Trabajos scientist en San Jose, CaliforniaCrear alertas

Job DescriptionLittle Medical School Instructor (Part-Time) Love working with kids? Interested in medicine, science, or education? Little Medical School is looking for energetic, enthusiastic instructors to bring hands-on medical and STEM experiences to kids ages 3–14! This is a fun and rewarding part-time opportunity where you’ll lead interactive classes, introduce kids to real (age-appropriate) medical tools, and inspire them through hands-on activities, role-playing, and creative learning. What You’ll Do • Teach engaging after-school programs, camps, and special events, • Lead fun, interactive lessons using our provided curriculum, • Create a positive, welcoming, and exciting classroom environment, • Encourage kids to explore healthcare, science, and STEM through hands-on learning, • Help students build confidence while having fun and learning something new!Who We’re Looking For We’re looking for someone who is: • Energetic, enthusiastic, and comfortable working with kids, • Reliable and confident leading a group, • Friendly, patient, and engaging, • A strong communicator who enjoys making learning fun, • Experienced working with children through teaching, coaching, babysitting, tutoring, or similar activities No medical background? No problem! A passion for working with kids and a willingness to learn are what matter most. Bonus Experience (Not Required) Any of the following are a plus: • Background in healthcare, education, science, or STEM, • Pre-med, nursing, education, or other related studies, • Drama or theater experience, • Experience leading camps, clubs, sports, or other children's programsSchedule, • Part-time with flexible hours, • Classes primarily weekday afternoons, typically 2–6 PM, • Additional opportunities to teach camps and special events, • Great opportunity for students, educators, coaches, and anyone looking for meaningful part-time workWhy Join Little Medical School?, • Make learning fun: Teach through hands-on activities, role-playing, and real-world experiences, • Build valuable teaching skills: Gain experience leading groups and communicating with children, • Enjoy a flexible schedule: Work part-time hours that fit around your other commitments, • Make an impact: Help kids discover an interest in medicine, science, and STEM, • Have fun while you work: Every class is an opportunity to inspire a future doctor, nurse, scientist, or healthcare professional! Come help us make learning exciting—and show kids that medicine and science can be fun! Requirements -Must be 18 years of age or older -Pass a live-scan background check -Experience working with preschool-aged children (preferred) -Reliable vehicle -Willingness to take TB Test required within the last 12 months (after hired) -Complete CA Mandated Reporter Training (after hired) Benefits -Competitive pay rate $25-30/hour (based on experience) -Paid training/meetings -Sales bonuses -401k -Paid travel time between locations -Opportunities for growth within the company -Company paid ECEs -Flexible hours

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: The Data Science team is expanding and is looking for a Data Scientist to help build the next generation of agentic systems for cybersecurity. CrowdStrike's cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day. You'll work where Machine Learning, Big Data, and Cybersecurity converge — training models, building AI agents, and rigorously measuring whether they work — on data and problems you won't find anywhere else. Work at the intersection of Artificial Intelligence and Threat Research Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor Optimize prompts and inference to get the most out of every model Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production Keep track of developments in the field of Artificial Intelligence and help identify, define, and prioritize areas for research Excellent foundations in machine learning, probability, and statistics, with sound instincts for uncertainty, statistical skew/variance, and experimental design PhD-level depth of understanding in modern machine learning research —a doctorate itself is not required, but we expect equivalent mastery, including the ability to read, critique, implement, and improve upon current papers Experience training generative models, with a strong command of LLM training fundamentals (architecture, optimization, tokenization, data, and scaling behavior) Reinforcement learning / post-training as a core skill: RLHF/RLAIF, policy optimization (PPO/GRPO/DPO), reward modeling, and building RL environments for agents Experience building agentic systems: agent architectures (ReAct, planning, reflection), tool and function calling, and retrieval/memory/context management Experience with systematic prompt optimization, and with designing and building evals for LLM systems Fluency with GPUs, PyTorch, and the common LLM training and serving stack (e.g., Hugging Face Transformers/TRL/PEFT, DeepSpeed/FSDP, vLLM/TGI/SGLang) Strong, reproducible research engineering: clean Python and disciplined experiment tracking that your collaborators can build on Ability to work independently on ambiguous and complex objectives, and to communicate clearly within a large project team Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Experience generating training data and environments — synthetic data, agent trajectories/rollouts, and task simulators Familiarity with inference-time scaling / test-time compute (search, self-consistency, verifier-guided decoding, long chain-of-thought) Experience with agent safety and guardrails: sandboxing, abuse/jailbreak resistance, and reliability for autonomous systems A knack for interpretability and failure analysis — diagnosing why a model or agent fails, not just that it does Notable open-source contributions and excellent technical writing Passionate about cybersecurity, with a firm understanding of the problem space — or passionate about applying your machine-learning skillset to a new domain such as cybersecurity (a security background is a plus, not a requirement) An independent self-starter who likes to take ownership and seeks out new challenges, and is thirsty for knowledge — never hesitant to step outside your comfort zone to learn new technologies, algorithms, and concepts #LI-Remote #LI-RC1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at _ for further assistance. _ CrowdStrike participates in the E-Verify program. _ _ CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off. For detailed information about the U.S. benefits package, please _. Expected Close Date of Job Posting is:08-12-2026

Job DescriptionBenefits: • Partial Mileage Reimbursement, • Flexible schedule, • Free uniforms Responsibilities: • Facilitating a one-hour after-school science enrichment program using a pre-set curriculum., • Each session is a high-energy, part entertainment, part education, hands-on class that meets for one hour each week for 8-10 weeks., • Enjoy teaching young children the art of science!, • Occasional daytime programming if your availability allowsQualifications:, • Some experience working with groups of elementary-age (4-12) children (preferred)., • Must be available at least two weekdays after 2 p.m., • Must have a reliable transportation that is not public or ride share, • All employees will be fingerprinted for criminal background checks(required), • Some college, • Have a fun & outgoing personalityWe train you in the curriculum and provide all materials. Mad Science classes follow the school calendar and are presented year-round. This is part-time and rewarding work if it fits with your schedule and lifestyle. $50 per class conducted

Job DescriptionClinical Lab Scientist (Hematology)Location: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! Ascend Clinical, LLC is one of the highest-volume clinical laboratories in the United States, processing millions of tests each month with advanced tools and technology. For over 30 years, we've set the standard for service and excellence in testing. What sets Ascend apart is our unique combination of clinical and healthcare water testing as we drive innovation across multiple areas of laboratory science. We're growing rapidly and looking for individuals who thrive in a fast-paced environment, embrace new challenges, and want to help shape what's next. Job Summary: As a Clinical Laboratory Scientist (Hematology) you will perform routine laboratory testing as well as basic instrumentation maintenance and troubleshooting and accurately perform routine laboratory testing in accordance with protocols established. The CLS will correlate and integrate other patient data when interpreting test results and report results, which are substantiated by the proper use of appropriate quality control systems. The CLS will also use professional judgment and have an in-depth knowledge of laboratory techniques, scientific principles, quality control and instrument maintenance. This is a per diem role. Essential Functions: • Follow all company policies and procedures: general policies, Exposure Control, Chemical Hazard, Illness and Injury Prevention Program and Quality Assurance Program. Understands the hazards associated with failing to follow those procedures, • Perform Quality Control (QC) procedures and interpretation of clinical values, including critical values and delta checks. Knows when test results are reportable and what to do in case of Quality Control failure., • Perform and log routine daily, weekly and monthly maintenance and calibration of laboratory instrumentation according to protocols, • Perform, evaluate and report all routine laboratory tests in chemistry and/or immunology under the supervision of a licensed Clinical Laboratory Scientist and according to established AC protocols. Strictly adheres to written procedures, • Know protocol for handling critical values including rerunning tests, review of past results and phoning unit with results. Interact with Client Services, when necessary and appropriate, when results need to be phoned. Handle and investigate complaints, problems and discrepancies, as needed, • Apply current scientific principles to clinical situations and demonstrate thorough knowledge of instrument operation., • Participate in the Quality Assurance program and in in-service education programs, • Oversee, review and verify work of Medical Laboratory Assistants (MLA) Qualifications: • Strong Knowledge of accepted clinical laboratory practice and procedures including handling of potentially infectious material and familiarity with California law relating to the practice of medical technology., • Moderate computer skills, good quality control and instrument maintenance knowledge., • Strong communication skills, both written and verbal., • Analytical problem-solving skills, proficiency in performing detailed tasks thoroughly and completely, and the ability to follow complicated instructions with accuracy., • Good organizational skills., • Strong knowledge of multiple specialties and of quality control and calibration., • Strong knowledge of lab equipment and procedures., • Clinical Laboratory Scientist license from the State of CaliforniaCompensation:, • $55-65/hr, • Compensation may vary for different individuals in the same role based on several factors, including but not limited to individual competencies, education/professional certifications, experience and performance in the roleBenefits: As an Ascend Clinical employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. Ascend is an Equal Opportunity Employer - M/F/Disabled/Veteran Ascend Clinical, LLC is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The company’s policy is to recruit, hire, train, promote and administer all employment-related matters on the basis of an individual's qualifications, abilities and efforts without regard to protected status. Powered by JazzHR z9o3UNJ81i

Job DescriptionCompany Description 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 Embodied and Cyber-physical AI industry. Key responsibilities include: Key Responsibilities • Conduct research and engineering in core AI and machine learning fields to enable industrial embodied AI—including computer vision, autonomous navigation, and adaptive manipulation—specifically for manufacturing, shop-floor automation, logistics, and material handling domains., • Push the boundaries in industrial robotics by incorporating advancements in large vision-language-action models to enhance real-time factory reasoning, multi-robot coordination, and operational safety., • Collaborate cross-functionally with global manufacturing engineering, plant operations, and product development teams to ensure seamless technology transfer from simulation to physical shop-floor hardware and systems integration., • Implement research results to solve complex, real-world industrial challenges, ensuring high-reliability system integration within Bosch’s smart manufacturing and Industry 4.0 platforms (such as APAS and active production environments)., • Stay at the forefront of industrial innovation by actively engaging with manufacturing technology consortia, automation communities, and specialized conferences focused on industrial robotics and factory automation., • Document and disseminate research findings through high-caliber publications, industry white papers, and/or foundational patent submissions tailored to industrial automation and robotics.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 Description Position TitleSenior AI Scientist – Drug Discovery & Computational BiologyDomain EXPHealthcareLocationBoston, MA - HybridDurationC2CRate $80/Hr Indent ID PSL308177-2-1Must Have Drug Discovery & Computational BiologyJob DescriptionWe are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in: • AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications., • Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery., • Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation., • AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization., • Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows. The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams. All candidate submissions should come with valid documents and ID proof. Submission Matrix:Name of the candidateContact#Email IDLocationAvailabilityVisaRateSupplier NameParticularDetailsLinkedIn profile LinkPtalent Applicant idJob#Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months Skill MatrixSkillYears of experience

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 Description BEPC is actively looking for a Scientist I – Reagent Production in the Santa Clara, CA area! W2 Contract – 6 months with possible extensions. Benefits include medical, dental, vision, and life insurance. Pay Rate: $45.00 – $50.77/hour – Determined based on experience (Paid Weekly) Work Model: Fully Onsite – Laboratory Environment Work Location: Santa Clara, CA 95050 Note: This is a W2 only role — C2C, C2H will not be considered. Summary of the Position BEPC is seeking a highly motivated Scientist I – Reagent Production to join our client’s site in Santa Clara, CA. This role will support reagent manufacturing, quality control (QC), laboratory documentation, and production database management for a sequencing technology platform. The ideal candidate will have hands-on laboratory experience, strong analytical and documentation skills, and the ability to work effectively in a fast-paced, highly technical environment. This position involves supporting reagent production and scale-up activities, maintaining accurate production records, and performing laboratory quality control activities. Main Duties and Responsibilities • Perform reagent production, quality control (QC), aliquoting, and labeling activities., • Support reagent manufacturing and scale-up activities for research and development (R&D) operations., • Edit, update, and maintain batch records, QC methods, work instructions, and test procedures., • Accurately enter final production batch records, test results, and related documentation into database systems., • Review, verify, and edit previously entered production records to ensure accuracy and completeness., • Assist with QC protocol writing, specification setting, and documentation maintenance., • Distribute reagents to internal customers and manage stock inventory., • Perform laboratory testing and reagent quality assessments using established procedures., • Collaborate with cross-functional teams to support production activities and operational needs., • Maintain meticulous laboratory execution and documentation in a rapidly changing environment. Main Qualifications • Education: Bachelor's degree (B.S.) in Biochemistry, Chemistry, Molecular Biology, or a related discipline., • Experience: 1–2 years of relevant or equivalent experience., • Laboratory Techniques: Working knowledge of wet laboratory techniques, including:, • pH measurements, • Conductivity measurements, • Osmolality measurements, • Colorimetric analysis, • Documentation: Demonstrated ability to maintain accurate, detailed, and organized laboratory documentation., • Analytical Skills: Strong analytical and critical-thinking skills, with a methodical approach to troubleshooting., • Attention to Detail: Meticulous attention to detail when performing laboratory procedures and maintaining production records., • Communication: Strong written and verbal communication skills., • Adaptability: Ability to work effectively in a dynamic, fast-paced, and rapidly changing laboratory environment., • Physical Requirements and Working Conditions:, • Ability to work onsite in a laboratory environment., • Ability to lift up to 25 lbs., • Ability to perform sustained precision liquid handling and repetitive laboratory tasks. Preferred Qualifications • Experience writing and following Work Instructions, Batch Records, and Standard Operating Procedures (SOPs)., • Ability to communicate effectively with individuals across different functions, technical skill levels, and professional backgrounds. About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. Apply Now! \nCompany Description About BEPC BEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive. With competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth. About BEPC\n\nBEPC Inc., founded in 2007, is a 100% employee-owned company providing top-tier consulting and staffing solutions across industries like technology, engineering, manufacturing, and project management. At BEPC, we are driven by innovation and a commitment to excellence. We take pride in fostering a collaborative and innovative environment where our team members thrive.\n\nWith competitive benefits, including medical, dental, vision, and life insurance, BEPC is dedicated to supporting our employees' personal and professional growth.

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 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 Qualifications PhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI. Compensation $150,000 – $450,000/year + discretionary performance bonus + benefits The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits. 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 Professional Experience Minimum 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. 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 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- 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 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 DescriptionCareer Switchers: for People Moving from Non-Tech TO Tech Domain Knowledge Is an Asset Until You Cannot Query It Teachers, finance ops, marketing coordinators, researchers, and business analysts often have the judgment companies want and none of the stack they screen for. You cannot get a data analyst interview because your resume still reads like your last industry, not like SQL, Tableau, and a project that answers a business question. SynergisticIT Data Science JOPP is a fit for career changers who want data analyst and adjacent analytics jobs. Python is helpful but not required to apply. Basics in math or statistics help. The program builds the technical layer on top of the domain sense you already have. Translate Your Past Into Analyst Language You learn SQL, visualization, data cleaning, and enough statistical reasoning to survive case interviews. Projects are chosen so you can say, "Here is a dataset, here is the question, here is the dashboard, here is the recommendation.” That sentence hires career switchers. Vague claims about being a "people person who loves Excel” do not. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone—and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma—they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ A Practical On-Ramp Into Data Teams After successful completion, people are hired into data analyst and hybrid roles, with program salary ranges often $86k–$150k+ and employers across retail, banking, healthcare, and tech. You do not need to pretend you were a data scientist in 2019. You need a current, honest, hireable profile. If self-study has not produced interviews, you are missing structure and distribution. Switch with a placement program, not a hope and a certificate. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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 We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team’s human efforts into durable automated systems, whose performance is quantitatively verifiable. Compensation $150,000 – $400,000/year + discretionary performance bonus + benefits The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits. 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 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 DescriptionJob Description:About MaxInsights Maxinsights is a pioneer in embodied robotics data solutions. We provide end-to-end data infrastructure, from multimodal data collection and annotation to algorithm-ready dataset delivery, for leading robotics foundation model companies and embodied AI labs worldwide. Job Overview We are looking for an Applied Scientist/Research Engineer to improve the quality of training data and evaluation systems used to develop advanced AI models. In this role, you will investigate how data quality, dataset composition, and evaluation methods influence model performance. You will design experiments, develop data curation and scoring methods, analyze model failures, and build tools that help us identify the data most valuable for training and improving AI systems. This role is ideal for someone with a strong background in applied ML research, data-centric AI, or model evaluation who enjoys turning research insights into practical improvements. What You Will Own Develop methods for training data curation, quality scoring, dataset selection, and data mixing. Design evaluation frameworks and benchmarks to measure model capabilities and identify performance gaps. Analyze model failures to understand how training data affects model behavior and generalization. Apply techniques such as active learning and human-in-the-loop evaluation to improve data efficiency and annotation quality. Build automated tools and pipelines to improve data quality while reducing annotation costs and manual effort. Design and run experiments to measure how data improvements translate into better model performance. Collaborate with research, engineering, and data operations teams to turn findings into scalable solutions. Required Qualifications Experience in applied ML research, data science, AI evaluation, or a related technical field. Strong Python skills and experience with relevant ML frameworks and data processing tools. Experience with one or more of the following: training data curation, dataset optimization, model evaluation, benchmark development, active learning, or post-training. Strong experimental design and analytical skills, with the ability to connect data characteristics to model performance. Experience developing technical solutions, research methods, or automated pipelines rather than only performing annotation or data labeling. Ability to communicate research findings clearly and translate them into actionable improvements. Preferred Qualifications Experience at AI data or model development companies (ex. Scale AI, Mercor, Surge AI, or similar organizations). Experience improving model performance through better training data or dataset composition. Experience building evaluation frameworks or analyzing model failures. Experience with human-in-the-loop systems, annotation quality measurement, or data selection algorithms. Research publications or demonstrated applied research contributions are a plus. Default Benefits: Health insurance Vision care Dental coverage 401(k) Paid holidays PTO (Paid Time Off) Sick leave

Job Description Job Summary: We seek a Senior ML Scientist to drive innovation in AI ML-based dynamic pricing algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: • 8 years in machine learning, 5 years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence., • Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization., • Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding., • Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning)., • Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch, • Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities:, • Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations., • Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges., • AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion., • Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms., • Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance., • Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact., • Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models.

Job DescriptionMedical Lab AssistantLocations: Sunnyvale, CAWhy Ascend?Come work for a company that is transforming the industry! Ascend Clinical, LLC is one of the highest-volume clinical laboratories in the United States, processing millions of tests each month with advanced tools and technology. For over 30 years, we've set the standard for service and excellence in testing. What sets Ascend apart is our unique combination of clinical and healthcare water testing as we drive innovation across multiple areas of laboratory science. We're growing rapidly and looking for individuals who thrive in a fast-paced environment, embrace new challenges, and want to help shape what's next. Job Summary: As a Medical Laboratory Assistant, you will assist the Clinical Laboratory Scientist (CLS) with routine specimen processing in accordance with protocols established by Ascend Clinical. You will process specimens, perform some test preparation, specimen verification and tracking, all related clerical functions and general laboratory tasks. You will also assist in placing specimens on automated instruments and work with the laboratorians for documentation review and computer verification. Our company has Hematology, Preanalytics, Chemistry, Environmental, and Immunochemistry departments. Responsibilities: • Knows and complies with Ascend Clinical policies and procedures: general policies and Exposure Control (blood borne pathogens), Chemical Hazard, Illness and Injury Prevention Program and Quality Assurance Program. Understands the hazards associated with failing to follow those procedures., • Organizes work for large batch processing appropriately. Prioritizes tasks and organizes work for efficient completion., • Documents in a clear, concise and thorough manner. Sees that all paperwork is completed properly during the shift., • Sets up automated instruments., • Performs quality control procedures on instruments., • Performs routine testing on automated instruments., • Performs minor hardware troubleshooting on automated instruments., • Actively participates in facility's Quality Assurance program., • Assumes responsibility for special projects, as directed by Management. Qualifications: • High School Diploma or GED required, college preferred., • Background in chemistry, math, medical terminology, knowledge of specimen preparation techniques, and principles of operation of common laboratory instruments., • Capability of performing repetitive work with a high degree of precision., • Capability of working biologic specimens in a safe manner., • Able to read, write, speak, understand and communicate.Compensation:, • $22-$25/hr, • Salaries may vary for different individuals in the same role based on several factors, including but not limited to individual competencies, education/professional certifications, experience and performance in the role.Benefits: As an Ascend Clinical employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options. Ascend is an Equal Opportunity Employer - M/F/Disabled/Veteran Ascend Clinical, LLC is committed to promoting an equal employment opportunity workplace environment and is an equal opportunity employer. It is the policy of the company that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, citizenship, pregnancy, genetic information (GINA), disability, military and/or veteran status, and/or any other status protected by applicable Federal, state, or local law. The company’s policy is to recruit, hire, train, promote and administer all employment-related matters on the basis of an individual's qualifications, abilities and efforts without regard to protected status. Powered by JazzHR g0wF6H4xjf

Job Description Career Gap to Tech Career — Rebuild Momentum With Java or Data Skills If you have been unemployed for several months, returning to the job market can feel frustrating. You may have talent, education, or past experience, but hiring teams often look for recent proof that your skills are current. A career gap does not define your ability, but it does mean you need a strategy to rebuild confidence and show employers that you are ready. SynergisticIT is considering candidates interested in Java development, Python development, full-stack engineering, data analytics, data science, data engineering, DevOps, and ML/AI programming. This opportunity is especially relevant for candidates with career gaps, layoffs, limited experience, or outdated technical stacks.Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience, • Please check below links:, • Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ • please read our blogs, • Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/, • Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for candidates with gaps because it helps rebuild momentum through structured upskilling, practical project work, resume improvement, interview preparation, and job-search support. Instead of applying randomly, candidates can work toward a more current and employer-ready profile. Do not let a career gap stop your progress— Contact us and restart with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job DescriptionCareer Switchers: for People Moving from Non-Tech To Tech Domain Knowledge Is an Asset Until You Cannot Query It Teachers, finance ops, marketing coordinators, researchers, and business analysts often have the judgment companies want and none of the stack they screen for. You cannot get a data analyst interview because your resume still reads like your last industry, not like SQL, Tableau, and a project that answers a business question. SynergisticIT Data Science JOPP is a fit for career changers who want data analyst and adjacent analytics jobs. Python is helpful but not required to apply. Basics in math or statistics help. The program builds the technical layer on top of the domain sense you already have. Translate Your Past Into Analyst Language You learn SQL, visualization, data cleaning, and enough statistical reasoning to survive case interviews. Projects are chosen so you can say, "Here is a dataset, here is the question, here is the dashboard, here is the recommendation.” That sentence hires career switchers. Vague claims about being a "people person who loves Excel” do not. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. You're not alone—and you're not the problem. The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's. Employers want more than a diploma—they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one. That's exactly what SynergisticIT delivers.Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ A Practical On-Ramp Into Data Teams After successful completion, people are hired into data analyst and hybrid roles, with program salary ranges often $86k–$150k and employers across retail, banking, healthcare, and tech. You do not need to pretend you were a data scientist in 2019. You need a current, honest, hireable profile. If self-study has not produced interviews, you are missing structure and distribution. Switch with a placement program, not a hope and a certificate. When nothing else works, JOPP works. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Job Description Indent : PSL307525-6 Role : Senior Data Scientist / AI Engineer Location : Remote Salary: $120k to $125k IMP: - Skills - Agentic AI (A2A , MCP) , Azure Cloud , healthcare -payer space experience. Exp : 10 Job description:- We're looking for a few Senior Data Scientist / AI Engineer with deep expertise in advanced Machine Learning, Large Language Models (LLMs) and Knowledge Graphs,. This role is ideal for someone who enjoys solving complex problems, building intelligent systems end to end, and driving measurable impact in data rich environments. What You'll Do: • Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning., • Own end to end MLOps pipelines: data ingestion, training, deployment, monitoring, CI/CD., • Collaborate with engineering, product, and domain teams to deliver production ready AI solutions., • Build and scale Knowledge Graph–driven AI systems (ontology design, graph embeddings, reasoning)., • Develop and fine tune LLMs for classification, summarization, RAG, and agentic workflows. What We're Looking For: • PhD (preferred) or Master's in CS, AI, ML, Data Science, or related fields. Strong hands on experience with: • Core ML & Stats (optimization, supervised/unsupervised learning), • NLP (semantic search, embeddings, text modeling), • MLOps (MLflow, Kubeflow, Airflow, Docker, CI/CD), • Proficiency in Python, PyTorch/TensorFlow, HuggingFace, LangChain, and cloud platforms., • Ability to translate complex ideas into scalable, real world systems., • Knowledge Graphs (RDF/OWL, Neo4j, graph ML), • LLMs & Transformers (fine tuning, RAG, prompt engineering) Preferred • Healthcare insurance / Managed Care (MCO) experience — familiarity with claims, clinical workflows, risk models, or regulatory frameworks is a strong plus., • Experience with vector databases, hybrid semantic neural architectures, or agentic AI systems., • Background in explainable or responsible AI.

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 • Lead strategic research and engineering initiatives in AI safety, alignment, and model reliability, with direct application to ADAS feature releases and autonomous systems., • Advance generative world models, simulation frameworks, and physical reasoning techniques to evaluate complex driving edge cases and validate system behavior., • Collaborate with global R&D teams to seamlessly transfer cutting-edge safety frameworks and machine learning algorithms into operational platforms and production pipelines., • Implement rigorous safety validation, out-of-distribution (OOD) detection, failure mode analysis, and uncertainty estimation methods to ensure robust platform integration., • Monitor emerging developments in foundation models and safety alignment, representing the organization by presenting at top-tier conferences (e.g., NeurIPS, CVPR, ICLR, ICRA) and publishing high-impact research., • Provide expert technical counsel to senior leadership to guide strategic R&D roadmaps, investment decisions, and patent portfolio growth in trustworthy AI.Qualifications Basic Qualifications • Ph.D. in Computer Science, Machine Learning, Robotics, Artificial Intelligence, or a related quantitative field., • 3+ years of dedicated research experience (academic or industry) focusing on world models, generative dynamics, self-supervised learning, or physical reasoning for autonomous systems., • 2+ years of industrial R&D experience in creating, fine-tuning, and deploying large-scale machine learning models and safety-critical algorithms into production or testing environments., • Hands-on engineering proficiency in Python and deep learning frameworks (PyTorch or JAX). Preferred Qualifications • Deep theoretical and practical expertise in AI safety techniques, including alignment, adversarial robustness, interpretability (XAI), failure mode analysis, and uncertainty quantification., • Strong low-level engineering experience with C++ and high-performance distributed training pipelines for system integration., • Proven track record of peer-reviewed publications in top-tier machine learning or robotics venues (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICRA)., • Demonstrated experience generating intellectual property and securing patent contributions in trustworthy AI or autonomous systems. 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 JOB SUMMARY The R&D Scientist I plays a critical role in driving experimental execution and innovation within NGS platforms for diagnostic enhancements. This position requires skillsets in experimental design, execution, data interpretation, and technical documentation. KEY RESPONSIBILITES · Design and perform specific experiments in support of R&D projects in NGS, Molecular or Cell Biology platforms. · Work with clinical team to validate and transfer tests to clinical diagnostic workflows · Work with Product Development Team to plan and execute R&D strategies · Assist with laboratory training and education of external team · Develop Standard Operating Procedures (SOPs) · Perform clinical tests as needed after proper training · Prepare validation materials for review in adherence to regulatory agencies and requirements · Conduct routine lab duties as assigned by R&D supervisor Requirements Required · Education: Ph.D. in Biological Sciences · Experience: Experience in molecular biology techniques. COMPETENCIES Demonstrated success in technical documentation Ability to troubleshoot and resolve issues that arise during test design, optimization and validation Bioinformatics skills and knowledge is a plus PHYSICAL DEMANDS AND WORK ENVIRONMENT Frequently required to sit. Frequently required to utilize hand and finger dexterity. Frequently required to talk or hear. EEO Statement: AccuScan Sciences is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.

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. 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 We are seeking experienced Scientists who are passionate about hands-on analysis, advanced characterization techniques, and delivering impactful results for clients across a wide range of industries. Join our Advanced Microscopy team and play a key role in solving complex materials and semiconductor challenges using cutting-edge Transmission Electron Microscopy (TEM). 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 *10% shift differential will apply Lab locations: Milpitas or Sunnyvale, CA Qualifications • Minimum 3+ years hands-on TEM operation experience (general electron microscopy or broader materials characterization experience will not meet this requirement), • Independent operation of TEM/STEM instrumentation, • Hands-on SAED technique (Selected Area Electron Diffraction), • Hands-on EDS (Energy Dispersive Xray Spectroscopy) and EELS (Electron Energy Loss Spectroscopy) techniques for acquisition, processing, and interpretation, • 4D-STEM technique experience, • Demonstrated understanding of TEM operating principles, • Experience developing TEM-specific analysis protocols/techniques, • Experience producing reports that interpret TEM results What would set you apart: • FEI/Thermo Fisher and/or JEOL instrument experience, • Preferred experience with semiconductor chips and wafer samples 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 ✓ Medical, Dental, Vision insurance ✓ 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 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 Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.* Job Description Our Bosch Research team occupies a critical position between academic research and product development, distinguishing us from many other companies. We engage with academia, incubate ideas, advance them to the prototype stage, and collaborate with development teams in our business units to support product development based on our research outcomes. We are seeking a research scientist with a strong academic background, proven industry experience, and a passion for tackling complex, real-world problems in molecular diagnostics. Our R&D center is located in Sunnyvale, CA, USA. This is in the heart of Silicon Valley in close proximity to Stanford University and UC Berkeley. The candidate will be a key contributor to our research and development efforts, from conceptualization to the creation of novel technologies. This is an exciting opportunity for someone with industry experience who is eager to make a significant impact in the field of molecular sensors and biotechnology. Responsibilities: • Identify, incubate, and translate cutting-edge academic research into functional, scalable proof-of-concept technologies in molecular diagnostics and biosensing., • Lead hands-on development and testing of prototype diagnostic systems, integrating microfluidics, electrochemical sensing, soft electronics, and chip-scale nanofabrication., • Collaborate closely with internal business units, engineering teams, and external academic partners (e.g., Stanford, UC Berkeley) to transition early-stage research into commercially viable product pipelines., • Design and execute advanced experiments for single-molecule detection, assay integration, and sample-to-answer cartridge performance., • Protect innovation through patent filings while contributing high-impact scientific publications and technical documentation., • Serve as a subject matter expert in biosensors and bioelectronics, advising multidisciplinary teams on technical feasibility, risk mitigation, and system architecture.Qualifications, • Education: PhD in a relevant field (e.g., Electrical Engineering, Mechanical Engineering, Bioengineering, Physics, or a related discipline), • Industry Experience: 3-5 years of previous industry experience in a relevant biotechnology company. We highly value experience in translating academic ideas into real-world products., • Molecular Diagnostics Expertise: Proven experience in building real-world solutions in the biotechnology sector, particularly in single molecule detection and instrumentation for molecular diagnostics., • Integrated Systems Experience: Demonstrated experience with integrated molecular diagnostic platforms, such as cartridge design, on-chip sample-prep, and electronics., • Soft Electronics: experience with soft electronics for applications in biosensing., • Micro/Nanofabrication: experience with chip design and process development for applications in biosensing., • Electrochemical Sensing: experience with electrochemical systems and biosensors., • Biochemistry: familiarity with the principles of biochemistry., • Proven track record of scientific accomplishment/patent filings, • Soft skills: highly motivated and passionate about developing new technologies and products; strong documentation, oral and interpersonal skills, experience working in a multidisciplinary team. Additional Information This is a U.S. based position, domestic relocation and local sponsorship considered on a per candidate basis. The U.S. base salary range for this full-time position is $150,000 - $170,000. 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. #LI-JM1

Job DescriptionCompany Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data. Job Description We are seeking a talented researcher to join our team and drive innovative research projects in quantum computing, specifically to focus on quantum compute devices nanofabrication. The key emphasis of the project will be design and nanofabrication of superconducting qubit and QPU test devices, intended for thorough understanding of the links between nanofabrication choices and devices performance, as applied to both flux tunable and fixed frequency qubits nanofabricated in various Al, Nb and Ta-based superconducting qubit systems. The overarching goal of the project is to translate exceptional process uniformity abilities in Western Digital into exceptional resonator and qubit performance uniformity across the wafer, and from wafer to wafer. In the course of the project, you will collaborate with both room temperature and low temperature DC and RF metrology scientists to accurately measure and monitor realistic population lifetime distributions, and materials scientist working on wafer level characterization, and drive feedback to our quantum device design and implement nanofabrication process. Successful candidates are expected to have deep familiarity with superconducting qubit design, and variety of nanofabrication techniques typically applied to superconducting qubit devices, such as optical and e-beam lithography, reactive ion etching, chemically assisted ion beam etching, atomic layer etching, physical vapor deposition, chemical vapor deposition, ion beam deposition and other. ESSENTIAL DUTIES AND RESPONSIBILITIES Lead and execute research projects in quantum computing superconducting qubit design and nanofabrication from wafer level nanofabrication, to device packaging, and collaborating with measurement teams in implementing design and nanofabrication process changes to drive continuous improvement Experience in chip to wafer bonding with superconducting bumps is welcome Collaborate with product teams to tackle novel challenges and develop innovative solutions. Collaboration: Stay current with industry and academic trends, publishing papers and presenting at conferences. Reporting: Develop and present detailed reports and visualizations to communicate findings, trends, and actionable insights to stakeholders at all levels. Motivation: Highly self-motivated problem solver able to thrive in unstructured environment. Ability to independently pursue fundamental research, including paper writing and publishing. Communication: Excellent written and verbal communication skills, with the ability to present complex data and insights clearly to both technical and non-technical audiences. Analytical Skills: Demonstrated ability to quickly grasp and address challenges outside of immediate field of expertise. Qualifications Required: Ph.D degree and post-doctoral experience in Physics, Electrical Engineering, Materials Science with focus on experimental work on superconducting qubit design, nanofabrication and metrology Thorough understanding of superconducting qubit design theory Experience in nanofabrication methods for superconducting qubits Experience in wafer level metrology, including SEM, TEM, AFM, XPS Proficiency in a wide array of programming languages, like Python, Rust, TCL, or C, and the ability to choose the right one for the task, including knowledge (or willingness to acquire knowledge) of FPGA based microcontrollers Additional Information WD 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. WD 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. WD 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@wdc.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 1/9/27, 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-BN1 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., • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) 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 WD'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 WD 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. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.

Job DescriptionCompany Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data. Job Description We are seeking a talented researcher to join our team and drive innovative research projects in quantum computing, specifically to focus on low temperature characterization of superconducting qubits. You will play a pivotal role in innovating novel device designs and low temperature RF metrology technologies to address emerging challenges, specifically focusing on improvement and uniformity of qubit coherence times and qubit gate operations, at the high throughput, that will establish online low temperature characterization capabilities of manufactured wafers. The successful candidates are expected to be self-driven scientists and engineers, willing to seamlessly switch between different design, low temperature RF characterization and low temperature metrology needs in a project. ESSENTIAL DUTIES AND RESPONSIBILITIES Lead and execute research projects in quantum computing, from superconducting qubits design, to packaging to low temperature RF metrology Collaborate with product teams to tackle novel challenges and develop innovative solutions. Collaboration: Stay current with industry and academic trends, publishing papers and presenting at conferences. Reporting: Develop and present detailed reports and visualizations to communicate findings, trends, and actionable insights to stakeholders at all levels. Motivation: Highly self-motivated problem solver able to thrive in unstructured environment. Ability to independently pursue fundamental research, including paper writing and publishing. Communication: Excellent written and verbal communication skills, with the ability to present complex data and insights clearly to both technical and non-technical audiences. Analytical Skills: Demonstrated ability to quickly grasp and address challenges outside of immediate field of expertise. Qualifications Required: Ph.D degree in Physics, Electrical Engineering, Materials Science or related Experience in device nanofabrication challenges, packaging and low temperature characterization of superconducting qubits based devices. Experience in understanding and simulation of low temperature RF measurement of qubit devices Other experiences related to other device systems, materials characterization, electronic and optical device characterization are equally important Proficiency in a wide array of programming languages, like Python, Rust, TCL, or C, and the ability to choose the right one for the task, including knowledge (or willingness to acquire knowledge) of FPGA based microcontrollers Experience in low temperature resonators and superconducting qubits based devices characterization expected Additional Information WD 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. WD 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. WD 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@wdc.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 1/9/27, 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-BN1 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., • If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) 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 WD'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 WD 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. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.

Job Description Role: Lead AI Engineer / Data Scientist(23571-1) Duration: 6-12 Months Contract Location: Santa Clara, CA (5D Onsite) Must Have Skills Skill 1 Design end-to-end ML/LLM and agentic solutions, from problem framing and data strategy through to deployment and monitoring Skill 2 Architect agentic systems: multi-step, tool-using, and multi-agent workflows: including orchestration, tool/function integration, memory, and guardrails Skill 3 Work with foundation models including Claude and other LLMs: prompting, fine-tuning, evaluation, and integration Good To have Skills Skill 1 Familiarity with MLOps tooling (experiment tracking, CI/CD for ML, model registries, monitoring). About the Role We are looking for a Lead AI Engineer / Data Scientist: an AI-engineering-heavy practitioner who combines deep algorithmic and deep learning expertise with strong solutioning and customer-facing skills. This is a hybrid role: part senior AI engineer, part technical lead, and part trusted advisor to customers. You will design and build production AI systems end to end across multiple domains: Generative and Agentic AI (including working with foundation models such as Claude), Computer Vision on unstructured data, forecasting, and optimization. Your work spans understanding the customer's problem and datasets, selecting the right algorithms, fine-tuning, and deploying models, architecting agentic workflows, and standing up the surrounding infrastructure. You will be the technical face of these solutions: guiding developers, resolving customer issues in real time, and translating ambiguous requirements into concrete, workable plans. The ideal candidate has a strong track record of working with roughly 10 AI/ML projects deployed to production and is as comfortable writing production deep learning code as they are sitting in front of a customer diagnosing an issue and proposing a path forward. Key Responsibilities: Solution Design & Technical Leadership: " Design end-to-end ML/LLM and agentic solutions, from problem framing and data strategy through to deployment and monitoring. " Architect agentic systems: multi-step, tool-using, and multi-agent workflows: including orchestration, tool/function integration, memory, and guardrails. " Own the technical architecture for solutions: model selection, fine-tuning approach, agent/orchestration design, serving strategy, API design, and infrastructure footprint. " Lead and mentor a team of data scientists and developers, break complex, ambiguous customer requirements into structured project plans with clear milestones and deliverables. AI/ML Engineering & Modeling: " Apply strong algorithmic fundamentals to select, adapt, and implement the right approach for each problem: classic ML, deep learning, or generative/agentic AI. " Build deep learning models on unstructured data (images, video, text, audio, sensor/time-series) for real-world production use. " Design and ship computer vision solutions (detection, classification, segmentation, OCR, tracking, etc.) at production quality and scale. " Develop forecasting models (time-series and demand/behavioral forecasting) and integrate them into decisioning workflows. " Work with foundation models including Claude and other LLMs: prompting, fine-tuning, evaluation, and integration. Required Qualifications: " Bachelor's & Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience). " Experience in agentic frameworks and protocols (e.g., LangGraph, LlamaIndex, AutoGen, CrewAI, MCP) and with RAG and tool-use patterns. " Familiarity with MLOps tooling (experiment tracking, CI/CD for ML, model registries, monitoring). " Experience with distributed training and inference optimization (quantization, batching, GPU utilization). " Exposure to containerization and orchestration (Docker, Kubernetes). Technical Frameworks & Toolkit: Deep Learning frameworks: PyTorch, TensorFlow, Keras, JAX; PyTorch Lightning. GenAI & fine-tuning frameworks: Hugging Face Transformers, PEFT (LoRA/QLoRA), TRL, Accelerate, DeepSpeed, bitsandbytes, Axolotl, Unsloth; vLLM / TGI / Ollama for serving; LangChain, LlamaIndex for RAG and orchestration. Agentic AI frameworks & protocols: Claude Agent SDK, Anthropic / OpenAI SDKs, LangGraph, AutoGen, CrewAI, Semantic Kernel, and the Model Context Protocol (MCP); tool/function calling and multi-agent patterns. Computer vision: OpenCV, Detectron2, Segment Anything (SAM); image/video pipelines. Forecasting & optimization: stats models, Prophet, GluonTS, Darts, scikit-learn; optimization/solver tooling (e.g., OR-Tools, SciPy, PuLP, Gurobi/CVXPY). MLOps & infra

Job Description Associate Fraud Strategy Data Scientist This 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 typologies Pay Rate: $50/hour

Job Description • Our client is seeking a talented, enthusiastic, and dedicated professional to join their Fraud Risk Data Science Team within our Risk Data & AI Innovation Organization. The incumbent will drive critical projects focused on fraud detection, risk analysis, and loss mitigation. We seek a strategic-minded data scientist who can make substantial, actionable impacts using AI and analytics to drive fraud risk management excellence., • The ideal candidate will have 2-6 years of experience in machine learning, AI, data science, and risk analytics, with a strong background in eCommerce, online payments, user trust, risk, fraud, or product abuse investigations. They will hold a Bachelor's or Master's degree in Data Science, Analytics, Mathematics, Statistics, Data Mining, or a related field, or possess equivalent practical experience., • The role demands expertise in statistics and data science methods to solve complex business challenges. Proficiency in SQL, Python, AWS, Excel, and key data science libraries is essential. Candidates must also demonstrate strong skills in data visualization, particularly Tableau, and be comfortable working with large datasets. Experience with LLMs and AI tools for risk use cases is considered a valuable asset., • Responsibilities include designing, developing, and implementing machine learning and AI models to detect and mitigate fraud. The Associate will collaborate with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions. They will monitor model performance, refine AI tools, and support AI transformation initiatives within risk management., • The candidate will also be responsible for creating dashboards and visualizations to track key performance indicators, clearly communicating complex analytical insights to technical experts and business leaders alike. Comfort with ambiguity and a results-driven approach to data science projects are key to success., • This hybrid role is based in the San Jose area, with remote consideration if local candidates are unavailable. It is a contract position covering multiple leaves over one year, with potential for extension based on business needs and performance. Work hours are Monday to Friday, Pacific Time., • Candidates will undergo multiple Zoom interviews, including an SQL assessment in the first round. Strong SQL proficiency and prior experience applying data science to fraud mitigation remain critical selection criteria.

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 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 software Compensation $150,000 – $450,000/year + discretionary performance bonus + benefits The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits. 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 This position is eligible for visa sponsorship. 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 DescriptionData Scientist Experience: 7 10 Years Loaction - San Jose, CA Responsibilities Develop and deploy Machine Learning and AI solutions. Perform data analysis, feature engineering, and model optimization. Translate business requirements into analytical solutions. Collaborate with stakeholders and cross functional teams. Mentor junior team members and support project delivery. Present insights and recommendations to business leaders. Skills Python, SQL Machine Learning, Statistics Data Visualization (Power BI/Tableau) Cloud Platforms (AWS/Azure/GCP) MLOps and Model Deployment Generative AI LLMs (Good to Have) Leadership Lead small project teams. Participate in solution design and estimation. Ensure delivery quality and business impact.

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 Embodied and Cyber-physical AI industry. Key responsibilities include: Key Responsibilities • Conduct research and engineering in core AI and machine learning fields to enable industrial embodied AI—including computer vision, autonomous navigation, and adaptive manipulation—specifically for manufacturing, shop-floor automation, logistics, and material handling domains., • Push the boundaries in industrial robotics by incorporating advancements in large vision-language-action models to enhance real-time factory reasoning, multi-robot coordination, and operational safety., • Collaborate cross-functionally with global manufacturing engineering, plant operations, and product development teams to ensure seamless technology transfer from simulation to physical shop-floor hardware and systems integration., • Implement research results to solve complex, real-world industrial challenges, ensuring high-reliability system integration within Bosch’s smart manufacturing and Industry 4.0 platforms (such as APAS and active production environments)., • Stay at the forefront of industrial innovation by actively engaging with manufacturing technology consortia, automation communities, and specialized conferences focused on industrial robotics and factory automation., • Document and disseminate research findings through high-caliber publications, industry white papers, and/or foundational patent submissions tailored to industrial automation and robotics.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 Description About Ceribell Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement! Position Overview: The Principal Clinical Research Scientist is responsible for generating, analyzing, and communicating clinical evidence to support product development, regulatory submissions, and commercial growth. This individual combines strong data analysis and scientific writing skills with hands-on conference strategy and marketing activities. This role works closely with clinical operations, regulatory, marketing, R&D teams and external experts (physicians and key opinion leaders) to translate clinical data into publications, presentations, and marketing materials that drive adoption and support clinical decision-making. What you'll do: • Own the full lifecycle of clinical evidence generation from gap analysis through literature review, study conception, protocol development, data collection and analysis, to manuscript authorship and publication in peer-reviewed journals., • Authoring and presenting scientific communications (abstracts, manuscripts, posters, presentations) for peer-reviewed and commercial audiences at scientific conferences and congresses., • Managing the clinical evidence library and publication pipeline, maintaining timelines and coordinating with Regulatory and Marketing on publication and presentation strategy., • Supporting regulatory submissions with clinical evidence and results from clinical trials (e.g. FDA 510(k))., • Contribute to the design of prospective and retrospective clinical studies on existing and future products, and interface with study investigators, KOL advisors, and internal teams (Data Science, Regulatory, Marketing, Product)., • Maintaining strong relationships with clinical and scientific leaders (site investigators, principal investigators, KOL advisors) to advance study execution, analysis and results dissemination., • Developing and executing conference activities for major medical meetings, including abstract/presentation submissions, KOL engagement, and investigator coordination., • Work in close partnership with Marketing, Sales, and Go-to-Market teams to drive the development of clinical evidence summaries, infographics, and data visualizations, guaranteeing scientific integrity, data accuracy, and regulatory compliance., • Other responsibilities as assigned by your Manager/Supervisor What We're Looking For: • PhD in Clinical Research, Engineering, Epidemiology, Biostatistics, Public Health, or related life science discipline, • 5 + years of clinical research experience in the medical device or pharmaceutical industry, • Proficiency in statistical analysis (R, Python, or equivalent), • Strong scientific writing and experience writing peer-reviewed journal articles, • Demonstrated ability to analyze and interpret clinical data, • Excellent written and verbal communication skills; ability to translate complex clinical data for diverse audiences (clinicians, regulators, commercial teams) Preferred qualifications: • 8+ years of clinical research experience in the medical device industry, • Neuroscience expertise, • Clinical trial or clinical data study design experience To complete your application, please upload a document containing a comprehensive list of your publications alongside your resume. Compensation Range $168,000—$185,000 USD A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time. In addition to your base compensation, Ceribell offers eligible employees the following: • Performance-based incentive compensation (varies by role), • Equity opportunities, • 100% Employer paid Health Benefits for Employees, • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection), • 100% paid Life and Long-Term Disability Insurance, • 401(k) with a generous company match, • Employee Stock Purchase Plan (ESPP) with a discount, • Monthly cell phone stipend, • Flexible paid time off, • 13 Paid Holidays + 3 Company Wellness Days, • Excellent parental leave policy, • Fantastic culture with tremendous career advancement opportunities, • Joining a mission-minded organization! Application Deadline: Ongoing Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government. Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation. Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy. Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

Job Description KAYGEN is an emerging leader in providing top talent for technology-based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project-based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries. JOB DESCRIPTION: Position: Scientist 2, Biology/Scientist III, Reagent and Assay Development Location: Milpitas, CA 95035 Duration: 12 months with possible extension TECHNICAL SKILLS: Must Have: • Minimum of bachelor’s degree in Life Science, • Minimum 5 years of related experience in a research setting, clinical/diagnostic laboratory, or pharmaceutical/biotechnology R&D environment, • Strong understanding of immunology, flow cytometry, assay development or related cell-based research technologies, • Experience authoring and reviewing technical documentation, • Demonstrated ability to lead projects independently and collaborate effectively across functions, • Excellent written and verbal communication skills Nice To Have: • Experience with flow cytometry-based diagnostic products, • Experience supporting regulatory inspections and quality audits, • Familiarity with design controls, risk management, verification/validation, and change control processes, • Strong immunology, cancer biology and cell biology knowledge, • Experience in reagent and assay development, • Experience with product lifecycle management Scientist III, Reagent and Assay Development • The Reagent & Assay Development Group focuses on providing differentiated reagent solutions that uncover truths in biology and medicine., • Teams of hardworking scientists are responsible for initiating and driving the reagent and assay development projects and integrating assays and flow cytometry instruments to create the next generation of research and clinical Flow Cytometry platforms., • Products include cell analyzers, cell sorters, reagents, assays and software., • The Scientist III is responsible for supporting the sustainment and continuous improvement of reagent and assay products throughout their lifecycle. Primary responsibilities: • Support reagent and assay sustainment projects for marketed products, • Review and approve technical documentation to support reagent and assay products, • Review design history files, validation reports, risk assessments, technical files, and product specifications to ensure completeness and compliance, • Ensure documentation aligns with applicable quality system requirements and regulatory expectations, • Support change control activities and assess the impact of proposed product, process, or documentation changes, • Serve as a technical subject matter expert during internal and external audits, • Support preparation of audit readiness activities and ensure technical documentation is inspection-ready, • Partner with Regulatory Affairs, Quality, Marketing, Manufacturing, Medical Affairs and Operation teams to support business objectives Shift: ['• Minimum of bachelor’s degree in Life Science • Minimum 5 years of related experience in a research setting, clinical/diagnostic laboratory, or pharmaceutical/biotechnology R&D environment • Strong understanding of immunology, flow cytometry, assay development or related cell-based research technologies • Experience authoring and reviewing technical documentation • Demonstrated ability to lead projects independently and collaborate effectively across functions • Excellent written and verbal communication skills'] Start: ['• Experience with flow cytometry-based diagnostic products • Experience supporting regulatory inspections and quality audits • Familiarity with design controls, risk management, verification/validation, and change control processes • Strong immunology, cancer biology and cell biology knowledge • Experience in reagent and assay development • Experience with product lifecycle management'] At KAYGEN, people are at the heart of everything we do. We foster a diverse, inclusive, and employee-driven culture where every individual is valued, empowered, and encouraged to bring their authentic self to work. Our candidate-first approach means we are committed to understanding your career goals and connecting you with opportunities that align with your aspirations, skills, and potential. Whether you're taking the next step in your career or searching for your dream opportunity, KAYGEN is more than a staffing partner—we're a community dedicated to helping you grow, succeed, and thrive. Join us and discover a place where your talent is recognized, your ambitions are supported, and your future is built alongside a team that invests in your success every step of the way. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information, please visit us at www.kaygen.com. Benefits: • Free Healthcare Insurance, • 401(k) Retirement Plan, • Free Life Insurance, • Sick Time OffAchieve your Kaizen by clicking here. A unique and exclusive talent community supported by KAYGEN, that includes programs like:, • Mentorship Program, • Certifications, • Referrals, • Family and Wellness benefits, • Continuous Growth and Career Development

Job Description We are seeking a highly skilled Data Scientist for a hybrid contract role. This position requires a professional who can bridge the gap between complex data modeling and business strategy. The ideal candidate will be present in the office three days a week (Tuesday, Wednesday, and Thursday) to collaborate directly with stakeholders. Technical & Functional Skills: • Utilize advanced SQL skills (6 9 years of experience) to extract, manipulate, and analyze large datasets., • Apply Advanced Statistical Analysis and modeling techniques to solve complex business problems., • Develop and implement basic machine learning models, including Regression, Decision Trees, and Clustering., • Leverage PySpark knowledge to enhance data processing and scalability (highly preferred)., • Translate raw data into actionable insights through thorough data analytics. Behavioral & Professional Skills:, • Maintain a business-facing presence, acting as a consultant to internal stakeholders., • Demonstrate a deep understanding of business operations to ensure data findings align with organizational goals., • Communicate technical findings clearly to non-technical audiences to support decision-making.

Job DescriptionCareer Gap to Tech Career — Rebuild Momentum With Java or Data Skills If you have been unemployed for several months, returning to the job market can feel frustrating. You may have talent, education, or past experience, but hiring teams often look for recent proof that your skills are current. A career gap does not define your ability, but it does mean you need a strategy to rebuild confidence and show employers that you are ready. SynergisticIT is considering candidates interested in Java development, Python development, full-stack engineering, data analytics, data science, data engineering, DevOps, and ML/AI programming. This opportunity is especially relevant for candidates with career gaps, layoffs, limited experience, or outdated technical stacks. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience, • Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack, • Professionals seeking a career switch to tech, • Candidates with career gaps or lacking real-world experience, • Individuals looking to boost their skill portfolio for better job prospects, • Computer Science grads with limited or no job experience, • Students who recently finished their Bachelor's or Master's programs, • Those struggling to land interviews despite having experience, • Please check below links:, • Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Reviews: https://www.synergisticit.com/reviews/ • please read our blogs, • Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/, • Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for candidates with gaps because it helps rebuild momentum through structured upskilling, practical project work, resume improvement, interview preparation, and job-search support. Instead of applying randomly, candidates can work toward a more current and employer-ready profile. Do not let a career gap stop your progress— Contact us and restart with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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 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. 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. Compensation $150,000 – $450,000/year + discretionary performance bonus + benefits The posted salary range represents the company’s good faith estimate of the base compensation for this position upon hire. The actual base compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, and specific business needs. In addition to base salary, total compensation includes an annual discretionary performance bonus and comprehensive benefits. 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 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 Opportunity We are seeking an experienced Senior Data Scientist to help develop, optimize, and evaluate innovative AI and machine learning solutions within the healthcare technology space. This role offers the opportunity to work with large, complex datasets, develop advanced AI models, and collaborate with cross-functional teams to deliver meaningful insights and impactful products. The ideal candidate brings a strong foundation in statistics, machine learning, and software development, along with hands-on experience in large language models (LLMs) and modern AI techniques. Key Responsibilities • Leverage extensive datasets to develop, optimize, fine-tune, and evaluate AI-powered products and solutions., • Design and develop product-facing and client-facing analytics to support business decisions., • Collaborate with product managers, analysts, engineers, and business stakeholders to define and execute data science initiatives., • Lead data projects from ingestion and exploration through modeling, analysis, and actionable recommendations., • Design, train, and evaluate machine learning models using modern frameworks and techniques., • Contribute to data science strategy, technical planning, and continuous improvement initiatives., • Translate complex technical findings into clear, actionable insights for technical and nontechnical audiences. Required Qualifications • 5+ years of professional experience in Data Science, Machine Learning, or a closely related field, working with large-scale, complex datasets., • Advanced knowledge of statistical analysis, exploratory data analysis, experimental design, and probability theory., • Strong understanding of modern machine learning techniques, including deep learning, reinforcement learning, and large language models., • Hands-on experience with LLM fine-tuning methodologies, includimg: Supervised Fine-Tuning (SFT); Direct Preference Optimization (DPO); Reinforcement Fine-Tuning (RFT), • Proven experience designing, training, and evaluating large-scale machine learning models using PyTorch or TensorFlow., • Advanced Python programming skills, including object-oriented programming, production-quality code, and modern data science libraries., • Advanced SQL proficiency, including writing and optimizing complex queries across multiple datasets., • Experience with distributed data processing technologies and scalable machine learning workflows., • Strong data visualization, analytical storytelling, and communication skills., • Ability to collaborate effectively with cross-functional teams and communicate technical concepts to business stakeholders. What We're Looking For • A curious, analytical problem-solver who enjoys tackling complex data challenges., • Someone who stays current with emerging AI technologies and machine learning research., • A collaborative professional who can balance technical depth with business impact., • A self-starter who takes ownership of projects and thrives in an innovative, fast-paced environment. Why This Opportunity? You'll have the opportunity to work with advanced AI technologies, large-scale datasets, and a collaborative team developing solutions that make a meaningful impact in healthcare technology. Interested? We'd love to hear from you!

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 Qualifications MSc/MEng or PhD Degree (or equivalent experience) in Machine Learning, Computer Science or related fields. Professional Experience Minimum 3+ years of hands-on experience with reinforcement learning Demonstrated ability to independently identify limitations of current practice (internal and external), formulate and enact solution strategies for improvement. Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision. Strong Python development skills with a focus on research-grade code and scalable data pipelines. Practical experience implementing complex mathematical concepts into reliable, well-documented code. Experience applying novel RL algorithms to practical applications. Strong experience contributing to academic and/or open-source research through publication, GitHub contributions, or professional presentations. Strong communication and collaboration skills for effective cross-functional work. Preferred Qualifications Strong systems and engineering expertise in deep learning frameworks such as PyTorch, Jax, etc. Experience in large-scale model training (LLMs or Diffusion Models) on large clusters. Familiarity with current RL+LLM training libraries Experience training policies in self-play, possibly demonstrated by publication, blog post, public code. Experience working with Diffusion Models in RL, possibly demonstrated by publication, blog post, public code. Strong publication record in leading AI and RL venues (e.g.ICLR, ICML, NeurIPS, RLC, JMLR, TMLR) Familiarity with performance constraints in production environments and the trade-offs in model design and execution. Prior contributions to open-source ML research or data tools. Demonstrated ability to solve complex system-level challenges and debug failures across training/inference stack (e.g. memory issues, deadlocks, I/O bottlenecks, multi-node communication failures). 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 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 Indent: SFOP211893-4/ SFOP211893-3 Role: Data Scientist Location: Oakland/MTV/San Diego CA (3 days Work from Office) Max Rate: $65/hr Responsibilities • Perform hands-on data analysis and modeling with huge data sets, • Apply data mining, NLP, and supervised/unsupervised ML to design, improve, and evaluate relevance and personalization algorithms across customer journeys., • Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products, • Client data sources, get access to them, import them, clean them up, and make them "model-ready”. You need to be willing and able to do your own ETL, • Engineer and iterate on features from underlying data, combining domain understanding with statistical rigor to propose, evaluate, and refine feature sets that improve model performance over successive cycles., • Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders, • Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Qualifications: • BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.), • 4 years of industry experience with Data Science and Machine Learning, • 4 years of experience in modern advanced analytical tools, programming languages - Python with scikit-learn, • Efficient in SQL, Hive, SparkSQL, etc., • 4 years of experience in applied machine learning and statistical modeling (e.g., classification, regression, decision trees, neural networks, recommender systems, sequential pattern discovery, and text mining), with hands-on experience in deep learning and embedding-based representations for NLP/language understanding, recommendation, and personalization., • Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

Job DescriptionJob Summary We are seeking a highly skilled Data Scientist to analyze complex datasets, build predictive models, and develop data driven solutions that enable business growth and operational efficiency. The ideal candidate should have strong expertise in statistics, machine learning, data analysis, and programming, with experience delivering end to end data science solutions in enterprise environments. Key Responsibilities Analyze structured and unstructured data to generate actionable business insights. Develop, train, and deploy machine learning and predictive analytics models. Perform data exploration, feature engineering, and statistical analysis. Build forecasting, classification, clustering, recommendation, and anomaly detection models. Design and execute experiments, A/B testing, and model evaluation frameworks. Develop data pipelines and automate analytical processes. Communicate findings through dashboards, visualizations, and presentations. Collaborate with business stakeholders, data engineers, and product teams to solve business problems. Monitor model performance and support continuous improvement initiatives. Ensure data quality, governance, and compliance with organizational standards. Required Skills Strong proficiency in Python and SQL . Experience with machine learning libraries such as Scikit learn, TensorFlow, PyTorch, XGBoost, and Pandas . Expertise in statistical modeling, hypothesis testing, and predictive analytics. Experience with data wrangling, feature engineering, and exploratory data analysis. Knowledge of machine learning algorithms including Regression, Classification, Clustering, Time Series Forecasting, and NLP. Experience working with large datasets and cloud based data platforms. Strong understanding of data structures, algorithms, and model lifecycle management. Experience creating data visualizations using Power BI, Tableau, or Matplotlib . Preferred Skills Experience with Generative AI, LLMs, NLP, and RAG architectures . Knowledge of MLOps , model deployment, and monitoring tools. Experience with cloud platforms such as AWS, Azure, or GCP . Knowledge of Spark, Databricks, Snowflake, or other big data technologies. Familiarity with Docker, Git, and CI/CD pipelines.

Job Description Greetings from IT Engagements Role: Scientist I_CO Location: Santa Clara, CA Description Scientist-I (CONTRACT) Reagent Production client Sequencing Solutions is a fast-moving, highly technical team of people working with the Axelios sequencing platform. We are looking for a highly motivated, passionate, and team-oriented individual with some laboratory and documentation experience. As part of the activity, the candidate will be responsible for promptly and accurately entering final production records into the database system. The candidate will help check and edit all previously entered documents from the Production group. The candidate shall also perform lab work and will help in reagent generation and product QC. The individual must be flexible and have experience working in a highly dynamic, rapidly changing environment. Careful, meticulous laboratory execution and documentation are also a requirement. Job Description: The candidate will work as part of a small production team manufacturing reagents. In this role, the individual will help edit and document work instructions, batch records, and test methods. The candidate will support reagent scale-up activities, labeling, aliquoting, documentation, database maintenance, QC protocol writing, and specification setting. Along with the group, the candidate will also manufacture reagents for the RD staff. The ability to communicate with a wide range of functions, skills, and backgrounds is highly desired. Responsibilities Include: · Reagent production, QC, aliquoting, and labeling · Editing and updating batch records, QC methods, and work instructions · Entering batch records and test results into a database · Distributing reagents to internal customers and managing stock inventory Qualifications: · B.S. with 1 - 2 years of equivalent experience in biochemistry, chemistry, molecular biology, or related discipline · Working knowledge of wet lab techniques, including pH, conductivity, and osmolality measurements and colorimetric analysis. · Demonstrated meticulous documentation capabilities · Demonstrated strong analytical skills with methodical approaches to troubleshooting · Experience in writing and following Work Instructions, Batch Records, and Standard Operating Procedures is a plus · Demonstrated critical thinking and meticulous attention to detail · Strong oral and written communication skills are a must Working Conditions · This position requires on-campus presence and work in a laboratory environment · Must be able to lift 25 lbs · Role involves sustained periods of precision liquid handling and other repetitive laboratory tasks Thank You vinaya [at] itengagements [dot] com

Job Description We are seeking a highly motivated Research Scientist to lead technology research efforts focused on the development of novel 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 • 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, with a strong preference for epigenetics-based assays or analyses., • Excellent written and verbal communication skills, with the ability to work effectively in a highly collaborative, cross-disciplinary environment

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. 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 We're seeking a skilled Scientist with expertise in Dual Beam FIB/SEM technology to play a critical role in advanced microscopy investigations. 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. 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 (Night Shift differential will apply) Compliance Requirement (ITAR) This position supports work subject to U.S. export control regulations. Applicants must meet U.S. Person status as defined by ITAR: • U.S. Citizen, • U.S. Permanent Resident (Green Card)Qualifications, • 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)., • Experience with semiconductor chip products and wafer samples is a plus. What Success Looks Like Successful candidates thrive in a fast-paced consulting laboratory environment where multiple projects move simultaneously. They are curious scientists, strong communicators, and collaborative teammates who can independently manage priorities while delivering high-quality scientific results. 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: ✓ Medical, Dental and Vision Insurance ✓ 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 Description About Ceribell Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement! Position Overview: We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and will be responsible for design and development of new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level. What you'll do: • Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications, • Analyze data for trends and patterns, and interpret data with a clear objective in mind, • Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed, • Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance., • Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms, • Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support, • Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes, • Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art What We're Looking For: • PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines, • 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development, • Proficient in Python and/or Matlab and/or R or similar programming languages, • Experience and interest in biological signal processing and algorithm development for biomedical applications, • Strong analytical skills, detail-oriented and collaborative, • Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context, • Proven ability to work independently, define scope and and manage complex technical projects from concept to deployment, • Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data, • Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development Compensation Range $184,000—$200,000 USD A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time. In addition to your base compensation, Ceribell offers eligible employees the following: • Performance-based incentive compensation (varies by role), • Equity opportunities, • 100% Employer paid Health Benefits for Employees, • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection), • 100% paid Life and Long-Term Disability Insurance, • 401(k) with a generous company match, • Employee Stock Purchase Plan (ESPP) with a discount, • Monthly cell phone stipend, • Flexible paid time off, • 13 Paid Holidays + 3 Company Wellness Days, • Excellent parental leave policy, • Fantastic culture with tremendous career advancement opportunities, • Joining a mission-minded organization! Application Deadline: Ongoing Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government. Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation. Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy. Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

Job DescriptionAbout Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We 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. Requirements 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. Benefits Why Versa? At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do., • Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description About the Company: At SK hynix memory solutions, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in NAND flash technology and memory solutions, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix memory solutions, you will be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Role: We are hiring a full-time research scientist. Depending on your qualifications, the job is loop engineering, AI infrastructure research, or both. Loop engineering is the design and study of closed-loop flows that automate, optimize, and explore SoC designs. These are AI-assisted hardware/software co-design flows. CHIA, from UC Berkeley, is one example of a framework you may use. AI infrastructure research is full-stack design and optimization of AI systems from storage devices to the host: how memory-device noise affects AI performance, where the system bottlenecks, and which compute-memory architectures are worth building. You will own the research questions, methods, and written results. What you will do: • Establish best practices for SoC design automation, optimization, and design-space exploration, and make them the way the team runs design studies., • Design and implement co-design loops whose steps run SoC tools, simulators, software builds, physical-design feedback, and AI agents, and whose outputs feed the next iteration., • Build those flows with the languages and tools the study needs, including Chisel and XLS, simulators, software builds, and ASIC or FPGA CAD., • Measure whether the designs a loop produces are correct, and compare them on power, speed, silicon area, or how well the target workload runs. Record which design was chosen, what the search cost, and enough detail that someone else can rerun the study and see why a run failed. Research: AI infrastructure: • Study AI system design from storage and memory devices through controllers, interconnects, and the host software path used by training and inference., • Measure how device noise and non-idealities (read and write noise, variation, retention, disturb, and error rates) affect model quality, tail latency, throughput, and energy., • Quantify bottlenecks in capacity, bandwidth, latency, power, and data movement, and state what they imply for architecture., • Evaluate compute-memory architectures such as near-memory and in-memory compute, computational storage, and disaggregated memory. What you bring: • Bachelor's, master's, or Ph.D. in electrical engineering, computer engineering, or computer science. A bachelor's degree should include research depth in computer architecture, computer systems, VLSI, or electronic design automation., • A record of taking a research question to a measured, written result., • Strong in Python. For a loop-engineering assignment: • Experience automating an SoC, RTL, or physical-design flow, including design-space exploration or closed-loop optimization., • Ability to design interfaces between design tools so a flow can be reused. For an AI infrastructure assignment: • Research on the path from storage or memory devices to a host running an AI workload, and on how device behavior, system bottlenecks, or compute-memory architecture affect AI performance. Preferred Qualifications: • Hands-on experience with an AI-assisted hardware/software co-design loop framework, such as CHIA, SKHY, or with another agentic or scripted flow., • Proficiency with Chisel, XLS, or RISC-V SoC integration, and with RTL simulation or FPGA prototyping., • Experience with commercial ASIC flows, and with reading timing, power, and area reports., • Experience with architecture simulators., • Background in memory or storage reliability: device noise, ECC, endurance, or error models., • Papers or patents in computer architecture, VLSI CAD, or hardware/software co-design. What success looks like: In the first year, a loop-engineering hire produces a reusable co-design loop for an SoC decision and a written best practice. An AI infrastructure hire produces a result that ties a bottleneck, a memory-device noise effect, or a compute-memory architecture to host-level AI performance. A hire for both produces both. COMPENSATION: $000,000/yr - $000,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.