Research internship jobs in University Place, WA

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.

Company Alaska Airlines The Team Interns at Alaska Airlines, Hawaiian Airlines & Horizon Air join teams throughout different departments and work on visible projects that impact our guests and business. Beyond hands-on experience, interns also get the opportunity to network with fellow employees and company leaders through various intern events and programming. Our interns also receive unlimited standby travel benefits during their internship, which means that many weekends are filled with jet setting across our growing network. This internship is for summer 2026. Our internships are full-time for 12 weeks, and we offer two program timelines to align with different academic calendars. This internship will be located in SeaTac, WA. If not already in the internship city, candidates will be required to relocate for the duration of the internship. Role Summary Become part of a dynamic environment that offers a hands-on internship experience. We are looking for talented and enthusiastic students to contribute toward key projects that support our business, community and cultural growth. Experience a work environment that thrives on innovation, collaboration and partnership. Key Duties Completes a technical research project on understanding and measuring the revenue impact of diverse strategic business initiatives in a constrained transportation network. Use a state-of-the-art airline revenue management, schedule, and customer behavior simulation to conduct research, leveraging deep knowledge of airline optimization best practices, choice modeling, simulation, and python programming. Conducts comprehensive network calibration for a simulated airline industry environment. Provides analytical support and relevant data to stakeholders for ad hoc analysis. Fosters strong, collaborative working relationships across workgroups. Develops the ability to independently develop structured project plans from ambiguous prompts. Develops strong technical skills by applying object-oriented programming (python), querying tools (SQL), and synthesizing data insights in concise and easy-to-understand presentations. Job-Specific Experience, Education & Skills Required Pursuing a graduate degree in Civil Engineering with a focus in Transportation Engineering Systems. Familiarity with and ability to use the PassengerSim software developed by the ATL@GT consortium. Experience conducting simulation research within the airline industry domain. Experience in consulting in the systems / transportation space. Ability to balance multiple projects and prioritize in a dynamic environment. Effective communication skills (e.g., verbal, written, and listening). Ability to work well with others in a collaborative environment. A passion for the airline industry and willingness to learn. Attention to detail and problem-solving skills are critical for this role. Intermediate skilling working with object-oriented programming (python). Familiarity with Microsoft Office applications (e.g., Word, Excel, PowerPoint, and Outlook). Proven analytical and data skills through completed coursework and/or research. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. evidenced by providing supporting documentation. Preferred Pursuing a PhD degree. Academic focus in the airline space. Intermediate skill working with relational databases (SQL). Job-Specific Leadership Expectations Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Starting Rate USD $35.00/Hr. Total Rewards Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air (flight processing fee may apply depending on the company being hired into and the airline being booked) Travel benefits begin on day one Up to six employee choice travel credits Regulatory Information Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 (“Section 503”) and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 (“VEVRAA”). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. Apply by 7:00 PM Pacific Time on 10/31/2025 FLSA Status Non-Exempt Employment Type Full-Time Regular/Temporary Temporary/OC Requisition Type Intern Location Seattle - Corporate HQ A: Y - T1

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.

Business Unit What the Role Entails 1. Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios. 2. Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership. 3. Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities. Who We Look For 1. Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field. 2. Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred. 3. Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus. 4. Participation in ACM/NOIP competitions is highly desirable. 5. Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 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.

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.

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 PhD Research Intern - Speech AI Centific AI Research Fulltime - 40 hours per week Role Summary 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. Logistics * Location: Redmond(Preferred) or Remote * Duration: $30-$50 per hour 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. Centific AI Research is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment for all employees and interns. 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.

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.

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.

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

Who We Are: At Brooks, we believe movement is the key to feeling more alive. That's why we're driven to create gear and experiences that take people to the place that makes them feel more alive - whether it's a headspace, a feeling, or a finish line. Everyone who works at Brooks is propelled by a company culture that sparks excitement, fuels collaboration, inspires creativity, and ignites innovation. Our brand values help bond us together and drive our success: · Runner First We act in the best interest of the runner · Word is Bond We do what we say we'll do · Champion Heart We give our all in everything we do · There is no “I” in Run We stay generous with our humanity · Keep Moving We find ways to move every day, because joy is kinetic! We welcome everyone from every walk of life looking to inspire others through the power of movement - because we're all moving towards something. Let's run there. We evaluate applications throughout the recruiting season. Whether or not we are able to offer you an interview, you'll hear from us shortly after you submit your application to confirm we've received it, later on in the season with a status update, and at the end of the season. Brooks Internship Program: Brooks Running hosts internships at our Seattle HQ offices to provide hands-on, meaningful work experience to further enhance your education and professional aptitude. Our interns gain exposure to real work and projects while working side by side with Brooks employees and leadership. If chosen for this role, you will embark on 6 months of learning, professional development, and exposure to the Brooks brand and culture. Internship Details: Duration: 6 months Internship Target Start: January 12, 2026Compensation: $32.00/hour Location: Seattle, HQ Schedule: 40 hours / week Please apply if you can commit to the duration, salary, and location for this opportunity. Your Opportunity: The mission of the Run Research Team is to create and leverage novel, scientific concepts and runner-driven product performance insights to create amazing products to help everyone run their path. Our Run Research Team is a seeking a Master's graduate intern to work at our Seattle HQ offices. As a Run Research performance Intern, you will gain hands-on experience in product research at the leading running brand - Brooks Sports, Inc. Your primary responsibilities will be to assist in biomechanical data collection and processing for Run Research that will be used to inform product design, materials, and development. The protocols will include, but are not limited to motion capture, material mechanical propertie, and metabolic testing. This information is critical for our multi-departmental infrastructure, including Development, Design, and Merchandising, to ensure that performance integrity of our product meets the needs of our end consumers. You will also gain knowledge on how the human movement influences design and development of athletic products at Brooks. Your Impact (Responsibilities): Understand athletic product design features and components, and how they influence human movement. Collection and processing of human subject data using Motion Analysis 3D motion capture. Write code to analyze mechanical and biomechanical data in Python and Visual 3D. Perform mechanical testing on plaque materials and shoes (Instron). Write scientific reports using PowerPoint, and Microsoft Word, summarizing human movement and mechanical property findings for Brooks products and competitors that are delivered to product teams for use in product improvement. Use your graduate level research skills to conduct human movement studies that lead to innovative testing procedures and optimization of product for all who run. Use your advanced data analytics skills to mine data in our Tableau historical dashboards containing over 9,000 trials of human motion capture over the last six years to recommend product improvements based on identified opportunities. Develop loyal, engaging relationships with our customers and the Brooks community. Other duties as assigned. Project: As a part of your experience as a graduate intern at Brooks, you will have the opportunity to complete a project under the support and supervision of your manager. Details of your project will be finalized once you arrive at Brooks based on your interests and the needs of the business. You will use your ever-growing analytical skillset as a graduate student to prepare a thoughtful and elevated project. Weave your learnings from your graduate courses into your work to challenge yourself and benefit Brooks. You will present your work and findings to senior leadership at Brooks at the end of your internship, to hone in on your research, recommendation, and presentation skills. Qualifications: Master's degree with a background in biomechanics, kinesiology, and/or exercise science or an equivalent analytical field. Willing to commit to the intern position for six months onsite in Seattle, WA Willingness to learn and gain hands-on experience. Able to commit to up to 40 hours a week to be physically present at HQ. Strong verbal and written communication skills, demonstrating effective listening through concise, clear verbal and written communication. Hands-on experience in a biomechanics lab or a lab that involved data collection on human subjects using 3D motion capture. Hands-on experience with materials testing and familiarity with stress/strain testing protocols. Well-developed quantitative skills with an aptitude for report-building, data mining, and interpretation. Hands-on experience with writing code (MATLAB, Python, etc.) and creating kinematic and kinetic models for human motion capture (Visual 3D). Experience with Microsoft Office, including Word, Excel, and PowerPoint. Strong organizational skills. Detail-oriented with an emphasis on quality work products. Always looking to improve our products and processes while also displaying a willingness to dive into the details and help wherever necessary. Must be able to collaborate in a team-oriented environment. Embrace Brooks values! Benefits: Paid Internship Sign-on bonus to provide financial support before first paycheck Housing Subsidy Travel Fee Coverage Medical/Dental/Vision Coverage 60% Employee Discount Paid Holidays Compensation: $32/hour At Brooks, we celebrate diversity & equity. We are committed to creating an inclusive environment, and encourage people of all backgrounds, perspectives, experiences, and skills to apply. Brooks is proud to be an equal employment opportunity employer. All employment decisions are made without regard to race, religion, creed, color, national origin, age, sex, gender, gender identity or expression, two-spirit identity, sexual orientation, genetic information, the presence of a physical, mental, or sensory disability, marital status, pregnancy (including childbirth and related conditions), caste, citizenship or immigration status, honorably discharged veteran or military status, actual or perceived victims of domestic violence, harassment, sexual assault or stalking, HIV or Hepatitis C infection, political ideology, use of a trained service animal by a person with a disability, or on any other basis protected by federal, state, or local law, or any other non-merit based factors.

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 -- $202,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $139,700 - $202,250 In Washington, the pay range for this position is $127,700 - $185,000 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 **************.

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.

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

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Editorial team, you will spend each day immersed in the private markets, aiming to help our customers be better investors, advisors, and market participants. The work you will do plays a direct role in the evolution of the industry! Everyone on our team is supported by a flexible work environment and a culture that promotes curiosity, collaboration, and professional development. We prioritize recognition and respect across all roles and have a high level of camaraderie. The fast-growing nature of our organization provides ample opportunity to advance in your career and explore what interests you. As we continue investing in the talent of our group, our coverage has evolved rapidly over multiple industries and geographies. Our insights are routinely cited by top-tier publications and sought after by prominent players in the financial markets. In addition to publishing timely market insights, we also partner closely with our Product, Engineering, and Data Operations teams to continually enhance our datasets and develop unique tools that have a material impact on our customers' workflows. There is no better time to join us! PitchBook's Institutional Research Group is looking to hire a Quantitative Research Analyst to join our research team. As a valued team member, you'll hone your existing analytical skills, develop meaningful insights into a fascinating industry, and contribute to our best-in-class private capital research. The research and tools this team produces are utilized by many of the largest and influential private capital investors, asset managers, investment banks, and service providers globally. Our team is creative, analytical, driven, and focused on providing the most actionable research to our readers and clients. Primary Job Responsibilities: Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets Contribute to research and analysis across our core private equity, M&A, venture capital, and emerging technology coverage areas Work closely with other quant research analysts to develop new models and metrics, as well as identify unique data points to support research Serve as data and markets expert for all use cases that utilize PitchBook's broad database Manage and complete select time-sensitive custom research requests for subscribing clients, leveraging the team's models and IP Manage and respond to inquiries from clients, press, internal colleagues, and the general public regarding data requests and published research Support the vision and values of the company through role modeling and encouraging desired behaviors Participate in various company initiatives and projects as requested Skills and Qualifications: Bachelor's in Finance, Business Administration, or Economics preferred with a strong understanding of financial concepts such as valuation techniques (discounted cash flows, comps, etc.), internal rate of returns, asset allocations, etc. 3+ years of experience in financial services role or experience working with large datasets Strong Excel proficiency Experience in SQL a plus Strong skills in SQL, Python, or other programming languages Strong interest in M&A and private financial markets Critical thinker Detail oriented with an analytical mindset Strong written and verbal communication skills Experience in PitchBook Platform a plus Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily Benefits + Compensation at PitchBook: Physical Health Comprehensive health benefits Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Subsidized emergency childcare Dependent Care FSA Company-wide events Employee referral bonus program Quarterly team building events Financial Health 401k match Shared ownership employee stock program Monthly transportation stipend *Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment. Compensation Annual base salary: $130,000-$150,000 Target annual bonus percentage: 10% Working Conditions: At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. Life At PB: We are consistently recognized as a Best Place to Work and our culture is at the heart of our success. It's our fundamental belief that people do and create great things and that people are the cornerstone of prosperity. We believe that proactively seeking out different points of view, listening to others, learning, and reflecting on what we've heard creates a sense of belonging within PitchBook and strengthens the PitchBook community. We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook. #LI-MS1 #LI-Onsite

1. General - Job Title: Computational Chemistry Research Scientist - Type: Contract - Level: Mid-Level - Workplace: 100% onsite - Duration: ASAP to June 30th, 2024, with strong potential for extension 2. About the job - How would you contribute to solving important problems in climate change and sustainable materials using AI-driven scientific research? - How do you plan to collaborate effectively with cross-disciplinary teams in machine learning, computational materials and chemical sciences, and software engineering? - How experienced are you in developing and deploying automated computational workflows for scientific research? - Are you proficient in ab initio quantum chemistry methods and molecular dynamics simulation methods? - Do such questions intrigue you? 3. Summary of the opportunity - Client Overview: We are hiring on behalf of our client, Microsoft Research, a renowned leader committed to driving real-world impact on society's most pressing problems, including climate change, green energy, and sustainable materials. - Role Summary: As a Computational Chemistry Research Scientist, you will be responsible for developing and applying ML-accelerated and generative models to accelerate decarbonization for direct air capture technologies. Your expertise in computational chemistry will contribute to the growth of data centers and sustainability research. 4. What are the key responsibilities? - Collaborate effectively with cross-disciplinary teams across machine learning, computational materials and chemical sciences, and software engineering. - Define a strategy to integrate advanced computational chemistry and structure-based molecular design methods into molecular discovery and optimization. - Develop and deploy robust automated computational workflows, enabling methods to be run without significant manual input. - Maintain the highest standards in code quality and documentation. 5. What experience are we looking for to drive success? - MUST-Have Skills and Qualifications: - PhD or 5+ years of computational experience degree in computational chemistry or related field. - 5+ years of experience executing quantum chemical calculations at scale, with HPC or cloud computing systems, and with Python or similar. - 5+ years of proficiency with molecular dynamics software packages (e.g. LAMMPS, GROMACS). - 5+ years of proficiency with Gaussian-type basis quantum chemistry software (e.g. NWChem, PySCF, ORCA). - 5+ years of proficiency with classical molecular dynamics simulation software (e.g. GROMACS, LAMMPS, ASE). - Preferred Skills and Qualifications: - Knowledge of ML-accelerated and generative models. - Experience in molecular discovery and optimization. 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 computational chemistry and AI-driven scientific research within a dynamic corporate environment. - 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. We encourage applications from diverse candidates 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 ***********************.

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

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 Division of Allergy and Infectious Diseases in the Department of Medicine has an outstanding opportunity for a Bioinformatician / Research Consultant 4.** The Seshadri Lab is focused on studying the ro Ie of unconventional T cell populations in tuberculosis. The lab uses advanced techniques in human immunology and computational biology to characterize immune responses during infection and vaccination with mycobacteria. Their research focuses on the human immune response to _Mycobacterium tuberculosis,_ the bacteria responsible for tuberculosis. By better understanding what factors are responsible for protective immunity, they hope to contribute to ongoing efforts to develop an effective vaccine. **About this Opportunity** The candidate will join a growing team of bioinformaticians providing computational analysis and support at UW Medicine's South Lake Union campus. Reporting to the PI, the candidate will work with the Seshadri Lab group and will facilitate analysis of high-throughput and high-dimensional datasets generated in the context of an immunology laboratory. The lab focuses on understanding the human immune response to infectious pathogens, such as Mycobacterium tuberculosis, which is the leading infectious cause of death worldwide. The position includes ownership of projects, support of other researchers, and collaboration on community code. This is a highly collaborative environment with opportunities to work with and learn from other bioinformaticians and immunologists as well as contribute to additional research groups in the future. The lab has active collaborations within the Computational Biology Program at Fred Hutchinson Cancer Research Center and several external collaborators, and we hope to strengthen these interactions with this hire. This position has a high degree of autonomy and requires personal initiative, discretion, and flexibility to perform complex analytic processes related to data analysis. This employee must possess knowledge and understanding of the complexities of assessment, evaluation, and data as well as a high degree of knowledge of statistical analysis software and scripting languages, including R, Python, and bash scripting. **DUTIES AND RESPONSIBILITIES** **Research (50%)** - Align and process raw sequence data using bash scripting - Analyze high-throughput single-cell RNA sequencing data using existing R packages (e.g. Seurat) - Work directly with bench scientists and researchers to explain and modify databases and routine analytic processes to best serve the needs of evolving projects. - Develop user-friendly interfaces for common analytic tasks using Google Colab or Jupyter Notebooks - Independently create and document efficient, effective and replicable methods for extracting data, writing and applying code as relevant, organizing data sources, managing data quality, and explaining complex analytic processes. - Contribute to experimental design with downstream analyses in mind. Communicate computational methods and results to immunologists and other non-computational researchers. - Collaborate with other bioinformaticians on reproducible workflows, shared methods, and community code projects. **Data management and analytic processes (25%)** - Perform quality assurance and routine diagnostics on data and databases. - Develop, document, and maintain code in task-appropriate language(s) to perform data cleaning, merging, aggregation, manipulation, and formatting of datasets. **Publications, presentations, and data requests (25%)** - Create text, tables, figures, and charts for presentations, grants, and publications. - Provide referencing and other support for presentations, grants, and publications. - Perform power calculations or other statistical tasks as required for presentations, grants, and publications. - Execute queries on datasets to respond to the needs of senior researchers and external requests from collaborators, etc. **MINIMUM REQUIREMENTS** + Master's degree in a Bioinformatics, Computational Biology, or related field and four years of relevant experience. _Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration._ **DESIRED QUALIFICATIONS** - Fluency in R or Python and reproducible documentation with integrated development environments such as R Studio, Jupyter, Spyder, etc. - Experience with version control in Git and GitHub - Interest in global health research - Demonstrated ability to participate productively in interdisciplinary research teams - Strong sense of focus and attention to detail - Self-motivation and flexibility. Strong organization and communication skills - Experience with single-cell RNA sequencing workflows (e.g. Seurat) - Wet-bench experience or basic understanding of molecular biological concepts - Experience with Strata, SQL, or other relevant languages - Familiarity with advanced statistical methods and machine learning - Experience developing new software packages to handle complex analytic tasks **Working Environmental Conditions:** - This is expected to be a fully in-person position - Working at a computer for extended periods of time - M-F regular business hours. Occasional evening or weekend work may be required \#UWDeptMedicineJobs **Compensation, Benefits and Position Details** **Pay Range Minimum:** $88,080.00 annual **Pay Range Maximum:** $153,084.00 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 regular position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** UAW Research **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.