key events, conferences, and funder meetings., • Ensure Digital NEST's development work is inclusive and responsive to the needs of local communities and populations we seek to impact. QUALIFICATIONS: • Bachelor's degree or equivalent professional experience or at least 15 years of progressive fundraising and development experience with a demonstrated track record of securing significant philanthropic investments., • At least 7 years of leadership experience overseeing development functions, fundraising teams, or organizational revenue growth strategies., • Demonstrated success developing and implementing fundraising strategies that have resulted in measurable revenue growth., • Experience cultivating, soliciting, and stewarding major donors, foundations, corporations, and institutional funders., • Experience managing donor pipelines, fundraising forecasts, and development performance metrics., • Strong knowledge of fundraising best practices, donor stewardship, moves management, prospect development, and relationship-based fundraising., • Experience utilizing Salesforce or similar donor management and CRM platforms to support fundraising operations, reporting, and decision making., • Experience developing and improving fundraising systems, processes, and operational infrastructure., • Strong written, verbal, and interpersonal communication skills with the ability to engage effectively with donors, board members, staff, and community stakeholders., • Demonstrated ability to work collaboratively across departments and build strong relationships with internal and external partners., • Ability to travel regularly throughout Digital NEST's service regions and attend occasional evening and weekend events as needed. PREFERRED-BUT-NOT-REQUIRED: • Experience working in youth development, workforce development, education, nonprofit, or community-based organizations., • Experience leading fundraising efforts during periods of organizational growth, transformation, or expansion., • Experience building or rebuilding fundraising infrastructure within a growing organization., • Experience partnering closely with executive leaders and boards of directors on fundraising strategy and donor engagement., • Experience managing multimillion-dollar fundraising portfolios and annual revenue goals., • Knowledge of planned giving, government funding opportunities, corporate partnerships, and diversified revenue strategies. REQUIREMENTS: • Passion for the mission of Digital NEST and belief in upholding organization’s core values., • Understanding of and sensitivity to issues of culture/ethnicity/race, gender, sexual identity, class/socioeconomic status and immigration status., • Ability to be an ally to people of color, women and lesbian, gay, bisexual, transgendered, queer, questioning and intersex individuals and their allies (LGBTQIA)., • Participate in NEST evening and weekend programs and events on an occasional basis; facilitate youth involvement in these programs and events., • Candidates must be able to travel and work evenings or weekends occasionally, or as needed. NOTE: The job offer will be contingent upon the successful completion and passing of a background check. ABOUT OUR BENEFITS: We take a holistic approach to wellness, physical, emotional, and financial. Our comprehensive benefits package includes: • 100% Agency Paid Medical, Dental, Vision, and Life Insurance for the employee, • Paid Parental Leave, • SIMPLE IRA Retirement Benefit with up to 3% employer match, • Accrual of up to 15 Paid Vacation Days for Full-time Employees, • 13 Paid Holidays Annually Plus Business closure/holiday the week between Christmas Day and New Years Day, • Paid Sick Time Off Accrual, • Annual Parking Permit, • Professional Development, • Flexible Work Schedule We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable, and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a fluid and collaborative environment. We want you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for. We also know that diversity of background and thought makes for better problem-solving and more creative thinking, so we're dedicated to adding new perspectives to the team. We look forward to hearing from you. Digital NEST, Inc. is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital NEST is also committed to an inclusive experience for all applicants and will endeavor to make reasonable accommodations in the interview process, to the known physical or mental limitations of qualified employees with disabilities unless the accommodation would impose an undue hardship on the operation of our business. Please refer to our career page for more information on how to apply for reasonable accommodations. Powered by JazzHR yuX0OAYXsg

Work Your Magic with us! Start your next chapter and join EMD Electronics. Ready to explore, break barriers, and discover more? Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. EMD Electronics is in the middle of a fundamental shift in how R&D gets done. Over the next several years, AI, automation, and connected data infrastructure will reshape every stage of the materials discovery cycle, from ideation and simulation to lab experimentation and analysis. The Head of Materials AI leads the team and portfolio at the center of that transformation. This is not a greenfield role. You will inherit a deployed portfolio of AI products with real users, a multidisciplinary team of scientists and engineers already in motion, and a committed strategic investment behind you. The mandate is to scale what works, sharpen what doesn’t, and define the operating model for AI-amplified R&D before the industry converges around one. • Multi-year transformation portfolio spanning AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across all global R&D sites, • Annual program budget from the technology leadership board and multi-year investment commitment, • Direct influence on how R&D scientists design experiments, capture data, and analyze results closing the gap between AI capability and daily research practice, • External representation of EMD Electronics' AI leadership e.g. at conferences, • Define and execute the Materials AI roadmap across the Connected > Amplified > System-Ready R&D phases, • Own and prioritize a portfolio of concurrent AI and digital programs; manage budget, vendors, and delivery milestones, • Present strategy and progress to the Technology Leadership Board and Electronics CTO, • Lead and develop a multidisciplinary team (AI engineers, computational scientists, product managers, data governance) across Germany, the US, and Asia, • Foster cross-functional collaboration across CTO, R&D sites, DD&IT, and business functions globally, • Architect and scale a deployed multi-agent AI co-scientist platform into the primary R&D workflow tool, • Extend modeling and ML interatomic potential (MLIP) simulation capabilities to new material systems and R&D use cases, • Complete global lab digitization: 100+ instruments connected to ELN, 1.7M historical experiments migrated, • Build and maintain relationships with Electronics CTO, Technology Leadership Board, R&D site leads, and external vendors and partners, • Represent EMD Electronics' AI capabilities externally through conferences, partnerships, and customer engagements, • Advanced degree (PhD or equivalent) in computer science, data science, chemistry, materials science, or a related field or equivalent experience, • 10+ years leading technical teams and large-scale digital transformation programs, including exposure to R&D or science-driven organizations, • Hands‑on experience with AI/ML—LLMs, Bayesian optimization, or data-driven modeling—in a real deployment context, • Track record delivering digital products in a complex, multi-stakeholder environment; ability to bridge data/AI strategy and operational delivery, • Experience in new product development, scale-up commercialization, • Proficiency in agentic AI architectures, large language model-based systems, and modern data infrastructure, • Proven ability to drive technological adoption, embedding tools in how people work, • Experience leading international and multi-site teams of scientists and engineers across disciplines, • Understanding of scaled agile frameworks for managing concurrent digital programs, • Familiarity with research and development workflows and scientific data, including wet lab, simulation, or instrumentation contexts, • Background in semiconductor or specialty chemicals research and development is an advantage, • Executive communication and presence; comfortable presenting to senior leadership and external audiences San Jose, United States; Germany; Taiwan; Korea; Japan $227,300 - $340,900 We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! #J-18808-Ljbffr

Join to apply for the Sr Data Scientist, Risk role at OKX. 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. • 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, • 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, • Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.), • 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 $268,333.00. 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. Notice: All official OKX vacancies are posted on this site. We are not affiliated with other third-party job boards except Linkedin.com, listings on other sites may be inaccurate or outdated. This is the only source of truth for applications. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice. #J-18808-Ljbffr

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, directly feeding the pre- and post-training of LLMs such as Nemotron. This role combines hands‑on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs. Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron — reasoning, coding, structured output, and multimodal understanding. Advance multimodal synthetic data generation — image, document, video, and audio — in partnership with NVIDIA's model teams. Design and maintain open-source libraries and SDKs with clean APIs and strong documentation. Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI‑CD. Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership. Mentor interns and junior researchers to develop technical growth within the team. PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience. A research background of 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered. Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI. Proven track record of developing or maintaining software libraries used by a broad developer community. Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar. Open-source contributions in ML or data tooling. Experience with multimodal generation or understanding (vision-language, document AI, video, or audio). Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference). Experience generating data for agentic, tool-use, or reinforcement-learning post-training. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr

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. • 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., • Apply 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., • 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 and algorithms including GBM, XGBoost, LGBM, etc., • Advanced programming skills in statistical and 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., • Ability and willingness to travel as needed., • Strong communicator in both writing and speaking., • Multi-tasking and strong project management skills., • Hands-on experience and knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)., • 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. The salary range for this position is $223,661.00 to $313,055.00. 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. #J-18808-Ljbffr

Target's Applied Data Sciences team seeks a Principal Data Scientist for Search and Browse to shape AI-driven discovery at scale. You will lead architecture and delivery across retrieval, ranking, and conversational search, influencing product direction. Candidates bring 8+ years in ML systems, strong Python, and experience with vector search and LLMs, plus ability to mentor and partner with cross-functional teams. #J-18808-Ljbffr

Unchain Data in San Jose, California, is seeking a Sr Data Scientist to leverage analytical expertise in fraud analytics. The role involves utilizing machine learning techniques to identify complex fraud patterns and providing technical guidance across teams. The ideal candidate will have a Master's degree and at least 4 years of relevant experience in financial services or FinTechs. A competitive compensation package, including salary and performance bonuses, is offered. #J-18808-Ljbffr

Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs)Applylocations: 100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017: 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445time type: Full timeposted on: Posted 9 Days Agojob requisition id: R0000438138The pay range is $168,000.00 - $356,000.00Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.JOIN TARGET AS A PRINCIPAL DATA SCIENTIST – SEARCH AND BROWSEAbout Us:Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.A role with Applied Data Sciences team at Target means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Search, RecSys, Supply Chain Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge.About our Search and Browse team:The Search and Browse Applied Data Science team builds the foundational relevance, retrieval, ranking, and personalized search systems that power Target’s Digital experience at scale. We are defining the future of AI-native commerce discovery across Search, Browse and emerging conversational shopping experiences.E-commerce Search is undergoing a massive transformation, and we are building the architecture to lead it. We are solving some of the hardest problems in retail AI at a $10B+ commercial scale and 10K+ QPS, including: Architecting search and data systems for external LLM ingestion so our catalog wins in ChatGPT, Gemini, agentic commerce, and the next generation of AI-native discovery experiences Building zero-shot and cold-start discovery systems for rapidly changing, seasonal retail inventory Solving natural language and long-tail search problems where conversational queries and traditional retrieval systems break against massive unstructured product catalogs Evolving multi-stage retrieval and ranking architectures that balance relevance quality, latency, scalability, and infrastructure efficiency at enterprise scaleWe are looking for pragmatic builders and technical leaders who thrive on shipping production systems at scale. Engineering excellence, sub-second latency, operational reliability, infrastructure economics, and seamless integration with core Retrieval and Ranking systems matter just as much as modeling sophistication.This role requires deep technical expertise, exceptional product judgment, and the ability to influence organizational strategy while driving measurable customer and business impactAs a Principal Data Scientist – Search and Browse you’ll: Define the long-term technical vision and organizational roadmap for Search, Browse, and AI-driven discovery systems Lead architecture strategy for large-scale retrieval, ranking, semantic search, and GenAI systems operating at massive scale Drive innovation across transformers, LLMs, RAG architectures, multi-stage ranking systems, personalization, conversational commerce, and agentic AI Architect search and retrieval systems for external LLM and agentic search ecosystem integration Define the future evolution of semantic retrieval, conversational search, and zero-shot discovery systems Influence organization-wide strategy across relevance, experimentation, evaluation, ML infrastructure, and AI product investments Lead highly ambiguous, multi-quarter initiatives involving Product, Engineering, Applied Science, Infrastructure, and executive stakeholders Establish scalable ML architecture patterns, experimentation standards, and operational best practices across multiple teams Drive foundational investments and technical direction across Search, Retrieval Infrastructure, and AI-powered discovery platforms Balance customer experience, business impact, system reliability, latency, scalability, and infrastructure cost at enterprise scale Mentor Lead scientists and technical leaders across the organization Represent the organization in executive reviews and drive alignment on major technical and product decisions* Influence technical direction and investment priorities across multiple teams and organizationsCore responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.About you: PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI) Demonstrated Python programming and technical ML problem-solving skills Proven experience defining architecture and long-term strategy for large-scale production AI systems Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence Strong track record driving measurable business impact through ML innovation Experience leading cross-functional initiatives spanning multiple teams or organizations Ability to influence executive stakeholders and drive organizational technical direction Exceptional communication, technical leadership, strategic thinking, and mentoring skillsThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ in Sunnyvale, CA or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.Benefits EligibilityPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_FAmericans with Disabilities Act (ADA)In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. Application deadline is : 06/18/2026 #J-18808-Ljbffr

NVIDIA is seeking a Senior Scientist to contribute to synthetic data generation for training large language models. This role involves building data generation pipelines and advancing multimodal data generation, collaborating across various teams. The ideal candidate holds a PhD and has a strong background in synthetic data generation and LLMs. A competitive salary range is offered, along with equity and benefits. #J-18808-Ljbffr

The TSMC AI4BI Center is a global and international team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. This role will be based in our San Jose office in a hybrid working environment (working three days in the office). This role requires close interaction and coordination with international teams of junior data scientists, data engineers, and business stakeholders to gather requirements, oversee development, evaluate the outputs of technical solutions, produce internal reports, and lead co‑authored publications at top‑tier AI venues. • BI problem identification and specification: This position requires significant efforts to help identify key BI problems to address from business stakeholders, prioritize requests, and develop timelines for execution. Responsibilities also include managing project scope, priorities, deliverables, risks/issues, and timelines for successful outcomes., • AI-enabled analytics solution formulation: Based on the key BI requirements, this role would entail working with senior data scientists and data engineers to produce AI-enabled analytics designs., • Cross-functional global team monitoring and solution evaluation: This role requires the individual(s) to work with a global set of AI personnel and BI stakeholders to monitor and ensure consistent project progress and evaluate the produced technical solutions., • Reporting and executive presentations: Given the reporting structure of this role, the expectation is for the individual(s) to effectively communicate with the firm’s Vice President(s)., • Continuous education: Given the rapidly evolving nature of AI methods, the individual(s) in this role would be responsible for helping to facilitate continuous learning opportunities for team members. This involves producing bootcamp materials to facilitate rapid onboarding of new members and continuous learning opportunities for existing personnel., • Leadership and strategy for AI/ML: The individual will provide strategic and technical leadership, vision, and guidance to the data scientists and engineering teams, aligning their efforts with the company’s goals and objectives., • Global team management: The individual will build and coach high-performing data scientist & engineering teams, ensuring that they have the necessary skills, resources, and support to excel in their roles., • Industry trends and innovation: The individual will stay up to date with the latest trends and advancements in AI/ML technologies and apply this knowledge to drive innovation within the organization and our solutions., • Organizational influence: The individual will engage and work with user executives, technical leads, and partners to manage and deliver successful implementations of AI/ML solutions. The individual will interact with IT/business stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful outcomes., • External collaboration: The individual will lead/drive the collaboration with universities and industry partners in topics related to the AI agenda., • Ph.D. in computer science, electrical engineering, information systems, information science, statistics, or related AI or machine learning fields, • 15+ years of experience working in hands‑on, advanced AI-enabled analytics and/or data scientist roles, • Experience gathering requirements from business stakeholders, developing technical end-to-end AI-enabled analytics and system designs for implementation, evaluation (technical and business), and iterating on designs, • Proven track record of managing diverse and international teams of data scientists and data engineers developing end-to-end AI-enabled analytics solutions, • Publications or presentations in leading AI/ML conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (e.g., IEEE TKDE, ACM TOIS) a strong plus, • Ideally, bilingual in Mandarin and English., • Strong domain knowledge in manufacturing is a plus. TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, or any other characteristic protected by applicable law. At TSMC, your base pay is only part of your overall total compensation package. At the time of this posting, this role typically pays a base salary between $200,000 and $325,000 per year. The range displayed reflects the minimum and maximum target for new hires. Actual pay may be more or less than the posted range. Factors that influence pay include the individual's skills, qualifications, education, experience and the position level and location. TSMC’s total compensation package consists of market competitive pay, allowances, bonuses, and comprehensive benefits. We also offer extensive development opportunities and programs. #J-18808-Ljbffr

NVIDIA is seeking a Senior Scientist to advance the capabilities in synthetic data generation and privacy-preserving AI in Santa Clara, California. You'll build methods based on large language models (LLMs) and be responsible for designing open-source libraries within the NVIDIA NeMo ecosystem. The ideal candidate will have a PhD in Computer Science or related field, significant research experience, and a strong publication record. This role also offers competitive salaries ranging from $168,000 to $304,750 based on experience and level. #J-18808-Ljbffr

Target is seeking a Principal Data Scientist for Search and Browse to shape the future of AI-driven discovery at scale. You will define the long-term vision, lead architecture for retrieval and semantic search, and drive innovations across LLMs, transformers, and multi-stage ranking. You will mentor senior scientists, collaborate with Product and Engineering, and ensure performance, cost, and reliability meet enterprise expectations. Hybrid work in Sunnyvale, CA, or MN may apply. #J-18808-Ljbffr

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. A role withApplied Data Sciences team at Targetmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Search, RecSys, Supply Chain Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge. The Search and Browse Applied Data Science team builds the foundational relevance, retrieval, ranking, and personalized search systems that power Target’s Digital experience at scale. We are defining the future of AI-native commerce discovery across Search, Browse and emerging conversational shopping experiences. E-commerce Search is undergoing a massive transformation, and we are building the architecture to lead it. We are solving some of the hardest problems in retail AI at a $10B+ commercial scale and 10K+ QPS, including: Architecting search and data systems for external LLM ingestion so our catalog wins in ChatGPT, Gemini, agentic commerce, and the next generation of AI-native discovery experiences Building zero-shot and cold-start discovery systems for rapidly changing, seasonal retail inventory Solving natural language and long-tail search problems where conversational queries and traditional retrieval systems break against massive unstructured product catalogs Evolving multi-stage retrieval and ranking architectures that balance relevance quality, latency, scalability, and infrastructure efficiency at enterprise scale We are looking for pragmatic builders and technical leaders who thrive on shipping production systems at scale. Engineering excellence, sub-second latency, operational reliability, infrastructure economics, and seamless integration with core Retrieval and Ranking systems matter just as much as modeling sophistication. This role requires deep technical expertise, exceptional product judgment, and the ability to influence organizational strategy while driving measurable customer and business impact Define the long-term technical vision and organizational roadmap for Search, Browse, and AI-driven discovery systems Lead architecture strategy for large-scale retrieval, ranking, semantic search, and GenAI systems operating at massive scale Drive innovation across transformers, LLMs, RAG architectures, multi-stage ranking systems, personalization, conversational commerce, and agentic AI Architect search and retrieval systems for external LLM and agentic search ecosystem integration Define the future evolution of semantic retrieval, conversational search, and zero-shot discovery systems Influence organization-wide strategy across relevance, experimentation, evaluation, ML infrastructure, and AI product investments Lead highly ambiguous, multi-quarter initiatives involving Product, Engineering, Applied Science, Infrastructure, and executive stakeholders Establish scalable ML architecture patterns, experimentation standards, and operational best practices across multiple teams Drive foundational investments and technical direction across Search, Retrieval Infrastructure, and AI-powered discovery platforms Balance customer experience, business impact, system reliability, latency, scalability, and infrastructure cost at enterprise scale Represent the organization in executive reviews and drive alignment on major technical and product decisions Influence technical direction and investment priorities across multiple teams and organizations Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. PhD or MS in Computer Science, Statistics, Applied Mathematics, Physics or related quantitative discipline 8+ years of industry experience building and scaling ML systems for Search, Recommendation, Personalization, Ads, or AI platforms Strong experience with semantic retrieval, vector search, RAG systems, conversational search or agentic AI systems Deep expertise in retrieval/ranking architectures, recommendation systems, semantic search, NLP/LLMs, experimentation and ML infrastructure (VertexAI) Proven experience defining architecture and long-term strategy for large-scale production AI systems Experience operating large-scale online systems with strict latency, scalability, reliability, and infrastructure cost requirements Strong understanding of retrieval/ranking system tradeoffs, experimentation strategy, and operational excellence Experience leading cross-functional initiatives spanning multiple teams or organizations Ability to influence executive stakeholders and drive organizational technical direction Exceptional communication, technical leadership, strategic thinking, and mentoring skills This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ in Sunnyvale, CA or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota. Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances. In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel. #J-18808-Ljbffr

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in generating synthetic data and privacy-preserving AI. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that enable high-quality synthetic data generation and data privacy at scale, including context-aware anonymization. This role combines hands‑on software engineering with applied research in LLMs and privacy‑enhancing methods, and you will collaborate with research, engineering, product teams, and external labs. • Build LLM-based methods for synthetic data generation, privacy, and context‑aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content., • Optimize task‑specific LLMs for low‑latency, high‑throughput inference (distillation, quantization), and scale our frameworks to run in real time., • Design and maintain open‑source libraries and SDKs with clean APIs and strong documentation., • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI‑CD., • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership., • Mentor interns and junior researchers to develop technical growth within the team., • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience., • A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related areas. Comparable experience is also considered., • Proven track record of developing or maintaining software libraries used by a broad developer community., • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar., • Active contributions to open‑source projects, particularly in ML, security, or privacy domains., • Deep technical understanding of LLMs and inference optimization (quantization, distillation, latency/throughput tuning), with frameworks such as vLLM or TGI., • Ability to build and optimize scalable data processing pipelines for large‑scale models., • Functional knowledge of global privacy regulations such as GDPR or CCPA. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward‑thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open‑source tools that make AI safer and more private, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr