Research associate jobs in Redmond, WA - 1,074 jobs

Founding Research Scientist - Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team's mission is to build intelligent systems that can observe and interpret subtle human cues - visual, vocal, and behavioral - to enable natural, emotionally aware digital interaction. They're developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you'll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You'll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities Design and implement generative video models that synthesize realistic movement, depth, and texture. Develop scalable pipelines for dataset creation, model training, and system evaluation. Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression. Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks. Evaluate model behavior, benchmark performance, and publish findings where appropriate. Transition promising prototypes into production-ready, low-latency systems. Required Background PhD or comparable experience in Machine Learning, Computer Vision, or Graphics. Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures. Strong applied experience with PyTorch, JAX, or similar toolkits. Understanding of data curation, distributed training, and large-scale evaluation. Publications, patents, or open-source contributions demonstrating research excellence. Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique Early technical ownership in shaping the research roadmap of a deep-tech organization. Opportunity to work on high-impact, unexplored problems in real-time generative media. Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts. Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

Client's People Analytics Research team helps senior leaders understand the employee experience, and connect that understanding to meaningful action. This close-knit, highly productive team is looking for research management support for our upcoming employee engagement surveys. The ideal candidate will have deep experience with employee surveys in medium-to-large sized organizations, and be comfortable working in a fast-paced, hands-on environment. This individual should have strong analytical, survey operations, and project management skills to handle a variety of survey program activities. Years of Experience 3-5+ years relevant experience with employee surveys or HR analytics, ideally with a focus on employee engagement. Duties Work with our team to deliver Client's employee engagement surveys, and generate insights that directly influence the employee experience. Support survey operations, including managing survey invitations and reporting access, as well as quality control and testing of online survey and reporting portal. Provide user help to People Business Partners, employees, and other teams through various support channels (e.g., Slack, email, case management). Partner with Senior Research Managers to analyze survey results (both scaled items and open text) to identify insights related to employee sentiment. Contribute to the development of new survey methodologies and research initiatives. Create reporting materials using Keynote, Pages, and other tools to share with leaders, partners, and key stakeholders. Review reports to ensure data accuracy and quality. Skills Experience supporting employee surveys end-to-end - working with cross-functional teams and vendors to manage survey fielding, as well as analyzing results (e.g., descriptive and inferential statistics, correlation, qualitative analysis) to identify key trends and actionable insights, and creating reports to a wide audience of leaders and key stakeholders. Excellent organizational skills, acute attention to detail, and ability to balance multiple tasks. Strong data visualization skills (creating charts, tables, and slides). Excellent interpersonal skills and ability to work effectively across teams. Understanding of data privacy principles in survey research. Technical Skills Proficiency with analytics and visualization platforms (e.g., R, SPSS, Tableau, or similar) Experience with survey platforms (Medallia preferred) Experience with project management tools (Wrike preferred) Experience with PowerPoint or Keynote (preferred), Excel, and collaboration tools (e.g., Box, Quip) Education & Experience Degree in organizational psychology/social sciences; statistics/economics; or business administration OR equivalent experience Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors

Skills Required: • 5 years of experience in data analytics. • 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.? • 2 years of experience with dashboarding tools, PowerBI preferred.? • Proficient in Python, bonus if familiar with PySpark.?

About Team: With the fast growth of Bytedance's business, Bytedance's system infrastructure is currently at a massive scale and requires versatile system solutions. Our lab collaborates with HQ teams on advanced R&D projects, focusing on LLM/AI + Infrastructure technologies, which includes both infrastructure for LLM/AI and LLM/AI for infrastructure. To name a few, we are building a new cloud-native vector index library. Our TextToSQL project ranks top on well known industry benchmarks. We also work on advanced AIOps technologies that are used by our Volcano cloud products. Besides achieving great business impacts, we also encourage publishing on top tier conferences. In year 2025 alone, our lab published nearly 20 papers in top tier conferences, such as SIGMOD, VLDB, FSE, ICLR, EuroSys, WWW etc. We hire students with great technical skills, willingness to learn and solve complex technical challenges and passion in making an impact on millions of users. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume Responsibilities: - Do research surveys and come up with a new system and algorithm design. - Develop new systems and successfully land them into production environments - Be able to debug systems and measure system performance. - Collaborate with mentors and other lab members. - Write technical reports and publish papers. Minimum Qualifications - Currently pursuing a PhD degree in Computer Science or related fields - Understand how distributed systems work, such as distributed storage and database systems. - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: - Strong past research experience in infrastructure system areas - Research experience with AI and LLM - Strong publication records

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and build new robotics markets for the world. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cu Robo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and use the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach. What you will be doing: * Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; * Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; * Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; * Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; * Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). * A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP. * Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus. * Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams. * Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation. The following research areas and applications are of particular interest: * Bimanual and dexterous manipulation * Mobile manipulation and humanoid loco-manipulation * Multisensory perception (e.g., vision, tactile, and force/torque sensing) * Simulation, sim-to-real, and real-to-sim * Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning * Industrial applications, such as bin-picking, kitting, and assembly The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Business UnitTechnology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.What the Role EntailsJob Responsibilities: We are building large-scale, native multimodal model systems that jointly support vision, audio, and text to enable comprehensive perception and understanding of the physical world. You will join the core research team focused on speech and audio, contributing to the following key research areas: Develop general-purpose, end-to-end large speech models covering multilingual automatic speech recognition (ASR), speech translation, speech synthesis, paralinguistic understanding, and general audio understanding. Advance research on speech representation learning and encoder/decoder architectures to build unified acoustic representations for multi-task and multimodal applications. Explore representation alignment and fusion mechanisms between audio/speech and other modalities in large multimodal models, enabling joint modeling with image and text. Build and maintain high-quality multimodal speech datasets, including automatic annotation and data synthesis technologies. Who We Look For Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Linguistics, or a related field; or Master's degree with several years of relevant experience. Solid understanding of speech and audio signal processing, acoustic modeling, language modeling, and large model architectures. Proficient in one or more core speech system development pipelines such as ASR, TTS, or speech translation; experience with multilingual, multitask, or end-to-end systems is a plus. Candidates with in-depth research or practical experience in the following areas are strongly preferred: Speech representation pretraining (e.g., HuBERT, Wav2Vec, Whisper) Multimodal alignment and cross-modal modeling (e.g., audio-visual-text) Experience driving state-of-the-art (SOTA) performance on audio understanding tasks with large models Proficient in deep learning frameworks such as PyTorch or TensorFlow; experience with large-scale training and distributed systems is a plus. Familiar with Transformer-based architectures and their applications in speech and multimodal training/inference. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview As a Research Associate III at Immunome, Inc., you will be a key contributor to our research and development initiatives, driving the optimization and delivery of antibody-drug conjugates (ADCs). In this role, you will design, produce, and characterize ADCs in support of program-specific objectives, while collaborating closely with cross-functional partners. Your expertise in bioconjugation will provide critical insights that help advance our therapeutic pipeline and strengthen our scientific capabilities. Responsibilities Research Design and Execution * Generate high quality ADCs to enable advancement of named programs. * Evaluate innovative bioconjugation and linker technologies. * Assess developability of discovery stage ADCs. * Work collaboratively with cross-functional teams to plan experiments aimed at advancing drug development projects. * Independently perform laboratory experiments in accordance with established protocols, maintaining the highest standards of scientific rigor, documentation, and data integrity. * Continuously optimize laboratory processes to improve workflow efficiency, reproducibility, and throughput. * Manage ADC inventory and coordinate delivery of samples to cross-functional partners. * Data Analysis and Interpretation: * Characterize biophysical properties of ADCs using various techniques, such as analytical SEC, HIC, PLRP, and LC-MS. * Interpret results and draw meaningful conclusions to guide decision-making. Project Collaboration * Collaborate with colleagues from diverse scientific disciplines to achieve project goals. * Participate in project team meetings, providing expertise and insights to drive projects forward. Continuous Learning and Development * Stay informed about the latest bioconjugation advancements in the ADC field. * Proactively seek opportunities for professional development and contribute to the scientific growth of the research team. Qualifications * BS or MS in Biochemistry, Chemistry, or related field. * Minimum of 5 years of experience (or 3 years of experience for MS) in preclinical drug development in the biotechnology or pharmaceutical industry. * Proficiency in bioconjugation techniques and demonstrated experience in ADC pre-clinical development is a requirement. Knowledge and Skills * Proficient in analytical techniques and purification methods relevant to biologics and ADC development (SEC, HIC, PLRP, and LC-MS, etc). * Experience in antibody engineering and protein modification is a plus. * Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams and communicate scientific concepts to non-scientific stakeholders. * Proven ability to adapt to changing priorities and work in a fast-paced, dynamic environment. * Experience with Agilent OpenLab and Benchling is a plus. Please note, the internal title for this role is Research Scientist II, Bioconjugation Chemistry Washington State Pay Range $96,044 - $107,008 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish). Create a Job Alert Interested in building your career at Immunome, Inc.? Get future opportunities sent straight to your email. Create alert

Meta Superintelligence Labs is seeking a Research Scientist Manager to lead a high-impact team working on the next generation of AI Assistants powered by frontier-scale foundation models. This role centers on building cutting-edge measurement and evaluation paradigms that align fast-moving model development with real end-user value. As a Research Scientist Manager, you will define the scientific strategy behind the evaluation flywheel, ensure scientific across methodologies, and partner with product, engineering, and model training teams to steer the system toward reliability and trustworthiness at scale. **Required Skills:** Research Scientist Manager, MetaAI Assistant Measurement Responsibilities: 1. Define and execute the scientific roadmap for measurement of AI Assistant with purpose, agility, and efficiency 2. Lead the development of innovative offline and online evaluation metrics, benchmarks, and data synthesis methodologies to drive model improvement and improve user experience 3. Partner closely with research, engineering, and product teams to integrate robust measurement into the model development lifecycle (the "evaluation flywheel") 4. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects 5. Mentor and grow a team of Industry-Leading research scientists and applied scientists, fostering a of scientific rigor, impact, and success **Minimum Qualifications:** Minimum Qualifications: 6. 12+ years of, or PhD + 8 years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development 7. Experience and track record of landing large research and/or product impacts in a time-sensitive environment 8. 2+ years of people-management experience leading research scientists or applied scientists 9. Proven technical vision in where the field of generative AI will go 10. Experience of and knowledge of online and offline measurement, benchmark building, and data synthesis 11. Experience with cross functional collaboration with other teams including non-engineering functions 12. Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management **Preferred Qualifications:** Preferred Qualifications: 13. PhD or equivalent research experience in fields such as machine learning, statistics, econometrics, causal inference, computer science, optimization, or related areas 14. Experience developing evaluation frameworks for LLMs, multimodal models, or interactive assistants 15. Expertise in online measurement, user-behavior modeling, A/B testing, and experiment platform design 16. Experience building large-scale datasets and ontologies used for training or evaluation 17. Background in safety, alignment, content evaluation, or human-AI interaction 18. Ability to communicate complex ideas clearly to executives, product partners, and engineering stakeholders 19. Proven ability to build high-performing teams that thrive under ambiguity and rapid iteration 20. Experience with cross functional collaboration with other teams including non-technical functions 21. Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

Talus Bioscience, a venture-backed early-stage biotechnology company, is at the forefront of developing innovative therapies for incurable cancers. Driven by the belief that "nothing is undruggable," we harness cutting-edge proteomics and AI during the initial stages of discovery to unlock previously inaccessible targets in cancer. At Talus Bio, we combine functional proteomics, automated biology, and machine learning to target hard-to-treat transcription factor proteins driving cancer. Exciting opportunities await at Talus Bio - your chance to be part of something transformative! Research Associate II Job Description Talus Bio is looking for a Research Associate II (RA II) to join our Biology / Drug Discovery team full-time in our Seattle office (this is an in-person role). This person will be naturally curious, results-driven, and eager to work in a small preclinical biotech environment. The person in this role will play a key role in supporting our drug discovery programs targeting transcription factors implicated in cancer, working closely with a multidisciplinary team of scientists to design, execute, and analyze experiments, providing critical data to advance our lead compounds through preclinical stages. This role is part of a pioneering team contributing to the development of innovative cancer therapies from the ground up. This role will assist with hit validation from our primary screens, primarily through running multiplex RT-qPCR and other assays as viability or reporter assays. It will involve extensive optimization, assay development, and medium-throughput testing and work on multiple projects simultaneously. Responsibilities Conduct laboratory experiments to support the discovery and characterization of small molecules targeting transcription factors in cancer. Perform cell-based assays (e.g., cell viability, apoptosis, and reporter assays) to evaluate compound efficacy and mechanistic effects on transcription factors. Utilize molecular biology techniques (e.g., PCR, RT-qPCR, CRISPR, RNAi) to analyze gene expression and validate targets Contribute to the design, optimization, and execution of assays for high-throughput screening and compound profiling. Maintain detailed and accurate laboratory notebooks and records in compliance with company policies. Collaborate effectively with team members to solve technical challenges and streamline workflows. Stay current on relevant literature and emerging technologies in cancer biology, transcription factor research, and drug discovery Ability to multitask and advance multiple projects at different stages simultaneously from assay development to compound screening Maintain complete, timely, and accurate records of all experiments performed, including experimental design, procedures, and data analysis Analyze/interpret experimental data and communicate the results and recommendations to other team members (oral and written formats) Must be highly-motivated and able to work independently QualificationsRequired Bachelor's degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field Minimum of 3 years of laboratory experience with cell culture techniques and handling cancer cell lines, including a minimum of 2 years of hands-on research experience running RT-qPCR assays (including selection and custom-design of oligos). Alternately: Master's degree with at least 1 year of experience in a similar role Preferred Prior experience in drug discovery, especially with transcription factor targets in cancer. Familiarity with high-throughput screening assays and/or experience in hit-to-lead workflows. Familiarity with cell-based assays (e.g., cell viability, reporter assays for evaluating compound effects. Working knowledge of data analysis software (e.g., GraphPad Prism, Excel) and basic statistical methods. This position is only open to applicants that are legally authorized to work in the US. A cover letter is required to be submitted with the CV for all applicants. Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Salary and Benefits The salary range for this position is $80,000 - $90,000 per year. Despite being a small early-stage biotech, Talus Bio's first priority is the safety and wellbeing of all our employees and their families, both inside and outside of the lab. As part of this commitment, we have put a great deal of thought and care into developing a cost-effective and comprehensive benefits package for our team. Our benefits package includes but is not limited to the following: Medical/dental/vision insurance coverage with 100% company-paid premiums for employees and 50% company-paid for dependents $124/month commuter and transportation reimbursement program 401(k) plan with a 4% Talus Bio contribution (regardless of employee contribution) Basic Life and AD&D insurance coverage with 100% company-paid premiums Short- and Long-Term Disability insurance coverage with 100% company-paid premiums Paid sick leave (52 hours/year) 4 weeks of paid time off PLUS a paid end-of-year shutdown between Christmas Day and New Year's day 10 paid holidays Weekly meals, snacks, and drinks Flexible working hours Flexible working environment and schedule Yearly company retreat and quarterly company events Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Talus Bioscience, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Job Posted by ApplicantPro

AltPep Corporation is a biomedical company based along Seattle's Lake Union developing groundbreaking disease-modifying treatments and detection tools for amyloid diseases by targeting a novel early molecular trigger: alpha sheet oligomers. Our lead programs focus on Alzheimer's and Parkinson's diseases, with other amyloid diseases on the horizon. AltPep's goal is to change the course of these debilitating diseases that affect over a billion people around the globe. AltPep draws its origins to Dr. Valerie Daggett's lab at the University of Washington's Bioengineering Department. We are looking for additional team members to join us at our state-of-the-art, headquarters located on the Eastside of Lake Union in Seattle. About this Role We are seeking a meticulous and dynamic Research Associate to join our team. You will be responsible for conducting and supporting laboratory research, including peptide synthesis, characterization (spectroscopy, biophysical, etc.), formulation activities, bioanalytical (pharmacokinetics) experiments, and stability studies, while ensuring the highest standards of quality and precision. Your contributions will be critical to the success of our research and development efforts, and you will have opportunities to work both independently and collaboratively within our innovative team. What You'll Do: Characterize peptides by UHPLC, mass spectrometry, circular dichroism, etc. Engage in chemical synthesis and peptide modifications to meet research and development objectives. Operate both manual and automated solid-phase peptide synthesis systems. Conduct (prep- and semi-prep) HPLC purification of peptides. Support novel Drug Product formulation development Support bioanalytical experiments and stability studies Troubleshoot and maintain instrumentation to ensure smooth laboratory operations. Maintain rigorous quality of experimental details outlined in Standard Operating Procedures (SOPs). Document research findings meticulously in lab books and records. Work both independently and collaboratively within an innovative team to achieve project goals. Prioritize and organize workflow to manage multiple tasks efficiently. Maintain a clean and orderly laboratory environment. Analyze and interpret data and generate reports Regularly communicate results, in written form and oral presentations, to the rest of the team and occasionally to senior management and in All-Company meetings. What You Bring: Must Haves: Bachelor's degree in chemistry, chemical engineering, biochemistry, bioengineering, or a related field. Experience in instrumental analysis using HPLC, UHPLC, and LC-MS. Ability to conduct quantitative analysis and apply quality control criteria effectively. Meticulous record-keeping abilities and attention to detail. Flexibility to adapt to a fast-paced and dynamic work environment and responsiveness to quick changes in tasks/priorities. Ability to learn rapidly and implement new laboratory techniques as needed Strong organizational skills to manage multiple tasks and prioritize workflow. What Will Separate You From the Rest: 2+ years of post-graduate experience in a relevant field, with previous biotech experience being a plus. Hands-on experience with solid-phase peptide synthesis and HPLC purification. Experience with productivity and scientific software, including ChemDraw /Marvinsketch Familiarity with PubMed and other information sources for pharmaceuticals. Ability to work independently while also valuing team collaboration. Knowledge of Quality Management Systems. Ability to learn and implement new analytical and synthetic chemistry techniques. Effective communication practices with peers and senior personnel. Flexible approach to structure and workflow management. Commitment to maintaining high standards of precision and cleanliness in laboratory work. Debilitating diseases such as Alzheimer's and Parkinson's affect more than a billion people worldwide. Drawing upon decades of academic research, AltPep was founded to create groundbreaking tools to detect and treat such diseases. Although a young company, AltPep has been recognized for its scientific accomplishment and potential. While still small and nimble, we have grown to a team of thirty talented individuals dedicated to improving the lives of billions. We continue to grow and are looking for talented people to join the team and help us accomplish our mission. We offer competitive compensation to those joining our fight. The compensation range for a Research Associate is $78,000 - $88,000, depending on experience. AltPep takes care of its employees and offers generous stock options, medical, vision, and dental coverage for its employees and their dependents. We understand, and value, life outside of work and offer competitive PTO so you can rest and recharge.

Your New Company! At Altasciences we all move in unison to assist and work in the discovery, development, and manufacturing of new drug therapies to get them faster to people who need them. No matter your role, we all play an important part and you will have a significant impact on the health and well-being of people across the globe. By living our values of Employee Development, Customer Focus, Quality and Excellence, Respect and Integrity, we look to foster a passionate and collaborative work environment and we are looking for talented and enthusiastic people, like you, to join our growing team! Whether you're a recent college graduate or seeking your next career opportunity, it's time to discover your future at Altasciences. We are better together and together We Are Altasciences. About the Role As a Research Associate (RA), you will perform technical procedures, restrain animals, operate laboratory equipment, collect specimens, and data on laboratory animals (mice, rats, canines, non-human primates) as specified in protocols and Standard Operating Procedures (SOPs), and in compliance with GLP standards. Support study supervisor(s) and study director(s) by performing and assisting with sample and data collection on research studies. What You'll Do Here Follow SOPs and Protocols to perform procedures on study and stock animals, including, but not limited to: clinical observations, food consumptions, body weights, urine collection, administering injectable anesthesia, mating procedures, blood draws (all routes), dose administration (all routes), euthanasia, catheter placement, restraint, enrichment, feeding and food removal Follow written and verbal instruction: Standard Operating Procedures (SOP), protocols, daily schedules Record, enter and review raw data, study and facility Set up for procedures and maintains ancillaries on study animals Operate selected laboratory equipment (i.e., glucometer, Harvard pump, digital thermometer) Monitor and report changes in animal behavior or health, and problems with animal rooms (e.g., caging, lights, and temperature) to all appropriate personnel Maintain general cleanliness and organization of work areas Monitor and report study changes to study director and all appropriate personnel Review and provide input on the creation and revision of SOPs relating to animals, technical procedures and facility issues Perform husbandry duties Cross training in other departments available What You'll Need to Succeed High school diploma or equivalent, required; BA/BS in a scientific discipline preferred Experience working with animals in research or a regulated environment preferred ALAT certification preferred Intermediate computer experience including Microsoft Office suite, Project, Info Path and Access Readily adapts to new software English proficiency required to read and interpret documents such as industry specific documents, write routine reports and correspondence Basic math skills as they apply to interpreting scientific data Solid reasoning abilities Work cross functionally on process improvements Demonstrates attention to detail while multi-tasking Maintain organization in a fast paced, changing environment Able to manage change Readily adapts to new projects Positive attitude toward work and co-workers Comfortable communicating with all levels of management and employees Identify and resolve problems as they are encountered Practical problem solving skills when deal with a variety of concrete variables Interpret a variety of instructions furnished in written, verbal, diagram, or schedule form What We Offer The pay range estimated for this position is $22.25 - $36.00 annually. Please note that hourly rates/salaries vary within the range based on factors including, but not limited to, prior relevant experience, skills, education, certification, location as well as internal equity and market data. Benefits Altasciences offers a wide variety of benefits to help our employees live healthy and fulfilling lives both at and outside of work. Altasciences' Benefits Package Includes: Health/Dental/Vision Insurance Plans 401(k)/RRSP with Employer Match Paid Vacation and Holidays Paid Sick and Bereavement Leave Employee Assistance & Telehealth Programs Telework when applicable Altasciences' Incentive Programs Include: Training & Development Programs Employee Referral Bonus Program #LI-ES1 MOVING IN UNISON TO DELIVER A BIG IMPACT WITH A PERSONAL TOUCH Altasciences is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request. Join us at Altasciences!

HIRING ASAP! If interested in more information/direct feedback, please reach out to me directly at ghilson@actalentservices. com and attach your resume and contact information. * BENEFITS:YES * PAY: $60-63 an hour depending on experience * SCHEDULE: Hybrid/Remote flexibility (when converted, it is fully onsite) Job Description: * Design and execute research projects to improve workplace experience. * Generate and analyze surveys; design upfront research to answer business questions. * Triangulate sentiment-based data with operational data (sales, occupancy). * Develop analysis plans and utilize various platforms for data analysis. * Collaborate with other research scientists and stakeholders. * Work independently with flexible scheduling (minimum 30 hours/week). Typical Tasks: * Define core projects and hypotheses. * Create surveys for new datasets; collaborate on existing datasets. * Perform heavy analysis and usability testing. * Weekly syncs with research scientists; optional biweekly team meetings. MUST HAVES: * PhD or Master's degree + 4+ years of quantitative field research experience. * Strong coding skills: SQL required; ability to use Python/R or similar for data analysis * Experience designing and developing surveys * Experience applying scientific principles to business problems and analyzing experimental/observational data sets NICE TO HAVES: * Experience with large datasets. * Familiarity with AWS tools. Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $60.00 - $63.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Seattle,WA. Application Deadline This position is anticipated to close on Jan 29, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

About the Role We're looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 9+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

The Applied Research Scientist position at Apple focuses on leveraging Generative AI to enhance Apple's products and experiences across various platforms like iPhone, Mac, Apple Watch, iPad, and more. The role involves designing and implementing ML algorithms, training Generative AI models using deep reinforcement learning, and integrating ML/RL frameworks into Apple products. Applicants should have strong programming skills in Python and/or C++, proficiency in ML toolkits like PyTorch and TensorFlow, and hands -on experience in building deep -learning systems. Additionally, a fundamental understanding of ML concepts, strong software engineering skills, and a passion for building autonomous systems with Generative AI are essential. The position emphasizes collaboration with cross -functional teams, contribution to roadmaps, and writing clean, maintainable production code. A minimum of 5 years of experience in applied ML and/or product development, along with an advanced degree in Computer Science or a related field, is required. The base pay range for this role is $161,700 to $284,900, with additional benefits, stock options, and relocation opportunities. Publications in top -tier conferences and experience in robotics, deep learning, and mobile development are advantageous.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands- everything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. Our goal is to recruit top talent and is dedicated to promoting outstanding employee experiences where all individuals are valued and offered equitable opportunities. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Adobe is looking for a Applied Research Scientist who will apply AI and applied research techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required graduating between December 2025 - June 2026 0-2+ years of experience in specific skill/field(s) Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. Proficient in one or more programming languages such as Python, Scala, Java and C Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn Knowledge and experience of working with relational databases and SQL Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a strong team player. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In Washington, the pay range for this position is $146,300 - $211,850 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Employment Type: Full -time Salary: Negotiable About the Role We are seeking a highly motivated Applied AI Research Scientist to join a cutting -edge AI Lab focused on generative AI and computer vision. This position is ideal for researchers passionate about advancing image and video generation, 3D reconstruction, and multi -modal modeling in real -world applications. You will be part of a globally distributed team with backgrounds from top -tier labs and companies. The lab moves quickly, and many research concepts are tested and deployed within weeks, not years. Team members are encouraged to publish and present at top -tier conferences, while also contributing directly to product features used by millions. This is an on -site position based in Bellevue, WA. About the AI Lab This AI Lab plays a central role in enhancing the AI capabilities of widely used consumer -facing creative tools. The team is focused on: Developing state -of -the -art algorithms in computer vision and generative modeling Conducting seminal research that advances the frontiers of image and video generation, 3D modeling, and multimodal learning Collaborating across product and engineering teams to integrate research into real -time applications Mentoring top -tier AI researchers and engineers to drive innovation and technical excellence Fostering a collaborative, high -ownership culture where research excellence meets fast -paced product iteration Requirements Key Responsibilities Research and develop advanced models for image and video generation, editing, 3D reconstruction, and related areas Conduct and publish high -impact research while contributing to product -driven development Collaborate closely with internal and external teams to push the frontier of applied generative AI Translate innovative research into efficient, scalable solutions for deployment in production environments Provide mentorship when necessary to support a strong and innovative technical team culture What You'll Work On As part of the team, you will contribute to the development of: Diffusion and generative adversarial models for image and video synthesis and enhancement 3D face modeling and reconstruction for augmented editing and animation features Multimodal generative models combining text, image, audio, and video signals Real -time inference systems optimized for mobile and cloud deployment Novel AR and visual storytelling tools leveraging generative vision models You will work with large -scale, proprietary datasets covering diverse visual domains, and also utilize and benchmark against public datasets and challenges. The models you build will be deployed in widely used digital creative tools with millions of global users. We use PyTorch, TensorFlow, and proprietary tools for scalable model training and deployment. Basic Qualifications Industrial research experience, either as a full -time employee or intern, with projects in computer vision, computer graphics, or natural language processing (NLP) For U.S. -based candidates: Must obtain work authorization at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications PhD in Computer Vision, Computer Graphics, NLP, or a closely related field Three or more years of industry or academic experience in a relevant field Strong interest in and thoughtful consideration of the product impact of AI technologies Excellent engineering skills to implement and optimize research prototypes into scalable deliverables Proven problem -solving skills, with the ability to evaluate alternatives and make data -driven decisions Strong communication skills to effectively share complex ideas with technical and non -technical audiences A track record of first -author publications in top -tier conferences such as CVPR, ECCV, ICCV, NeurIPS, or SIGGRAPH Benefits Why Join Work on high -impact projects that combine deep research and real -world application Collaborate with world -class researchers and engineers in a fast -moving and supportive environment Access large -scale data, high -quality infrastructure, and real users to accelerate your work Be part of a lab that actively supports both academic contributions and production innovation Apply now to shape the future of generative AI in products used by millions worldwide.

The application window is expected to close on: 01/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment. Your Impact As a Staff Applied Scientist, you will: Design, build, and deploy advanced AI models for intelligent code generation, contributing across model architecture, experimentation, evaluation, and integration into production systems. Push the boundaries of agentic GenAI by developing models that not only generate code but also reason, plan, self-correct, and interact with tools, APIs, and execution environments to improve reliability and usability. Enhance code-generation capabilities for DSLs and structured languages, helping shape the next generation of developer experiences powered by LLMs in both interactive and automated workflows. Optimize training and inference workflows through efficient data pipelines, distributed training strategies, and model-level performance improvements to ensure low latency, high accuracy, and cost-effectiveness. Partner closely with engineering and product teams to ensure research outcomes are aligned with customer needs and translate into scalable, high-impact product features. Contribute to the scientific culture of the team, sharing best practices in rigorous experimentation, reproducibility, evaluation design, and documentation. Participate in long-term AI innovation by identifying emerging opportunities, proposing new directions, and shaping roadmap priorities in collaboration with research and engineering leaders. Minimum Qualifications PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field with 2+ years of industry or post-doctoral research experience; or a Master's degree with 6+ years of relevant applied ML or research experience. Demonstrated expertise in at least one of the following: Large language models for program synthesis, code understanding, or formal languages Multi-step planning or agentic AI for developer workflows Strong programming proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Experience translating research prototypes into production systems, including deployment, optimization, and performance evaluation. Working knowledge of experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. Preferred Qualifications LLMs for Code Generation - Experience training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, bug fixing, refactoring, test generation, static/dynamic analysis, or domain-specific languages (DSLs). Domain-Specialized Modeling - Experience building models for structured languages such as SQL, DSLs, configuration languages, or proprietary query/automation languages. Agentic AI & Tool Use - Experience developing systems where models plan, call tools/APIs, self-correct, or execute code iteratively to improve output quality. Structured Reasoning & Planning - Familiarity with techniques such as chain-of-thought prompting, constrained decoding, self-debugging, or reinforcement learning for code-centric tasks. Large-Scale Training & Optimization - Experience with distributed training or inference optimization (quantization, LoRA, batching, caching) to improve latency, cost, and accuracy trade-offs. MLOps & Continuous Evaluation - Exposure to automated retraining, dataset versioning/curation, evaluation harnesses, and reliability monitoring for ML models in production. Research Visibility - Publications in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL, AAAI, KDD) and/or meaningful contributions to the LLM/code-gen research community (open-source, tools, datasets, or benchmarks). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $193,800.00 to $245,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $212,300.00 - $317,100.00 Non-Metro New York state & Washington state: $193,800.00 - $282,100.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Clinical Research Investigator DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our sites in Seattle, WA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligible participants are enrolled onto studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and comply with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical License (MD, DO) At least 2 years of experience as a Clinical Research Investigator. Spanish Bilingual a plus.

The discovery immunology research team is seeking a highly motivated Principal Research Associate. This is a laboratory-based role where the successful candidate will contribute directly to research efforts by designing, executing, and analyzing experiments related to immune mechanisms, target validation, and therapeutic development. The position requires strong attention to detail and ability to multitask while working in a highly collaborative environment. Key Duties and Responsibilities: Isolate, culture, and manipulate primary human immune cells and cell lines. Design and execute experiments to interrogate immune cell phenotype and function, including cell-based multicolor flow cytometry and Incucyte assays. Troubleshoot experiments and optimize protocols. Collect, analyze, and interpret experimental data while maintaining accurate and detailed laboratory records. Collaborate with scientists across discovery teams to achieve project goals. Prepare data for internal reports and presentations for internal meetings. Perform other duties as needed. Knowledge and Skills: Hands-on tissue culture experience, including the isolation and maintenance of primary human immune cells and human cell lines. Experience with nucleic acid techniques to quantify gene expression such as PCR, qPCR, and RNA sequencing. Experience with a variety of cell-based immunology assays to interrogate immune cell phenotype and function including multicolor flow cytometry and Incucyte assays. Experience measuring soluble analytes such as by ELISA, Luminex, or MSD. Critical thinking and self-reliance to solve tasks independently or ask questions. Strong organizational skills and attention to detail. Willingness and ability to work in a highly collaborative environment. Foundational knowledge of immunology and an eagerness to learn new techniques and skills. Strong analytical skills and proficiency in the following software packages: Microsoft Office, GraphPad Prism, FlowJo and Methodical Mind Analysis Software. Education and Experience: Master's degree (or equivalent degree) in biological sciences and 2+ years of relevant employment experience, or Bachelor's Degree (or equivalent degree) in biological sciences and 5+ years of relevant employment experience Pay Range: $92,900 - $139,300 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: On-Site Designated Flex Eligibility Status: In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Onsite Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com