Research scientist jobs in Spanaway, WA - 920 jobs

A leading travel technology company in Seattle is seeking a Senior Machine Learning Scientist to lead AI projects in search and recommendations. You will enhance systems, design agentic AI tools, and collaborate across teams to drive successful implementations. The ideal candidate has over 6 years of experience in AI engineering, proven leadership in projects, and expertise in Python and AI libraries. A strong focus on innovation in a vibrant team is essential. Competitive salary range of $173,000 to $242,500 annually, depending on experience. #J-18808-Ljbffr

A leading technology company is seeking a Senior Research Scientist for System Software and I/O Architecture in Seattle. The role involves developing and analyzing scalable multi-GPU platforms, contributing to innovative software solutions, and collaborating across diverse teams. Candidates should possess a Ph.D. and over 5 years of relevant research experience in computer architecture. This exciting opportunity offers competitive compensation and the chance to impact future technologies. #J-18808-Ljbffr

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A leading technology firm based in Seattle is seeking a Senior Research Scientist focused on computer vision and machine learning. In this role, you will lead research efforts to develop cutting-edge AI solutions, collaborate with cross-functional teams, and contribute to academic publications. The ideal candidate has a PhD and experience in the ML lifecycle. This position offers a competitive salary and a hybrid work environment. #J-18808-Ljbffr

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

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. 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 therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview As a Research Associate III at Immunome, Inc., you will be a key contributor to our research and development initiatives, driving the optimization and delivery of antibody-drug conjugates (ADCs). In this role, you will design, produce, and characterize ADCs in support of program-specific objectives, while collaborating closely with cross-functional partners. Your expertise in bioconjugation will provide critical insights that help advance our therapeutic pipeline and strengthen our scientific capabilities. Responsibilities Research Design and Execution Generate high quality ADCs to enable advancement of named programs. Evaluate innovative bioconjugation and linker technologies. Assess developability of discovery stage ADCs. Work collaboratively with cross-functional teams to plan experiments aimed at advancing drug development projects. Independently perform laboratory experiments in accordance with established protocols, maintaining the highest standards of scientific rigor, documentation, and data integrity. Continuously optimize laboratory processes to improve workflow efficiency, reproducibility, and throughput. Manage ADC inventory and coordinate delivery of samples to cross-functional partners. Data Analysis and Interpretation: Characterize biophysical properties of ADCs using various techniques, such as analytical SEC, HIC, PLRP, and LC-MS. Interpret results and draw meaningful conclusions to guide decision-making. Project Collaboration Collaborate with colleagues from diverse scientific disciplines to achieve project goals. Participate in project team meetings, providing expertise and insights to drive projects forward. Continuous Learning and Development Stay informed about the latest bioconjugation advancements in the ADC field. Proactively seek opportunities for professional development and contribute to the scientific growth of the research team. Qualifications BS or MS in Biochemistry, Chemistry, or related field. Minimum of 5 years of experience (or 3 years of experience for MS) in preclinical drug development in the biotechnology or pharmaceutical industry. Proficiency in bioconjugation techniques and demonstrated experience in ADC pre-clinical development is a requirement. Knowledge and Skills Proficient in analytical techniques and purification methods relevant to biologics and ADC development (SEC, HIC, PLRP, and LC-MS, etc). Experience in antibody engineering and protein modification is a plus. Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams and communicate scientific concepts to non-scientific stakeholders. Proven ability to adapt to changing priorities and work in a fast-paced, dynamic environment. Experience with Agilent OpenLab and Benchling is a plus. Please note, the internal title for this role is Research Scientist II, Bioconjugation Chemistry Washington State Pay Range$96,044-$107,008 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).

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

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.

At Adaptive, we're Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you'll have the opportunity to make a difference in people's lives. With Adaptive, you'll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It's time for your next chapter. Discover your story with Adaptive. Position Overview Adaptive is seeking an exceptional Research Associate I to join a new subsidiary spinout, Digital Biotechnologies Inc. The Scientist will play a critical role in helping to develop a “Next” Next Generation Sequencing (NGS) instrument specifically designed for clinical medicine. Present methods for high-throughput sequencing are not suitable for many clinical applications, as all current NGS platforms lack the combination of high accuracy, rapid turnaround time, and low cost that would lead to robust clinical utility. In collaboration with academic and industry scientists across the country, Digital Biotechnologies is engineering the first solid-state sequencer with the specifications necessary for a widely applicable clinical sequencing instrument. In this role, the Research Associate I, performs assigned experiments or other related work under close supervision, which leverage Digital's novel intellectual property to realize the company's strategic objectives in fundamental science, health care and business development. Key Responsibilities and Essential Functions Synthesis and characterization of inorganic and organic nanomaterials. Routine microscopy (e.g., atomic force microscopy (AFM), transmission electron microscopy (TEM), optical microscopy) and image analysis. Prepare samples following a provided experimental plan. Conduct experiments or other related work based on provided protocols. With guidance, collates and interprets data and synthesizes results into a conclusion. Ability to execute experiments efficiently in a wet lab and suggest process improvements. Recognize patterns or inconsistencies when assessing results and share with supervisor. Position Requirements (Education, Experience, Other) Required Bachelor's degree in chemistry, materials science, nanotechnology, engineering (biomedical, chemical, material), physics, or other related field. Applicants should have 1+ years experience working in a laboratory. Ability to work closely and collaboratively with a team of other researchers. Preferred Experience in nanoparticle, nanomaterials, and/or chemical synthesis. Experience in electron and/or scanning probe microscopy. Experience working with DNA and related molecular biology techniques (e.g., purification, quantification, NGS). Working Conditions Job requires working in a lab and may require handling hazardous chemicals, biological material including blood, bone marrow, and tissue. Work occasionally requires flexible and/or extended hours. Physical Requirements Staff may have to periodically spend extended periods of time standing/sitting within the lab while executing repetitive work, which also includes: Lift Lift >20 pounds occasionally Lift/move large freezers and fridges with the assistance of dollies and carts Occasionally spend Constant work in labs, following all guidelines and protective measures. Compensation Hourly Rate: $26.88 - $40.33 Possible “other compensation” elements to include: equity grant ALERT: Malicious groups posing as Adaptive employees have recently used fraudulent email aliases to extend employment offers, provide fake documents, and request sensitive personal and financial information. Legitimate Adaptive employment opportunities are initiated through our careers page and extended after multiple interviews with verified employees. Adaptive does not ask new hires to purchase anything out-of-pocket, including home office supplies and equipment. Interested in this position, but don't meet all the requirements? Adaptive is committed to building diverse, equitable, and inclusive teams across our organization. Please consider applying even if your experience doesn't match all the qualifications; you may be the exact candidate we're searching for! Adaptive is not currently sponsoring candidates requiring work authorization support for this position. Adaptive's posted compensation information includes a base salary (or hourly rate) range and summary of other available total compensation. The base salary range represents a minimum-to-maximum salary (or hourly rate) available to candidates upon extension of offer. Base salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate's ability to meet minimum qualifications (skills/experience/education), a candidate's ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Listed base salary is exclusive of bonus, commission, equity, differential pay, benefits, and other incentives. Adaptive's benefits at-a-glance. Adaptive Biotechnologies is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Please refer the “Know Your Rights: Workplace Discrimination is Illegal” Poster for more information. If you'd like to view a copy of the company's affirmative action plan or policy statement, please email **********************. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail accommodations@adaptivebiotech.com. This email is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. NOTE TO EMPLOYMENT AGENCIES: Adaptive Biotechnologies values our relationships with our Recruitment Partners and will only accept resumes from those partners who have active agreements with Adaptive. Adaptive Biotechnologies is not responsible for any fees related to resumes that are unsolicited or are received by any employee of Adaptive Biotechnologies who is not a member of the Human Resources team.

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.

The discovery immunology research team is seeking a highly motivated Principal Research Associate. This is a laboratory-based role where the successful candidate will contribute directly to research efforts by designing, executing, and analyzing experiments related to immune mechanisms, target validation, and therapeutic development. The position requires strong attention to detail and ability to multitask while working in a highly collaborative environment. Key Duties and Responsibilities: Isolate, culture, and manipulate primary human immune cells and cell lines. Design and execute experiments to interrogate immune cell phenotype and function, including cell-based multicolor flow cytometry and Incucyte assays. Troubleshoot experiments and optimize protocols. Collect, analyze, and interpret experimental data while maintaining accurate and detailed laboratory records. Collaborate with scientists across discovery teams to achieve project goals. Prepare data for internal reports and presentations for internal meetings. Perform other duties as needed. Knowledge and Skills: Hands-on tissue culture experience, including the isolation and maintenance of primary human immune cells and human cell lines. Experience with nucleic acid techniques to quantify gene expression such as PCR, qPCR, and RNA sequencing. Experience with a variety of cell-based immunology assays to interrogate immune cell phenotype and function including multicolor flow cytometry and Incucyte assays. Experience measuring soluble analytes such as by ELISA, Luminex, or MSD. Critical thinking and self-reliance to solve tasks independently or ask questions. Strong organizational skills and attention to detail. Willingness and ability to work in a highly collaborative environment. Foundational knowledge of immunology and an eagerness to learn new techniques and skills. Strong analytical skills and proficiency in the following software packages: Microsoft Office, GraphPad Prism, FlowJo and Methodical Mind Analysis Software. Education and Experience: Master's degree (or equivalent degree) in biological sciences and 2+ years of relevant employment experience, or Bachelor's Degree (or equivalent degree) in biological sciences and 5+ years of relevant employment experience Pay Range: $92,900 - $139,300 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: On-Site Designated Flex Eligibility Status: In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Onsite Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. About the team Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $150,400/year in our lowest geographic market up to $260,000/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.

A leading travel technology company in Seattle seeks a Senior Machine Learning Scientist to develop innovative ML solutions to safeguard financial security. This role involves leading end-to-end ML projects, collaborating with various teams, and mentoring junior staff. Candidates should have a Master's or Ph.D. in a relevant field and 5+ years of experience in production environments. A strong command of Python and familiarity with cutting-edge technologies are essential. The position offers competitive pay ranging from $173,000 to $242,500, with benefits designed to support employee well-being. #J-18808-Ljbffr

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Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. 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 therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview As a Research Associate III at Immunome, Inc., you will be a key contributor to our research and development initiatives, driving the optimization and delivery of antibody-drug conjugates (ADCs). In this role, you will design, produce, and characterize ADCs in support of program-specific objectives, while collaborating closely with cross-functional partners. Your expertise in bioconjugation will provide critical insights that help advance our therapeutic pipeline and strengthen our scientific capabilities. Responsibilities Research Design and Execution * Generate high quality ADCs to enable advancement of named programs. * Evaluate innovative bioconjugation and linker technologies. * Assess developability of discovery stage ADCs. * Work collaboratively with cross-functional teams to plan experiments aimed at advancing drug development projects. * Independently perform laboratory experiments in accordance with established protocols, maintaining the highest standards of scientific rigor, documentation, and data integrity. * Continuously optimize laboratory processes to improve workflow efficiency, reproducibility, and throughput. * Manage ADC inventory and coordinate delivery of samples to cross-functional partners. * Data Analysis and Interpretation: * Characterize biophysical properties of ADCs using various techniques, such as analytical SEC, HIC, PLRP, and LC-MS. * Interpret results and draw meaningful conclusions to guide decision-making. Project Collaboration * Collaborate with colleagues from diverse scientific disciplines to achieve project goals. * Participate in project team meetings, providing expertise and insights to drive projects forward. Continuous Learning and Development * Stay informed about the latest bioconjugation advancements in the ADC field. * Proactively seek opportunities for professional development and contribute to the scientific growth of the research team. Qualifications * BS or MS in Biochemistry, Chemistry, or related field. * Minimum of 5 years of experience (or 3 years of experience for MS) in preclinical drug development in the biotechnology or pharmaceutical industry. * Proficiency in bioconjugation techniques and demonstrated experience in ADC pre-clinical development is a requirement. Knowledge and Skills * Proficient in analytical techniques and purification methods relevant to biologics and ADC development (SEC, HIC, PLRP, and LC-MS, etc). * Experience in antibody engineering and protein modification is a plus. * Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams and communicate scientific concepts to non-scientific stakeholders. * Proven ability to adapt to changing priorities and work in a fast-paced, dynamic environment. * Experience with Agilent OpenLab and Benchling is a plus. Please note, the internal title for this role is Research Scientist II, Bioconjugation Chemistry Washington State Pay Range $96,044 - $107,008 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). Create a Job Alert Interested in building your career at Immunome, Inc.? Get future opportunities sent straight to your email. Create alert

Protein Science Principal Research Associate (Protein Engineering, Protein Production) The Protein Sciences Principal Research Associate provides laboratory support in advancement of Protein Engineering pipeline with conducting cloning workflows and plasmid preparation. They work closely with protein engineers to provide support with yeast transformation, yeast cultures and characterization by flow cytometry. They provide support for mammalian expressions and high-throughput purification and biophysical characterization of proteins as needed. Key Duties & Responsibilities Execute and troubleshoot molecular cloning workflows spanning plasmid assembly to plasmid preparation at mini- and midi- scales Perform small-scale yeast transformations and culturing Support characterization of yeast displayed proteins by flow cytometry Support large-scale yeast transformations with DNA libraries Support lab operations and equipment purchasing if needed Perform high-throughput purification of proteins and protein-analytics using UV-Vis Spectroscopy, analytical SEC (UPLC-HPLC through Empower software), endotoxin tests, SDS-PAGE, and western blotting Manage protein inventory in the protein database and Protein Science freezers Provide protein dilutions and protein aliquots to immunology group and pharmacology group as needed Deliver verbal and presentation updates on cloning, expression, purification and analytics to the Protein Science Team. Ensure that a complete and timely record of experiments, constructs, plasmid preps is maintained in both the protein database and electronic lab notebooks Required Education Level Master's Degree (or equivalent degree) in cellular biology, biochemistry, biophysics, or bio/chemical engineering and 3+ years of relevant industry experience, or Bachelor's Degree (or equivalent degree) in cellular biology, biochemistry, biophysics, or bio/chemical engineering and 6 + years of relevant industry experience Required Knowledge/Skills Experience using electronic lab notebooks, cloning software such as snap gene Experience in working in a highly collaborative laboratory which is timeline-driven and result orientated team is a must Experience in mammalian cell culture wok to transiently express and purify recombinant proteins is a must Expertise in molecular biology techniques such as PCR, DNA cloning is a must Pay Range: $88,000 - $132,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: On-Site Designated Flex Eligibility Status: In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Onsite Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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 Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps Stay up-to-date with advancements and the latest modeling techniques in the field Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. Basic Qualifications - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $136,000/year in our lowest geographic market up to $223,400/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.

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. Senior Machine Learning Scientist Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security-we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia's sustained revenue growth possible. In this role, you will: Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals. Drive End‑to‑End ML Projects: Manage the full ML lifecycle-from data exploration and feature engineering to model evaluation, productionization, and monitoring. Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business‑relevant. Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence. Advance ML Capabilities: Evaluate and implement cutting‑edge algorithms and tools to enhance model performance, scalability, and robustness. Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on‑prem, clusters) to support scalable ML workflows. Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies. Communicate with Impact: Present findings and recommendations through clear, data‑driven storytelling and compelling visualizations tailored to diverse audiences. Manage Stakeholders and Projects: Lead cross‑functional initiatives, manage expectations, and ensure timely delivery of high‑impact solutions. Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high‑leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience. 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real‑world problems, with an understanding of their trade‑offs and deployment considerations. ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline‑ready code. Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self‑supervised and reinforcement learning. Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front‑End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives. The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 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. #J-18808-Ljbffr

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