Research scientist jobs in Washington

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: ****************************************

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Our team, part of Apple Services Engineering, is looking for an Applied Scientist to lead the design and continuous development of automated benchmarking methodologies for AI-powered code assistant tools. In this role, you will investigate how coding-focused LLM agents behave, create rigorous evaluation frameworks, and establish scientific standards for assessing their quality and reliability. This role is crafted to enable the development of scalable evaluation frameworks that ensure our engineers have the right tools to create products that surprise and delight our customers. The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks. Publications in ML evaluation or related fields. Experience with automated testing frameworks. Experience constructing human-in-the-loop or multi-turn evaluation setups. Prior work on agentic developer tools. Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience. Strong research background in empirical evaluation, experimental design, or benchmarking. Strong proficiency in Python. Intermediate proficiency in Swift. Deep familiarity with software engineering workflows and developer tools. Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems. Strong analytical and communication skills, including the ability to write clear reports.

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 Institute for Health Metrics and Evaluation (IHME)_** is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a **_Temporary_** **Research Scientist** to join the **Reproductive, Genitourinary and Digestive (RGUD)** disease estimation team. IHME Research Scientists analyze and produce key estimates for their assigned research team, contribute to research design and training, and lead and/or mentor junior staff. We are looking for someone ready to advance in their career in global health research. You will assess all available relevant quantitative data, including individual-level and aggregated data from surveys, vital registration, censuses, cohort studies, registries, administrative records, government reports, and published scientific literature. You will lead the development and execution of analytic strategies, determining which strategies to test and how best to deploy statistical methods and coding techniques necessary for producing estimates, with emphasis on the long-term and intergenerational impacts of sexually transmitted infections (excluding HIV). You will be responsible for presenting results for internal critique, incorporating necessary feedback into updates and running models to formulate high-quality final deliverables. You will also lead the development of manuscripts, reports, presentations, and similar outputs. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent upon project funding. **Responsibilities:** + Exhibit command of the team's research areas, including the methodology and its components. + Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. + Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. + Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results. + Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals. + Lead and co-author scientific publications in peer-reviewed journals. + Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. + May lead and/or mentor junior staff. + Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data. May participate in teaching established trainings. + Contribute to research design. + Other duties as assigned that fall within reasonable scope of research team. **Minimum Requirements:** + Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related 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. **Additional Requirements:** + Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference. + Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings. + Excellent analytic, critical thinking, and quantitative skills. + Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. + Experience devising and executing statistical modeling techniques. + Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code. + Ease in designing, executing, and troubleshooting code in R or Python. + Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings. + Demonstrated ability to contribute to and sustain collaborations with external research teams. + Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work. + Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources. + Ability to work both independently and in collaboration with a team. + A long-term interest in a research scientist position contributing to the overall mission of our research. **Desired Qualifications:** + MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred. + Experience with machine learning, data mining, and analytic techniques. + Experience mentoring and developing junior employees on soft and technical skills. + Experience with project management methods. + Peer-reviewed publication record. **Conditions of Employment:** + Weekend and evening work sometimes required. + This position is open to anyone authorized to work in the US. + Working internationally is only allowed for IHME sponsored work that requires in -country participation. + Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. **_A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION._** Please in your cover letter: **Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email.** **If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email.** **Compensation, Benefits and Position Details** **Pay Range Minimum:** $105,816.00 annual **Pay Range Maximum:** $128,316.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** SEIU Local 925 - IHME **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.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You'll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools-enabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments. Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing-enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact. Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation). Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats) Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc) Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

About the Role We're looking for an experienced Senior / Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 7+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $197,000-271,700 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Job Description SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process Analyze, interpret, document, and present data to the scientific and leadership team Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR zwtspfch CM

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: * Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach * Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms * Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process * Analyze, interpret, document, and present data to the scientific and leadership team * Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: * PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field * 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required * Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) * Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) * Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities As Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You'll work on diverse projects that enhance Prime Video's recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: • Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges. • Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization. • Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability. • Actively participate in publishing your research in leading conferences and journals. • You will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership • Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives. About the team At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it's developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You'll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged. - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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 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.

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! About the Role The impact you'll be contributing to Moloco: The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system. Here's what you'll be working on: Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects. Complete task as part of larger projects to complete deep unbiased analyses. Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers. Basic Qualifications: Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems At least 4 years of engineering or applied science experience Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range:$140,400-$180,400 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

R&D Partners is seeking to hire an Associate Research Scientist in Seattle, WA. Your main responsibilities as an Associate Research Scientist: Assist in developments of fit-for-purpose potency and/or biological characterization assays for both early- or late-stage programs. Works under minimal supervision for routine activities, such as experimental execution based on established protocols, data review and analysis. Organize findings for effective and timely communication of data, draw appropriate conclusions and design next steps. Maintain notebooks with detailed and timely documentation of protocols, study designs and results. Responsible for setting up in vitro functional assays to measure T cell function. What we are looking for in an Associate Research Scientist: B.S. in biological science, immunology or related discipline with at least 2 years of relevant work experience or M.S. with minimum of 1 year of relevant work experience in T cell biology Direct cell culture experience is required. Technical experience with cell-based assay development is preferred. Knowledge of cGxP requirements preferred. Works predominantly within established procedures but is capable of recognizing potential problems and recommend/develop appropriate solutions.. Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: Medical insurance PPO, HMO & HSA Dental & Vision insurance 401k plan Employee Assistance Program Long-term disability Weekly payroll Expense reimbursement Online timecard approval Pay Scale: $56,343 $70,442 ( Dependent on Experience) R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted therapies designed to improve outcomes for cancer patients. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge targeted cancer therapies, including antibody-drug conjugate therapies (ADCs). Our most advanced pipeline programs are varegacestat (formerly AL102), a gamma secretase inhibitor which is currently in a Phase 3 trial for treatment of desmoid tumors; IM-1021, a ROR1-targeted ADC which is currently in a Phase 1 trial; and IM-3050, a FAP-targeted radioligand, which recently received IND clearance. Our pipeline also includes IM-1617, IM-1335, and IM-1340, all of which are preclinical ADCs pursuing undisclosed targets with expression in multiple solid tumors. Position Overview The Scientist II, DMPK will contribute to the design and execution of nonclinical pharmacokinetics/ADME strategies to support oncology drug candidates from discovery through development. This role will partner closely with cross-functional teams to deliver high-quality data that informs decision-making and regulatory submissions. Reporting to the Executive Director, ADME, the Scientist II will work on multiple modalities, with a strong emphasis on ADC programs. Responsibilities Design and execute stage-appropriate DMPK/ADME studies to support candidate selection, clinical development, and regulatory submissions. Collaborate with cross-functional teams to ensure integration of DMPK considerations into program strategy and timelines. Analyze PK, TK, and PKPD data, perform modeling and simulation, and provide clear interpretation to inform program decisions. Participate in Translational Sciences and Development team activities, contributing scientific expertise in DMPK. Represent the ADME function at internal and external meetings, in collaboration with senior scientists, communicating timelines, data, and implications effectively. Maintain awareness of evolving best practices and regulatory expectations in DMPK sciences. Qualifications PhD in a relevant discipline with 0-2 years of industry experience in DMPK/ADME, or MS with 5+ years relevant industry experience. Experience with ADCs required; additional experience with small molecules, monoclonal antibodies, or other modalities preferred. Hands-on expertise in PK/TK analysis, PKPD modeling, and study design. Knowledge of both non-regulated and regulated bioanalysis. Skills & Competencies Strong problem-solving skills with the ability to manage multiple projects in a fast-paced environment. Excellent communication skills, with the ability to present complex scientific data clearly to diverse audiences. Collaborative approach with the ability to work across disciplines to achieve program goals. Washington State Pay Range $132,274 - $159,338 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).

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

Umoja Biopharma is a game-changing biotech start-up with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington, and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting edge drug development. We are committed to the principles of Diversity Equity and Inclusion and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja as a leader in this front. We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families. Umoja Biopharma - Your Body. Your Hope. Your Cure. POSITION SUMMARY Umoja is seeking a Scientist to join the Discovery Research team. This position will provide scientific technical leadership in delivering both routine IND-enabling studies, and studies exploring novel CAR T product concepts. This position entails initiating, designing, executing, analyzing, and communicating medium-sized projects consisting of several related experiments. A successful candidate will have experience with in vitro CAR-T assays (e.g. cell growth, cytokine production, cytotoxicity, and phenotypic analysis), and high-throughput screening methods that leverage genome editing (e.g. CRISPR). This is a fully onsite role based out of our Seattle, WA location. CORE ACCOUNTABILITIES Specific responsibilities include: Lead by demonstrating high standards for experiment design, execution, documentation, analysis, and communication. Solve moderately complex technical problems pertaining to product, experiment, and assay design. Perform experimental design, execution, data analysis, and reporting of results for IND-enabling studies. Design and implement novel screening campaigns to explore new product functionalities. Execute routine CAR T cell functional assays and assay development (MSD, flow cytometry, Incucyte ) as needed by the department. Author reports with clear and concise figures and messaging. Audit Benchling entries and perform data verification. Collaborate closely with adjacent departments. Proactively communicate activities, issues, and ideas to the team and serve as a subject matter expert on program teams as needed. Identify opportunities for product and assay improvements. Maintain familiarity with current scientific literature, maintain and update knowledge of CAR T biology, vector biology, and immunology. The successful candidate will have: PhD/MS/BS in Biological Science, Immunology or related discipline with at least 0+/8+/10+ years of relevant work experience respectively Expertise with platforms used for T cell analysis including the MSD, Incucyte, dPCR, and Attune/Aurora (or other flow cytometers). Experience with high-throughput screening methodologies. Extensive experience with experimental design, planning, execution, and basic data analysis Strong team communication and collaboration skills, along with self-motivation to contribute to the development of novel cancer immunotherapies Ability to balance multiple priorities in a fast-paced, cross-functional and dynamic environment Preferred Qualifications: Strong analytical capability Excels as both a team member and individual contributor Strong communication and organizational skills Experience with data analysis with JMP, R, and/or python Experience with INTEGRA pipetting equipment Experience working with electronic lab notebooks Experience with regulatory filings Physical Requirements: 100% compliance with personal protective equipment (PPE) requirements in biological laboratory environments for wet lab work, including gloves, protective clothing, and eye safety glasses. Perform physical tasks required for the role, including standing, walking, bending, kneeling, sitting, working your hands in a biosafety cabinet, and occasionally moving materials up to 50 pounds. Project-oriented work in this role will require regular on-site presence (5 days/week) to complete essential job-related functions. Salary Range: $123,250 - $152,250 Benefits Offerings Umoja Biopharma offers its employees competitive Medical, Dental, and Vision plans. Additionally, we offer Umojians access to a 401k plan through Fidelity, with a 100% match up to their first 4% deferral. Umoja also provides a generous Paid Time Off policy, employee commuter benefits, and cell phone stipend. For a full breakdown of our benefits offerings, please see the Benefits section of our website.

Ecologist / Wetland Scientist Full-time exempt Professional Kirkland, Kirkland, WA, US Salary Range: $95,000 To $135,000 (USD) Annually PACE Engineers is a Pacific Northwest engineering firm providing civil and structural engineering, planning, surveying, and construction management services from offices in Washington and Oregon. With 135 employee-owners, we are recognized for our expertise, passion, and commitment to clients and communities. Collaboration is central to our culture, enabling us to leverage the creativity and dedication of our teams across all locations, while maintaining a people-first approach that makes PACE both a strong partner and a vibrant community. We are currently seeking an Ecologist/Wetland Scientist for our growing Environmental team . This role is results-driven and aligned with the organization's strategic goals, requiring initiative, a competitive mindset, and the ability to stay focused during change. It demands quick decision-making, innovation, and a strong sense of urgency. The ideal candidate is confident, self-assured, and capable of inspiring others while maintaining a firm, goal-oriented leadership style. Excellent communication, adaptability, and delegation skills are essential, as is the ability to learn quickly and manage multiple priorities. Ultimately, success in this position is measured by achieving fast, high-quality results through motivation and accountability, rather than rigid adherence to process. WHAT YOU'LL BE DOING Lead and oversee critical area and wetland delineations in accordance with U.S. Army Corps of Engineers (USACE) guidelines and regional supplements. Manage all phases of environmental projects including proposal development, budgeting, fieldwork, regulatory coordination, reporting, and client communication. Prepare and review high-quality technical documents such as wetland delineation reports, critical area reports, jurisdictional determinations, mitigation plans, HPA, and Section 404/401 permit applications. Serve as a primary liaison with federal, state, and local agencies on environmental permitting and compliance matters. Guide the development and implementation of wetland restoration, mitigation, and monitoring plans. Supervise, mentor, and provide technical guidance to junior and mid-level staff. Utilize GIS and data management tools to support project planning and analysis. Ensure all project work meets regulatory requirements, internal standards, and client expectations. Stay current on evolving environmental regulations, guidance, and best practices. QUALIFICATIONS: Bachelor's or Master's degree in Environmental Science, Ecology, Biology, Natural Resources, or a related field. Minimum of 7-10 years of professional experience in wetland science, environmental consulting, or natural resource management. In-depth knowledge of federal and state wetland regulations, including Clean Water Act Section 404/401 permitting. Demonstrated experience managing complex environmental projects and multidisciplinary teams. Proficiency in conducting wetland delineations, functional assessments, and habitat evaluations. Strong technical writing and verbal communication skills; ability to present complex concepts clearly to clients and regulators. Experience completing complex mitigation and bank-use plans. Proficient in GIS mapping, GPS field tools, and environmental data analysis. Valid driver's license and willingness to travel for fieldwork and client meetings. PREFERRED QUALIFICATIONS: Professional Wetland Scientist (PWS) certification or eligibility. Experience in client development, proposal writing, and strategic project planning. Familiarity with NEPA, ESA, and other environmental compliance frameworks. Expertise in wetland mitigation banking, ecosystem restoration, or long-term monitoring programs. Experience in regulatory negotiation and agency coordination. Regional Experience BENEFITS SNAPSHOT Hybrid work model & flexible scheduling 401(k) & ESOP (Employee Stock Ownership Plan) Medical, dental, vision, HSA/FSA Paid time off, holidays, and wellness programs Short & long-term disability, life, and AD&D insurance Culture that supports belonging, equity, and inclusion PACE is an Equal Opportunity Employer and values diversity in the workplace. We encourage all qualified applicants to apply.

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 is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You'll Do * Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. * Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. * Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. * Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields Required Qualifications * Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience. * Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. * Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. * Experience with post-training techniques such as fine-tuning, alignment or distillation. * Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. * Excellent communication skills and a strong great teammate What You'll Bring * Experience on large-scale generative model training * Experience on synthetic data generation * Experience of working with large-scale datasets * Experience of working with product teams on technology transfers #FireflyGenAI 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 $151,800 -- $265,350 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 $183,300 - $265,350 In Washington, the pay range for this position is $165,600 - $239,725 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 There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About Outpace BioOutpace Bio is pioneering the future of cell therapy for solid tumors by harnessing unrivaled AI-powered protein design. Our mission is to program immune cells for enhanced function inside patients, overcoming key barriers such as poor tumor access, weak survival, antigen escape, and dose-related toxicity. By creating and integrating modular, plug-and-play technology assets, we are developing cell therapies with unprecedented efficacy, transforming how engineered T cells interact with cancer and the immune system to deliver life-changing outcomes. Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are reimagining how cells function to unlock novel therapeutic possibilities.Located in Seattle's vibrant biotech hub overlooking scenic South Lake Union, Outpace Bio is led by pioneers in computational protein design and engineered cell therapies. Our culture is built on a foundation of respect and inclusion, which are fundamental to how we collaborate to revolutionize cell therapy through groundbreaking innovation rooted in rigorous science. Our Commitment to DiversityAt Outpace Bio, we believe that the highest performing teams include people from a wide variety of backgrounds and experiences. We are committed to cultivating an open, diverse, and inclusive culture for all employees. Recognizing that the best candidates do not always match all criteria of the job description, we encourage you to apply if you think you would be a good fit for the role and are inspired by our mission to cure disease by pushing the boundaries of biology. Our MomentumIn August 2024, Outpace Bio secured an oversubscribed $144 million Series B financing, led by RA Capital Management and supported by a premier syndicate of life science investors. This funding accelerates our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by Outpace's proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is advancing toward IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment also supports the expansion of our pipeline, enabling us to develop additional transformative therapies leveraging our innovative plug-and-play technology platform. We are seeking a Senior Research Associate or Scientist I to join the viral vector production team at Outpace Bio. In this role, you will apply your scientific training and technical expertise to produce, purify, and characterize lentivirus for our cell and gene therapy applications. Working collaboratively with our Immunology, In vivo, and Cloning teams, you will ensure timely delivery of high-quality viral vectors while contributing to the development of novel viral assays and scale-up process development and improvement. Successful candidates will bring strong technical skills in mammalian cell culture, viral vector systems, viral vector process development, viral downstream purification, and analytical techniques including flow cytometry and molecular quantitation methods. We seek motivated, detail-oriented scientists who can work independently, troubleshoot technical challenges, and optimize protocols to advance our research programs. If you are a collaborative team player with strong problem-solving skills and enthusiasm for translating research into therapeutic impact, you will thrive in our fast-paced startup environment.Responsibilities (Position responsibilities may include, but are not limited to): Produce and characterize lentivirus supporting multiple Outpace research and pipeline programs Design and execute optimization experiments to improve viral titers, purity, and production efficiency Support scale-up of lentiviral production for process development and preclinical in vivo studies Perform and optimize functional titer and genome quantitation assays (flow cytometry, dd PCR/dPCR) Contribute to the development of improved upstream and downstream vector production and purification methodologies Contribute to experiment design, data analysis, and presentation of results in internal meetings Contribute to authoring or reviewing protocols, reports, or regulatory filings. Qualifications (Required): Ability to work independently on experimental design, execution, and troubleshooting Proficiency in mammalian cell culture and aseptic technique Hands-on experience with small-scale lentivirus production (adherent or suspension systems) Working knowledge of chromatography and filtration principles, downstream bioprocessing, and process scale-up Experience operating chromatography systems (AKTA or equivalent) Experience with filtration operations including UF/DF and depth filtration Highly organized with strong attention to detail and data quality Ability to learn new protocols quickly and apply critical thinking to problem-solving Effective scientific communication skills with ability to discuss results and collaborate with team members Experience measuring viral titer by flow cytometry and dd PCR/digital PCR Hands-on experience with transfection and transduction protocols Experience safely handling lentivirus under BSL-2 conditions 3+ years of research experience with mammalian cell culture systems Qualifications (Preferred): Master's or PhD in Virology, Molecular Biology, Immunology, Cell Biology, Gene Therapy, or related field; alternatively, Bachelor's degree with substantial position-relevant research experience in academic or industry setting Lentivirus process development in suspension culture formats (96-well, 24-well, shake flask, and 1-5L bio-reactor scales) Downstream viral vector processing including tangential flow filtration (TFF) and chromatography-based purification Familiarity with molecular biology techniques including nucleic acid isolation, quantification, and PCR-based methods Experience with mammalian cell culture in bioreactor systems Experience in a startup or fast-paced biotech setting Experience with Electronic Lab Notebook (ELN) systems (Benchling) Ability to manage multiple projects, prioritize workflow, meet deadlines, and collaborate effectively in cross-functional teams Familiarity with other viral vector platforms (gamma retrovirus, AAV) This position is a Senior Research Associate or Scientist I level position with a compensation range of $90,000-$105,000 for a Senior Research Associate level and $111,000-$130,000 for a Scientist I level. Actual compensation is dependent upon current market data, experience, and pay parity at Outpace. The salary range is based on Outpace Bio's reasonable estimate of base salary for this role at the time of posting. Actual base salary will be based on a variety of factors including skills, experience, and other related factors permitted by law. Working at Outpace offers an exciting opportunity to contribute to groundbreaking research that has the potential to transform the lives of people around the world. Outpace Bio Total RewardsFull time employees and their eligible dependents may enroll in Outpace's medical, dental, vision, life insurance, disability, flexible spending account, health savings account, commuter benefits, legal benefits, and 401k plan which includes an employer match. In addition, employees may receive stock option grants to be outlined in their offer of employment and a performance bonus. Outpace employees enjoy flexible PTO, paid sick leave which complies with local requirements, and fifteen paid holidays plus a winter shutdown. Outpace also offers a generous paid parental leave policy to all regular full-time employees. Outpace Bio is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. Applicants must be authorized to work in the United States. If you are legally authorized to work in the United States now, or in the future without any form of sponsorship, we encourage you to apply. Outpace Bio does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Outpace Bio or its employees is strictly prohibited unless contacted directly by Outpace Bio's internal team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Outpace Bio and will not owe any referral or other fees.

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

WHO WE ARE We're Talking Rain Beverage Company, we create better-for-you beverages featuring great flavors and colors from natural sources. We live life in full flavor and believe the world should too. We create connections with every sip of our iconic Sparkling Ice, Sparkling Ice Caffeine, Sparkling Ice Energy, Popwell and MIXT. When it comes to success, we know we're only as strong as our team. That's why we're an equal-opportunity employer. We value diversity and practice inclusivity, hiring great people who enhance our company. Our Rain Makers are our most important asset. That's why we invest in them with benefits and development opportunities that reflect just how much we value them. Our Research & Development team is proud of where we've been, but more interested in where we're going. This team drives creativity, growing our portfolio of products. Here, you will apply your sensory expertise to lead consumer sensory testing, guide product development, and translate insights into opportunities for exceptional product experiences. Reports to: Manager, Research & Development Direct Reports: N/A Location: Onsite at our Preston, WA office 5 days a week *While we strive to offer flexibility, this role also requires it. There may be times when you're expected to come onsite outside your typical in-office days to support special projects, team events, or other business needs. Annual Bonus Potential: 7% - Eligibility is based on the company hitting annual financial targets. Base Salary: $70,000 - $95,000 (depending on experience) Note: New hires typically receive between minimum and midpoint, however, we may go slightly higher based on experience, internal equity and market. Design, execute, and analyze all internal and external sensory tests to support product development. Independently create standardized reports, develop clear written recommendations, presentations, graphs, and visualizations to communicate insights to guide cross-functional decision-making. Establish, train, and maintain internal sensory panels, ensuring consistency, reliability, and alignment with testing objectives. Deliver training to internal and external teams as needed. Demonstrate strong initiative and prioritization skills, with effective time management, organization, and problem-solving abilities. Maintain an organized internal sensory lab, supporting daily operations, efficiency, and ensuring compliance with food safety and quality standards. Establish cross-functional partnerships to define sensory program objectives, align on deliverables, and support product development goals. Manage relationships with external partners and consultants to support sensory goals. Lead the assessment and implementation of new sensory research methods to enhance capabilities, drive efficiency, and improve business performance. Help identify and screen emerging technologies that enable improved sensory experiences and support innovation. Ensure food safety, quality, and SQF practices are always followed, notifying immediate manager of any food safety and/or quality issues. Complete other responsibilities as assigned. We create connections with every sip. And we've found a lot of value in in-person connections! As a young, fast-growing company, we're still creating and refining the systems that will fuel our future growth. Onsite presence is beyond collaboration, and here is why onsite presence matters: Supports ad hoc and rapid-turn testing - Being onsite allows flexibility to conduct unplanned tests and provide real-time sensory input as new formulations or adjustments arise. Enables immediate cross-functional collaboration - Proximity to R&D, QA, and Operations teams allows for quick alignment and faster iteration on product improvements. Drives innovation through real-time observation - Hands-on evaluation and face-to-face collaboration spark new insights and more agile decision-making during development. WHAT YOU BRING Bachelor's degree in Food Science, Sensory Science, or related field required; Master's degree preferred. Equivalent experience considered. 4+ years of food sensory experience, including applied statistics and testing methodologies. 2+ years in product development preferred, ideally in the beverage industry. Strong organizational, communication and problem-solving skills. Working knowledge of food science principles, sensory methodologies, food manufacturing Ability to work independently, collaborate with stakeholders, manage multiple priorities, and build cross-functional relationships. Please note, this role is safety sensitive. This means that as part of your core responsibilities you will be regularly responsible for your own safety and/or the safety of others (e.g., driving on behalf of the company, working in a warehouse/plant environment). Rain Makers are people who are accountable, curious, and inclusive. We hold ourselves accountable and recognize room for growth while openly accepting feedback. We embrace change to deliver progressive results. Rain Makers don't wait for answers - we go find them. Curiosity is part of what makes us so successful. Sometimes we push back, productively challenging the status quo. We promote inclusivity . Valuing communication and respect, ensuring everyone has a seat at the table. We are an approachable bunch, building and fostering relationships with people of all backgrounds. WHAT WE OFFER Nothing makes a great job even better than throwing in a few perks, and we want to equip our Rain Makers with everything they need to maintain their health and well-being. That means things like... Three Weeks of Vacation. And that's just to start! Spend some time with us, and you'll accrue an additional week every few years, depending on your exempt status! FMLA qualifying Rain Makers receive six weeks of paid parental leave. Parents get to spend time at home bonding with their new addition (whether it arrives by birth, fostering, or adoption). For birth mothers, additional time is provided for medical leave. Depending on the state in which you reside, additional time may also be available for parents who do not require medical leave. Flexibility Stipend. For eligible Rain Makers, spend this extra monthly stipend as you wish, but know it's intended to contribute to things like your phone, internet or other business uses while working remotely or needs outside of normal working hours. Relocation: Relocation Available (when available) Onsite and Hybrid Employees: Get paid to carpool! Drive to work with another Rain Maker every week at least 2X a week and receive $0.25 per mile. 401k with Immediate Vesting. With matched contributions and investment customization, we'll help build a plan to reach your goals. Fitness Reimbursements. We're all about going the extra mile, so we provide reimbursements for community events and competitions like fun runs, triathlons, and cycling tours. Employees may also enjoy access to our on-site gym in Preston complete with a personal trainer 2 days per week. Medical/Dental/Vision. Not only do we offer it, but our plans are excellent and flexible to your needs. And one is even free for our Rain Makers! Vehicle Program - Field Sales Specialist - Mileage is reimbursed at the IRS rate Field Sales Managers and Market Managers - Company car or vehicle stipend included! Regional Sales Managers and Sales Directors - We use the leader in vehicle reimbursement solutions, Motus. This program provides a monthly fixed and variable rate that adheres to IRS guidelines for the business use of personal vehicles. Please note, eligibility for our full benefits package is based on an average of 30+ hours per week in regular (not temporary) positions. Want to get to know us better? Click to learn about us and our careers. You can also follow us on LinkedIn, Glassdoor, Instagram, and Facebook.