Postdoctoral scholar jobs in Redmond, WA - 496 jobs

Take quick online surveys and earn rewards for sharing your thoughts. Join today - it's free and easy!

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

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us. Launch your career with Boeing, celebrated by WayUp as a Top 100 Internship Program in the US for 2025! We are seeking motivated, enthusiastic, and innovative students to join our 2026 intern program. As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things. Over the course of our 10-12 week internship experience you will have the opportunity to: Work directly with a mentor in your field of study while finding solutions to real world problems Experience our products up close by touring our state-of-the-art manufacturing and research facilities Interact directly with our company leaders to discuss strategy and the future of Boeing Build a lasting professional network through social events and engaging activities Gain the skills and knowledge to become a future leader in the aerospace industry Join our exclusive Graduate Researcher Program (GRP) in Boeing Technology Innovation during the Summer of 2026 and you can build something better for yourself, for our customers and for the world. Boeing Technology Innovation is Boeing's global research and development team creating and implementing innovative technologies that make the impossible possible and enable the future of aerospace. We are engineers, skilled scientists, thinkers, bold innovators and dreamers. What is Graduate Researcher Program? The GRP (Graduate Researcher Program) is a unique 10-12 week internship program designed specifically for students pursuing their PhD. GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products, services and its people. GRP focuses on deeply connecting students to their team and Boeing through work experience across multiple summers with the goal of ultimately offering a full-time position at the conclusion of academic studies if a mutual fit is achieved. How GRP Works: GRP host teams post opportunities aligned with Boeing needs in hopes of matching to top PhD talent. Upon application and selection, successful applicants receive an offer to spend the following summer with the host team. The program aims to provide interns with a valuable opportunity to gain deeper experience at Boeing with their host team, while applying academic skills and expertise to help solve real-world industry challenges and opportunities. In addition to industry work exposure, students will attend GRP programming to further broaden their experience and knowledge of Boeing. GRP programming includes: mentorship in your field of study, weekly Featured Speaker Talks , a week-long in-person GRP Summit , participation in an Innovation Challenge , and other opportunities to interact and build a professional network with other GRP students, Boeing team members, and leadership. Please note: The work you do at Boeing can be related to your area of study, but cannot contribute or be used in your PhD thesis. Who we are looking for: We are seeking students who will have completed their first year of study in their PhD program by July 2026 and are passionate about the aerospace industry and Boeing. GRP students excel at quickly adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments and possess excellent communication skills. Above all, they are driven to contribute to the success of their team, fellow GRP students, and Boeing. 2026 GRP Position: This GRP position will be hosted in Boeing Commercial Airplanes (BCA) in the Flight Sciences division. Flight Engineering is at the very heart of product-level design, integration and support. We work at every phase of the product lifecycle, from initial concept to fleet support. We define requirements, do detailed design, analyze configurations, integrate across many disciplines, certify the product and provide fleet support. We are the experts who apply skills ranging from computational fluid dynamics to flight and wind tunnel testing to weight forecasting and performance assessments to aeroservoelastics and vibroacoustics and to sales support. Do you have an appetite for innovating and defining the future of flight? Are you curious and have excellent interpersonal skills? Are you comfortable in a dynamic environment and enjoy life-long learning? Join us in Flight Engineering! Support development of CFD solver code development. Focus on Finite Element solver development, meshing, and supporting engineers using the applications. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skill/Experience): Completed the first year of PhD studies by July 2026. Pursing a PhD in Aeronautical/Aerospace Engineering, Computer Engineering/Science, or Math Experience with Aero CFD modeling equations, discretization, and implementation of algorithms Experience with in numerical programming with parallelization and CPU/GPU coding knowledge Ability to write low level algorithms in C++ and interfaces with Python Enrolled student attending a college or university with an expected graduation date on or after August 2026 Ability to work full-time for 10-12 weeks during Summer 2026 Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Shift: This role is primarily first shift; however, there may be additional shift requirements to support program objectives. Relocation: This position offers relocation based on candidate eligibility. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $89,000 Applications for this position will be accepted until Jan. 30, 2026 Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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

Team Introduction Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. In today's content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We're actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities * Develop and deploy ML models to power personalized e-commerce recommendations * Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions * Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV * Focused on scaling, robustness, and production-quality deployment Minimum Qualifications: * Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. * Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch * Demonstrated ability to conduct rigorous research and analyze large-scale data * Strong problem-solving skills and a high sense of ownership Preferred Qualifications: * Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys) * Experience with recommendation systems, retrieval models, or multi-modal learning * Familiarity with building and deploying real-time, scalable ML systems in production * Background in e-commerce or related applied AI research domains By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

Business UnitWhat 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-BellevueThe 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 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence **Required Skills:** Postdoctoral Researcher Responsibilities: 1. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 2. Work with a large team 3. Help identify long-term ambitious research goals as well as intermediate milestones 4. Prioritize research that can be applied to Meta's product development 5. Mentor other team members. Play a significant role in healthy cross-functional collaboration **Minimum Qualifications:** Minimum Qualifications: 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta 8. Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas 9. Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research 10. Experience solving analytical problems using analytic and quantitative approaches 11. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar) 13. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment 14. Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward 15. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions **Public Compensation:** $122,000/year to $181,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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 **************.

The Marine Population Genomics Lab at the School of Aquatic and Fishery Sciences (SAFS) invites applications for a full time Postdoctoral Scholar (PDRA) to develop genomic tools and protocols for large scale genetic mark recapture (GMR) programs in Atlantic Bluefin Tuna (Thunnus thynnus) in the northwestern Atlantic. The project is a collaboration among Lorenz Hauser, Ray Hilborn (SAFS) and Steve and Chris Weiner of the The Bluefin Collaborative, a group of commercial, charter, and recreational tuna fishermen and other stakeholders interested in combining innovative science and hands-on fishing experience to improve tuna management. Specifically, the successful candidate will re-sequence tuna genomes to improve estimates of stock structure, reduce the proportion of individuals that cannot be assigned to population, and develop a multiallelic marker panel for routine application in GMR. The project spans population genomics, fisheries ecology and management, as well as fundamental and applied science, and will receive input from a range of stakeholders (e.g. NOAA, ICCAT, DFO). The PDRA will work within the Marine Ecology Research Lab, a large lab consisting of four faculty, two PDRAs, five PhD students, two Masters' students and a varying number of undergraduates. Depending on interest, there may be opportunities to become involved in other projects or to mentor graduate and undergraduate students. The PDRA will be expected to present results at conferences and in meetings with stakeholders, provide written and oral reports to collaborators, and to publish results in the peer-reviewed literature. This is a full time, 12-month (1-year) position with possibility of reappointment for a second year, dependent on performancer and funding. University of Washington Postdoctoral Scholar appointments are for a temporary, defined period not to exceed five years/60 months, including any previous postdoctoral experience. Applicants who have met all doctoral degree requirements but have not yet had their degrees conferred may apply. Such candidates will be appointed as a Postdoctoral Scholar Conditional for a maximum of 12 months. Once a degree is conferred the position converts to a Postdoctoral Scholar title for the remainder the appointment term. Salary: The base salary range for this position will be $5,705 - 6,662 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. Required Qualifications: PhD or foreign equivalent in Biology, Molecular Genetics, Fisheries Science, Statistics or related disciplines Experience in basic laboratory techniques Thorough knowledge of population genetics/genomics Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications: Interest in collaborating with diverse groups, including bluefin industry organizations, ICCAT, NOAA, and University scientists Proficiency in statistics and data analysis Experience with the application of genomics in fisheries management and/or natural resource management Knowledge/interest in fisheries ecology, including mark recapture experiments.

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

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

1. General - Job Title: Mid -Level Administrative Assistant - Type: Contract - Level: Mid -Level - Location: Onsite or Hybrid (Based on candidate location requirements) - Workplace: Onsite or Hybrid (4 days/week onsite, 1 day remote) - Duration: ASAP to June 30th, 2024, with strong potential for extension. 2. About the job - How would you handle a role that involves managing very busy calendaring? - How do you ensure accurate and timely communication and record -keeping in a fast -paced role? - Do you have experience with managing data effectively using Excel? - Can you handle high profile calendar management while also completing other administrative tasks? - Are you comfortable working independently and as part of a team? Do such questions intrigue you? 3. Summary of the opportunity - Client Overview: We are hiring for a technology company known for its innovation and industry -leading products. - Role Summary: As a Mid -Level Administrative Assistant, your primary objective will be to manage busy calendars and provide comprehensive administrative support to the team. This role is crucial in ensuring efficient operations and effective communication within the company. 4. What are the key responsibilities? - Responsible for managing email correspondence and performing data entry tasks. - Ensure accurate and timely communication and record -keeping. - Track and organize data using Excel spreadsheets. - Coordinate meetings and events. - Assist with department financial operations, personnel operations, and facility operations. - Manage procurement of goods and services. - Provide general office support. - Complete special projects as assigned. 5. What experience are we looking for to drive success? - MUST -Have Skills and Qualifications: - Minimum 2 years of experience with calendar management. - Proficiency in MS Office, Excel, Outlook, and Teams. - Strong written and verbal communication skills. - Preferred Skills and Qualifications: - Previous Microsoft experience. - Experience with office management and tracking data effectively. 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 calendar management and administrative support 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, have a non -discrimination policy, encourage diverse candidates to apply, 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 ***********************.

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.

Mathematics Expert - $90/hr Remote - Alignerr - Location: RemoteAbout the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.Organization: Alignerr Position: Mathematics Expert (Masters/PhDs) Type: Hourly Contract Compensation: $75-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities (Training support will be provided)- Develop, solve, and review advanced mathematical problems with real-world relevance.- Apply expertise in algebra, calculus, statistics, discrete mathematics, or related areas to design complex problem statements.- Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning.- Ensure mathematical rigor, clarity, and depth across all deliverables.Requirements- Master's or PhD in Mathematics or a related field from a top U.S. university (or equivalent).- Experience coding in Python, MATLAB, or Mathematica for research or projects.- Strong expertise in algebra, calculus, statistics, or discrete mathematics.- Exceptional written and verbal communication skills with strong attention to detail.- Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.Preferred:- Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min)- Submit your resume- Complete a short screening- Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour

About us Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The team We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stack Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc. Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid What we're looking for: Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science. Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models. Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields. Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential. Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products. Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it. Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest). Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence. Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products. $120,000 - $200,000 a year BenefitsMedicalDentalVision 401K Life Insurance Salary Range$120,000 - $200,000 per year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company: At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us. Launch your career with Boeing, celebrated by WayUp as a Top 100 Internship Program in the US for 2025! We are seeking motivated, enthusiastic, and innovative students to join our 2026 intern program. As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things. Over the course of our 10-12 week internship experience you will have the opportunity to: Work directly with a mentor in your field of study while finding solutions to real world problems Experience our products up close by touring our state-of-the-art manufacturing and research facilities Interact directly with our company leaders to discuss strategy and the future of Boeing Build a lasting professional network through social events and engaging activities Gain the skills and knowledge to become a future leader in the aerospace industry Join our exclusive Graduate Researcher Program (GRP) in Boeing Technology Innovation during the Summer of 2026 and you can build something better for yourself, for our customers and for the world. Boeing Technology Innovation is Boeing's global research and development team creating and implementing innovative technologies that make the impossible possible and enable the future of aerospace. We are engineers, skilled scientists, thinkers, bold innovators and dreamers. What is Graduate Researcher Program? The GRP (Graduate Researcher Program) is a unique 10-12 week internship program designed specifically for students pursuing their PhD. GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products, services and its people. GRP focuses on deeply connecting students to their team and Boeing through work experience across multiple summers with the goal of ultimately offering a full-time position at the conclusion of academic studies if a mutual fit is achieved. How GRP Works: GRP host teams post opportunities aligned with Boeing needs in hopes of matching to top PhD talent. Upon application and selection, successful applicants receive an offer to spend the following summer with the host team. The program aims to provide interns with a valuable opportunity to gain deeper experience at Boeing with their host team, while applying academic skills and expertise to help solve real-world industry challenges and opportunities. In addition to industry work exposure, students will attend GRP programming to further broaden their experience and knowledge of Boeing. GRP programming includes: mentorship in your field of study, weekly Featured Speaker Talks , a week-long in-person GRP Summit , participation in an Innovation Challenge , and other opportunities to interact and build a professional network with other GRP students, Boeing team members, and leadership. Please note: The work you do at Boeing can be related to your area of study, but cannot contribute or be used in your PhD thesis. Who we are looking for: We are seeking students who will have completed their first year of study in their PhD program by July 2026 and are passionate about the aerospace industry and Boeing. GRP students excel at quickly adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments and possess excellent communication skills. Above all, they are driven to contribute to the success of their team, fellow GRP students, and Boeing. 2026 GRP Position: This GRP position will be hosted in Boeing Commercial Airplanes (BCA) in the Flight Sciences division. Flight Engineering is at the very heart of product-level design, integration and support. We work at every phase of the product lifecycle, from initial concept to fleet support. We define requirements, do detailed design, analyze configurations, integrate across many disciplines, certify the product and provide fleet support. We are the experts who apply skills ranging from computational fluid dynamics to flight and wind tunnel testing to weight forecasting and performance assessments to aeroservoelastics and vibroacoustics and to sales support. Do you have an appetite for innovating and defining the future of flight? Are you curious and have excellent interpersonal skills? Are you comfortable in a dynamic environment and enjoy life-long learning? Join us in Flight Engineering! Support development of CFD solver code development. Focus on Finite Element solver development, meshing, and supporting engineers using the applications. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skill/Experience): Completed the first year of PhD studies by July 2026. Pursing a PhD in Aeronautical/Aerospace Engineering, Computer Engineering/Science, or Math Experience with Aero CFD modeling equations, discretization, and implementation of algorithms Experience with in numerical programming with parallelization and CPU/GPU coding knowledge Ability to write low level algorithms in C++ and interfaces with Python Enrolled student attending a college or university with an expected graduation date on or after August 2026 Ability to work full-time for 10-12 weeks during Summer 2026 Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Shift: This role is primarily first shift; however, there may be additional shift requirements to support program objectives. Relocation: This position offers relocation based on candidate eligibility. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $89,000 Language Requirements: Not Applicable Education: Not Applicable Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: Safety Sensitive: Security Clearance: This position does not require a Security Clearance. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E - Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

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

IEH Laboratories, a Leader in Food Safety, is now accepting applications for Postdoctoral Research Associate positions at its facility in Seattle, WA. This position will work as part of the R&D team which perform a variety of projects in food science and food microbiology. Ideal candidates will possess the following skill and qualities: - A PhD degree in Food Microbiology, Food Science, or related field (required) - Passion for food microbiology and food science and willingness to do their best to help our clients on their requested projects - Strong written and verbal communication skills - Highly motivated and proactive with strong attention to detail - Strong understanding of aseptic technique in the laboratory The pay range for this position is $78,000 - $80,000 annually (DOE). This is a full-time position eligible for the following benefits after a brief waiting period: medical, dental, vision, life/AD&D insurance, long- and short-term disability insurance, 401(k), health and dependent care FSA plans, employee assistance program, 15 days of paid time off per year for sick leave and/or vacation, 3 days paid bereavement leave, and 6 paid holidays per year. Occasional weekend work, extended hours, and or presence in the lab outside of the normal schedule are sometimes required. This position may require occasional travel assignments depending on project needs. Due to exposure to various food allergens in the laboratory environment, applicants with moderate-to-severe food allergies are discouraged from