data scientist, aws infrastructure services science

sr software engineer, aws applied ai solution – core services

account manager - strategic communications (social impact/global health)

data engineer, data and science Jobs in Seattle

data engineer, data and science

data scientist

data scientist - remote

data scientist, aws infrastructure services science Jobs in Seattle

design engineer

data engineer

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

Amazon.com

<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

Opendoor

<div>
 <strong>
  Data Scientist, Pricing
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Location: In office 4 days a week
  </strong>
  ; Seattle WA.
  <br/>
  <br/>
 </em>
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 <br/>
 <br/>
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain pricing metrics, dashboards, and frameworks.
  </li>
  <li>
   Run experiments and causal analyses to measure impact and drive decisions.
  </li>
  <li>
   Develop predictive + statistical models that improve pricing accuracy.
  </li>
  <li>
   Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
  </li>
  <li>
   Deliver insights and narratives that inform executive strategy.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Qualifications
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
  </li>
  <li>
   Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
  </li>
  <li>
   Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
  </li>
  <li>
   Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
  </li>
  <li>
   Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
  </li>
  <li>
   High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
  </li>
  <li>
   Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Base salary range for this role varies. Generally, the base salary range is $170,400 &ndash; $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
  <br/>
  <br/>
 </em>
 JR 9200
 <br/>
 <br/>
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 <br/>
 <br/>
</div>


Data Scientist

YO IT Consulting

<div>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Leading AI lab to engage independent
 <strong>
  Data Science Experts
 </strong>
 for diverse research and development initiatives. These contractors will support data‑driven model improvement, performance evaluation, and applied experimentation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze large datasets to extract insights that inform model design and refinement.
  </li>
  <li>
   Develop and apply statistical models, machine learning techniques, and evaluation frameworks.
  </li>
  <li>
   Conduct performance assessments and data quality reviews on AI model outputs.
  </li>
  <li>
   Build reusable tools for data processing, visualization, and reporting.
  </li>
  <li>
   Partner with research teams to test hypotheses and scale experimental workflows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data science, machine learning, or a related analytical field.
  </li>
  <li>
   Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
  </li>
  <li>
   Familiarity with large-scale data environments and version-controlled workflows.
  </li>
  <li>
   Strong command of statistical analysis, experimental design, and model validation.
  </li>
  <li>
   Clear written communication and comfort collaborating across technical teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  More About The Opportunity
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expected commitment: 10+ hours/week.
  </li>
  <li>
   Exposure to high-impact AI research and applied experimentation.
   <br/>
   <br/>
  </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 <br/>
 <br/>
 <strong>
  Contract and Payment Terms
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be engaged as an independent contractor.
  </li>
  <li>
   This is a fully remote role that can be completed on your own schedule.
  </li>
  <li>
   Projects can be extended, shortened, or concluded early depending on needs and performance.
  </li>
 </ul>
</div>


Data Scientist - Remote

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><h2 class="jobSectionHeader"><b>About the Team
</b></h2><p>Slack is looking for experienced engineers to join its Core Infrastructure organization to help design, develop, and maintain the information retrieval infrastructure that supports Slack Search and many other product experiences. This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages channels, people, files, and other business units within their workspaces. It is also of central importance to our efforts around generative AI, helping build products that are advised by the full wealth of knowledge in your company. We are seeking candidates who can continue to evolve our systems to be reliable, performant, scalable, and secure while helping push us to the cutting edge of search technology, incorporating the latest and greatest developments in the realm of information retrieval.
</p><p></p><p>We build our infrastructure using reliable tools that our team knows and trusts, including Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Expertise in these areas is a huge plus, but experience building and maintaining robust distributed systems for search, using other common languages and cloud technologies is a fine substitute. We&rsquo;re a collaborative team who genuinely enjoys working together. You&rsquo;ll be working closely with other infrastructure engineers and machine learning engineers to develop our infrastructure, and collaborating closely with product engineers and managers to make our infrastructure support the needs of our users.
<br>
Slack has a positive, diverse, and supportive culture&mdash;we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative.<br>
<br>
</p><h2 class="jobSectionHeader"><b>What you will be doing:
</b></h2><ul><li>Design and develop scalable, resilient offline indexing pipelines that process and transform data for Slack's search infrastructure
</li><li>Work with product engineering to conceptualize and build new features for our large (and growing!) user base.
</li><li>Collaborate with team members to ensure high availability and reliability of a distributed search system.
</li><li>You&rsquo;ll produce high-quality results by contributing heavily to team projects that have a significant impact on the business.
</li><li>You&rsquo;ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
</li><li>Deploy, configure, test, troubleshoot, maintain, upgrade Solr clusters and environments.
</li><li>Plan resources and continuously optimize the infrastructure and configuration of our Solr clusters to maintain cluster health and search performance.
</li><li>You'll assist our skilled support team and operations team in triaging and resolving production issues.
</li><li>You'll collaborate with other engineers and deeply review code.
</li><li>You&rsquo;ll improve engineering standards, tooling, and processes.
</li></ul><p></p><p><b>You may be a fit for this role if you:
</b></p><ul><li><b>3+ years of experience
</b></li><li>Have worked extensively with distributed data processing frameworks such as Spark, Hadoop, Map/Reduce, or EMR
</li><li>Have worked with Solr, ElasticSearch, Lucene, or other search technology.
</li><li>Have had exposure to infrastructure/ops tools and frameworks such as Terraform, Chef, and Kubernetes
</li><li>You hare proficient with functional or imperative programming languages &mdash; e.g., PHP, Python, Ruby, Go, C, or Java.
</li><li>Track record of developing high-availability, performant, and scalable systems accessing large volumes of data over multiple clusters across different geographical regions
</li><li>Have experience planning, implementing, and deploying software migrations and upgrades in a production environment
</li><li>You can contribute to technical architecture discussions and help drive technical decisions within your team.
</li><li>You write understandable, testable code with an eye towards maintainability.
</li><li>You are a strong communicator. Explaining complex technical concepts to designers, support, and other engineers is no problem for you.
</li><li>You possess computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
</li><li>Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience required.
</li></ul><h2 class="jobSectionHeader"><b>Bonus Points:
</b></h2><ul><li>You&rsquo;ve built large-scale data pipelines professionally and can craft clean and beautiful code in Java, Scala, and/or SQL, and you possess exposure to Hadoop/Spark as well.
</li><li>Experience around text mining and parsing
</li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $223,900 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Software Engineer, Search Data Infrastructure -Slack

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
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We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
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About the Role<br>
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Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products &ndash; systems that optimize revenue and detect fraud while serving millions of users in real-time.<br>
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From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
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Our team are based in San Francisco, CA and Seattle, WA<br>
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You Will<br>
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Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem<br>
Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale<br>
Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users<br>
Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences<br>
Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale<br>
Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows<br>
Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts<br>
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Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience</li><li>1+ years of professional software development experience with a focus on building scalable systems</li><li>Experience building production ML infrastructure, including model deployment, serving, and monitoring systems</li><li>Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies</li><li>A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements</li><li>Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)</li><li>Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond</li><li>Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines</li><li>Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions</li><li>Knowledge of real-time ML serving systems and model deployment at scale</li><li>Experience with fraud detection, recommendation systems, or monetization optimization</li><li>A passion for gaming, streaming, or the Twitch platform</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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>
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, SAN FRANCISCO - 127,100.00 - 185,000.00 USD annually<br>
USA, CA, San Francisco - 127,100.00 - 185,000.00 USD annually<br>
USA, WA, SEATTLE - 110,500.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually</div><p></p>

Software Engineer I, Monetization ML

<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>
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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>
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Are you interested in developing solutions that have big impact? Are you someone who likes to challenge the status quo and work on developing innovative product solutions? If you are a mechanical engineer and looking for an exciting career in cloud infrastructure, come join a team that constantly seeks ways to build things better &amp; faster for our customers.<br>
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AWS is looking for a Sr. Mechanical Engineer to become part of a global data center engineering team, responsible for the design and continuous innovation within our rapidly expanding data center footprint. This position can be based out of Seattle, Washington or Herndon, Virginia.<br>
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Our Senior Mechanical Engineers take full ownership to design resilient, cost effective mechanical systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We drive continuous advancements and improvements with our designs, and communicate technical direction to Sr. Management. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you have the ability to drive change and make a substantial impact in the systems our customers rely on.<br>
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At Amazon, team work is absolutely necessary for us to accomplish our goals. We work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including manufacturers, vendors, and contractors.<br>
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If you are a creative, smart and driven individual that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on multi-million-dollar designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost.<br>
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Key Functional Dimensions:<br>
<ul><li>Work in a cross-disciplinary setting with ability to influence and drive others.</li><li>Work has deep and far-reaching impact on overall product design/solutions</li><li>Advises peer engineers and management team.</li><li>Deep-dive and perform root cause analysis.</li><li>Make technical trade-offs between short-term project goals and long-term business needs.</li><li>Develop integrated systems extending the life of data center infrastructure products.</li><li>Simplify, optimize and lower costs of data center mechanical and associated sub components.</li></ul><br>
Key job responsibilities<br>
<ul><li>Define and design liquid cooling equipment and related infrastructure.</li><li>Collaborate with internal and external ecosystem partners to design and develop new data center product solutions.</li><li>Support field engineering and data center operation teams for performing root cause analysis and implementation of corrective actions.</li><li>Leverage economy of scale through standardization and modularization of data center products.</li><li>Maintain and develop technical design procedures associated with piping and pipe support analysis activities.</li><li>Provide technical subject matter expertise to peers, senior management and partner teams.</li><li>Develop business justification and narratives to promote new concepts and ideas.</li><li>Lead key initiatives for the organization while demonstrating ownership.</li><li>Work with global suppliers and manufacturers to specify appropriate mechanical and associated sub components.</li><li>Provide product design support to other team members.</li><li>Writing functional specifications, design verification plans, and functional test procedures.</li><li>Ability and willingness to travel domestic and internationally for up to 25% of the year.</li></ul><br>
About the team<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>
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*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>
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*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>
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*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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
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*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>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Engineering or a related field</li><li>6+ years of data center design, construction, operations, or facility maintenance experience</li><li>6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Knowledge of critical data center mechanical and electrical equipment</li><li>Experience in data center design, construction, operations, or facility maintenance</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</li><li>Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</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 - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Senior Mechanical Product Engineer, Data Center Eng, Mechanical Products and Services

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