applied scientist, amazon special projects Jobs in Seattle

applied scientist, amazon special projects

data and analytics director Jobs in Seattle

data and analytics director

data scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
<br>
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.<br>
<br>
Key job responsibilities<br>
As an Applied Science, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.<br>
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
About the team<br>
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</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></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience in patents or publications at top-tier peer-reviewed conferences (NeurIPS, ICML, ICLR, CVPR) or journals</li><li>Experience in deep learning models for life sciences; knowledge of protein biology.</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.<br>
<br>
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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Amazon Special Projects

PitchBook

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
As a Senior Machine Learning Engineer (MLE) on the AI &amp; ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.</p>
<p>
You will be deeply involved in the end-to-end development and operationalization of ML models, including their architecture, training, deployment, and ongoing maintenance. Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical challenges, contribute to architectural decisions, and collaborate closely with other engineers, data scientists, and product managers to ensure that your work aligns with business goals and AI/ML strategy.</p>
<p>
Your contributions will help unlock unique value for PitchBook customers by improving the speed, discoverability, quality, and quantity of insights available on the platform. This includes developing models that can infer meaning and structure from millions of discrete data sources, and applying ML to enrich our datasets with predictive and generative intelligence. As a senior engineer, you will take ownership of key technical components and ensure that our systems meet the highest standards of performance, reliability, and security.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Deliver high-impact AI and ML capabilities that drive insight generation on the PitchBook Platform. Ensure your work contributes to broader business goals and is aligned with the team's strategic priorities</li>
<li>Provide hands-on expertise in designing, building, and deploying AI/ML models and services with a focus on NLP, summarization, semantic search, classification, and prediction. Contribute to the development of scalable, high-performance systems that meet production-grade reliability and efficiency standards</li>
<li>Support a culture of technical excellence by mentoring peers, sharing knowledge, and participating in code and design reviews. Promote innovation and continuous improvement through collaborative engineering practices</li>
<li>Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to generate meaningful insights from structured and unstructured data. Integrate these models into the broader AI/ML infrastructure in collaboration with partner teams</li>
<li>Collaborate with engineering, product management, and data collection teams to ensure models are informed by high-quality data and support strategic product goals</li>
<li>Explore and experiment with emerging technologies, methodologies, and tools in the fields of GenAI, NLP, and search. Translate research findings into practical solutions that enhance PitchBook's AI capabilities</li>
<li>Contribute to best practices in model transparency, monitoring, evaluation, and compliance. Help maintain high standards of security, data integrity, and responsible AI use across your projects</li>
<li>Participate in the technical evaluation of candidates and help onboard new team members by contributing to documentation, pairing, and knowledge-sharing practices</li>
<li>Apply principles from Agile, Lean, and Fast-Flow methodologies to support efficient model development and deployment cycles</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's or advanced degree in Computer Science, Mathematics, Data Science, or a related technical field, advanced degree preferred</li>
<li>6+ years of experience in software engineering or machine learning engineering, with a strong focus on AI/ML applications in insight generation, summarization, semantic search, and prediction</li>
<li>Demonstrated expertise in natural language processing (NLP) and machine learning, including hands-on experience with classifiers, transformer models, large language models (LLMs), and widely used ML and data science libraries such as scikit-learn, pandas, numpy, TensorFlow, and PyTorch</li>
<li>Experience delivering production-grade GenAI or LLM-based systems with measurable business impact</li>
<li>Familiarity with the LangChain ecosystem, including tools such as LangSmith and LangGraph, and experience using them in production environments is a strong plus</li>
<li>Deep proficiency in building and maintaining scalable data pipelines and distributed systems using technologies such as Apache Kafka, Airflow, and cloud data platforms like Snowflake</li>
<li>Strong programming skills in Python and SQL, with working knowledge of additional languages such as Java or Scala considered a plus</li>
<li>Practical experience with cloud-native development, containerization, and orchestration technologies such as Docker and Kubernetes</li>
<li>Demonstrated ability to solve complex technical problems, contribute to architectural decisions, and deliver high-performance, reliable solutions</li>
<li>Excellent communication and collaboration skills, with experience working cross-functionally with product managers, engineers, and data scientists in globally distributed teams</li>
<li>Experience working in fast-paced, data-driven environments. Prior exposure to fintech or financial data platforms is a strong advantage</li>
<li>Experience authoring research papers for peer-reviewed AI/ML conferences (e.g., NeurIPS, ICML, ACL) and participating in the broader AI research community is strongly preferred</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $170,000-$240,000</li>
<li>Target annual bonus percentage: 10%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Sr. Machine Learning Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, providing strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime and provisioning, patching, or upgrading infrastructure.<br>
<br>
As a Senior Applied Scientist, you will be expected to lead research and development in advanced query optimization techniques for distributed sql services. You will innovate in the query planning and execution layer to help Aurora DSQL succeed at delivering high performance for complex OLTP workloads. You will develop novel approaches to stats collection, query planning, execution and optimization. You will drive industry leading research, publish your research and help convert your research into implementations to make Aurora DSQL the fastest sql database for OLTP workloads.<br>
<br>
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.<br>
<br>
Key job responsibilities<br>
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You&rsquo;ll bring a passion for innovation, data, search, analytics, and distributed systems. You&rsquo;ll also:<br>
Solve challenging technical problems, often ones not solved before, at every layer of the stack.<br>
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.<br>
Build high-quality, highly available, always-on products.<br>
Research implementations that deliver the best possible experiences for customers.<br>
<br>
A day in the life<br>
As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You&rsquo;ll also:<br>
Build high-impact solutions to deliver to our large customer base.<br>
Participate in design discussions, code review, and communicate with internal and external stakeholders.<br>
Work cross-functionally to help drive business decisions with your technical input.<br>
Work in a startup-like development environment, where you&rsquo;re always working on the most important stuff.<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</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>
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.<br>
<br>
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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Distributed SQL

Trupanion

<div><b>Company Description</b><p><br>
Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. We offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.</p><b><br>
Job Description</b><p><br>
The Senior Analyst supports the data research function by transforming complex veterinary medical data into actionable insights for product, claims, actuarial, and growth teams. This role executes research studies, ensures data quality, and delivers clear analyses that inform strategic decisions. This role will collaborate closely with DVM advisors, domain experts, and cross-functional teams to ensure clinical relevance and business impact.</p><p><b>
Background in veterinary, biomedical, or health economics domains preferred!</b></p><p>
This position is open to <b>candidates in the Seattle area.</b> You will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least <b>3 days a week.</b></p><p><b>
Key Responsibilities</b></p><ul><li>
Execute research studies aligned to business outcomes; quantify drivers of pet health costs, retention, and claim outcomes under the guidance of the Senior Manager.</li><li>
Apply rigorous methodologies (e.g., cohort analyses, causal inference, A/B tests) with appropriate controls and power calculations.</li><li>
Maintain standards for data quality, documentation, and reproducibility; participate in peer review and research governance.</li><li>
Collaborate with Claims Operations, Actuarial, Product, and Growth Insights to translate business questions into testable hypotheses and measurable KPIs.</li><li>
Synthesize findings into executive-ready narratives and visualizations; communicate tradeoffs and limitations to nontechnical stakeholders.</li><li>
Partner with clinical experts (DVMs) to interpret veterinary medical records, diagnostics, and treatment plans; ensure clinical validity in feature engineering and labeling.</li><li>
Champion responsible data practices for sensitive veterinary medical data, including privacy-by-design, minimum-necessary access, and robust deidentification.</li><li>
Influence data platform improvements (e.g., data modeling, instrumentation, semantic definitions) to support research velocity and reliability.</li></ul><p><b>
Qualifications</b></p><ul><li>
4+ years in data analytics/data science, with experience in research programs or applied analytics.</li><li>
Proficiency with SQL and a modern BI stack (e.g., Tableau); hands-on experience with Python or R for statistical analysis and modeling.</li><li>
Demonstrated expertise in experimental design, statistical inference, and causal methods.</li><li>
Experience working with medical-like data (unstructured records, lab values, imaging reports) and mapping raw data into normalized schemas.</li><li>
Track record of delivering research projects that influenced product, pricing, or operational decisions.</li><li>
Strong communication skills; ability to translate complex methods into crisp insights for senior leaders.</li><li>
Exposure to machine-learning methods (e.g., gradient boosting, random forests, GLMs) applied to observational data; focus on interpretability.</li><li>
Experience collaborating with Actuarial and Claims teams in insurance contexts.</li></ul><p><b>
Background and Skills</b></p><ul><li>
Background in veterinary, biomedical, or health economics domains preferred.</li><li>
Hands-on experience with feature engineering on medical records; comfort with ambiguous labeling and domain-driven taxonomies.</li><li>
Commitment to continuous learning and professional development.</li></ul><p><b>
Compensation</b></p><ul><li>
The base pay range for this position is $100,000 - $120,000, on a full-time schedule.</li><li>
Along with base salary, Trupanion employees may be eligible for monthly bonuses.</li><li>
We want all employees to be invested in Trupanion&rsquo;s success, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years.</li></ul><br>
<b>
Additional Information</b><div></div><p><b><br>
Benefits and Perks:</b></p><ul><li>
Full medical, dental, and vision benefits at no cost to the employee</li><li>
Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)</li><li>
Five-week sabbatical after five years of employment</li><li>
Open, casual, pet-friendly, and fun office environment</li><li>
Free medical health insurance for your pet (1 dog or cat)</li><li>
Paid time off to volunteer at nonprofit organizations</li><li>
Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.</li></ul><p>
For more information about Trupanion, visit https://trupanion.com/about</p><p>
Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ</p><p>
Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.</p><p>
We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.</p></div>

Senior Analyst, Veterinary Data Research

<div><div><p>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.</p>
<p>
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
</p><p>If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</p></div><p></p>
<p><b>
About the Role:</b></p>
<p>
As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.</p>
<p>
We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!</p>
<p>
PitchBook's Associate Machine Learning Engineer is responsible for using machine learning, statistical modeling, and Natural Language Processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role requires curiosity and a strong desire to learn. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.</p>
<p><b>
Primary Job Responsibilities:</b></p>
<ul>
<li>Use natural language processing (NLP) and machine learning techniques to create novel views of private industry data</li>
<li>Analyze and extract features from large amounts of unstructured data, determine most relevant features, and use clustering algorithms to drive insight into the data</li>
<li>Analyze textual data such as articles and conversations to identify novel signals of private company performance</li>
<li>Work closely with Product and Engineering teams to establish scalable, efficient, and automated processes for large scale data analyses and models</li>
<li>Contribute to thought leadership on Data Science and Machine Learning best practices by staying informed of current trends in industry</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
<p><b>Skills and Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field</li>
<li>Experience in a similar role in a production environment</li>
<li>Experience or exposure with natural language processing (NLP)</li>
<li>Experience or exposure with Python, R, or other relevant programming frameworks</li>
<li>Experience or exposure in using SQL for data extraction</li>
<li>Strong communication and data presentation skills</li>
<li>Strong problem-solving ability</li>
<li>Ability to communicate complex analysis in a clear, precise, and actionable manner</li>
<li>Experience working closely a with software development team(s) a plus, but not required</li>
<li>Financial services, investment, banking, venture capital and/or private equity knowledge, but not required</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
<p><b>Benefits + Compensation at PitchBook:</b></p>
<p>
Physical Health</p>
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
<p>Emotional Health</p>
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
<p>Social Health</p>
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
<p>Financial Health</p>
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li><i>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</i></li></ul>
<p>
Compensation</p>
<ul>
<li>Annual base salary: $110,000-$150,000</li>
<li>Target annual bonus percentage: 7.5%</li>
</ul>
<p><b>Working Conditions:</b></p>
<p>
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.</p>
<p>
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.</p>
<p>
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.</p>
<p>
#LI-MS1</p>
<p>
#LI-Onsite</p></div><p></p>

Associate Machine Learning Engineer

Fred Hutchinson Cancer Center

<div>Overview:
<div>
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div><br>
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div><br>
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div><br>
The <b>Rajan Laboratory</b> in the Basic Sciences Division at Fred Hutchinson Cancer Center uses multidisciplinary approaches to study inter-organ communication using Drosophila melanogaster as a model system. Our research focuses on understanding how adipose tissue communicates nutrient status to the brain, and how chronic nutrient surplus disrupts this communication, contributing to metabolic disease.</div><div></div><div><br>
By examining these questions in a genetically tractable model organism, the lab aims to generate fundamental insights into metabolic regulation that can inform broader approaches to obesity and related disorders.</div><div><br>
Additional information about the Rajan Lab can be found at: http://akhilalab.org</div>
Responsibilities:
<div>
Under the direct supervision of senior laboratory members, the <b>Research Technician I</b> will support and contribute to ongoing research projects using established experimental protocols. Primary responsibilities include:</div><ul><li>
Performing laboratory experiments in fruit fly genetics, ELISA-based assays, biochemistry (including Western blotting and immunoprecipitation), and molecular biology (cloning, PCR).</li><li>
Assisting with data collection, organization, and basic analysis under guidance.</li><li>
Participating in laboratory meetings, journal clubs, and group discussions.</li><li>
Maintaining accurate laboratory records and following established SOPs.</li><li>
Supporting general laboratory operations, including ordering supplies, maintaining Drosophila stocks, preparing fly food, and routine lab maintenance.</li><li>
Performing additional duties as needed to support laboratory research activities.</li></ul><div>
This role is expected to involve increasing independence over time while remaining under close scientific supervision, consistent with a Research Technician I appointment.</div><div></div><div><b><br>
Training and Career Development</b></div><div>
This position is ideal for a recent graduate seeking intensive, hands-on research experience prior to pursuing graduate school, medical school, or an MD/PhD program. The Research Technician I will receive structured mentoring, exposure to experimental design, and guidance on professional development, including preparation for competitive graduate or physician-scientist training programs.</div>
Qualifications:
<div><b>
MINIMUM QUALIFICATIONS:</b></div><ul><li>
Bachelor&rsquo;s degree in related scientific field or equivalent combination of education and experience<br>
</li><li>
Demonstrated scientific knowledge in the area of study<br>
</li><li>
Demonstrated basic laboratory skills</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Demonstrated scientific curiosity and motivation to learn experimental techniques.</li><li>
Prior bench research experience (e.g., as a laboratory aide, undergraduate researcher, or equivalent).</li><li>
Strong attention to detail and reliability in executing experimental protocols.</li><li>
Ability to follow instructions, accept feedback, and work productively under supervision.</li><li>
Good organizational skills and time management.</li><li>
Effective verbal and written communication skills.</li><li>
Ability to work collaboratively as part of a research team.</li></ul><p></p><div>
The hourly pay range for this position is from $23.33 to $33.21 and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.<br>
<br>
This position is not eligible for H-1B sponsorship at this time.<br>
<br>
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).</div>
Additional Information: We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.</div>

Research Technician I

King County, WA

<div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><br>
<p></p><div><br>
<p>The Solid Waste Division (SWD) is looking for one environmental professional to join a welcoming and dedicated team of environmental scientists and engineers who are committed to preserving and protecting the natural resources and communities within King County.</p><p>
Is environmental protection important to you? Alongside other environmental professionals, this position contributes to projects and programs to ensure environmental regulations and permit conditions are met while delivering resource recovery and waste disposal services throughout King County.</p><p>
Do you like variety? This position contributes to programs covering a wide variety of local, state, and federal environmental regulations, permit programs, and other requirements commonly applicable to the operation of industrial sites.</p><p>
Do you enjoy a challenge? The solid waste industry and environmental regulations are constantly changing and SWD must adapt to continue delivering high-quality services to its customers.</p><p><b>
About this Role</b></p><p>
The Environmental Scientist II contributes to multidisciplinary teams across the Solid Waste Division to ensure our services are provided in ways that protect human health and the environment. This position will play a key role in modernizing the Division&rsquo;s system for tracking environmental activities, maintaining environmental plans, and reporting environmental outcomes to stakeholders. This position will support a wide variety of programs, such as solid waste management, industrial wastewater management, surface and groundwater quality, air quality, incident prevention, response and reporting, and dangerous waste management, to name a few. Assignments may include project management, contract management, report production, software administration, data analysis, development of tools to improve efficiency/quality, and other activities that support the Division&rsquo;s environmental compliance program.</p><p>
This position performs work both remotely and on-site.</p><p><b>
About the Team</b></p><p>
The Facility Engineering and Science Section (FESS) is a critical member of the King County Solid Waste Division (SWD) team. Our engineers, scientists, technicians, and IT professionals, support a variety of large-scale programs and projects within SWD. FESS is a dynamic team committed to safety, environmental stewardship, and providing critical services to the residents and businesses of King County. Our team consists of civil, mechanical, chemical, and environmental engineers, geologists, environmental scientists, construction managers, operational technology systems engineer, IT systems architect, project managers, CAD/BIM professionals as well as surveyors and asset managers. To learn more about SWD visit https://kingcounty.gov/depts/dnrp/solid-waste.aspx.</p><p><b>
Commitment to Equity, Racial, and Social Justice:</b><br>
King County, named after Dr. Martin Luther King, Jr., is a diverse and vibrant community that represents cultures from around the world. Our True North is to create a welcoming community where everyone can thrive. We prioritize equity, racial and social justice, making it a foundational and daily expectation for all employees. In this position, you will actively apply these principles in all aspects of your work. Learn more about our commitment at http://www.kingcounty.gov/equity.<br>
<br>
<b>Apply now for a rewarding career at the </b><b>Solid Waste Division</b><b> of the King County Department of Natural Resources &amp; Parks. Join our talented workforce in protecting and restoring the natural environment and promoting more resilient, sustainable, and equitable communities. Enjoy training, </b><b>comprehensive benefits</b><b>, and growth opportunities.</b></p></div><p></p>
<div><h2 class="jobSectionHeader"><b>Job Duties</b></h2></div>
<p></p><div><p><b>What You Will be Doing:</b></p><ul><li>
In collaboration with senior compliance personnel, complete tasks to fulfill and/or coordinate fulfillment of requirements specified in solid waste, wastewater, stormwater, air, and other environmental permits and regulations applicable to the Solid Waste Division.</li><li>
Gather and assemble information to document compliance with various environmental regulations and permits applicable to Solid Waste Division facilities. Prepare compliance reports for submittal to regulatory agencies and other stakeholders. Manage information and records related to environmental compliance to facilitate efficient and effective access by a variety of internal and external stakeholders.</li><li>
Review, collate, and analyze environmental data to evaluate environmental control systems performance, long-term trends, and to provide insight on environmental conditions at Solid Waste Division facilities.</li><li>
Keep track of proposed and adopted changes to regulations and permits applicable to the Solid Waste Division.</li><li>
Develop, configure, and use environmental tracking tools to disseminate compliance-related activities and schedules as well as monitor compliance outcomes. Tools may include continued use of existing systems (e.g., SharePoint libraries), implementation of systems currently under development (e.g., Maximo), and/or new tools developed as part of this position (e.g., Power Automate workflows).</li><li>
Apply continuous improvement principles and prepare standard work documentation to support efficient and consistent processes throughout the Solid Waste Division environmental compliance program.</li><li>
As directed, provide support to Solid Waste Division projects, such as permit acquisition and small-scale project management.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Experience, Qualifications, Knowledge, Skills</b></h2></div>
<p></p><div><p><b>Qualifications You Bring:</b></p><ul><li>
Bachelor's degree in environmental science, biology, chemistry, ecology, geology or closely related field <b>or</b> any combination of education and experience that clearly demonstrates the skills and knowledge to perform the scope of job duties of this position.</li><li>
Experience in environmental compliance work experience and broad knowledge of related technical, engineering, and scientific disciplines.</li><li>
Experience preparing environmental compliance reports, including technical reports.</li><li>
Experience documenting standardized processes.</li><li>
Broad experience using Microsoft 365 applications and skill in developing and using technology-based tools to efficiently manage data, processes, and tasks.</li><li>
Skill in promoting mutual respect and acceptance of all workers in a diverse work group.</li></ul><br>
<b>
Necessary Special Requirements:</b><br>
This position requires the ability to travel in a timely manner to various work locations, including to sites which may not be served by public transportation. County vehicles may be available to utilize.<p><b><br>
It Would Be Great If You Also Brought:</b></p><ul><li>
One or more certifications related to continuous improvement such as Lean, Six Sigma, etc.</li><li>
One or more certifications related to widely used software applications such as Microsoft 365 apps, etc.</li><li>
Experience using Maximo Application Suite (MAS)</li></ul><p><b>
 The Successful Candidate Will Have the Following Competencies:</b></p><ul><li><b>
Tech Savvy: </b>Anticipating and adopting innovations in business- building digital and technology applications.</li><li><b>
Action Oriented</b>: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.</li><li><b>
Optimizes Work Processes: </b>Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.</li><li><b>
Collaborates</b>: Building partnerships and working collaboratively with others to meet shared objectives.</li><li><b>
Values Differences</b>: Recognizing the value that different perspectives and cultures bring to an organization.</li><li><b>
Communicates Effectively</b>: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.</li></ul></div><p></p>
<div><h2 class="jobSectionHeader"><b>Supplemental Information</b></h2></div>
<p></p><div><p><b>Working Conditions:</b></p><ul><li><b>
Remote and Onsite Work Details: </b>The FESS team works in a hybrid model, with days in the office as well as telecommuting. The ratio of remote to onsite work will be dependent on business needs and is subject to change. The primary onsite location is: King Street Center, 201 S. Jackson, Seattle, Washington 98104. Employees must reside in Washington state and within a reasonable distance to their King County worksite to respond to workplace reporting requirements. King County has a robust collection of tools and resources to support working remotely. The individual selected for this opportunity will join an innovative and progressive team that is redefining how we work as we transition to the department's hybrid environment. Employees will be provided with a County-issued laptop and must maintain a home workspace with an internet connection where they can reliably perform work and remain available and responsive during scheduled work hours.</li></ul><ul><li><b>
Work Schedule: </b>Th&iacute;s<b> </b>full-time position works a 40-hour work week. This position is covered under the provisions of the Fair Labor Standards Act (FLSA) and is overtime eligible.</li></ul><ul><li><b>
Union Representation:</b> This position is represented by Protec Local 17.</li></ul><p><b>
Application and Selection Process: </b>We welcome applications from all qualified applicants. We value diversity, diverse perspectives, and life experience and encourage people of all backgrounds to apply.</p><p>
Application materials will be screened for clarity, completeness, and alignment with the experience, qualifications, knowledge, and skills essential for this role to determine which candidates may be invited to participate in one or more panel interviews.</p><p>
To apply, submit a:</p><ul><li><b>
Complete Application</b></li><li><b>
Cover Letter</b> (Required)</li><li><b>
Optional Resume </b>(Will be reviewed if submitted)</li></ul><p>
Note: Additional documents won't be considered during minimum qualification screening.</p><b>
For more information regarding this recruitment, please contact </b>Susan Ng at susan.ng@kingcounty.gov<p><b><br>
Discover More About the Solid Waste Division: </b>Visit our website at our website at Solid Waste Division and check us out at Facebook | Twitter | Instagram | YouTube.</p><p><b>
Discover More About DNRP: </b>Visit our website, explore an interactive map of our recent accomplishments and check us out at Facebook, X (formerly Twitter), LinkedIn, TikTok, Instagram, YouTube and Keeping King County Green News.</p><p>
Sign up for Job Alerts to be notified of additional career opportunities with King County. Select the <b>Natural Resources </b>category for DNRP opportunities and explore other categories of interest.</p><p><b>
Forbes named King County as one of Washington State's best employers.</b></p><p><b>
Together, with leadership and our employees, we're changing the way government delivers service and winning national recognition as a model of excellence. Are you ready to make a difference? </b><b>Come join the team</b> <b>dedicated to serving one of the nation's best places to live, work and play.</b></p><p>
Guided by our &quot;True North&quot;, we are making King County a welcoming community where every person can thrive. We value diversity, inclusion and be longing in our workplace and workforce. To reach this goal we are committed to workforce equity. Equitable recruiting, support, and retention is how we will obtain the highest quality workforce in our region; a workforce that shares and will help advance our guiding principles - we are one team; we solve problems; we focus on the customer; we drive for results; we are racially just; we respect all people; we lead the way; and we are responsible stewards. We encourage people of all backgrounds and identities to apply, including Native American and people of color, immigrants, refugees, women, LGBTQ+, people living with disabilities, and veterans.</p><p><b>
King County is an Equal Employment Opportunity (EEO) Employer</b></p><p>
No person is unlawfully excluded from employment opportunities based on race, color, religion, national origin, sex (including gender identity, sexual orientation and pregnancy), age, genetic information, disability, veteran status, or other protected class. Our EEO policy applies to all employment actions, including but not limited to recruitment, hiring, selection for training, promotion, transfer, demotion, layoff, termination, rates of pay or other forms of compensation.</p><p><b>
To Apply</b></p><p>
If you are interested in pursuing this position, please follow the application instructions carefully. If you need this announcement in an alternate language or format, would like to request accommodation or assistance in the application or assessment process or if you have questions please contact the recruiter listed on this job announcement.</p><p><b>
Benefits</b></p><p>
King County offers a highly-competitive compensation and benefits package designed to meet the diverse needs of our employees and support our employees' health and well-being. Eligible positions receive the following benefits and have access to the following programs:</p><ul><li>
Excellent medical, dental, and vision coverage options: King County provides eligible employees with options, so they can decide what&rsquo;s best for themselves and their eligible dependents</li><li>
Life and disability insurance: employees are provided basic coverage and given the opportunity to purchase additional insurance for both the employee and eligible dependents</li><li>
Retirement: eligible King County employees may participate in a pension plan through the Washington State Department of Retirement Systems and a 457(b) deferred-compensation plan</li><li>
Transportation program and ORCA transit pass</li><li>
12 paid holidays each year plus two personal holidays</li><li>
Generous vacation and paid sick leave</li><li>
Paid parental, family and medical, and volunteer leaves</li><li>
Flexible Spending Account</li><li>
Wellness programs</li><li>
Onsite activity centers</li><li>
Employee Giving Program</li><li>
Employee assistance programs</li><li>
Flexible schedules and telecommuting options, depending on position</li><li>
Training and career development programs</li></ul><p>
For additional information about employee benefits, visit our Benefits, Payroll, and Retirement Page.<br>
<br>
This is a general description of the benefits offered to eligible King County employees, and every effort has been made to ensure its accuracy. If any information on this document conflicts with the provisions of a collective bargaining agreement (CBA), the CBA prevails.</p></div></div></div><p></p>

Environmental Scientist II

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