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machine learning engineer Jobs in Seattle

machine learning engineer

ai and data mid-market sales engineer senior manager Jobs in Seattle

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

applied scientist, pricing science Jobs in Seattle

applied scientist, pricing science

product data science intern

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign's Product Data Science team is looking for a Data Scientist Intern to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As a Data Scientist Intern, you&rsquo;ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign&rsquo;s products.</p><p></p><p><br>
This role is not eligible for OPT or sponsorship now or in the future.</p><p></p><p><br>
This position is an individual contributor role reporting to the Director, Product Data Science.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention</p></li><li><p>
Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact</p></li><li><p>
Leverage data to develop actionable analytical insights and present findings to senior management</p></li><li><p>
Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models</p></li><li><p>
Design and build dashboards to provide actionable insights and key business metrics</p></li><li><p>
Design, build and test reliable data pipelines to extract and transform data</p></li><li><p>
Identify, design, and implement process improvements by automating manual processes for greater efficiency</p></li><li><p>
Collaborate with stakeholders across organizations to support their data needs</p></li><li><p>
Implement data quality checks to maintain the high quality of data</p></li><li><p>
Optimize and maintain the existing pipelines</p></li><li><p>
Document the work in confluence and Alation</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information Systems or other related engineering field</p></li><li><p>
Graduating in December 2025, May/June 2026</p></li><li><p>
English language proficiency: native or fluent</p></li><li><p>
Experience with SQL for data analysis and data validation.</p></li><li><p>
Experience with data visualization tools such as Tableau, Power BI, or similar</p></li><li><p>
Experience with statistics and rigorous analytical techniques</p></li><li><p>
Experience in extracting, transforming and loading data using any data platform</p></li><li><p>
Experience solving real business problems using data and analytics</p></li><li><p>
Experience in working with cross-functional teams</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Ability to present data in a visual format and explain the insights clearly and concisely</p></li><li><p>
Ability to delivery on multiple competing priorities</p></li><li><p>
Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies</p></li><li><p>
Experience designing and refining machine learning models</p></li><li><p>
Experience with Python or R</p></li><li><p>
Familiarity with data engineering processes.</p></li><li><p>
Highly motivated, organized, self-starter who thrives in a fast-paced environment</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area):
<p>$38/hour - $40/hour</p></div><p></p><div><p><b><br>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Product Data Science Intern

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Pricing Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon products worldwide.<br>
<br>
We are looking for a talented, organized, and customer-focused applied researchers to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our pricing algorithms across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning and predictive modeling skills, causal and experimental evaluation experience, excellent cross-functional collaboration skills and 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 independently to deliver business impact.<br>
<br>
Key job responsibilities<br>
<br>
<ul><li>See the big picture. Understand and develop science to influence the long term vision for Amazon's science-based competitive, perception-preserving pricing techniques</li></ul><br>
<ul><li>Build strong collaborations. Partner with product, engineering, and data teams within Pricing &amp; Promotions to deploy models at Amazon scale</li></ul><br>
<ul><li>Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, reinforcement learning, causal ML, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems</li></ul><br>
<ul><li>Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.</li></ul><br>
<ul><li>Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise to incrementally move the needle on some of our hardest pricing problems.</li></ul><br>
A day in the life<br>
We are hiring an applied scientist to drive our pricing optimization initiatives. The Price Optimization science team drives cross-domain and cross-system improvements through:<br>
<br>
<ul><li>invent and deliver price optimization, simulation, and competitiveness tools for Sellers.
</li><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>Promotion optimization initiatives exploring CX, discount amount, and cross-product optimization opportunities.</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 many partner-team architectures, and is highly relevant to the customer, therefore 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>
About the team: the Pricing Discovery and Optimization team within P2 Science owns price quality, discovery and discount optimization initiatives, including criteria for internal price matching, price discovery into search, p13N and SP, pricing bandits, and Promotion type optimization. We leverage planet scale data on billions of Amazon and external competitor products to build advanced optimization models for pricing, elasticity estimation, product substitutability, and optimization. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.</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>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>2+ years of hands-on predictive modeling and large data analysis experience</li><li>Experience in solving business problems through machine learning, data mining and statistical algorithms</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with training and deploying machine learning systems to solve large-scale optimizations</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Pricing Science

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p><p>
The Boeing Company is currently seeking a <b>Mid-Level</b> <b>Data Catalog Product Specialist</b> to join the team in <b>Seattle, AZ; Mesa, AZ; </b>or <b>Plano, TX</b>.</p><p></p><p>
The selected candidate will support the adoption, capability development, and product lifecycle for the Alation Data Catalog across Boeing. This role sits on the Enterprise Artificial Intelligence and Data (EAI&amp;D) Data Governance team and partners across Data Engineering, Analytics, Business Intelligence (BI), Security, Business Units (BUs), and Suppliers to deliver a catalog-driven data ecosystem that improves discoverability, trust, access, and stewardship of Boeing data.</p><p></p><p>
The successful candidate will combine product management discipline (roadmaps, user research, value propositions, Service Level Agreements (SLAs), Key Performance Indicators (KPIs), etc.) with hands-on experience in data governance, common data platforms, and business intelligence to accelerate catalog adoption and drive measurable business outcomes.</p><p></p><p><b>
Position Responsibilities:</b></p><p></p><ul><li><p>
Support &amp; drive product vision, strategy, and roadmap for the Alation Data Catalog to support data discovery, data lineage, stewardship workflows, access policies, and metadata management across Boeing</p></li><li><p>
Conduct user research and stakeholder discovery (data stewards, analysts, engineers, data consumers, security teams) to define product requirements and prioritize backlog using outcomes/KPI-driven decision making</p></li><li><p>
Define, measure, and iterate on KPIs (e.g., catalog adoption, active users, metadata coverage, stewardship SLA, search success rate, data asset usage) and deliver regular product metrics and reports</p></li><li><p>
Partner with Data Engineering and Platform teams to integrate Alation with enterprise data sources and metadata harvesters (Teradata, Google BigQuery, AWS Redshift, cloud object stores, data warehouses, etc.), ensuring scalable, secure integrations</p></li><li><p>
Act as a primary business-facing product owner for the catalog: run demos, onboard new user groups, design training/enablement, and evangelize value internally and externally where needed</p></li><li><p>
Design and deliver BI/analytics for product metrics and user-reported outcomes; build dashboards and reports to track adoption, value delivered, and areas for improvement</p></li><li><p>
Support data governance processes (data ownership/stewardship assignments, access controls, policy enforcement workflows) and help operationalize governance playbooks with tooling</p></li><li><p>
Facilitate governance forums, stakeholder working groups, and prioritize enhancements that reduce friction and increase trust in corporate data assets</p></li></ul><p></p><p><b>
Basic Qualifications (Required Skills/Experience):</b></p><p></p><ul><li><p>
3+ years of experience in technical product management or product ownership, specifically in data science, AI, data products, or related technical domains</p></li><li><p>
3+ years of experience in an agile work environment</p></li><li><p>
3+ years of experience with data governance frameworks and compliance standards relevant to data management</p></li><li><p>
3+ years of experience with analytics technology stacks; Azure, GCP, Teradata, etc.</p></li><li><p>
Willing and able to travel domestically 10% of the time</p></li></ul><p></p><p><b>
Preferred Qualifications (Desired Skills/Experience):</b></p><p></p><ul><li><p>
Certifications or formal training in product management, data governance, or cloud data technologies</p></li><li><p>
Experience working directly with Alation or another enterprise data catalog or metadata management tool</p></li><li><p>
Experience integrating metadata harvesters, catalog connectors, or APIs between catalogs and data platforms</p></li><li><p>
Experience with cloud data architectures (AWS, GCP, Azure) and cloud-native data services</p></li><li><p>
Experience with data security/privacy frameworks and implementing access controls in catalog tooling</p></li><li><p>
Experience designing and implementing adoption programs, training curricula, and community of practice models for governance/stewardship</p></li><li><p>
Experience with metrics instrumentation and building product health dashboards to demonstrate ROI</p></li></ul><p></p><p><b>
Conflict of Interest:
</b></p><p>Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.</p><p></p><p><b>
Drug Free Workplace:</b></p><p>
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.</p><p></p><p><b>
Pay &amp; Benefits:</b></p><p>
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
</p><p></p><p>The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.</p><p></p><p>
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.</p><p></p><p>
Pay is based upon candidate experience and qualifications, as well as market and business considerations.</p><p></p><p>
Summary pay range: $105,400 &ndash; $152,950</p><p><br>
Applications for this position will be accepted until <b>Mar. 10, 2026</b></p><p><b><br>
Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p><p><b>
Export Control Details:
</b></p><p>US based job, US Person required</p><p><b>
Relocation
</b></p><p>Relocation assistance is not a negotiable benefit for this position.</p><p><b>
Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p><p><b>
Shift
</b></p><p>This position is for 1st shift</p><p><b><br>
Equal Opportunity Employer:</b></p><p>
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>

Mid-Level Data Catalog Product Specialist

Aircall

<p></p><div><div><p><div><div><div><b>Seattle Office /</b><b> San Francisco Office</b></div><div><b>Engineering &ndash; 13008 - Data /</b></div><div><b>Permanent Full Time Employee /</b></div><div><b>Hybrid</b></div></div></div><p>
</p></p></div><div><div><div>
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We&rsquo;re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.</div><div></div><div><br>
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.</div><div></div><div><br>
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We&rsquo;ve built a product customers love and a business that&rsquo;s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.</div><div>
At Aircall, you&rsquo;ll join a company in motion. We&rsquo;re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.</div><div></div><div><b><br>
How we work at Aircall: </b>We&rsquo;re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you&rsquo;ll feel at home here.</div><div></div><div><b><br>
About the role
</b></div><div>The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.</div><div></div><div><br>
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.</div></div><div><div><ul><ul><li>
Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.</li><li>
Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.</li><li>
Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.</li><li>
Own the core company data pipeline, responsible for converting business needs to efficient &amp; reliable data pipelines.</li><li>
Participate in code reviews to ensure code quality and share knowledge.</li><li>
Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.</li><li>
Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics.</li><li>
Collaborate with applied scientists, data scientists, analysts and other business stakeholders to drive efficiencies for their work, supporting complex data processing, storage and orchestration</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
A little more about you:</b></h3><ul><ul><li>
Bachelor's degree or higher in Computer Science, Engineering, or a related field.</li><li>
3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.</li><li>
Proficient in SQL and Python, with the ability to translate complexity into efficient code.</li><li>
Experience with data workflow development and management tools (dbt, Airflow).</li><li>
Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.</li><li>
Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li><li>
Prior experience designing <b>AI-ready data semantic layer</b> is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.</li><li>
Experience with data tooling, data governance, business intelligence and data privacy is a plus.</li></ul></ul></div></div><div><div>
$154,000 - $186,000 a year</div><div>
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.</div></div><div><div>
Why join us?</div><div></div><div><br>
   Key moment to join Aircall in terms of growth and opportunities</div><ul><li>️ Our people matter, work-life balance is important at Aircall</li></ul><div>
   Fast-learning environment, entrepreneurial and strong team spirit</div><div>
   45+ Nationalities: cosmopolite &amp; multi-cultural mindset</div><div>
   Competitive salary package &amp; equity</div><div>
   Medical, dental, and vision insurance is 100% covered</div><div>
   401k plan with company matching!</div><div>
✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!</div><ul><li>️ Wellness, internet, and childcare reimbursements</li></ul><div>
   Generous parental leave policy</div><div></div><div><br>
DE&amp;I Statement:</div><div>
At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.</div><div></div><div><br>
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.</div><div></div><div><br>
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.</div><div></div><div><br>
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.</div></div><div><div><i>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</i></div></div></div></div><p></p>

Data Engineer, Data and Science

Stackline

<div>
 Stackline is the first full-funnel connected commerce platform for the world's most innovative brands. Business leaders, product innovators, performance marketers, and analysts trust Stackline as the single source of commerce truth. Fueled by our proprietary neural network, our market insights, revenue metrics, behavior analyses, and autonomous functionality create the actions that determine success or failure.
 <br/>
 <br/>
 Founded in 2014 in Seattle, we have offices in Minneapolis, New York, Salt Lake City, and London. Since November 2020, Stackline has raised $180 million in strategic investments from Goldman Sachs Growth Equity and TA Associates.
 <br/>
 <br/>
 Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together.
 <br/>
 <br/>
 <strong>
  About the Role:
  <br/>
  <br/>
 </strong>
 Join us as a Data Analyst where you will step into a dynamic role that that makes a real impact for our clients. If you are passionate about uncovering hidden insights within complex data sets and transforming raw data into actionable knowledge, then we want to talk with you! In this role you will embark on an adventure that utilized your analytical prowess to decode data, identify trends, and help shape the future of Stackline. Apply today and help us on our quest to unlock the full potential of data while contributing to meaningful change! This is a hybrid role (4 days/week in office) and is based out of our Seattle, WA office.
 <br/>
 <br/>
 <strong>
  What You Will Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conduct comprehensive dataset analyses across Stackline to extract insights, trends, and patterns utilizing mathematical, statistical, and probability methodologies.
  </li>
  <li>
   Build and maintain data pipelines and workflows to ensure data accuracy and consistency, while identifying and rectifying errors, inconsistencies, or missing information.
  </li>
  <li>
   Provide timely and precise responses to inquiries from both internal and external sources regarding datasets and models.
  </li>
  <li>
   Apply technical expertise to process complex datasets, establish quality control procedures, and derive actionable insights through analytics.
  </li>
  <li>
   Develop scalable processes for automating reports and visualizations to communicate findings effectively to stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to understand data requirements and address specific product questions or challenges.
  </li>
  <li>
   Document data sources and processes for data analysis.
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   <br/>
  </li>
 </ul>
 <strong>
  Who We Are Looking For:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or other relevant technical field.
  </li>
  <li>
   2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
  </li>
  <li>
   2+ years of experience with statistics and probability, particularly their application in systems analysis and operations research.
  </li>
  <li>
   Demonstrated experience with Python and SQL.
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  </li>
 </ul>
 <strong>
  Bonus Points If You Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience using advanced statistical tools such as SciPy or sklearn.
  </li>
  <li>
   Prior experience with big data technologies such as Hadoop or Spark.
  </li>
  <li>
   Demonstrated experience designing and building innovative ideas, working closely with technical teams from concept generation through implementation.
  </li>
  <li>
   Experience working in a startup, retail, digital advertising, or e-commerce environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits And Perks
  <br/>
  <br/>
 </strong>
 It's important that each and every employee feels they are supported and can complete their life's best work today and in the future. As part of that, we are committed to doing our part in addressing pay gaps and discrepancies by providing pay transparency for all of our roles. Actual salaries are just one component of the compensation package and may vary above or below the range based on job-related knowledge, skills, experience, location, and performance. The pay range for this position in Seattle is $85,000 - $105,000 per year. Other rewards may include annual bonuses, short- and long-term incentives, and other team-specific awards. In addition we provide a robust benefits and perks package that includes:
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 <ul>
  <li>
   Comprehensive benefits plan covering medical, dental, and vision
  </li>
  <li>
   Fertility benefits
  </li>
  <li>
   Company 401k plan plus matching
  </li>
  <li>
   Company paid Life Insurance
  </li>
  <li>
   20 days annually of Paid Time Off (with no accrual or tenure needed)
  </li>
  <li>
   9 Paid company holidays
  </li>
  <li>
   100% Paid Parental Leave - 20 weeks for birthing mothers and 12 weeks for all other parents
  </li>
  <li>
   Summer Fridays early close at 3 pm
  </li>
  <li>
   Fully stocked kitchen snacks with fresh fruit
  </li>
  <li>
   Happy hours and monthly catered lunches
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   <br/>
  </li>
 </ul>
 <em>
  Stackline is committed to creating a diverse environment and is proud to be an equal opportunity employer. We encourage applicants from all backgrounds to apply. All qualified applicants will receive consideration for employment without regard to race, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 </em>
</div>


Data Analyst I

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.<br>
<br>
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.<br>
<br>
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions.<br>
<br>
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.<br>
<br>
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.<br>
<br>
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.<br>
<br>
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.<br>
<br>
You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.<br>
<br>
Key job responsibilities<br>
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul><br>
About the team<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>
*Why 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>
*Diverse Experiences*<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred 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>
*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>
*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) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and 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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience</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, VA, Herndon - 108,300.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div><p></p>

Data Scientist, AWS Infrastructure Services Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Sponsored Products and Brands (SPB) is at the heart of Amazon Advertising, helping millions of advertisers&mdash;from small businesses to global brands&mdash;connect with customers at the moments that matter most. Our advertising solutions enable sellers, vendors, and brand owners to grow their businesses by reaching shoppers with relevant, engaging ads across Amazon's store and beyond. We're obsessed with delivering measurable results for advertisers while creating a delightful shopping experience for customers.<br>
<br>
Are you interested in defining the science behind the future of advertising? Sponsored Products and Brands science teams are pioneering breakthrough agentic AI systems&mdash;pushing the boundaries of large language models, autonomous reasoning, planning, and decision-making to build intelligent agents that fundamentally transform how advertisers succeed on Amazon.<br>
<br>
As an SPB applied science leader, you'll have end-to-end ownership of the product and scientific vision, research agenda, model architectures, and evaluation frameworks required to deliver state-of-the-art agentic AI solutions for our advertising customers. You'll get to work on problems that are fast-paced, scientifically rich, and deeply consequential. You'll also be able to explore novel research directions, take bold bets, and collaborate with remarkable scientists, engineers, and product leaders. We'll look for you to bring your diverse perspectives, deep technical expertise, and scientific rigor to make Amazon Advertising even better for our advertisers and customers. With global opportunities for talented scientists and science leaders, you can decide where a career in Amazon Ads Science takes you!<br>
<br>
We are kicking off a new initiative within SPB to leverage agentic AI solutions to revolutionize how advertisers create, manage, and optimize their advertising campaigns. This is a unique opportunity to lead a business-critical applied science initiative from its inception&mdash;defining the scientific charter, establishing foundational research pillars, and building a multi-year science roadmap for transformative impact. As the single-threaded applied science leader, you will build and guide a dedicated team of applied scientists, research scientists, and machine learning engineers, working closely with cross-functional engineering and product partners, to research, develop, and deploy agentic AI systems that fundamentally reimagine the advertiser journey.<br>
<br>
Your charter will begin with advancing the science behind intelligent agents that simplify campaign creation, automate optimization decisions through autonomous reasoning and planning, and deliver personalized advertising strategies at scale. You will pioneer novel approaches in areas such as LLM-based agent architectures, multi-step planning and tool use, retrieval-augmented generation, reinforcement learning from human and business feedback, and robust evaluation methodologies for agentic systems. You will expand to proactively identify and tackle the next generation of AI-powered advertising experiences across the entire SPB portfolio. This high-visibility role places you as the science leader driving our strategy to democratize advertising success&mdash;making it effortless for advertisers of all sizes to achieve their business goals while delivering relevant experiences for Amazon customers.<br>
<br>
Key job responsibilities<br>
Build, mentor, and lead a new, high-performing applied science organization of applied scientists, research scientists, and engineers, fostering a culture of scientific excellence, innovation, customer obsession, and ownership.<br>
<br>
Define, own, and drive the long-term scientific and product vision and research strategy for agentic AI-powered advertising experiences across Sponsored Products and Brands&mdash;identifying the highest-impact research problems and charting a path from exploration to production.<br>
<br>
Lead the research, design, and development of novel agentic AI models and systems&mdash;including LLM-based agent architectures, multi-agent orchestration, planning and reasoning frameworks, tool-use mechanisms, and retrieval-augmented generation pipelines&mdash;that deliver measurable value for advertisers and create delightful, intuitive experiences.<br>
<br>
Establish rigorous scientific methodology and evaluation frameworks for assessing agent performance, reliability, safety, and advertiser outcomes, setting a high bar for experimentation, reproducibility, and offline-to-online consistency.<br>
<br>
Partner closely with senior business, engineering, and product leaders across Amazon Advertising to translate advertiser pain points and business opportunities into well-defined science problems, and deliver cohesive, production-ready solutions that drive advertiser success.<br>
<br>
Drive execution from research to production at scale, ensuring models and agentic systems meet high standards for quality, robustness, latency, safety, and reliability for mission-critical advertising services operating at Amazon scale.<br>
<br>
Champion a culture of scientific inquiry and technical depth that encourages bold experimentation, publication of novel research, relentless simplification, and continuous improvement.<br>
<br>
Communicate your team's scientific vision, research breakthroughs, strategy, and progress to senior leadership and key stakeholders, ensuring alignment with broader Amazon Advertising objectives and contributing to Amazon's position at the forefront of applied AI.<br>
<br>
Develop a science roadmap directly tied to advertiser outcomes, revenue growth, and business plans, delivering on commitments for high-impact research and modeling initiatives that shape the future of AI-powered digital advertising.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field, or equivalent combination of M.S. and relevant experience.<br>
<br>
10+ years experience in applied science, machine learning, GenAI/LLMs or AI research, with a strong track record of developing and deploying models and systems into production at scale.<br>
<br>
5+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
<br>
Deep hands-on expertise in one or more of the following: large language models (LLMs), natural language processing, deep learning, reinforcement learning, or multi-agent systems.<br>
<br>
Experience partnering with engineering, product, and program management teams to translate scientific research into customer-facing products and measurable business outcomes.<br>
<br>
Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and programming languages commonly used in ML research and production (e.g., Python, Scala, Java).</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Direct experience building or leading research and development of agentic AI systems, including LLM-based autonomous agents, multi-step planning and reasoning, tool use, and multi-agent orchestration.<br>
<br>
Experience with large-scale LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and alignment techniques.<br>
<br>
8+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
<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><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, Palo Alto - 251,600.00 - 340,300.00 USD annually<br>
USA, NY, New York - 240,600.00 - 325,500.00 USD annually<br>
USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually</div><p></p>

Sr. Applied Science Manager, Agentic AI Ads, Sponsored Products and Brands

Explore 68+ Product data science intern in Seattle this March. Find roles across top companies and apply now to boost your career.