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Hourly Wage Estimate: $71.90 - $90.97 / hour Learn more about the _ for this job. The estimate displayed represents the typical wage range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. The typical candidate is hired below midpoint of the range. Last year our HCA Healthcare colleagues invested over 156,000 hours volunteering in our communities. As a Lead Clinical Lab Scientist CLS with Good Samaritan Hospital you can be a part of an organization that is devoted to giving back! Job Summary and Qualifications Performs, as assigned, all technical, analytical, clerical, and quality assurance tasks and duties associated with laboratory testing. Acts as a resource and educator for other CLSs, other laboratory staff, and hospital personnel. Represents department to accreditation and governmental surveyors. Accepts in-charge duties as assigned. What qualifications you will need: • Current State of California Department of Health Services Clinical Laboratory Scientist (CLS) License required, • College degree in Biological Sciences (BA or BS) required, • Three (3) years or more experience as a CLS II at Good Samaritan Hospital preferred, • Five (5) years’ experience in clinical laboratory required Benefits Good Samaritan Hospital, offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: • Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health and telemedicine services, • Wellbeing support, including free counseling and referral services, • Time away from work programs for paid time off, paid family leave, long- and short-term disability coverage and leaves of absence, • Savings and retirement resources, including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service), Employee Stock Purchase Plan, flexible spending accounts, preferred banking partnerships, retirement readiness tools, rollover support and financial wellbeing counseling, • Education support through tuition assistance, student loan assistance, certification support, dependent scholarships and a partnership with Galen College of Nursing, • Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection and consumer discounts _ Note: Eligibility for benefits may vary by location. _ has been serving Silicon Valley since 1965, giving patient's access to highly-trained physicians and advanced technology. Our 470+ bed facility is a recognized leader in advanced cardiology services and provides a full array of diagnostic and interventional coronary peripheral services. Other specialized programs include echocardiography, Vascular Sonograph and EKG services. Good Samaritan is a Joint Commission Accredited comprehensive stroke center. We are also one of 3 hospitals in the US to receive a 5th consecutive Outstanding Achievement Award from the American College of Surgeon’s Commission on Cancer. Among these accomplishments, our facility is a Bay Area Parent Magazine Hall of Fame recipient for “Best Place to Have a Baby”, complete with a CCS certified Level III neonatal ICU with pediatric surgery specialization. HCA Healthcare has been recognized as one of the World’s Most Ethical Companies® by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "There is so much good to do in the world and so many different ways to do it."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder Be a part of an organization that invests in you! We are reviewing applications for our Lead Clinical Lab Scientist CLS opening. Qualified candidates will be contacted for interviews. Submit your application and help us raise the bar in patient care! We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionSalary: $145000-$185000 About Oxford BioTherapeutics Oxford Biotherapeutics is a clinical-stage biotechnology companyfocusingonthedevelopment 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 toidentifynovel, 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 as Roche, GSK,and Zymeworks. For further information, pleaseseewww.oxfordbiotherapeutics.com Job Description We are seeking a motivated Sr. or Principal Scientist to join the Histopathology Lab within the Target Validation team in San Jose, CA. The role involves independently designing, troubleshooting, and executing histopathology workflows to evaluate oncology targets, and presenting findings to teams and partners. You will support target validation through IHC, IF, ISH, slide scanning, image analysis, and assay optimization, with a strong focus on IHC assay development, antibody screening, tissue processing (FFPE/FF), sectioning, and tissue-based assay implementation. Hands-on histology and oncology knowledge is required. Responsibilities will include, but are not limited to, the following: • Design and optimize chromogenic IHC assays using FFPE/FF samples; confirm specificity using orthogonal methods (e.g., ISH)., • Lead histopathology support for cancer target programs, including materials management, hands-on lab work, mentorship of junior staff, and timeline delivery., • Present results, gather feedback, and implement next steps., • Use literature and public datasets to guide assay development and target validation., • Process tissues and cell pellets into FFPE/frozen blocks; section and stain samples using Leica Bond autostainers., • Digitize slides, analyze results, and document data in ELN and presentations., • Perform routine lab tasks: sample archiving, equipment maintenance, consumables ordering, logistics., • Support tissue database and digital data organization. Required Qualifications and Skills: • PhD+4years,orMasters+6years,orBachelors+8yearsor moreofhands-on experience working in histologyandIHCrelatedlabs, preferablysupportingcancer researchin anindustry setting., • Extensive(>3 years)hands-onexperiencedeveloping,utilizing, and interpreting immunohistochemistry assaysagainstnovel protein targets,using bothsingleand multiplexIHC techniquesprimarily on FFPE sample slides., • Extensive(>3 years)hands-onexperience inlaboratoryhistology,including preparation oftissue samplesinto FFPE and FF blocks,preparation ofcell pellet control blocks,cryostatand microtome sectioning, troubleshootingchromogenicIHCand ISHexperiments, andindependentlyidentifyingappropriatenextsteps in the development ofrobust,sensitiveand specific tissue biomarker assays. • Experience withLeica Bondautostainersand reagentsrelevant to optimizing new IHC assays, typically chromogenicassays., • Experience withmicroscopeslide scannersforbrightfield andfluorescentimaging, andgeneral experience utilizingwhole-slideimage analysis softwaresuch as HALO., • Collaborate effectively in a matrix-managed organization to drive advancement of early-stage projects into translational and clinicaldevelopment., • Be relied upon as a technical expert in the IHC field;provide guidance to colleagues and collaborators, and mentorship to more junior lab colleagues. PreferredQualifications and Skills: • Knowledgeincancer biology,immuno-oncology, andtumorhistopathologyareeacha plus., • Strongtrack recordof developing and implementing strategic initiatives to improve scientific and/or operational activities., • Relevant experience working with service providers and CROsin the histology space., • Excellent organization skills,andevidence ofprevioussuccessinagrowing andfast-pacedworkenvironment., • ExperienceregularlypresentingIHC assayresults in group settings., • Top candidates will becollaborative and teamoriented,creative problem solvers,resilient to change, and interested in learningopportunities., • Experience withcell culture andrelatedmolecular biologyassays (WB/ELISA/etc.)areadditionallya plus. Benefits Offered: • 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 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 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 DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Role OverviewBuild and scale distributed pre-training frameworks· Set up DeepSpeed / FSDP / Megatron-LM across multi-node GPU clusters.· Create robust launch scripts, resilient checkpoints, and job monitoring (e.g. NCCL/GLOO/GPU).Turn mathematical ideas into fast production code· Prototype new optimizers or attention methods (like in PyTorch/NumPy/JAX orothers).· Convert them into efficient CUDA/Triton kernels with custom gradients and tests.Boost training efficiency and stability· Lead mixed-precision training, push bf16, fp8, etc, into daily runs, track their accuracy-vs-speed gains, and be able to analyze numeric stability· Apply kernel fusion, communication tuning, and memory optimization to reach state-of-the-art throughput.Accelerate research velocity· Build logging, metrics, and other experiment-tracking tools for rapid iteration.· Design ablation studies and statistical tests that validate—or refute—new ideas.· Mentor interns and junior engineers through clear async design docs and code reviews.You’ll work side-by-side with researchers, ship production code, and shape the future of large language models.Why You’ll Love This Job· Frontier-scale impact – Train and ship cutting-edge models powering MBZUAI research and industry collaborations.· Research × Engineering blend – Move breakthrough papers into real systems and publish your own results.· End-to-end mastery – Touch everything from petabyte data loaders to custom low-level kernels—experience that’s rare elsewhere.· Open, mission-driven science – Join a transparent culture tackling problems that truly advance AI.· Founding-team growth – Help set direction for IFM U.S. and lead the next generation of AI development.Key Responsibilities· Framework Ownership – Productionize a PyTorch/JAX pre-training stack and keep it reliable at scale.· Custom Optimizer Implementation – Code new algorithms in distributed frameworks directly from mathematical specs.· Experiment Infrastructure – Build reusable modules, logging, and metrics dashboards that speed up research cycles.· Performance Optimization – Apply kernel fusion, communication optimization, and memory management to thousands of GPU jobs.· Distributed Debugging – Rapidly diagnose gradient synchronization, collective-ops, or fault-tolerance issues.· Collaboration – Document designs clearly, run post-mortems, and partner with global research teams.QualificationsMust-Haves· 5 + years combined industry or hands-on research experience with large-scale deep-learning training.· Led at least one large-scale transformer pre-training run· Expert PyTorch or JAX/Flax plus DeepSpeed, FSDP, Megatron-LM, or MosaicML Composer.· Experience with distributed training at scale (100+ GPUs).· Proven multi-node GPU work (Slurm, K8s, or Ray) and NCCL/GLOO debugging.· Strong software engineering skills on large ML codebases· Ownership of mixed- or low-precision paths (bf16, fp8, 4-bit) with accuracy validation.· Clear written communication (design docs, RFCs, post-mortems).Nice-to-Haves· NeurIPS / ICML / ICLR papers or open-source contributions to major ML frameworks.· Experience implementing optimization algorithms (e.g., SGD variants, Adam, second-order methods).· Background in numerical computing.· Ability to translate math and· build high-perf CUDA/Triton kernels.Total compensation target:$300 K – $600 K (base salary + target bonus up to 30 %), commensurate with experience.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

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 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 Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: • Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc., • Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS., • Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars., • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions., • Document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 5+ years industry experience (GenAI and/or world model related) after graduation, • 4+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting, • In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models, • Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries, • Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL, • Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications • Strong background in math and statistics, • 5+ years experiences in industrial research, • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets, • Experience in leading R&D project & team dealing with international customers, • Leadership skills with excellent English communication & teamwork skills 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. #LI-JM1 Culture and Benefits | Bosch in the USA

Job Description HCT is seeking an interim Clinical Trials Subject Matter Expert for a 240+ bed hospital in California. The responsibilities include: • With direction from the PI, this position coordinates research activities. This position is also responsible for protecting the health, safety, and welfare of research participants., • Must be proficient in electronic health systems and databases used in research environment, or willingness to learn and demonstrate proficiency within six months of hire. Requirements: • Education: Minimum of a diploma from an accredited nursing school required. High School Diploma or General Education Development (GED) required., • Experience: Minimum two (2) years of clinical nursing experience in a hospital, clinic or similar health care setting within the last three (3) years required (Bachelor's degree may be substituted for one (1) year work experience)., • License: Registered Nurse License (California). Basic Life Support, • EMR: Epic Expenses are covered while on assignment including housing, airfare, and rental car. Earn $2,000 for every candidate or position placement from your referral that HCT successfully places! Submit Referral Here Keywords: Subject Matter Expert (SME), Clinical Trial Subject Matter Expert, Clinical Research Consultant, Clinical Research Manager, Clinical Trial Manager (CTM), Senior Clinical Trial Manager, Clinical Operations Manager, Director of Clinical Operations, Associate Director of Clinical Operations, Clinical Program Manager, Clinical Project Manager, Clinical Development Manager, Clinical Research Scientist, Clinical Scientist, Medical Affairs Manager, Research Nurse, Clinical Research Coordinator (CRC), Clinical Research Associate (CRA), Principal CRA, Clinical Trial Lead, Clinical Trials, Clinical Research, Clinical Operations, Phase I, Phase II, Phase III, Phase IV, Investigator-Initiated Trials (IIT), Multicenter Studies, Global Clinical Trials, Site Management, Trial Startup, Study Start-Up, Patient Recruitment, Site Activation, Clinical Monitoring.

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 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 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 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.

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 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 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 900 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 passionate and skilled Scientist to join our SIMS (Secondary Ion Mass Spectrometry) group. This is a fantastic opportunity to gain hands-on experience with advanced analytical techniques and contribute to the development of innovative materials. Position Overview: As a Scientist in our SIMS group, you will perform analysis of thin films using the SIMS tool. You will analyze and test both new and existing materials to identify their properties and characteristics, aiding in product development and improvement. Key Responsibilities: • Conduct comprehensive analytical work independently, including complex tasks., • Apply standard and non-standard techniques to determine the composition, properties, and structure of materials., • Prepare detailed reports on analytical results for customers, including interpretation of findings., • Provide technical reviews for reports prepared by other analysts., • Evaluate customer requests, determine testing requirements, and prepare project quotations., • Ensure adherence to schedule, budget, and performance requirements., • Potentially direct phases of revenue-producing projects. Work Schedule: Monday - Friday 8am-5pm (Some flexibility is required to accommodate occasional evening or weekend work when requested to support operational or business needs.) Qualifications Education and Experience: • PhD in Physics, Chemistry, Material Science, or Engineering with experience in materials characterization and surface analysis techniques. Skills and Abilities: • Must have experience with materials characterization tools., • Familiarity with quality system documents and compliance with all system requirements., • Strong analytical and judgment skills., • High level of computer literacy, accuracy, and attention to detail., • Excellent organizational skills with the ability to manage multiple assignments simultaneously., • Exceptional written communication skills. This position works with companies that deal with defense-related activities and is subject to ITAR (International Traffic in Arms Regulations). All accepted 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 What would set you apart?: • Relevant experience with SIMS. Why Join Us? At EAG Laboratories, we value innovation, collaboration, and professional growth. You will have the opportunity to work with a team of experts in a dynamic and supportive environment. We offer competitive compensation, comprehensive benefits, and opportunities for career advancement. Application Process: Interested candidates are encouraged to apply by submitting their resume and a cover letter detailing their relevant SIMS experience and qualifications. Physical Requirements: • The person in this position needs to occasionally move about inside the office or laboratory to access file cabinets, machinery, equipment etc., • Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours)., • Ability to handle small and fragile devices with tweezers and /or fingers., • Require close distance visual acuity with or without correction (Glasses, Contacts, 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. We will consider reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you. 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: experience what being a part of the Eurofins-EAG community feels like. 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: ✓ Medical, Dental and Vision Coverage ✓ 401k Company Matching ✓ Paid Time Off ✓ Wellness Program ✓ Education Assistance ✓ …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 an equal opportunity employer and prohibits discrimination, harassment, and retaliation in all of our employment practices. Eurofins EAG Laboratories recruits, hires, trains, promotes and administers all employment-related matters based on an individual's qualifications, abilities, and efforts. Applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, gender identity and/or expression, pregnancy, genetic information, disability, military and/or protected veteran status, and/or any other category protected by applicable federal, state, or local law. Eurofins EAG Laboratories is a Disabled, and Veteran Equal Employment Opportunity and Affirmative Action employer If you enjoy being immersed in technology, tackling problems head-on, finding solutions through teamwork, and taking pride in accomplishments, join us today! Check out our other EAG Laboratories opportunities: EAG Careers Eurofins USA Material Sciences is a Disabled and Veteran Equal Employment Opportunity employer.

Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Company Overview ID.me is a leading digital identity platform with more than 160 million registered members, trusted by fourteen federal agencies, agencies across 30 states, and over 600 enterprise brands. While widely recognized for powering secure identity verification for federal and state governments (NIST 800-63-3 IAL2/AAL2 compliant and Kantara-approved), ID.me Commerce & Loyalty is the company's high-growth commercial offering focused on customer acquisition and revenue expansion. ID.me Commerce & Loyalty enables retailers and ecommerce brands to reach high-value consumer groups — including military members, veterans, students, teachers, nurses, and first responders. By embedding secure identity and affiliation verification directly into the ecommerce checkout experience or loyalty platform, brands can confidently offer exclusive discounts while preventing fraud, abuse, and margin leakage. Beyond verification, brands gain access to millions of pre-verified users within the ID.me network who actively seek companies that support their communities. This combination of verification and distribution drives measurable results: new customer acquisition, higher conversion rates, increased average order value, and stronger lifetime value. In 2025, ID.me raised $340 million in a Series E round, valuing the company at over $2 billion — reinforcing its position as a trusted leader in digital identity and community-driven commerce. Role Responsibilities • Own and execute a territory-based sales strategy designed to meet or exceed bookings targets, prioritizing high-ACV opportunities where ID.me has a clear right to win., • Spend time in the field with prospects and customers, building executive-level relationships, strengthening trust, and accelerating deal progression through in-person engagement., • Proactively build and manage a qualified pipeline of enterprise retailers and ecommerce brands, leveraging persona-based messaging and partnering with Business Development to drive consistent coverage and measurable pipeline growth., • Lead consultative, value-based discovery to uncover core business challenges (e.g., customer acquisition, conversion lift, fraud prevention, margin protection) and quantify the financial impact ID.me Communities can deliver., • Clearly articulate ID.me's commercial value proposition — verification plus distribution — through compelling presentations, demos, and proposals that translate technical capabilities into revenue growth and ROI., • Develop strong product and industry acumen to confidently navigate technical conversations, address competitive dynamics, and manage complex procurement processes., • Build internal alignment and political capital to effectively progress opportunities, identify risks early, and proactively drive resolution., • Partner cross-functionally with Marketing, Solutions Consulting, and Customer Success to ensure seamless handoff, long-term value realization, expansion opportunities, and referrals., • Maintain deep awareness of industry trends, competitive positioning, and evolving community-based marketing strategies to continuously refine territory execution and maximize impact. Qualifications • At least 5 years in a quota-carrying, "hunter" sales role, • Year-over-year track record of achieving quota and being recognized as a top performer, • Knowledge of e-commerce, MarTech, and performance marketing personas and budgets, • Experience working with customers in apparel, consumer electronics, home goods, and/or sports and outdoors segments, • Closed opportunities with ACVs ranging from $100k to $1m on 6 to 12 month sales cycles, • Trained in leading sales methodologies (i.e. Command of the Sale, Message), • Experience selling technology into commercial markets, specifically top internet retailers, • Demonstrated success in interfacing with customers and building trust, • Experience working for a team in a startup at a growth stage is highly desired, • Experience with Salesforce Skills/Abilities • Entrepreneurial personality, capable of effectively solving problems with minimal guidance, • Results-driven, highly organized and detail-oriented with the ability to multitask, • Excellent written and verbal communications skills and ability to communicate to a broad range of audience types at all levels of the organization, • Ability to build relationships with customers, • Ability to manage the sales cycle from start to finish, • Ability to work independently and as part of a team, • Superb planning and time management skills, ability to prioritize tasks and ability to meet deadlines with little supervision, • Willingness to learn and adapt, • Competitive Compensation Vision: To be the world's leading digital identity network empowering people to control their own information and to prove their credentials across all channels: online, call center, and in-person. Mission: To make the world a more trusted place by delivering the highest level of security with the least amount of friction at the lowest possible cost. People: We have an audacious mission. We aim to fix the identity layer of the internet. Billions of people will live better lives with more trust and convenience thanks to ID.me. We are like Special Forces. We take on the most difficult challenges with amazing teammates. Our Core Values: Don't be a jerk. Always compete. Ask questions like a 5-year old. Inspire people with your passion. Make something better every day. Treat each customer like your favorite family member. Own your mistakes so you can learn from them. Details are everything. Act like a scientist, not a talking head. Be truthful (even when it's hard). Reflect ID.me's values in your actions. If the rule prevents the right outcome, then break the rule. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. Mountain View, CA Pay Range$150,000—$150,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

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 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. Position SummaryAs a member of the Agents team, you will tackle research and engineering challenges to train advanced agentic language models that are adept at using reasoning and tool use to complete tasks on a computer. These challenges range from building high-quality training datasets and robust evaluations to innovative reinforcement learning infrastructure, algorithms and environments. The team aims to recruit candidates across the research-engineering spectrum, from algorithmic and empirical research to large-scale systems and optimization, reflecting the breadth of interesting problems we aim to solve. We value depth in any subset of these areas; there is no single “right” background. Key Responsibilities· Propose, prototype, and scale algorithms/systems to support agentic learning· Develop new paradigms for agentic behavior that go beyond current practices· Contribute to technical reports, research publications, and open-source software· Collaborate with other teams to produce state-of-the-art foundation models Academic Qualifications• BS, MS, or PhD degree (or equivalent experience) in Computer Science, Machine Learning, or related fields Professional ExperienceMinimum· 2 years of experience working in one of the following or related areas: LLM training/fine-tuning, evaluations, reinforcement learning, LLM inference, distributed machine learning systems· Python and PyTorch development experience· Experience in using LLM agents for your personal or professional use· Experience in designing and implementing algorithms from scratch (for algorithms focus)· Experience in dataset curation and generation (for data focus)· Experience in building or contributing to training/serving infrastructure (for systems focus)· Experience in designing and deep diving into evaluations (for evals focus) Preferred Skills· Expertise in one or more of PyTorch, Ray, Triton, CUDA C++· Strong knowledge of literature on RL, LLM reasoning, and tool use· Experience in training or using LLM agents for SWE tasks· Deep understanding of reinforcement learning principles· Experience implementing distributed learning algorithms· Contributions to published research and/or open-source ML softwareVisa 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 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 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 hands-on AI builder to join Revenue Operations and help turn high-impact business use cases into real, deployed AI solutions. This is not a research or strategy-only role. You will design, build, and operationalize AI capabilities that are embedded directly into how Sales, Operations, and Finance work every day. As a Revenue AI Solutions Analyst, you will work at the intersection of business, data, and enterprise systems. You will partner closely with Sales Operations, Customer Operations, Service Operations, Finance, IT, and Data teams to translate real operational problems into working AI solutions and bring them into production. Essential Duties and Responsibilities: • Design and build AI and machine learning solutions across forecasting, pricing, Sales 360, service operations, and RMA., • Translate business workflows and use cases into scalable AI architectures and implementations., • Build prototypes, MVPs, and production-ready solutions using predictive models, ML pipelines, and LLM-based agents., • Embed AI capabilities into Salesforce and the broader Revenue Operations technology stack., • Work hands-on with domain teams to iteratively refine use cases and solutions based on real-world constraints., • Partner with IT, Data, and Security teams to ensure solutions are scalable, secure, and compliant., • Help define standards, patterns, and best practices for AI adoption within Revenue Operations. What This Role Is Not • Not a research or academic AI role, • Not a strategy-only or slide-focused role, • Not a vendor management or consulting coordination role, • Not a traditional data scientist working in isolation Why This Role Matters This role will have direct impact on revenue predictability, margin protection, and operational scale. You will help accelerate SanDisk’s adoption of AI in ways that materially change how the company operates, making Revenue Operations smarter, faster, and more resilient Qualifications Required: • Minimum 5-7 years experience, • Bachelor's degree required, Masters degree preferred., • Strong hands-on experience with Python and modern AI/ML frameworks, • Experience building predictive models, ML pipelines, or LLM-based solutions, • Experience integrating AI into enterprise systems such as CRM, ERP, or data platforms Preferred: • Ability to work with imperfect, real-world business data, • Strong understanding of business processes in Sales, Operations, or Revenue environments, • Ability to explain technical concepts clearly to non-technical stakeholders, • Pragmatic, delivery-oriented mindset with a bias for action 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 08/14/2026 (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-KH1 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 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 Description Description SUMMARY The Polymer Development Chemist will be responsible for providing technical expertise in polymer chemistry processes, supporting day-to-day manufacturing operations, and ensuring efficient, high-quality production. This role involves hands-on troubleshooting, training, and continuous improvement initiatives. The ideal candidate will possess strong analytical skills, a deep understanding of polymer chemistry, and the ability to work effectively in a fast-paced manufacturing environment. You will also support the generation and review of batch records, technical summary documents to support the timelines of individual projects, and the investigation and documentation of any deviations in production. The scientist drives the implementation of new component systems, part changes, and other process related activities to support ongoing and new projects. This position will also help the production team in implementing manufacturing protocols and performing in-process testing of products. The candidate will follow SOPs and work in compliance with safety, regulatory and quality guidelines. What you will do: • Develop and optimize polymer chemistry processes and chromatography columns conditions to improve manufacturing efficiency and product quality. • Identify and implement process improvements to enhance safety, yield, and cost-effectiveness. • Provide day-to-day troubleshooting support to manufacturing teams to resolve process-related issues in real-time. • Work closely with production operators, engineers, and quality teams to address process deviations and ensure continuous production. • Develop and deliver training programs for manufacturing operators and technicians on polymer chemistry processes (column packing & testing), safety protocols, and equipment operation. • Serve as a subject matter expert for polymer chemistry within the manufacturing team, providing guidance and support as needed. • Collaborate with R&D teams to ensure smooth integration of new processes into manufacturing, providing feedback and recommendations to optimize scalability and manufacturability. • Collect, analyze, and interpret process data to monitor performance, identify trends, and drive data-driven decision-making. • Ensure all processes comply with safety, environmental, and regulatory standards. • Lead or participate in cross-functional teams focused on continuous improvement initiatives, including Lean Manufacturing, Six Sigma, and other process improvement methodologies. • Develop, review, and update Standard Operating Procedures (SOPs), batch records, and other process documentation to ensure clarity and accuracy. • Ensure that all documentation meets internal quality standards and regulatory requirements. How will you get here? Education Bachelor’s or Master’s degree in Chemistry or a related field, with a focus on polymer chemistry. Experience • 3 years of experience in process development, manufacturing support, or a related role within a chemical, polymer, or related industry. Academia Ok. Knowledge, Skills, Abilities • Strong understanding of polymer chemistry, manufacturing processes, and equipment. • Excellent problem-solving skills with a hands-on approach to troubleshooting. • Proven ability to analyze data and drive continuous improvement initiatives. • Experience in training and developing technical staff. • Strong communication and interpersonal skills, with the ability to work effectively in a team environment. • Knowledge of safety, environmental, and regulatory standards related to chemical manufacturing. • Proficiency in using process modeling and statistical analysis software is a plus. Job Type & Location This is a Contract position based out of Sunnyvale, CA. Pay and Benefits The pay range for this position is $30.00 - $40.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Sunnyvale,CA. Application Deadline This position is anticipated to close on Jul 15, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

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 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 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 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, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), 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 Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description Job Responsibilites: • Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products., • Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both low and high frequency models., • Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding., • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions., • Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience, • Expertise with Time Series FMs (beyond the time series task of forecasting), • In-depth experience in signal processing for sensor data and their integration with deep-learning methods, • Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning, • A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects, • Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications • 3+ years of experience in industrial research, • Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI, • Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow), • Familiarity with high-performance computing systems and job schedulers (Slurm, LSF), • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets, • Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints Additional Information Your well-being matters at Bosch! We offer a competitive compensation and 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. We're investing in your success! 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. The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. #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 We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models—the next-generation foundation models to unlock machine intelligence beyond lingual. Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together. Key Responsibilities • Develop the foundational world model to accurately simulate the physical world., • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters., • Develop metrics and evaluation benchmarks to better assess model performance., • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation., • Optimize inference efficiency to enable real-time interaction. Areas of Focus, • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale., • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data., • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction., • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation., • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence., • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies. Academic Qualifications, • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience. Professional Experience, • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters., • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.)., • Experiences in building and optimizing large-scale video data pipelines., • Experience in accelerating diffusion model inference for improved efficiency., • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges., • Strong systems and engineering expertise in deep learning frameworks such as PyTorch., • Strong communication and collaboration skills for effective cross-functional teamwork., • Ability to navigate ambiguity and drive projects in rapidly evolving research areas., • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains. 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 At Lucile Packard Children’s Hospital Stanford, we know world-renowned care begins with world-class caring. That's why we combine advanced technologies and breakthrough discoveries with family-centered care. It's why we provide our caregivers with continuing education and state-of-the-art facilities, like the newly remodeled Lucile Packard Children's Hospital Stanford. And it's why we need caring, committed people on our team - like you. Join us on our mission to heal humanity, one child and family at a time. Job ID: LP_00017853-2655226 Job Description JOB SUMMARY This paragraph summarizes the general nature, level and purpose of the job. General supervisory duties of the REI laboratory supervisor include staffing, scheduling, yearly reviews and other personnel matters. The supervisor ensures staff provides high quality, accessible, care and patient focused services to members across the continuums, which comply with local, state and federal requirements. Implements and maintains clinical practice standards, clinical environmental standards and policies, budgets and staff development. ESSENTIAL FUNCTIONS The essential functions listed are typical examples of work performed by positions in this job classification. They are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Employees may also perform other duties as assigned. Employees must abide by all Joint Commission Requirements including but not limited to sensitivity to cultural diversity, patient care, patient rights and ethical treatment, safety and security of physical environments, emergency management, teamwork, respect for others, participation in ongoing education and training, communication and adherence to safety and quality programs, sustaining compliance with National Patient Safety Goals, and licensure and health screenings. Must perform all duties and responsibilities in accordance with the hospital's policies and procedures, including its Service Standards and its Code of Conduct. • Provide oversight of duties for other REI lab staff, including staffing, scheduling, and other duties according to laboratory specifications., • Ensures staff provides high quality, accessible, cost effective care and patient focused services to patients across the continuum in compliance with local, state and federal requirements., • Helps develop and maintain clinical standards of care and practice; responsible for resource budgeting and allocation. Implements and ensures adherence to standard operating procedures for the labs., • Liaison between laboratory staff, operational leadership and physicians., • Conducts performance evaluations and competency evaluations, • Oversees and monitors QA, QI and QC as delegated by the lab director, including proficiency testing., • Assists with development of goals for the REI Laboratory; monitor testing and quality control. Sets clear and specific tasks/goals for employees., • Troubleshoot issues, communicate and report findings to laboratory director., • Is accessible to laboratory personnel at all times to answer questions regarding testing, problem solving, or issues that may arise., • Demonstrates and articulates Patient Safety Goals; pro-actively mentors peers/team to contribute to Patient Safety practices and help to improve competencies. *Provides Training of REI lab staff. *Assists Lab Director in accreditation/certification and compliance activities. *Performs administrative duties including management of inventories, ordering of supplies, general and preventative maintenance of the lab equipment. Qualifications MINIMUM QUALIFICATIONS Any combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying. Education: Bachelor's degree in a work-related discipline/field from an accredited college or university. Master’s degree preferred. Experience: A minimum of 4 years of experience in high-complexity testing within an REI or IVF laboratory is required. A master’s degree may substitute for 2 years of this experience. License/Certification: Clinical Lab Scientist (CLS) certification by the CDPH is required. Technical Supervisor (TS) certification by the American Board of Bioanalysis 9ABB) preferred. KNOWLEDGE These are the observable and measurable attributes and skills required to perform successfully the essential functions of the job and are generally demonstrated through qualifying experience, education or licensure/certification. • Ability to apply judgment and make informed decisions., • Ability to conduct analysis and formulate conclusions., • Ability to foster effective working relationships and build consensus., • Ability to plan, organize, prioritize, work independently and meet deadlines., • Knowledge and in-depth understanding of chemical, biological or clinical laboratory science and medical technology., • Knowledge and proficiency in all aspects of clinical andrology procedures, including manual diagnostic semen analysis, therapeutic sperm processing and sperm cryopreservation., • Knowledge and proficiency in performing endocrine testing., • Knowledge of computer systems and software used in functional area., • Knowledge of local, state and federal regulatory requirements related to areas of functional responsibility., • Knowledge of new technologies (in specific field) and maintain and stay abreast of updates and changes. PHYSICAL REQUIREMENTS The Physical Requirements and Working Conditions in which the job is typically performed are available from the Occupational Health Department. Reasonable accommodation will be made to enable individuals with disabilities to perform the essential functions of the job. #LI-post Additional Information Pay Range Compensation is based on the level and requirements of the role. Salary within our ranges may also be determined by your education, experience, knowledge, skills, location, and abilities, as required by the role, as well as internal equity and alignment with market data. Typically, new team members join at the minimum to mid salary range. Minimum to Midpoint Range (Hourly): $62.65 to $81.44 Stanford Medicine Children's Health (SMCH) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SMCH does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements, and where applicable, in compliance with the San Francisco Fair Chance Ordinance.

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 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 Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: • Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc., • Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS., • Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars., • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions., • Document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science or Engineering, or a related discipline or master’s degree with 3+ years industry experience (GenAI and/or world model related) after graduation, • 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting, • In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models, • Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries, • Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL, • Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications • Strong background in math and statistics, • 3+ years experiences in industrial research, • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets, • Experience in leading R&D project & team dealing with international customers, • Leadership skills with excellent English communication & teamwork skills 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. #LI-JM1 Culture and Benefits | Bosch in the USA

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 Senior 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 >= 2/4 years industry experience after graduation., • A minimum of 5 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 --$185,000 - $215,000 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 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 of Product, Research Training Infrastructure. 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 DescriptionCalling all Big Thinkers! We are looking for an exceptionally minded mad scientist to join our team. Our company is known for pushing boundaries, pursuing green field ideas and redefining norms. The following skills will be necessary: • Ability to think out-of-the-box, • Healthy skepticism, • Unique problem-solving abilities, • Grit and determination

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, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), 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 Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description Job Responsibilites: • Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products., • Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals., • Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding., • Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions., • Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.Qualifications Basic Qualifications • Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience, • Expertise with Time Series FMs (beyond the time series task of forecasting), • In-depth experience in signal processing for sensor data and their integration with deep-learning methods, • Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning, • A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects, • Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications • 3+ years of experience in industrial research, • Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI, • Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow), • Familiarity with high-performance computing systems and job schedulers (Slurm, LSF), • Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets, • Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints Additional Information Your well-being matters at Bosch! We offer a competitive compensation and 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. We're investing in your success! 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. The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. #LI-JM1

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 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 innovative Dual Beam Analysis team, where you'll work with state-of-the-art microscopy tools to support imaging and materials analysis of client samples. We are seeking a skilled Scientist with expertise in Dual Beam FIB/SEM technology to play a critical role in advanced microscopy investigations. In this role, you'll prepare high-quality TEM lamella, perform SEM imaging and EDS analysis on FIB cross-sections to support detailed structural, compositional, and failure analysis for clients across diverse industries. You'll also contribute to critical dimension (CD) measurements, process optimization, and work closely with cross-functional teams to deliver timely analytical results for a wide range of semiconductor and materials characterization projects. The ideal candidate is a strong technical contributor who enjoys working directly with advanced tools, thrives in a collaborative, fast-paced laboratory environment, and takes pride in delivering results for clients. What You'll Do: • Support FIB/SEM operation, including TEM lamella preparation and FIB-SEM/EDS analysis., • Develop and implement automation workflows on Dual Beam (FIB/SEM) systems for lamella prep, cross-sectioning, and imaging., • Maintain pipelines for FIB sample preparation, SEM imaging, and data acquisition., • Perform image processing and analysis on 2D/3D FIB/SEM datasets., • Improve throughput, repeatability, and data quality of Dual Beam services., • Collaborate with cross-functional teams to solve failure analysis and materials characterization challenges., • Engage with a diverse customer base across multiple industries, providing technical consultation and guidance on analytical approaches and solutions. Work Schedule: 5pm-2am, Tuesdays to Saturdays (Shift differential will apply) Compliance Requirement (ITAR) This position supports work related to defense applications and is subject to ITAR regulations. Applicants must be U.S. Persons, defined as: • U.S. Citizen, • U.S. Permanent Resident (Green Card holder), • Political Asylee or RefugeeQualifications, • MS or PhD in Materials Science and Engineering or related field or equivalent industrial experience., • Must have in-depth knowledge of electron microscopy; Dual Beam (FIB/SEM) imaging., • Expert with SEM/EDX, or TEM sample preparation., • Solid understanding of semiconductor device physics and failure analysis (through previous work experience or course work)., • Excellent communication skills (written, verbal and presentation). What would set you apart: • 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 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 Senior 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 >= 2/4 years industry experience after graduation., • A minimum of 5 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 --$185,000 - $215,000 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 We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives. The Wireless Sensor and Embedded Systems group at Bosch Research is dedicated to research and development in a range of advanced technologies, including wireless AI, RF sensing, indoor localization, contactless vital sign monitoring, intelligent connectivity, low power IoT solutions, wireless charging, distributed intelligence, embedded AI/Light weight AI models, embedded systems, and cooperative security. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Job Responsibilities: • Drive applied research in the area of next generation communication and sensing systems, • Design and develop innovative intelligent wireless solutions with focus on advanced signal processing and AI/ML., • Design and develop software to implement proof of concept prototypes., • Conduct performance analysis and feasibility studies using simulations, experiments, analytical modeling., • Closely monitor state-of-the-art developments in academia, industry, and standardization activities (e.g. ZigBee, Wi-Fi, Bluetooth, UWB, etc.), • Present results to management and others in organization., • Develop and drive innovative ideas from scouting to projects, • Publish research work in the form of patents and conference/journal publications, • Work in a highly diverse, international, and cross disciplinary environment.Qualifications Basic Qualifications • PhD in Computer Science or Electrical Engineering, • Experience in wireless communication, signal processing and machine learning., • Experience in wireless sensing techniques: RSSI, ToF, CSI, CIR, • Experienced in using different machine learning libraries and tools, • Experience with wireless standards (IEEE 802.11x, 802.15.4, BLE) Preferred Qualifications • Strong C and Python programming skills, • Embedded programming experience is a big plus, • Excellent communication and collaboration skills Additional Information The U.S. base salary range for this full-time position is $140,000 - $160,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plans with an employer match; wellness programs; life insurance; short- and long-term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Equal Opportunity Employer, including disability / veterans. *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. For more information on our culture and benefits, please visit: Culture and Benefits | Bosch in the USA #LI-JM1

Job DescriptionCompany Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/. ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here. Account Manager, Commerce & Loyalty Company Overview ID.me is a high-growth enterprise software company that simplifies how people prove and share their identity online. The company empowers people to control their data through a portable and trusted login, which means they don't need to create a new password when visiting sites that have the ID.me button. ID.me's digital identity network has over 117 million registered members, and is used by fourteen federal agencies, agencies in 30 states and over 600 corporations for secure identity proofing and verification. Role Overview The Account Manager (AM) is a senior-level, quota-carrying position responsible for the health, retention, and aggressive expansion of our most critical commercial and eRetailing accounts. You are the "CEO" of your assigned book of business within the Commerce & Loyalty segment (e.g., oaktreeMilitary, First Responders, Students, Teachers, Nurses, etc.). Your mission is twofold: ensure 100% net retention through impeccable renewal management and drive year-over-year (YoY) growth by identifying and closing expansion opportunities within existing customer portfolios. Key Responsibilities • Revenue Ownership & Growth, • Quota Attainment: Carry and exceed a formal quota composed of both Renewal Revenue (GRR) and Expansion (NRR) within your assigned commercial accounts., • Land & Expand Strategy: Identify "white space" within current customers to expand Community Verification products, and drive growth via UX changes., • Upsell Execution: Lead the end-to-end sales cycle for expansion opportunities, from initial discovery to contract amendment and closing., • Renewal & Retention Excellence, • Lifecycle Management: Proactively manage the renewal process starting 180 days out, ensuring zero "dark" periods or budget lapses., • Churn Mitigation: Identify "at-risk" accounts early by monitoring usage health, program performance, and organizational changes (e.g., e-commerce leadership turnover or marketing budget shifts)., • Contract Negotiation: Navigate complex commercial procurement hurdles and vendor management processes to secure multi-year renewals and "sticky" master service agreements., • Strategic Account Governance, • Executive Alignment: Maintain and deepen relationships with key decision-makers in the procurement process , specifically targeting e-commerce, MarTech, and performance marketing personas to ensure our solution remains a top-tier budget priority., • Executive Business Reviews (EBRs): Lead high-impact EBRs that translate technical performance data into customer acquisition ROI, conversion rate optimization, and overall business objectives., • Voice of the Customer: Act as a strategic liaison between commercial clients and our Product team, providing feedback to product development teams to influence the roadmap based on retail-specific needs. Qualifications • Experience & Expertise, • The Commercial Tech Veteran: 5+ years of experience in a quota-carrying account management, customer success, or "hunter" sales role., • Industry Knowledge: Deep knowledge of e-commerce, MarTech, and performance marketing personas and budgets , with a preference for experience working with customers in apparel, consumer electronics, home goods, and/or sports and outdoors segments., • Quota Performance: A year-over-year track record of achieving quota, hitting retention targets, and being recognized as a top performer., • Deal Complexity: Experience managing portfolios and closing opportunities with ACVs ranging from $100k to $1m on 6 to 12 month sales cycles., • Skills & Competencies, • Commercial Savvy: Ability to navigate complex retail organizations and holding companies, maintaining account stability during executive transitions., • Analytical Growth Mindset: Skilled at looking at a massive internet retailer and mapping out a multi-year growth plan to capture every available brand and subsidiary., • Collaborative Leadership: Experience working closely with internal teams, including Marketing, Solutions Consulting, and Customer Success, to ensure customer satisfaction and success., • Startup Agility: Comfortable working for a team in a startup at a growth stage ; you possess an entrepreneurial personality capable of effectively solving problems with minimal guidance., • Consultative Problem Solving: Superb planning and time management skills with the ability to understand customer pains and provide effective solutions to meet their business objectives. Key Performance Indicators (KPIs) • Gross Retention Rate (GRR): Ensuring existing contracts renew on time., • Net Revenue Retention (NRR): Growth of the account via upsells and cross-sells., • Pipeline Velocity: Speed at which expansion opportunities move through the commercial procurement funnel. Our Core Values • Don't be a jerk., • Always compete., • Ask questions like a 5-year old., • Inspire people with your passion., • Make something better every day., • Treat each customer like your favorite family member., • Own your mistakes so you can learn from them., • Details are everything., • Act like a scientist, not a talking head., • Be truthful (even when it's hard)., • Reflect ID.me's values in your actions., • If the rule prevents the right outcome, then break the rule. ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit. Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors. U.S. Pay Range$129,500—$153,370 USDMountain View, CA Pay Range$129,500—$161,000 USD ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations. Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy. ID.me participates in E-Verify.

US is America’s home to buy, trade, and earn digital assets.We’re a remote-first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all.BAM Management US Holdings Inc.BAM Management Canada Holdings Inc.As a Senior Product

This role is responsible for designing and scaling causal measurement and personalization systems that determine how we serve users while balancing customer value, partner economics, and long-term trust.

About 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 are seeking a talented and motivated Data Scientist to join our Machine Learning team. In this role, you will contribute to a wide range of data-driven projects, from exploratory data analysis to building and deploying machine learning models for a variety of Security and Networking use-cases. You will work closely with cross-functional teams to uncover insights, solve complex problems, and drive data-informed decision-making. Responsibilities • Data Analysis and Visualization: Conduct exploratory data analysis (EDA) to understand data characteristics and identify patterns. Utilize data visualization techniques to communicate insights effectively., • Data Preparation and Engineering: Ingest, clean, preprocess, and transform data to prepare it for analysis and modeling. Handle missing values, outliers, and inconsistencies. Labeling datasets appropriately for classification problems., • Machine Learning: Build, train, and evaluate custom machine learning models for security use-cases such as threat/vulnerability detection, including traditional algorithms like CNNs, LSTM, Boosted Decision Trees, DNNs as well as newer NLP/Vision models using Transformers, Mamba etc., • Model Deployment: Collaborate with engineering teams to deploy models into production, ensuring scalability and reliability. You need to be aware of and have experience in model quantization, model evaluation and various deployment formats like ONNX, GGUF etc., • Problem-Solving: Apply critical thinking and problem-solving skills to tackle complex data challenges, to continually improve training pipelines and optimize inference., • Collaboration: Work effectively with data engineers, analysts, and domain experts to understand business requirements and translate them into actionable data insights. Qualifications • Master’s degree in computer science/engineering., • 4-5 years of experience in data science or a related field., • Strong proficiency in Python programming language., • Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn)., • Knowledge of machine learning algorithms and techniques., • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)., • Experience with natural language processing (NLP) and large language models (LLMs) is a plus., • Strong problem-solving and analytical skills., • Excellent communication and collaboration skills., • Preferred Qualifications:, • Experience with Go/Rust programming language., • Experience working with threat modeling and detection, anomaly detection or related fields is a bonus., • Distributed training frameworks such as RAPIDS, Dask, Ray is preferable., • Knowledge of cloud platforms (e.g., AWS, GCP, Azure)., • Experience with data version control and MLOps frameworks such as MLFlow/ClearML., • Familiarity with cloud-native DevOps such Docker, K8s, Helm, Terraform. Location: US *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 $170,000 to $225,000. 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. 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.