Research internship jobs in University Place, WA - 1,017 jobs

About the Team: The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth can not be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. 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 TikTok. 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. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: * Analyze E-Commerce businesses, focusing on traffic efficiency, user behavior, and merchant operations. Independently undertake special analyses on merchant growth, traffic conversion, creator/content growth, and user behavior. * Develop short-term and long-term scale and revenue targets. * Provide regular reports and insights to facilitate data-driven decision-making. * Monitor and analyze various operating indicators and drivers of the e-commerce operations team on a daily basis. * Leverage insights from analysis to make informed recommendations for future business strategies.Minimum Qualifications: * Final year or recent graduate in MBA. * Have good communication and coordination skills, excellent logical thinking ability, able to quickly understand business. * Strong analytical skills and proficiency in data analysis tools such as SQL/Python. * Excellent communication skills and can effectively handle cross-functional collaboration. Preferred Qualifications: * Experience in e-commerce industry operation analysis, business analysis, data analysis, etc. * Background in Business, Analytics, Mathematics, or a related field.

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 * Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Proficiency in 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), as evidenced by academic, project, or professional work. * Understanding of machine 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.

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

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our team at Meta Reality Labs is dedicated to exploring new technologies and integrating them into custom image sensors. As an intern, you will have the opportunity to work on projects that push the boundaries of what is possible in the field of image sensors and contribute to the development of AR/VR devices. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, or related field * Research experience in one or more of the following aspects of Image Sensors: Device physics and fabrication, Analog/mixed signal circuit design, Imaging systems (camera, ISP, algorithm) * Experience with analog/mixed-signal circuit design CAD tools such as Cadence Virtuoso * Successful tape-out and hands-on bench testing experience * Simulation and modeling experience with scripting languages such as Python, Matlab * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * 3+ years of experience in circuit design * Tape out experience with advanced technology nodes * Image signal processing experience (noise reduction, HDR processing) * Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as IISW, IEDM, VLSI, ISSCC, JSSC, TED Responsibilities * Investigate and propose novel pixel architectures and sensor architectures * Perform pixel schematic/layout design and simulation in advanced process nodes * Architect and design readout and processing circuits to achieve ultra-low power consumption * Characterize image sensors and experiment with new image sensor operation schemes * Collaboration with and support of other researchers across various disciplines * Communication of research agenda, progress and results About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

AI Lab at Seattle Area Tencent is a leading internet company in China. Tencent AI Lab at Seattle Area was established in May 2017. The lab strives to continuously improve AI's capability in perception, cognition, and creativity. Researchers there aim at solving challenging real-world problems with advanced technologies and publish extensively at top conferences and journals.Research Internship - Agent Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. The lab's long-term ambition is to drive the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). We are currently seeking research interns in Agents, with an emphasis on developing stable and efficient scalable RL framework and algorithms for our Seattle area office located at Bellevue WA for the year 2026. Every research intern will work with researchers on a research project aimed at attacking one of the core problems on the design and optimization of scalable RL frameworks and algorithms for self-improving 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. Who We Look ForRequirements & Qualifications The ideal intern candidates are those who Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university, are self-motivated and excited about developing novel techniques, have research experiences in natural language processing or machine learning, are proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch. have good publication track records and history of creativity and intellectual flexibility, have excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. Intern duration: 3 months (with the possibility of extension). Can start any time in the year 2026. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.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.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: * Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. * Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. * Contribute to the co-design of next-generation AI/ML algorithms and systems. * Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. * Publish original research and speak at conferences and events. What we need to see: * Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage. * Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. * Background with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. * Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 22, 2025. 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.

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 seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do * Work towards results-oriented research goals, while identifying intermediate achievements. * Contribute to research and advanced development that can be applied to Adobe product development. * Help integrating novel research work into Adobe Firefly product. * Lead and collaborate on projects across different teams. What You Need to Succeed * Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning * Some experience in Generative AI * Experience communicating research to public audiences of peers. * Experience working in teams. * Knowledge in Python and typical machine learning development toolkits. * Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. 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 $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. 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 There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. 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 **************.

Join Collaborative Robotics this summer as an AI Research Engineer Intern, and evaluate modern AI/ML approaches for bimanual robotic manipulation. You'll be part of a small research team focused on understanding how recent AI/ML methods perform on real hardware - identifying where it succeeds, where it struggles, and what practical adjustments might help. This will involve reading and writing code, reading academic papers, and running experiments to evaluate and present results. This role is well-suited for strong undergraduate seniors or graduate students (M.S. or Ph.D.) who want hands-on exposure to ML software engineering for robotics and experience training models on physical robots in an industry setting. This role is located at our Seattle, WA office. This is a full time, 3-month (12-week) internship running June-August 2026. The application deadline for this role is January 11th, 2026. Interviews will take place mid-late January 2026. Key Responsibilities: Review and present learnings from ML research papers on robotic manipulation. Evaluate and augment code to probe the strengths and weaknesses of research methods. Train ML models. Contribute to data collection. Take part in team standups and demos, to see how industry research is conducted. Minimum Qualifications: Currently enrolled in a master's or PhD program, or in the final year of an undergraduate program, in a relevant scientific discipline (e.g., Computer Science, AI/ML, Mathematics, Physics, Engineering, or a related field). Demonstrated capability in software engineering, including Python proficiency. Experience with implementation of ML research models and methods. Eagerness to learn and collaborate with others. Highly motivated teammate with excellent oral and written communication skills. Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team. Able to work full-time (around 40 hours/week) onsite in Seattle, WA for the duration of the internship. Must have and maintain US work authorization. Preferred Qualifications: Understanding of imitation learning, reinforcement learning, transformer models, and diffusion models. Published papers in relevant ML / robotics fields. Open-source contributions to ML / robotic learning code projects. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

Job Description Talus Bioscience is seeking highly motivated summer interns to join our team! These paid summer internships provide opportunities to own and participate in challenging and impactful business-critical projects at a thriving biotech start-up! Internships are approximately 3-months (summer) in duration and the roles are performed on-site at our Seattle, WA laboratory under the supervision of PhD scientists. Relocation assistance benefits are not available for this job posting. Interns will participate in all lab meetings and team meetings, as well as Talus Bio social and team-building events. All positions require excellent communication and interpersonal skills, and successful candidates will complement our culture and align with our core values. At the end of the internship, interns will present their project to the entire company. Internship Description: The Drug Discovery team is seeking a summer intern to participate in research and drug discovery in the area of Oncology. The successful candidate will learn and apply cellular/molecular biology to validate targets and hits as well as screen compounds coming from our proteomics platform. The intern in this role will be expected to make intellectual as well as technical contributions to the team. Target Applicant: Undergraduate or graduate student with 2+ years of lab experience; preferred majors: cell biology, cancer biology, molecular biology or biochemistry [Note: this internship is available only to those with legal authorization to work in the US] Status: Full-time role (40 hours/week); hourly (non-exempt) position Required Skills and Experience: Biology-related research experience especially in RT-qPCR assays, basic knowledge of molecular and cancer biology or cancer pharmacology-related fields Assignments: Work with the team to learn and conduct studies using in vitro & cell-based assays, as well as preparing samples for evaluation with our proteomics platform Job Posted by ApplicantPro

Join Collaborative Robotics this summer as an AI Research Engineer Intern, and evaluate modern AI/ML approaches for bimanual robotic manipulation. You'll be part of a small research team focused on understanding how recent AI/ML methods perform on real hardware - identifying where it succeeds, where it struggles, and what practical adjustments might help. This will involve reading and writing code, reading academic papers, and running experiments to evaluate and present results. This role is well-suited for strong undergraduate seniors or graduate students (M.S. or Ph.D.) who want hands-on exposure to ML software engineering for robotics and experience training models on physical robots in an industry setting. This role is located at our Seattle, WA office. This is a full time, 3-month (12-week) internship running June-August 2026. The application deadline for this role is January 11th, 2026. Interviews will take place mid-late January 2026. Key Responsibilities: * Review and present learnings from ML research papers on robotic manipulation. * Evaluate and augment code to probe the strengths and weaknesses of research methods. * Train ML models. * Contribute to data collection. * Take part in team standups and demos, to see how industry research is conducted. Minimum Qualifications: * Currently enrolled in a master's or PhD program, or in the final year of an undergraduate program, in a relevant scientific discipline (e.g., Computer Science, AI/ML, Mathematics, Physics, Engineering, or a related field). * Demonstrated capability in software engineering, including Python proficiency. * Experience with implementation of ML research models and methods. * Eagerness to learn and collaborate with others. * Highly motivated teammate with excellent oral and written communication skills. * Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team. * Able to work full-time (around 40 hours/week) onsite in Seattle, WA for the duration of the internship. * Must have and maintain US work authorization. Preferred Qualifications: * Understanding of imitation learning, reinforcement learning, transformer models, and diffusion models. * Published papers in relevant ML / robotics fields. * Open-source contributions to ML / robotic learning code projects. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Internship: AI Safety, Jailbreaking Attacks & Defense, Agentic AI, Human Behavior (Ph.D. Research Intern) Company: Centific Location: Seattle, WA (or Remote) Type: Full-time Internship Build the Future of Safe and Responsible AI Are you advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI-with publications to show for it? Join us to translate pioneering research into robust security and trustworthy LLM systems that resist adversarial and behavioral exploits. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As a Ph.D. Research Intern, you'll own high-impact experiments from concept to prototype to deployable modules, directly contributing to our platform's security guarantees. What You'll Do Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming). Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs. Agentic AI Security: Prototype workflows for multi-agent safety (e.g., agent self-checks, regulatory compliance, defense chains) that span perception, reasoning, and action. Benchmark & Harden LLMs: Create reproducible evaluation protocols/KPIs for safety, over-defensiveness, adversarial resilience, and defense effectiveness across diverse models (including latest benchmarks and real-world exploit scenarios). Deploy and Monitor: Package research into robust, monitorable AI services using modern stacks (Kubernetes, Docker, Ray, FastAPI); integrate safety telemetry, anomaly detection, and continuous red-teaming. Example Problems You Might Tackle Jailbreaking Analysis: Systematically red-team advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma, etc.), uncovering novel exploits and defense gaps. Multi-turn Obfuscation Defense: Implement context-aware, multi-turn attack detection and guardrail mechanisms, including countermeasures for obfuscated prompts (e.g., StringJoin, narrative exploits). Agent Self-Regulation: Develop agentic architectures for autonomous self-check and self-correct, minimizing risk in complex, multi-agent environments. Human-Centered Safety: Study human behavior models in adversarial contexts-how users probe, trick, or manipulate LLMs, and how defenses can adapt without excessive over-defensiveness. Minimum Qualifications Ph.D. student in CS/EE/ML/Security (or related); actively publishing in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, BlackHat, IEEE S&P, etc.). Strong Python and PyTorch/JAX skills; comfort with toolkits for language models, benchmarking, and simulation. Demonstrated research in at least one of: LLM jailbreak attacks/defense, agentic AI safety, human-AI interaction vulnerabilities. Proven ability to go from concept → code → experiment → result, with rigorous tracking and ablation studies. Preferred Qualifications Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks). Prior work on multi-agent architectures or robust defense strategies for LLMs. Familiarity with red-teaming, synthetic behavioral data, and regulatory safety standards. Scalable training and deployment: Ray, distributed evaluation, CI/telemetry for defense protocols. Public code artifacts (GitHub) and first-author publications or strong open-source impact. Our Stack (you'll touch a subset) Modeling: PyTorch/JAX, Hugging Face, OpenMMLab, Mistral, LLaMA Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART), human behavior simulation Systems: Python, Ray, Kubernetes, Docker, FastAPI, Triton, Weights & Biases Defense Pipelines: Context-aware filtering, prompt manipulation detection, anomaly telemetry What Success Looks Like A publishable outcome (with company approval) or production-ready module measurably improving safety KPIs: adversarial robustness, over-defensiveness, and incident response latency. Clean, reproducible code with documented ablations and end-to-end rerun reports for safety benchmarks. A demo that communicates capabilities, limits, and next steps in defense and security assurance. Why Centific Real Impact: Your research ships-directly securing our core features and AI infrastructure. Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML. Velocity + Rigor: Balance high-quality research with mission-critical product focus. How to Apply Email your CV, publication list/Google Scholar, and GitHub (or code artifacts/videos) to with the subject line: “AI Safety - Ph.D. Research Intern” 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.

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Internship: AI Safety, Jailbreaking Attacks & Defense, Agentic AI, Human Behavior (Ph.D. Research Intern) Company: Centific Location: Seattle, WA (or Remote) Type: Full-time Internship Build the Future of Safe and Responsible AI Are you advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI-with publications to show for it? Join us to translate pioneering research into robust security and trustworthy LLM systems that resist adversarial and behavioral exploits. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As a Ph.D. Research Intern, you'll own high-impact experiments from concept to prototype to deployable modules, directly contributing to our platform's security guarantees. What You'll Do * Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming). * Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs. * Agentic AI Security: Prototype workflows for multi-agent safety (e.g., agent self-checks, regulatory compliance, defense chains) that span perception, reasoning, and action. * Benchmark & Harden LLMs: Create reproducible evaluation protocols/KPIs for safety, over-defensiveness, adversarial resilience, and defense effectiveness across diverse models (including latest benchmarks and real-world exploit scenarios). * Deploy and Monitor: Package research into robust, monitorable AI services using modern stacks (Kubernetes, Docker, Ray, FastAPI); integrate safety telemetry, anomaly detection, and continuous red-teaming. Example Problems You Might Tackle * Jailbreaking Analysis: Systematically red-team advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma, etc.), uncovering novel exploits and defense gaps. * Multi-turn Obfuscation Defense: Implement context-aware, multi-turn attack detection and guardrail mechanisms, including countermeasures for obfuscated prompts (e.g., StringJoin, narrative exploits). * Agent Self-Regulation: Develop agentic architectures for autonomous self-check and self-correct, minimizing risk in complex, multi-agent environments. * Human-Centered Safety: Study human behavior models in adversarial contexts-how users probe, trick, or manipulate LLMs, and how defenses can adapt without excessive over-defensiveness. Minimum Qualifications * Ph.D. student in CS/EE/ML/Security (or related); actively publishing in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, BlackHat, IEEE S&P, etc.). * Strong Python and PyTorch/JAX skills; comfort with toolkits for language models, benchmarking, and simulation. * Demonstrated research in at least one of: LLM jailbreak attacks/defense, agentic AI safety, human-AI interaction vulnerabilities. * Proven ability to go from concept → code → experiment → result, with rigorous tracking and ablation studies. Preferred Qualifications * Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks). * Prior work on multi-agent architectures or robust defense strategies for LLMs. * Familiarity with red-teaming, synthetic behavioral data, and regulatory safety standards. * Scalable training and deployment: Ray, distributed evaluation, CI/telemetry for defense protocols. * Public code artifacts (GitHub) and first-author publications or strong open-source impact. Our Stack (you'll touch a subset) * Modeling: PyTorch/JAX, Hugging Face, OpenMMLab, Mistral, LLaMA * Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART), human behavior simulation * Systems: Python, Ray, Kubernetes, Docker, FastAPI, Triton, Weights & Biases * Defense Pipelines: Context-aware filtering, prompt manipulation detection, anomaly telemetry What Success Looks Like * A publishable outcome (with company approval) or production-ready module measurably improving safety KPIs: adversarial robustness, over-defensiveness, and incident response latency. * Clean, reproducible code with documented ablations and end-to-end rerun reports for safety benchmarks. * A demo that communicates capabilities, limits, and next steps in defense and security assurance. Why Centific * Real Impact: Your research ships-directly securing our core features and AI infrastructure. * Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML. * Velocity + Rigor: Balance high-quality research with mission-critical product focus. How to Apply Email your CV, publication list/Google Scholar, and GitHub (or code artifacts/videos) to with the subject line: "AI Safety - Ph.D. Research Intern" 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.

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 ***************

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Intern, Research - Temporary Part Time will provide additional support to the faculty and clinical trial team in the Cord Blood Transplant Program. For additional information please see: ***************************************************************************************************************************************************** This role will have the opportunity to work onsite at our South Lake Union campus. Candidates must include a cover letter as part of their application to be considered. Responsibilities Work in a laboratory space and interact with laboratory personnel following established lab safety protocols. Collaborate with members of the research team and their work on various projects. Contributes to other projects as agreed upon by both the intern and CBT research team. Assist with Data entry and analysis using basic computer skills and programs such as Excel and RedCap. Shadow and explore career paths of interest within the CBT. Qualifications MINIMUM QUALIFICATIONS: Entering senior year of school. 18 years or older. Interest in clinical, laboratory, or public health research with no specific requirements. Evidenced interest in health care and/or research. Highly Motivated with evidence of leadership role. Prior internship and/or some experience in a lab environment. Collaborative focus, as well as strong written and verbal communication skills, including computer skills. Technical skills necessary to complete learning opportunities via remote environment if necessary. Able to be onsite at the Fred Hutch South Lake Union Campus. PREFERRED QUALIFICATIONS: Excellent organizational skills, attention to detail, ability to problem solve and eagerness to learn. Works well collaborating with others. Ability to balance multiple priorities. Candidates must include a cover letter as part of their application to be considered. The hourly pay range for this position is from $21.30 to $30.13 and pay offered will be based on experience and qualifications. This role will have the opportunity to work onsite at our South Lake Union campus. This position is not eligible for H-1B sponsorship at this time. Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at ******************* or by calling ************.

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for two weeks during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity This Dedicated Support Research Analyst position is a high impact, challenging role that requires a diverse set of skills. It provides unique opportunities for growth using an unprecedented amount of high-quality real-word Electronic Health Record (EHR) data. You will be solving consequential problems in healthcare using an EHR database of 120 million patients (and growing!) and make an impact on patient care. This position will report to our Director of Research Enablement and Development on the Partner Research and Success team. As a Dedicated Support Research Analyst, you will work in a strategic partnership with some of our largest life science customers! The dedicated support analyst is either 100% dedicated to a single account, or 50% dedicated to two accounts, giving you the time and space to really dive deep into some of the most challenging research questions regarding human health. Responsibilities * Meet with customers to understand needs for technical analyses and for technical enablement. This includes setting up weekly meetings to meet with end users and account leaders to assess how they can get the most value out of their Truveta EHR data subscription. You will scope out solutions and analyses based on these needs and work with the director to set timelines and manage expectations of the client. * Work with manager and success team members to develop and pursue an overall strategy for your dedicated support accounts. * Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline. * Collaborate with life sciences customers on analyses, helping them produce peer-reviewed publications. * Communicate on the status of various projects and collaborate with success managers to ensure that Truveta clients can be successful with the platform. * Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting customer analysis. * Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions. * Write regex queries using Databricks SQL to extract clinical concepts from clinical notes per customer request. * Create enablement materials as the Truveta platform evolves to help onboard new researchers to our increasing capabilities. * Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers. * Deliver feedback to internal teams based on customer requests to inform Truveta's product roadmap. Required Skills * Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field. * Experience is working with large database consisting of millions of patients' data. * 3+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQ, R and Python. * Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. * 2+ year's experience working with customers to deliver high quality research analyses. * Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don't already have experience with them. * Statistics * Regression * Propensity Score Matching * Survival Analyses & Kaplan-Meier curves * Spark/PySpark experience * Consulting experience Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: * Interesting and meaningful work for every career stage * Great benefits package * Comprehensive benefits with strong medical, dental and vision insurance plans * 401K plan * Professional development & training opportunities for continuous learning * Work/life autonomy via flexible work hours and flexible paid time off * Generous parental leave * Regular team activities (virtual and in-person) * The base pay for this position is $94,000 to $145,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology 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 strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

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.

Company DescriptionJobs for Humanity is collaborating with Upwardly Global and with Tiktok to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name: Tiktok Job Description Product Manager, TikTok Search Ads Location: Seattle Position Type: Regular Department: Product Category: Commercial product (ads) Job ID: A254746 Responsibilities: TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo. Why Join Us: Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact for ourselves, our company, and the communities we serve. Join us! The Search Ads team sits within the Global Monetization Product and Technology (GMPT) organization servicing TikTok For Business. We're looking for an experienced Product Manager to solve brand new problems and find innovative product solutions for TikTok Search Monetization. TikTok search is growing rapidly and becoming the preferred search engine for Gen Z and beyond, by providing interesting and useful video search results and engaging ways to discover new products. TikTok is becoming the search engine of the future, revolutionizing how we discover and engage with content. Join the search ads team to shape the future of search and commerce. Responsibilities: - Lead product development for Tiktok & TikTok Shop search ad demand side (web ads/app ads/lead ads/TikTok shop ads) - Deeply understand the advertiser needs, analyze the market and competitors, design products to provide better customer ROI and satisfaction. - Deeply understand the auction ads system and iterate strategies to improve system efficiency - Work globally and cross-functionally with engineers, data analysts, product marketing managers, and other cross-functional partners for successful product development and go-to-market efforts - Constantly evolve processes and resources to improve the delivery speed and quality - Develop a deep understanding of the global advertising market and the needs of search advertisers - Be responsible for the ultimate business goal Qualifications: - BA/BS degree in Computer Science or related technical field (e.g. Mathematics, Statistics) or equivalent practical experience - 3+ years experience in online advertising or search engines in a product management function - Deep understanding of and experience in digital advertising - Highly analytical data ninja and laser-focused on the needs of the user. Able to define product roadmap despite ambiguity and uncertainty. - Excellent communication, organizational, and analytical skills, and experience in a cross-functional and global XFN collaboration. Preferred Qualifications: - Experience in search advertising, web search, or commerce search - Fluency or proficiency in Mandarin, for product launches and communication with external stakeholders TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [email protected]. Job Information：[For Pay Transparency] Compensation Description (annually): The base salary range for this position in the selected city is $141,000-$296,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: - We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match. - Dental, Vision, Short/Long-term Disability, Basic Life, Voluntary Life, and AD&D insurance plans. - Flexible Spending Account (FSA) Options like Health Care, Limited Purpose, and Dependent Care. - 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year. - 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. - Mental and emotional health benefits through our EAP and Lyra. - 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) Candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; 3. Exercising sound judgment.

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs. You will love this job if: You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems You enjoy working at the very cutting edge of R&D You want to experience an early stage startup What you'll be responsible for: Researching and proposing solutions to the different science problems in an evolving environment Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs Working with the engineering team who will be responsible for integrating and deploying your work in production Conducting regular internal science reviews What we look for in a candidate: Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Strong problem-solving and time management skills Strong communication skills and capacity to report and disseminate results Passion for scientific and technical excellence Perks: Competitive pay Healthy snacks stipend Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Learn more at **************** We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research, specialising in cutting -edge advancements in Large Language Models (LLMs) and generative AI. They offer a dynamic, collaborative environment where visionary researchers drive transformative projects with real -world impact. What You'll Do As an AI Researcher, you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine -tuning methodologies. Design and implement advanced data preparation workflows, including data cleaning, augmentation, and synthetic data generation. Develop scalable training pipelines for LLMs using distributed computing and state -of -the -art optimization algorithms. Explore multi -modal AI systems, integrating LLMs with other data types such as vision and audio. Publish high -impact research in top -tier journals and conferences like IEEE, enhancing the field of AI. Mentor junior researchers, sharing best practices to inspire impactful AI innovations. Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within the team. RequirementsRequired Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI. Demonstrated expertise in training and fine -tuning large -scale language models (e.g., GPT, BERT, T5). Strong publication record in IEEE or equivalent journals/conferences related to LLM training, data preparation, or synthetic data generation. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Hands -on experience in large -scale data processing and distributed training techniques. Preferred Qualifications: Experience with RAG and multi -modal AI systems. Expertise in domain -specific LLM fine -tuning and data augmentation. Familiarity with synthetic data generation tools and platforms like Apache Spark or Dask. Proven leadership and mentoring abilities in a research settings. BenefitsWhat Our Client Offers Competitive Salary: Reflective of your expertise and experience. Cutting -Edge Infrastructure: Access to state -of -the -art computational resources for large -scale AI model training. Professional Growth: Opportunities to publish in prestigious venues and collaborate with leading AI experts. Real -World Impact: Be a part of transformative AI projects shaping industries. Comprehensive Benefits: Robust health coverage, retirement plans, and more. Why Join Our Client? By joining, you will: Lead groundbreaking research in the field of LLMs and generative AI. Collaborate with a team of industry -leading AI researchers. Drive innovation in a supportive and dynamic environment. Contribute to projects with significant societal and industrial implications. Next Steps Ready to revolutionize the future of AI? Apply today! Applications will be reviewed on a rolling basis. Location This position is based in Redmond. Equal Opportunity We value diversity and are committed to creating an inclusive environment for all employees.