aiml - applied ml engineer, data generation & verification

sr. applied scientist, global hiring science

store designer, worldwide grocery real estate

associate creative director (hybrid - seattle, wa)

aiml - applied ml engineer, data generation & verification Jobs in Seattle

applied scientist (genai/llm), sandstone Jobs in Seattle

applied scientist (genai/llm), sandstone

sr. applied scientist, global hiring science Jobs in Seattle

sr. applied scientist, pricing science Jobs in Seattle

sr. applied scientist, pricing science

applied scientist genai llm sandstone

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<br>
<br>
Key job responsibilities<br>
In this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will:<br>
<ul><li>Research and implement new algorithms and architectures for generative AI applications.</li><li>Optimize model performance and scalability for inference and deployment.</li><li>Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.</li><li>Experiment with SOTA methods to improve generative AI model quality.</li><li>Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>2+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Strong understanding of machine learning, deep learning, and generative AI principles and algorithms.</li><li>Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc.</li><li>Ability to work with large datasets and knowledge of data preprocessing techniques such as Hadoop, Spark etc..</li><li>Familiarity with natural language processing (NLP) and computer vision for generative AI applications.</li><li>Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams.</li><li>Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist (GenAI/LLM), Sandstone

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At AWS Cloud &amp; AI Innovation team, our mission is to accelerate customer adoption of AI and maximize the value they get from this technology.
<br>
<br>
As Applied Scientist on our team, your focus will be on solving the most complex problems that prevent our customers from successfully adoption AI at scale. You will research new methods for overcoming obstacles that are beyond engineering solutions. These include advanced methods for agent grounding and evals, novel methods for multi-agent orchestration and semantic data layer, and innovative approaches to optimizing customer token costs, just to name a few.
<br>
<br>
A successful candidate will have a strong machine learning background, a deep understanding of the AI stack, and a desire to push the envelope in applying AI to the most difficult practical problems preventing adoption at scale and in business-critical situations.<br>
<br>
As a senior member of the team, you will own ambiguous, high-impact research problems end-to-end &mdash; from defining the scientific direction to conducting the research, to packaging it into a reusable solution that the rest of the team can apply in customer-facing engagements.
<br>
<br>
As an Applied Scientist, you will leverage your technical expertise to set the research agenda for how we measure conversational quality, mentor engineers and architects, and partner across science, engineering, and business teams. You will analyze and understand customer experiences and develop novel approaches to solving complex problems in applied AI.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, CAIT

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Here's the job description with causal ML woven in:<br>
<br>
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning modeling and architecture expertise &mdash; particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. Equally important is deep expertise in causal machine learning &mdash; including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) &mdash; to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit.<br>
<br>
We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.<br>
<br>
Key job responsibilities<br>
See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale.<br>
<br>
Build strong collaborations. Partner with product, engineering, and science teams within Pricing &amp; Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures &mdash; including sequence models and transformers &mdash; for large-scale price prediction and optimization.<br>
<br>
Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems.<br>
<br>
Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. Leverage statistical rigor and modern deep learning approaches to validate hypotheses and drive measurable pricing improvements.<br>
<br>
Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise &mdash; including deep neural networks, attention-based models, and applied statistical analysis &mdash; to incrementally move the needle on some of our hardest pricing problems.<br>
<br>
A day in the life<br>
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through:<br>
<br>
<ul><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.</li><li>Error detection and price quality guardrails at scale.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into Stores architectures; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
<br>
About the team<br>
The Pricing Optimization science group builds and refines Amazon's algorithmic pricing and promotion models at scale. Our team combines expertise in deep learning, transformer architectures, applied statistics, and probabilistic forecasting to develop price prediction systems that directly impact the customer experience. The team also brings hands-on experience with causal modeling and inference &mdash; including uplift modeling and treatment effect estimation &mdash; to rigorously measure the impact of pricing decisions on customer behavior and business outcomes. We partner closely with product, engineering, and business teams to take solutions from research through production deployment.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Pricing Science

Starbucks

<div><p><b>Now Brewing &ndash; Lead Data Scientist! #tobeapartner</b><br>
<br>
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.</p><p>
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.</p><p><i>
As a lead data scientist, you will&hellip;</i></p><p><b><br>
Design and Architect the Future Pricing Ecosystem</b></p><ul><li>
Build a scalable, data-driven pricing framework that optimizes revenue.</li><li><p>
Incorporate predictive modeling, and ad hoc analyses into pricing framework.</p><p><b><br>
Drive Pricing and Revenue management data science</b></p></li><li>
Identify pricing and promotion potential through advanced analytics.</li><li>
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.</li><li><p>
Partner with strategy and finance to align pricing tools with business goals.</p><p></p><p><b><br>
Mentor and Develop Talent</b></p></li><li>
Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li>
Foster a culture of innovation and continuous improvement within the analytics team.</li></ul><br>
<p></p>
<p><i>
We&rsquo;d love to hear from people with:</i></p><ul><li>
5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li>
Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li>
Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li>
Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.</li><li>
Experience building in-house production systems in complex and data-rich domains.</li><li><p>
Mentoring experience</p></li></ul><p></p><p><i><br>
Preferred Skills:</i></p><ul><li>
Expertise in building Bayesian elasticity models and causal inference</li><li>
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li>
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li></ul><p></p><div><br>
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<br>
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div><p>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.</p><p>
We believe we do our best work when we're together, which is why we're onsite four days a week.<br>
Join us and inspire with every cup. Apply today!<br>
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.<br>
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.<br>
<br>
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</p></div>

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

University Of Washington

<div><p><b>Job Description
</b></p><p></p><div><div><p><b>Who </b><b>we&rsquo;re </b><b>looking for:
</b></p></div><div><p>The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Medical Laboratory Scientist </b><b>(MLS) </b><b>1 </b>with the <b>Chemistry Laboratory </b>at <b>the University of Washington Medical Center - Montlake </b>.<br>
</p></div><p></p><div><p>As an MLS 1 under general supervision, you will perform and provide high level moderate to high complexity manual and automated clinical diagnostic tests used in the screening, diagnosing, and treating of pathological conditions. You will rotate and maintain competency in all sections where you have been trained. Additionally, you will fo llow safety/biohazard procedures , as well as p ractice &ldquo;Universal Precautions .&rdquo;<br>
</p></div><p></p><div><p><b>W </b><b>ork schedule </b><b>:
</b></p></div><div><div><ul><li><p>0.8 FTE
</p></li></ul></div><div><ul><li><p>Weds - Sat, 07:30 - 16:00
</p></li></ul></div><div><ul><li><p>Day shift<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>contribute:
</b></p></div><div><ul><li><p>R otates and maintains competency in all sections where they have been trained. R efers to the procedure when questions arise.
</p></li></ul></div><div><ul><li><p>U nderstands and operates a variety of laboratory equipment that requires interpretative knowledge ( i.e. blood gas instruments, chemistry analyzers, HPLC, AA Spectrophotometry, GCMS, LCMS, Hematology differentials, Immunoassay analyzers, spectrophotometers, etc.). P erform s basic maintenance and troubleshooting measures.
</p></li></ul></div><div><ul><li><p>E xhibits a working knowledge of laboratory information system software, middleware, and other relevant software. A ccess es and understand s content of WIKI procedures and policies and document review.
</p></li></ul></div><div><ul><li><p>U nderstands quality control requirements, quality assurance requirements, and follows policies to validate test results.
</p></li></ul></div><div><ul><li><p>W orks independently and manages average workloads and will ask for help when falling behind because of heavier than usual workloads. When tasks are completed, h elps others and / or works on small projects.
</p></li></ul></div><div><ul><li><p>K eeps work area clean and organized and returns equipment to appropriate location when finished so others can follow with minimum disruptions.
</p></li></ul></div><div><ul><li><p>K eeps records neat, organized and legible so others can follow with minimum disruptions.
</p></li></ul></div><div><ul><li><p>P erforms work accurately, precisely and recognizes, corrects, and documents errors when they occur.
</p></li></ul></div><div><ul><li><p>I nteracts with health care providers and co-workers in a professional manner and remains calm.
</p></li></ul></div><div><ul><li><p>I n the absence of a MLS Lead or MLS 2 , establishes priorities of work to be done in a section and communicates problems to the following shift.
</p></li></ul></div><div><ul><li><p>M akes decisions based on written policies and require little assistance in prioritizing own workload when new situations arise.
</p></li></ul></div><div><ul><li><p>K nows the defined critical limits for all tests, reports them to appropriate medical staff, and documents the information according to laboratory policy.
</p></li></ul></div><div><ul><li><p>A ssists with evaluation of new tests/equipment and incorporates checkout samples into the routine flow of work.
</p></li></ul></div><div><ul><li><p>P erforms inventory in assigned area, unpacks, labels and puts away supplies rotating stock as needed.
</p></li></ul></div><div><ul><li><p>C ommunicates to MLS Lead/MLS 2 when any item is getting low.
</p></li></ul></div></div><div><div><ul><li><p>C alculates concentrations , prepares, verifies, and documents the making of reagents, controls, and standards. C hecks the new lot of reagent s as needed.
</p></li></ul></div><div><ul><li><p>P rovides training to new employees, medical laboratory scientist students , residents, and post-doctoral fellows in routine procedures/policies.
</p></li></ul></div><div><ul><li><p>Act s as a resource to other resource personnel, including Clinical Laboratory Technicians and Specimen Processing Technicians.
</p></li></ul></div><div><ul><li><p>A ttends DLMP related seminars, in-services, staff meetings and/or reads scientific journals to ensure continuing education.
</p></li></ul></div><div><ul><li><p>R eceptive to new ideas and procedures and adapts to new routines and schedules as necessary.
</p></li></ul></div><div><ul><li><p>P articipates in departmental efforts to keep a safe environment for all staff and reports hazards and any unsafe work practices to the supervisor.
</p></li></ul></div><div><ul><li><p>K nows the location of safety information and SDS manuals and accesses information in response to queries or emergency situations.
</p></li></ul></div><div><ul><li><p>F orms productive working relationships with co-workers.
</p></li></ul></div><div><ul><li><p>A rrives and leaves work at proper times and limits lunch and breaks to the allowed times. S hares responsibility for covering overtime and on-call slots if help is needed.
</p></li></ul></div><div><ul><li><p>U ses sick leave appropriately and its usage is at or below the suggested levels indicated in UWMC/HMC guidelines.
</p></li></ul></div><div><ul><li><p>F ollows all rules regarding preparation and processing of samples for transport and/or testing.
</p></li></ul></div><div><ul><li><p>P rovides bedside testing on a routine or emergency basis throughout the hospital as required .<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>you&rsquo;ll </b><b>need:
</b></p></div><div><ul><li><p>Accredited bachelor&rsquo;s degree in medical laboratory science OR equivalent education/experience AND
</p></li></ul></div><div><ul><li><p>Current Medical Laboratory Scientist certification with the American Society for Clinical Pathology (ASCP) or equivalent certifying organization OR certification with specialty organization appropriate to the laboratory division AND
</p></li></ul></div><div><ul><li><p>One (1) year of experience as a Medical Laboratory Scientist Trainee. Up to one (1) year of on-the-job experience performing clinical testing in a Medical Laboratory Science Program externship may count toward the experience requirement.<br>
</p></li></ul></div><p></p><div><p><b>What </b><b>we </b><b>offer:
</b></p></div><div><ul><li><p>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</p></li></ul></div></div><div><div><ul><li><p>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</p></li></ul></div><div><ul><li><p>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</p></li></ul></div><div><ul><li><p>Excellent healthcare, dental, disability, retirement, and other plan options.
</p></li></ul></div><div><ul><li><p>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</p></li></ul></div><div><ul><li><p>And much more!<br>
</p></li></ul></div><p></p><div><p><b>About </b><b>the Department of Laboratory Medicine &amp; Pathology </b><b>:
</b></p></div><div><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.<br>
</p></div><p></p><div><p>Please visit our website to learn more about our department.<br>
</p></div><p></p><div><p><b>About UW Medicine </b><b>:
</b></p></div><div><p>UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
<br>
<br>
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine.
</p></div></div></div><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$38.46 hourly
<p><b>Pay Range Maximum:
</b></p>$56.73 hourly
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>80.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Healthcare Prof/Lab Tech
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>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.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>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 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>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 .</p></div>

Medical Laboratory Scientist 1, UWMC – Montlake Chemistry

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Amazon Community Impact (ACI) team helps Amazon prioritize and address societal problems where we can make a difference by leveraging the company's unique assets (technology, logistics, expertise). With over 1.5 million Amazonians living and working across 60+ countries, there is unprecedented opportunity to scale collective impact by connecting our greatest asset&mdash;our people&mdash;to community initiatives through volunteering. We view volunteering as a strategic advantage that can amplify each of our community impact priorities: disaster relief, food security, and education.
<br>
<br>
The ACI Volunteering team's vision is to cultivate a culture of volunteering where Amazonians use their time, experience, and skills to shape a better tomorrow for our local communities, planet, and future generations. Through globally relevant products and programs we enable and enhance the volunteering experience for Amazonians.
<br>
<br>
The Executive Volunteering Lead is a senior program manager who owns volunteering strategy and execution for a portfolio of global senior leaders (Directors, Vice Presidents, Senior VPs, C-Suite) and their organizations. This role works backwards from executive and business priorities to create strategic volunteering plans, collaborate with key stakeholders to bring plans to fruition, identify and close gaps in existing volunteering products, and drive execution to deliver measurable community and employee impact.
<br>
<br>
Successful candidates think big and dive deep to build volunteering plans that drive measurable impact. You define an organization&rsquo;s volunteering strategy based on deep customer understanding and are comfortable operating at all levels of the organization, from presenting to S-Team (C-suite) members to working hands-on with Community Ambassadors (volunteer event coordinators). You excel at translating strategic vision into execution, analyzing data, and building scalable mechanisms. You&rsquo;re a force multiplier who deploys AI tools and agents to challenge your thinking, redesign processes, automate workflows, and expand organizational capacity. You collaborate effectively with diverse teams and have the executive presence to influence senior leadership while remaining approachable to frontline volunteers.<br>
<br>
Key job responsibilities<br>
Strategic Planning:
<br>
<ul><li>Own the end-to-end volunteering strategy and vision for assigned senior leader (Director, Vice President, Senior Vice President) organizations, designing high-impact experiences including signature executive engagements, flagship programs, and campaign integration. Work backwards from executive priorities, business rhythms, and organizational goals to define volunteering strategies that inform business and community impact strategy.
</li><li>Write product requirements strategy documents to define new volunteering program and inform products that create meaningful business and community impact.</li><li>Leverage narrative docs to drive cross-organizational alignment.
</li><li>Use data and KPI metrics to inform strategy, prioritize initiatives, make tradeoff decisions, and demonstrate ROI to senior leadership.
</li></ul>Roadmap Execution &amp; Mechanisms:
<br>
<ul><li>Create and maintain multi-year roadmaps that align executive engagement, volunteer experiences, and ACI priorities.</li><li>Empower generative and agentic AI tools and agents (e.g. using Amazon Quick Suite, Kiro, Claude) to accelerate workflows such as writing, data analysis, status reporting, or stakeholder communications.</li><li>Make prioritization trade-offs based on dependencies, risks, customer impact, and effort. Prioritize volunteering product feature development based on impact, effort, and strategic alignment.
</li><li>Build automated dashboards that track ROI and program metrics to simplify reporting for executive leadership through monthly and quarterly business reviews.</li><li>Translate data insights to inform tradeoff decisions and strategic shifts based on what's working and what's not working.
</li><li>Create compelling data visualizations and reports that measure effectiveness of volunteering strategies, key success metrics, and tell the story of volunteering impact.
</li></ul>Stakeholder Management:
<br>
<ul><li>Serve as the primary liaison between senior leader organizations, regional volunteering teams, and the central volunteering team.
</li><li>Drive cross-level and cross-org stakeholder alignment through business documents and mechanisms.
</li><li>Manage Voice of Customer mechanisms to understand and identify product opportunities to address executives&rsquo; pain points and needs.
</li><li>Own, coordinate, and execute go-to-market plan for new volunteering products and features impacting executives and their organizations.
</li><li>Coordinate cross-functional initiatives that require alignment across multiple business lines, geographies, and stakeholder groups.<br>
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of program or project management experience</li><li>Experience using data and metrics to determine and drive improvements</li><li>Experience owning program strategy, end to end delivery, and communicating results to senior leadership</li><li>Experience using GenAI tools to improve operational processes, automate workflows, and/or drive productivity gains</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience working in corporate social responsibility or with nonprofits/NGOs</li><li>Working knowledge of Generative AI, Agentic AI, and emerging AI technologies</li><li>Familiarity with deploying prompt engineering concepts and ability to evaluate AI-generated outputs for accuracy and quality</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 115,600.00 - 160,000.00 USD annually</div><p></p>

Senior Program Manager, Executive Volunteering , Amazon Community Impact

<div><p><b>Job Description
</b></p><p></p><div><p><b>The </b><b>University of Washington Autism Center (UWAC) </b><b>has multiple outstanding opportunities for a </b><b>Behavior Technician (Research Study Coordinator 1 (NE S SEIU 925 Non Supv)) </b><b>to join their team.
</b></p><p></p><p><b>About this Opportunity
</b></p></div><div><p>Reporting to a Board Certified Behavior Analyst (BCBA) , the Behavior Technician is responsible for delivering direct, individualized intervention services to young children with Autism Spectrum Disorder (ASD) in a clinic ‑ based setting. This role supports the implementation of evidence ‑ based Applied Behavior Analysis (ABA) treatment plans, contributes to skill development and behavior improvement, and plays a vital role in supporting children and families while maintaining UW Autism Center clinical standards and practices.
</p></div><p></p><div><p>This position is located at the UW Seattle Campus. Employees MUST be available during ABA Day Program hours &ndash; 8:30-11:30 and 1:30-4:30 Monday-Thursday Tuesday- Friday. Employees are also required to be available for work on Fridays if necessary, for up to half of a regular shift. Schedule can be up to 40 hours &ndash; (Tuesdays-Fridays 8:00-6:30e.g., Monday-Thursday 8:00-5:30, Friday 8:00-12:00) but is negotiable based on clinic need and applicant availability. Hours may be subject to change based on client need, clinic needs, or schedule scheduling needs.<br>
</p></div><p></p><div><div><p><b>Key Responsibilities
</b></p></div><div><ul><li><p>To provide direct intervention to children (ages 12 months to 6 years) with ASD in a clinic setting.
</p></li></ul></div><div><ul><li><p>To accurately record client intervention data and manage records.
</p></li></ul></div><div><ul><li><p>To develop individualized materials used in therapy
</p></li></ul></div><div><ul><li><p>To attend meetings, as necessary.<br>
</p></li></ul></div><p></p><div><p>PROVIDE INTERVENTION - 60%
</p></div><div><ul><li><p>Work 1:1 with children age 12 months through 6years of age and their parents
</p></li></ul></div><div><ul><li><p>Implement intervention protocols developed by BCBA to increase skills/reduce problem behaviors.
</p></li></ul></div><div><ul><li><p>Provide responsible, positive, sensitive intervention and care during therapy.
</p></li></ul></div><div><ul><li><p>Apply ABA principles in therapy; tailor procedures to fit individual interests/needs.
</p></li></ul></div><div><ul><li><p>Work under close supervision of master's level BCBA.
</p></li></ul></div><div><ul><li><p>Assist in completion of curriculum assessments, as necessary.<br>
</p></li></ul></div><p></p><div><p>ORGANIZING/MAINTAINING THERAPY SPACE - 20%
</p></div><div><ul><li><p>Maintain clinic therapy spaces in an organized, clean, and child-proof manner.
</p></li></ul></div><div><ul><li><p>Follow sanitizing and cleaning procedures.
</p></li></ul></div><div><ul><li><p>Follow COVID-19 precaution procedures and protocols.
</p></li></ul></div><div><ul><li><p>Set up therapeutic materials prior to start of program and clean up at end of program
</p></li></ul></div><div><ul><li><p>Comply with snack , diaper , and toileting procedures to ensure hygiene and safety with clients.<br>
</p></li></ul></div><p></p><div><p>DEVELOP MATERIALS - 10%
</p></div><div><ul><li><p>Create and produce picture cards, books, and other visual supports as needed for the therapy program.
</p></li></ul></div><div><ul><li><p>Create and produce motivation charts, token boards, PECS icons, visual schedules, play materials, etc.<br>
</p></li></ul></div><p></p><div><p>MANAGING RECORDS AND DATA COLLECTION -10%
</p></div><div><ul><li><p>Organize and maintain computer and paper records of therapy including collecting and accurately recording data in each therapy session, graphing data, and completing treatment notes.<br>
</p></li></ul></div><p></p><div><p><b>Required Qualifications
</b></p></div><div><p>To be considered for this opportunity, your application must demonstrate you meet both the minimum qualifications listed below. Equivalent education and/or experience may substitute when permitted .
</p></div><p></p><div><p><b>Minimum Qualifications
</b></p></div><div><p>Applicants who do not meet these qualifications will not be forwarded to the hiring department.
</p></div><div><ul><li><p>Two years of college ‑ level coursework in a relevant academic field and two years of experience as a Research Study Assistant, or equivalent education and/or experience
</p></li></ul><p></p><p><b>Additional Qualifications
</b></p></div><div><ul><li><p>Ability and willingness to interact with young children in a spontaneous and creative manner
</p></li></ul></div><div><ul><li><p>Excellent organizational, written, and verbal communication skills
</p></li></ul></div><div><ul><li><p>Demonstrated ability to interact effectively with parents, children, and professionals
</p></li></ul></div><div><ul><li><p>Experience working with toddler ‑ , preschool ‑ , or elementary ‑ aged children
</p></li></ul></div><div><ul><li><p>Ability to provide physical care, including moving young children (12&ndash;48 months), diapering, and toilet training as needed<br>
</p></li></ul></div></div><p></p><div><div><p><b>P </b><b>referred Qualifications
</b></p></div><div><ul><li><p>Certified Behavior Technician (CBT) credential through the Washington State Department of Health
</p></li></ul></div><div><ul><li><p>Bachelor&rsquo;s degree in psychology, education, human/child development, or a related field
</p></li></ul></div><div><ul><li><p>Training or experience with early intensive behavioral intervention, applied behavior analysis, early intervention, developmental psychology, or special education
</p></li></ul></div><div><ul><li><p>Experience working directly with children and families affected by Autism Spectrum Disorder
</p></li></ul></div><div><ul><li><p>Willingness to commit to the position for at least 12 months to support continuity of care<br>
</p></li></ul></div><p></p><div><p><b>W </b><b>orking Conditions
</b></p></div><div><ul><li><p>Work is performed in a clinical setting with young children
</p></li></ul></div><div><ul><li><p>Position requires frequent bending, lifting, standing, and floor ‑ based activities
</p></li></ul></div><div><ul><li><p>Routine exposure to bodily fluids during diapering and toileting activities
</p></li></ul></div><div><ul><li><p>Adherence to infection control, sanitization, and public ‑ health safety procedures<br>
</p></li></ul></div></div><p></p><div><p><b>About the Team
</b></p></div><div><p>The UW Autism Center (UWAC) is part of the University of Washington&rsquo;s Center on Human Development and Disability and includes faculty and staff from the School of Medicine, College of Arts &amp; Sciences, and College of Education. UWAC is committed to supporting individuals and families affected by autism through exceptional clinical services, innovative research, and high ‑ quality professional training.
</p></div><p></p><div><p>Behavior Technicians work within a collaborative, interdisciplinary team that includes licensed psychologists, speech ‑ language pathologists, Board Certified Behavior Analysts, medical professionals, faculty members, and graduate and post ‑ doctoral trainees. This environment offers strong mentorship, professional development, and the opportunity to make a meaningful impact on children and families.
</p></div><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$45,144.00 annual
<p><b>Pay Range Maximum:
</b></p>$57,252.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Nonsupervisory
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>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.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>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 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>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 .</p></div>

Behavior Technician (Seattle Campus) (Multiple Opportunities)

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