Researcher jobs in Seattle, WA

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.

PhD Research Intern - Speech AI Centific AI Research Fulltime - 40 hours per week Centific AI Research seeks a PhD Research Intern to design and evaluate speech‑first models, with a focus on Spoken Language Models (SLMs) that reason over audio and interact conversationally. You'll move ideas from prototype to practical demos, working with scientists and engineers to deliver measurable impact. Scope of Work End‑to‑end speech dialogue systems (speech‑in/speech‑out) and speech‑aware LLMs. Alignment between speech encoders and text backbones via lightweight adapters. Efficient speech tokenization and temporal compression suitable for long‑form audio. Reliable evaluation across recognition, understanding, and generation tasks-including robustness and safety. Latency‑aware inference for streaming and real‑time user experiences. Example Projects Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM; compare against strong baselines. Create a data recipe that blends conversational speech with instruction‑following corpora; run targeted ablations and report findings. Build an evaluation harness that covers ASR/ST/SLU and speech QA, including streaming metrics (latency, stability, endpointing). Ship a minimal demo with streaming inference and logging; document setup, metrics, and reliability checks. Author a crisp internal write‑up: goals, design choices, results, and next steps for productionization. Minimum Qualifications PhD candidate in CS/EE (or related) with research in speech, audio ML, or multimodal LMs. Fluency in Python and PyTorch, with hands‑on GPU training; familiarity with torchaudio or librosa. Working knowledge of modern sequence models (Transformers or SSMs) and training best practices. Depth in at least one area: (a) discrete speech tokens/temporal compression, (b) modality alignment to LLMs via adapters, or (c) post‑training/instruction tuning for speech tasks. Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting. Preferred Qualifications Experience with speech generation (neural codecs/vocoders) or hybrid text+speech decoding. Background in multilingual or code‑switching speech and domain adaptation. Hands‑on work evaluating safety, bias, hallucination, or spoofing risks in speech systems. Distributed training/serving (FSDP/DeepSpeed), and experience with ESPnet, SpeechBrain, or NVIDIA NeMo. Tech Stack PyTorch, CUDA, torchaudio/librosa; experiment tracking (e.g., Weights & Biases). LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed. FastAPI/gRPC for services; ONNX/TensorRT and quantization for efficient inference. What We Offer Competitive stipend and hands-on projects with measurable real-world impact. Mentorship from applied scientists and engineers; opportunities to publish and present. Access to modern GPU infrastructure and a supportive environment for fast, responsible experimentation. Flexible location and schedule options, subject to team needs. Benefits: Comprehensive healthcare, dental, and vision coverage 401k plan Paid time off (PTO) And more! Learn more about us at centific.com. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

A globally leading consumer device company headquartered in Cupertino, CA is currently looking for a User Research Assistant to join the AIML User Research team. You will assist and support researchers in study planning, execution, and analysis to enable the team to run an efficient and effective research program. You possess outstanding interpersonal communication skills, creative problem solving, high attention to detail, and a commitment to conducting impactful research in support of our product teams and customers. Do you want to impact billions of users by contributing to extraordinary products? You will become part of a dedicated team that furthers product design, usability and innovation. Bring passion and dedication to this role and there's no telling what you could accomplish. Responsibilities: • Recruit and schedule participants for user studies • Ensure appropriate participant compliance with study protocols • Engage and communicate with participants before, during, and after studies • Setup and break down study session areas • Help ensure study materials, devices, and software will be ready for each study and participant • Assist with study facilitation, such as recording, note taking, and data collection • Assist with data review and clean-up • Assist with preparing and communicating results to stakeholder teams and archiving results • Help troubleshoot and maintain study lab equipment • Track and report on the status of a portfolio of projects in progress Key Qualifications: • Previous work experience requiring high engagement with people • Qualitative user research experience including moderating studies, interviewing, and interacting with participants, ideally in-person and remote • Previous experience managing multiple projects of different complexity simultaneously • Previous experience with participant data management is preferred • Previous study annotation and data handling experience is a plus • High attention to detail and ownership • Strong communication skills with participants, team members, stakeholders, and leadership • Ability to problem solve and create processes and tools to increase efficiency • Familiarity with company's products and ecosystem is a plus Education: Bachelor's degree required, with major or concentration in human factors, cognitive or experimental psychology, human-computer interaction or related field OR equivalent in relevant experience Type: Contract Duration: 7 months with extension Work Location: Seattle, WA (hybrid) Pay range: $ 40.00 - $ 55.00 (DOE)

Our team's mission is to empower content interaction and creation using CV related technologies. We focus on cutting-edge R&D in areas like video understanding, multimodal understanding, image and video synthesis, 3D vision and intelligent editing. We are looking for Research Interns in the area of computer vision and machine learning at all levels at TikTok. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD: PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). RESPONSIBILITIES This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: * Build new features that touch hundreds of millions of people around the world * Solve unique, large-scale, highly complex technical problems * Build the next-generation monetization platform to help millions of customers grow their businesses * Work with your mentor to deliver product features and make engineering improvements * Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability * Conduct cutting-edge research and development in computer vision, machine learning and other related fields * Work with Research Scientists to deliver advanced technologies to TikTok products Minimum Qualifications: * Able to commit to working for 12 weeks during Summer 2025 * Currently pursuing a PhD in Computer Science or a related technical discipline. * Strong track record of research in one or more areas of computer vision, computer graphics and machine learning, preferring candidates with publications in top-tier venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR. * Highly competent in algorithms and programming. * Work and collaborate well with team members. * Ability to work independently. * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: * Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. * Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. * High levels of creativity and quick problem-solving capabilities. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

Play a part in building the next revolution in machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple. Ability to formulate a research problem and design, experiment, implement, and communicate solutions. Ability to work in a diverse, collaborative environment. High-quality open-source contributions to related projects. PhD or equivalent practical experience in Computer Science or a related technical field. Strong presentation skills for internal and external communications Demonstrated expertise in machine learning research Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, etc.) Strong hands-on experience working with Python and deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. **Your Impact** As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. **Minimum Qualifications** + Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram. + Proficiencyin software development, with experience in relevant programming languages (such as Python and Go) and associated tools. + Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). **Preferred Qualifications** + Experience working with inference engines (e.g.,vLLM, Triton,TorchServe) for LLM serving and optimization. + Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. + Familiarity with agentic AI concepts, agent frameworks, and related applications. + Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow,PyTorch, or Hugging Face Transformers), asevidencedby academic, project, or professional work. + Understanding ofmachine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 **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:** 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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

About the Team The Applied Machine Learning Enterprise AI Foundation US team drives the design, development, and operation of MaaS solutions in US and rest of world overseas of mainland China. We are a product team that builds full stack end-to-end solutions covering text and multi-modality LLM algorithms, prompting engineering, LLM model alignment, and intelligent agents, etc. for a wide range of application domains. We build products that facilitate development of LLM applications and landing into production. We are actively seeking talented Software and Algorithm Engineers specializing in prompt engineering, RAG, multi-agents, post-train, RL, Robotics to join our team. In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for LLM solutions including model fine-tuning, evaluation, inference, alignment, prompt engineering, intelligent agent, etc. To ensure we have the ability to run current and future models at increasingly high scale with unprecedented efficiency. Responsibilities: * lead the creation of next-generation, high-capacity LLM platforms and innovative products. * work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains. * maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment.Minimum Qualifications: * Ph.D./Master in Computer Science, Data Science, Artificial Intelligence, or a related field. * Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems. * Proficiency in programming languages such as Python, Rust, or C++ and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, vllm, etc.). * Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Being familiar with PEFT, RL, MoE, CoT or Langchain is a plus. Preferred Qualifications: * Excellent problem-solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes. * Published research papers or contributions to the LLM community would be a significant plus. * Experience with inference tuning and Inference acceleration. Have a deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, pytorch 2.0 and similar technologies. * Experience with large scale machine learning systems' scheduling and orchestration, familiar with Kubernetes and Docker. * Experience with evaluation of AI systems, LLM application & agent development is desirable.

Business Unit What the Role Entails Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models and Agents. We are currently seeking researchers in Agents, with an emphasis on developing stable and efficient scalable RL framework and algorithms. The final position level will be determined based on the candidate's experience and accomplishments. 1. Conducting cutting-edge algorithm research, with a focus on the design and optimization of scalable RL frameworks and algorithms for Agents with various environments, including Web Agent, GUI Agent. Research areas include but are not limited to RL Algorithms, Reward Modeling, World Models, GUI Agent, and Web Agent. 2. Conduct large-scale experiments of technology and algorithm innovations in scenarios such as autonomous agents and self-improving agents, deliver impactful algorithms for real world applications, and publish influential research papers. Who We Look For 1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university. 2. Experience of working in leading global companies in the field of large foundation models. 3. Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow. 4. Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects. 5. Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 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.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. Qualifications Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc. Experience translating methods between areas of application is highly valued. LLM experience is valuable, but not necessary. Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience. The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Robotic Control Policy (PhD) Responsibilities: 1. Conduct collaborative research on developing control policies for a range of robotics platforms. 2. Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, and Reinforcement Learning. 3. Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms. 4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. **Minimum Qualifications:** Minimum Qualifications: 5. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field 6. Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way 7. Experience with RoS, Python, PyTorch or JAX, or other related languages 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 9. Experience with modern control policies like reinforcement learning, imitation learning, and large behavioral models 10. Familiarity with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory 11. Experience working with robot manipulation 12. Experience learning policies from human demonstrations with wearable devices 13. Experience working and communicating cross functionally in a team environment 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar 15. Intent to return to the degree program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + 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@fb.com.

This candidate will focus on benchmarking social intelligence of the AI-native collaboration models and designing socio-cognitive rewards for training. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements Referral Candidates Referral Candidates

1. General - Job Title: UX Researcher II - Type: Contract - Level: Mid -Level - Workplace: Remote - Duration: ASAP to June 30th, 2024, with strong potential for extension. 2. About the job - How can you apply your expertise in UX research to inform product strategy and design decisions? - How do you effectively collaborate with cross -functional teams to incorporate research insights into product development? - Are you experienced in conducting qualitative research for consumer products? - How would you present research findings in clear and compelling ways to key stakeholders? - Are you familiar with user research tools such as UserTesting, dscout, and Qualtrics? Do such questions intrigue you? 3. Summary of the opportunity - Client Overview: We are hiring for a design and research team at a leading technology company, focused on creating new experiences for customers across Windows, Store, Cloud, Devices, and Mixed Reality. - Role Summary: As a UX Researcher II, you will be responsible for conducting user research on the Microsoft Store on Windows and the web. Your insights will inform the product strategy and design explorations of the Store, with the goal of deepening user engagement. 4. What are the key responsibilities? - Responsibilities and Duties: - Understand and prioritize research requests in collaboration with cross -discipline stakeholders. - Use a range of research techniques to inform product and design decisions throughout the product cycle. - Deliver timely and actionable research findings to key stakeholders. - Collaborate with cross -functional teams to incorporate research insights into the product. - Foster customer -centric thinking within design and engineering teams. 5. What experience are we looking for to drive success? - MUST -Have Skills and Qualifications: - Bachelor's degree in human -computer interaction, experimental/social/cognitive psychology, behavioral science, human factors, or a related field. - Minimum 3+ years of industry experience in conducting qualitative research for consumer products. - Proficiency in both qualitative and quantitative research methodologies. - Experience with user research tools such as UserTesting, dscout, and Qualtrics. - Preferred Skills and Qualifications: - Experience in the e -commerce space, including online shopping and payment methods. 6. So calling all top performers - Exciting Opportunity: This role presents an exciting opportunity to contribute to impactful projects and initiatives while honing your skills in UX research within a dynamic technology company. - Competitive Compensation: Competitive hourly rate offered. - Application Process: To apply for this role, please apply online or email your resume, highlighting your relevant experience and qualifications. Please ensure that your application provides accurate information. - About this posting: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment. - Equal Employment Opportunity: We are committed to diversity and inclusion, and we encourage diverse candidates to apply. We have a non -discrimination policy and provide accessibility and accommodation. In conclusion: Don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! Please feel free to drop in your resume at *******************.

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! The Opportunity Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design! What You'll Do * Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express. * Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning. * Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling. * Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows. * Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment. * Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life. * Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback. Basic Qualifications * Masters, or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience. * Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX. * Experience with modern ML architectures including transformers / visual transformers, diffusion models, or GANs. * Experience with cloud platforms, MLOps and deploying ML systems in production at scale. * Be able to quickly read, understand and prototype relevant research papers. Preferred Qualifications * Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.) * Familiarity with agent-based systems, intelligent assistants, or planner-based AI. * Experience in creative, imaging, or multimedia domains. * Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH). What You Need to Succeed * Passion for creativity and learning with a drive to improve solutions. * Be up to date with the latest and greatest in AI Research. * Comfortable working in a fast, iterative and ambiguous environment. * Strong communication skills with the ability to explain technical ideas and experiment results clearly. * Collaborative spirit with a focus on product impact, AI / ML innovation and engineering excellence. 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 $102,400 -- $196,300 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. 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 Jan 31 2026 12:00 AM 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 **************.

Sleeper is building the leading platform to connect friends over sports. On Sleeper, fans can check scores, play games, chat, share memes, and more. We have over 10 million fans on our platform worldwide, and we continually add new games and social features to expand the ultimate digital playground for sports fans. Hybrid (2 days): SF Bay Area Remote: California (non-SF), Oregon, New York City, or PST hours, with willingness to relocate full-time About the Design and Research Team We'll jump into any sport or game together-sometimes in the name of “research.” We work hard and play hard, from bi-annual design trips to game-time and company-sponsored fantasy leagues We're customer-obsessed and proud to craft experiences users love If You're Drafted, You'll… Support research projects and help synthesize findings for the team Monitor users' app engagement metrics using internal dashboards Conduct benchmarking and ongoing monitoring of our competitors for updates Help set up and take part in UX quality assurance reviews We're scouting for team players who… Are pursuing a degree in a related field with a graduation date in 2025, or new grad with around 1 or fewer years of experience Understand the fundamentals of user research and have a strong attention to detail Love collaborating and can juggle multiple projects Thrive in a fast-paced environment as a proactive self-starter-at Sleeper, we go above and beyond and sweat the details Have an eagerness to learn and are genuinely curious or passionate about sports Extra points if you… Hold a degree in HCI, information sciences, stats, data analytics, human-centered design, or a related field Have run usability tests-in-person or remote-for mobile apps Are skilled with remote testing tools, surveys, or analytics dashboards Have experience with fantasy sports, daily fantasy, or sports betting-or just a serious passion for football or basketball More about the internship... Join a small cohort of interns collaborating with mentors and senior team members. Get onboarded to our research process and ramp up to full projects, including a capstone. Completing the 12-week program gives you priority for our open full-time roles. Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, our team members found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing - connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role in those locations, a reasonable estimate of the base compensation range for new hires is $20 USD to $32 USD per hour. No overtime work allowed, and the internship will be for 3 months or otherwise negotiated; salary upon potential, full-time conversion will be adjusted and further negotiated. Please note that the compensation range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to ****************. Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at ***************

About the Role We're looking for an experienced 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 7+ 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 $197,000-271,700 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. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. DataRobot is looking for enthusiastic, creative, motivated candidates to join us for an Internship. We recognize the value that Interns bring to our organization, and we want to offer you an opportunity to grow and develop your professional experience and competencies. **What does it take?** + Research experience, including internships, full-time, or at a lab. + Experience contributing to research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). + Interest in working with Generative AI, LLMs, and AI agents. **Is this You?** + Currently enrolled in a PhD degree in Computer Science or related technical field. + Experienced in one or more AI related areas such as Natural Language Understanding, Machine Learning, Deep Learning, Reinforcement Learning, or Prompt Engineering. + Strong publication record demonstrating the ability to carry out novel independent research. + Strong verbal and written communication skills. + Ability to take initiative on projects and tasks and deliver on these. + Team-oriented and eager to learn. **What you get in return:** + We move fast and reward hard work. We expect results, and we love doing the work we're passionate about. + Our employees have a voice in what we do! We continually challenge and support each other to find better, more robust solutions for customers and partners. After all, it's our customers that make us tick. + We like to have fun along the way! We genuinely like each other and enjoy spending time together at company outings. + We're global. We are an international company supporting international customers, and we know that regular collaboration across the globe is how the best ideas come about. + We're committed to building a company culture where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where dedicated people of all cultures, perspectives, backgrounds, races, genders, religions, orientations, abilities, and ages can 10x their lives. + Flexible time off - we trust you to take the time you need when you feel it is appropriate, given your workload and responsibilities. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty. **_The Department of Urology_** **has an outstanding opportunity for a** **_Temporary_** **Research Scientist/Engineer 2** **to join their team.** The Research Scientist/Engineer 2 will facilitate ongoing research projects spanning basic and translational science studies, and interact with collaborators at the University and the Fred Hutchinson Cancer Center. This person will work under supervision to complete assigned tasks/projects. The overall direction will be supplied by the Principal Investigator. The employee will be responsible for following experimental design and safety guidelines. The employee will also act as a team member for our on-call Rapid Autopsy Program, interacting with a team of research scientists and physicians through tissue collections. The employee will also work in vivarium with mice. **COMPLEXITIES** This position is in the Department of Urology, Genitourinary Cancer Research Laboratory. The position involves cell culture, performing a variety of molecular biology techniques, processing and staining of tissue samples, and working in an animal facility with mice. The candidate must have a willingness to learn and the ability to work with team members within the laboratory and collaborators outside of the laboratory. The employee will perform routine scientific work applying standardized scientific procedures and techniques but are also involved in the on-call Rapid Autopsy Program. **DUTIES AND RESPONSIBILITIES** **Cell Culture, Basic Molecular Biology and Standard Histology Techniques 60%:** The successful applicant will be highly proficient in: · Techniques in cell culture including drug screen assays and transfections. · The isolation, measurement and quality control of RNA and DNA for downstream molecular analysis. · Techniques such as: realtime PCR, western blot analysis, and ELISA. · Basic histology and imaging (fixing, decalcification, sectioning, and staining of tissue including immunohistochemistry and immunofluorescence). · Working in SPF facility with mice · Utilize thorough knowledge of Cell Culture, Basic Molecular Biology and Standard Histology Techniques · Teaching and supervision of delegated tasks with participation in the execution of these tasks as necessary. · Meets with the Pl or other collaborating faculty and participates in running of the research studies. · Assigns study tasks to support staff to assure timely execution of the research project. · Meets with the Pl or other collaborating faculty and participates in the design of the research studies. · Assures that the studies are performed according to approved protocols. · Is cognizant of the ongoing research projects in the facility and is able to articulate overall research goals. **Collection and Documentation of Data 20%:** · Must be very attentive to detail and keep accurate records, in addition to research notes that provide sufficient detailed information for reproducing results or procedures by other individuals. · Collect, compile (e.g., entering data into Excel spreadsheet and generating graphs), and correlate data and recognize discrepancies in results. · Contribute data/findings for use in reports, documents or oral/written presentations. **Participate in an on-call Rapid Autopsy team 10%:** · Rotate (every third week) as a member of a Rapid Autopsy team. · When on rotation, the Rapid Autopsy Program necessitates that the applicant be in the laboratory within two hours of being paged. Each laboratory member participates in approximately 5-6 rapid autopsies per year. · Assist with the Rapid Autopsy process and collection and processing of samples. **Other Related Duties 10%:** · Order and ship materials when required. · Interact in a collaborative manner with others to accomplish organizational goals and provide ideas for improved efficiency. · Update the laboratory chemical inventory, maintain the chemical inventory and manage the disposal of chemicals when appropriate, with the expectation of becoming the laboratory chemical safety officer. · Learn new techniques as required for optimal job performance. · Work with undergraduate students when required. · Perform other duties as assigned. **MINIMUM REQUIREMENTS** · Bachelor's degree in basic biological sciences with an emphasis in one of the biology disciplines and at least two years of relevant experience. **_Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a_** **_license/certification/registration._** **ADDITIONAL REQUIREMENTS** A strong working understanding of cell culture. · Basic molecular biology experience in RNA and DNA isolation, realtime PCR, western blot analysis, and immunohistochemistry. · Experience working with mice. · Familiarity with software to compile spreadsheets of acquired data. **DESIRED QUALIFICATIONS** · Experience in the processing of tissues is desired but not a requirement. **CONDITITONS OF EMPLOYMENT** · Must be able to work to complete assigned tasks/projects under supervision. · This position requires flexibility in the working hours, including extension into the evening when mandated by experiments or processing of specimens, and on occasion requires working outside of the standard workweek. **Compensation, Benefits and Position Details** **Pay Range Minimum:** $61,920.00 annual **Pay Range Maximum:** $113,580.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** Not Applicable **About the UW** Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. **Our Commitment** The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (*********************************************************************************************************************** . To request disability accommodation in the application process, contact the Disability Services Office at ************ or ********** . Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

Program Description In October 2021, Washington Emergency Care Physicians (WECP) proudly opened the first Pacific Northwest-based emergency medicine post graduate program for advance practice providers (APPs). The Program is specifically designed for physician assistants and nurse practitioners who are interested in a life-long career in emergency medicine with training sites in the Puget Sound through Tacoma Emergency Care Physicians (TECP), a subsidiary of WECP. Program Objectives To provide exceptional training and experience for APP professionals to have a successful career in any emergency department setting. To prepare candidates well for recognized emergency medicine APP examinations (NCCPA-CAQ for physician assistants, AANPCB Boards for nurse practitioners) Curriculum Fifteen (15) months program duration with over 3000 hours of post graduate training Close to 2400 hours of clinical training Over 300 hours of didactics to include over an introductory bootcamp followed my weekly activities that include conferences, meetings, case presentations, ultrasound training, procedure lab or simulation. Over 400 hours of independent study to include case review & presentation preparation, assigned CME and readings, and scholarly research project. Expected commitment of 50 hours per week of the above activities Phased Training with increasing levels of expected competency and confidence. Post Graduate APP 0: Pre-Boot Camp: 37 hours of on-line Emergency Medicine CME months before start of Program Boot Camp: First 2 weeks at start of Program Post Graduate APP 1: Six (6) months of ED clinical shifts in low acuity zones Post Graduate APP 2: Two and half (2.5) months of external rotations - Trauma (4 wks), Peds UCC & ED(4 wks), Ophthalmology/Critical Care/Interventional Rad(1.5 wks), Vacation(1wk) Post Graduate APP 2: Six (6) months of ED clinical shifts in high acuity zones Continuing Medical Education Required 150+ CME hours (provided and paid for by Program) Original EM Boot Camp on-line course, to be completed before start of program EMRAP subscription for duration of program DynaMed subscription ATLS, PALS Faculty Advisor & Mentor will be assigned to each post graduate candidate Regularly scheduled monthly meetings with Faculty Advisor Advisor to monitor progress and identify strengths/areas of improvement Advisor with candidate will develop individualized plan to ensure continued growth and development Senior Post Grad APPs are expected to mentor Junior Postgrads. Two (2) classes per year Fall - October 1st with 2 candidates Spring - April 1st with 2 candidates Training Locations All sites are part of MultiCare Health Systems Puget Sound: MultiCare Tacoma General (Level 2 Trauma, primary cardiac & stroke), Allenmore (Level 4 Trauma), and Covington Hospitals Admission requirements Must have graduated from an accredited PA/NP school Must be certified/licensed in Washington State after 4 weeks of starting program Must be able to evaluate and treat both pediatric and adult patients Must be willing to relocate to the Puget Sound for duration of program. Must be ACLS and PALS certified for duration of program Compensation & Benefits Salary: $65,780 per year ($82,150 for the 15-month Term) Reimbursement for licensing, certification, credentialing fees Benefits: medical and dental insurance, short-term disability insurance, 80 hours of PTO Eligible for retirement benefits if permanently hired after completion of program How to Apply Submit you most current Curriculum Vitae on ******************************************** Submit personal statement explaining why you are applying to the program along with your long-term professional goals Send three (3) letters of recommendation to the Program Director - to be sent directly from the authors of the letters. At least one letter must be from school director or faculty. Send your PA/NP school transcripts to the Program Director. Selected applicants will be asked to participate in an initial interview using a virtual video conference format. From those, applicants will be further selected to advance to a secondary in-person interview in Tacoma, WA Application Timeline Preliminary interviews will be scheduled once submitted application is completed (which include Letters of Recommendation) Spring class: please submit application with LORs by June 1st (10 months prior to start) Fall class: please submit application with LORs by December 1st (10 months prior to start). Frequently Asked Questions Weblink Contact Information Jaime Delcampo, MD, FACEP Program Director ***************************** ************** Cody Balogh, PA-C Assistant Program Director ************************** Joe Montgomery, PA-C Core Faculty/ Advisor ******************************** Amanda Stalder, PA-C Core Faculty/ Advisor *****************************

Benefits Although Biblioso benefits may vary based on work location and the nature of the job, in general Biblioso employees have access to a competitive benefit package. This package includes a 401(k) retirement plan, disability coverage, EAP (Employee Assistance Program), life insurance, health insurance, paid vacation and sick time, and paid holidays. Job Description Summary We are seeking a motivated and curious Lab Assistant Intern to support datacenter and hardware operations while learning hands-on technical skills in a cutting-edge environment. This internship is designed for recent graduates or individuals early in their hardware/IT journey who have a solid foundational understanding and a strong desire to grow into a full-time Datacenter Technician role. As a Lab Assistant Intern, you will work onsite at the datacenter in Redmond, WA, assisting with hardware builds, basic troubleshooting, equipment setup, and general lab operations. This role is ideal for someone who enjoys hands-on work, is eager to learn, and can adapt quickly in a fast-paced environment. Team Environment In this role, the nature of the work is dynamic and requires a collaborative attitude. While you will have specific duties, it's important to understand that the entire team is responsible for the final delivery, and this may occasionally involve taking on additional tasks outside your primary responsibilities. The ability to adapt and contribute wherever needed is key to succeeding in this environment. Schedule Flexible, must be open for night shifts. Primary Responsibilities Hands-On Infrastructure Support (Training Provided) Assist with physical installation of racks, servers, network devices, cabling, and power units. Help build and configure servers, including wiring and basic setup. Support routine lab maintenance and organization, including prototype and test hardware upkeep. Learn and assist with cabling, power routing, and equipment labeling. Technical Learning & Support Participate in system setup and basic hardware validation under supervision. Install operating systems and help run automated test scripts. Learn to use debug tools such as multimeters, logic analyzers, and oscilloscopes. Support simple board troubleshooting, firmware flashing, and component handling. Assist with basic soldering or rework tasks (training available). Collaboration & Flexibility Work closely with senior technicians and engineers to support project goals. Adapt to changing priorities and take on new tasks as needed. Maintain flexibility with scheduling, including night or late-evening shifts. Demonstrate reliability, strong work ethic, and willingness to learn continuously. Basic Qualifications Recent graduate or currently pursuing a degree/certificate in Engineering Technology, Computer Hardware, IT, or a related field - or equivalent hands-on experience. Foundational understanding of computer hardware, components, and basic networking. Comfortable working with tools, following technical instructions, and performing physical tasks. Strong desire to develop into a full-time Datacenter Technician role. Preferred / "Nice-to-Have" Skills (All Trainable) Exposure to server builds, PC assembly, or lab environments. Familiarity with basic board troubleshooting or electrical concepts. Any experience with Linux or OS installations. Intro-level soldering or rework experience. Interest in datacenter operations, hardware validation, or system deployment. Knowledge of scripting, hardware logging tools, or equipment like oscilloscopes (a plus). What This Internship Offers Hands-on experience with datacenter-level hardware and lab operations. Training and mentorship from experienced technicians and engineers. Flexible onsite scheduling with opportunities to support critical production hours. A clear pathway to transition into a full-time Datacenter Technician position upon performance and business need. Ready to apply? Apply now To apply for this job email your details to ********************