aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

machine learning engineer Jobs in Seattle

machine learning engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

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

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

machine learning intern

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
<br><div><p><b>What you can expect</b></p><p>
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.</p><p></p><p><b>
About the Team</b></p><p>
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li><p>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</p></li>
<li><p>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</p></li>
<li><p>
Implementing safety mechanisms and oversight protocols for autonomous systems.</p></li>
<li><p>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</p></li>
<li><p>
Building robust testing frameworks for agent behavior validation.</p></li>
</ul><p></p><p><b>
What we&rsquo;re looking for:</b></p><ul>
<li><p>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</p></li>
<li><p>
Have 5+ years of experience in ML engineering</p></li>
<li><p>
Exhibit expertise in NLP and transformer architectures</p></li>
<li><p>
Core stack: Python, Java, C++, or other programming languages for ML development.</p></li>
<li><p>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</p></li>
<li><p>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</p></li>
<li><p>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</p></li>
</ul><p></p><p><b>
Salary Range or On Target Earnings:</b></p><p></p><p>
Minimum:</p>
$137,700.00<p></p><p>
Maximum:</p>
$275,400.00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.</p><p></p><p><b>
Ways of Working</b><br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p><b>
Benefits</b><br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p><b>
About Us</b><br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><b><br>
Our Commitment
</b></p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p></p><p>
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.</p><p></p><p>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p><p></p><p>
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application &ndash; take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.</p><p></p><p>
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</p></div><p></p>

Machine Learning Engineer

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
<br><div><p><b>What you can expect</b></p><p>
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
</p><p></p><p><b>About the Team</b></p><p>
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li><p>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</p></li>
<li><p>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</p></li>
<li><p>
Implementing safety mechanisms and oversight protocols for autonomous systems.</p></li>
<li><p>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</p></li>
<li><p>
Building robust testing frameworks for agent behavior validation.</p></li>
</ul><p></p><p><b>
What we&rsquo;re looking for:</b></p><ul>
<li><p>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</p></li>
<li><p>
Have 5+ years of experience in ML engineering</p></li>
<li><p>
Exhibit expertise in NLP and transformer architectures</p></li>
<li><p>
Core stack: Python, Java, C++, or other programming languages for ML development.</p></li>
<li><p>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</p></li>
<li><p>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</p></li>
<li><p>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</p></li>
</ul><p></p><p><b>
Salary Range or On Target Earnings:</b></p><p></p><p>
Minimum:</p>
$137,700.00<p></p><p>
Maximum:</p>
$275,400.00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations</p><p>
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Anticipated Position Close Date:</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
07/24/26<p></p><p><b>
Ways of Working</b><br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p><b>
Benefits</b><br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p><b>
About Us</b><br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><b><br>
Our Commitment
</b></p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p><br>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p><p></p><p>
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</p></div><p></p>

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems.<br>
<br>
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput.<br>
<br>
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation.<br>
<br>
Key job responsibilities<br>
<ul><li>Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented</li><li>Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production</li><li>Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization</li><li>Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible</li><li>Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments</li><li>Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone</li><li>Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities</li><li>Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality</li><li>Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations</li><li>Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver</li><li>Write clear narratives and documentation describing scientific solutions and design choices</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>5+ years of building machine learning models or developing algorithms for business application experience</li><li>Experience delivering products to volume production</li><li>PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings</li><li>Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling</li><li>Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines</li><li>Demonstrated technical contributions through publications, patents, or impactful production systems</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ years of experience in applied science or research with progressive scope and impact</li><li>Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control</li><li>Experience with Theory of Constraints or flow-based production optimization</li><li>Experience with real-time decision systems that operate under uncertainty</li><li>Experience with sim-to-real transfer or physics-informed machine learning</li><li>Experience with AWS services including SageMaker, and familiarity with MLOps practices</li><li>Experience with AI-native development practices and AI coding assistants</li><li>Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, Industrial Robotics Group

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We're looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect AI-powered agentic solutions that help candidates navigate Amazon's hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.</li></ul><br>
<ul><li>Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.</li></ul><br>
<ul><li>Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes&mdash;continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.</li></ul><br>
<ul><li>Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon's candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.</li></ul><br>
<ul><li>Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.</li></ul><br>
About the team<br>
<br>
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data, and technology&mdash;solving fascinating problems that directly impact how we hire the best talent globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Recruiting Agents and Candidate Voice team is revolutionizing how Amazon finds and connects with talent worldwide! We're looking for an experienced Applied Scientist to design and implement agentic solutions that help millions of candidates find their dream jobs at Amazon.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect AI-powered agentic solutions that help candidates navigate Amazon's hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability.</li></ul><br>
<ul><li>Implement and deploy conversational AI agents leveraging state-of-the-art LLM and GenAI technologies to enable candidates to explore job opportunities, understand role requirements, and receive personalized guidance throughout their hiring journey.</li></ul><br>
<ul><li>Develop rigorous evaluation frameworks to measure agent effectiveness, candidate satisfaction, and hiring outcomes&mdash;continuously iterating on models to improve accuracy, fairness, and user experience across millions of candidate interactions.</li></ul><br>
<ul><li>Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon's candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.</li></ul><br>
<ul><li>Drive innovation in agentic AI research by staying current with advances in NLP, LLMs, and autonomous agent architectures, while contributing to the scientific community through publications, internal tech talks, and knowledge sharing.</li></ul><br>
About the team<br>
<br>
Our team focuses on understanding and improving the experience of both job seekers and the recruiters who support them. You'll be at the intersection of people, data, and technology&mdash;solving fascinating problems that directly impact how we hire the best talent globally.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience applying theoretical models in an applied environment</li><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</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 II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Outreach

<div>
 <strong>
  About Outreach
  <br/>
  <br/>
 </strong>
 Outreach, founded in 2014, is the only complete
 <strong>
  agentic AI
 </strong>
 platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data. As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies. This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.
 <br/>
 <br/>
 <strong>
  Our Vision Of You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of professional software development experience
  </li>
  <li>
   You have experience with shipping at least 1 major feature into production
  </li>
  <li>
   You are passionate about using analytics to drive the understanding, growth, and success of a product
  </li>
  <li>
   You are hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills. You have a bias for using the right tools to get a job done with maximum efficiency.
  </li>
  <li>
   You have experience making tradeoffs between speed and accuracy
  </li>
  <li>
   Proficiency in a modern language such as golang, Java, Python, C#, etc
  </li>
  <li>
   You have proficiency in at least one of the SQL languages (MSSQL, MYSQL, Postgres, etc)
  </li>
  <li>
   You go above and beyond to help your team
  </li>
  <li>
   You are honest, admit mistakes, and own fixing them
  </li>
  <li>
   Comfortable working directly with data analytics to bridge business requirements with data engineering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hands-on experience with AI coding assistants, AI-based testing tools, and automation frameworks used in modern software engineering.
  </li>
  <li>
   Strong knowledge of development workflows including planning, coding, testing, CI/CD, and deployment.
  </li>
  <li>
   Experience with modern cloud environments and AI infrastructure (AWS, Azure, or GCP).
  </li>
  <li>
   Understanding of how to connect AI systems with enterprise data sources (documentation systems, code repositories, ticketing systems).
  </li>
  <li>
   Ability to identify opportunities where AI can accelerate development processes.
  </li>
  <li>
   Knowledge of responsible AI usage, data privacy, and model governance in enterprise environments.
  </li>
  <li>
   Experience in large scale distributed data systems
  </li>
  <li>
   Experience collaborating with data scientists
  </li>
  <li>
   Experience working in a start-up or building a product in a new category
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why You&rsquo;ll Love It Here
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible time off
  </li>
  <li>
   401k to help you save for the future
  </li>
  <li>
   Generous medical, dental, and vision coverage for full-time employees and their dependents
  </li>
  <li>
   A parental leave program that includes options for a paid night nurse, and a gradual return to work
  </li>
  <li>
   Infertility/ assisted reproductive services benefit
  </li>
  <li>
   Employee referral bonuses to encourage the addition of great new people to the team
  </li>
  <li>
   Snacks and beverages in the Office, along with fun events to celebrate
  </li>
  <li>
   Diversity and inclusion programs that promote employee resource groups like Outreach Women's Network, Latinx community, Outreach Black Connection, AAPI community, Pride/LGBTQIA+, Gender+, Disability Community, and Veterans/Military
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Outreach is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
   <br/>
   <br/>
  </strong>
 </em>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
 <br/>
 <br/>
 The annual base salary range for this role is $130,000-$150,000 USD. You may also be offered incentive compensation, bonus, restricted stock units, and benefits. Actual compensation is based on factors such as the your skills, qualifications, and experience. We also have a location-based compensation structure; there may be a different range for candidates in other locations.
</div>


Software Engineer, Analytics Platform

Weyerhaeuser

<div></div><div><div><b>Description</b><div></div><p>
At Weyerhaeuser, we are the world&rsquo;s premier timber, land, and forest products company. Sustainability is the founding concept of our business, and our values drive every decision to ensure we continue to lead the forestry industry in sustainability practices. And we know about sustainability &ndash; we led it in the forestry industry when we planted our first seedling by hand in 1938. We recognize that our success is dependent on the success of our people. For over 100 years, our Weyerhaeuser team has been making a difference in the world &ndash; from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience, and pride. That&rsquo;s the Weyerhaeuser way.</p><p>
Our IT team is on a mission to transform the timber industry. We&rsquo;re leveraging AI to implement technology that will keep us at the forefront of innovation in the forest products industry. Join our team and be a key partner to help us shape our digital future in this space. This role will help expand our strategic technical direction and implement solutions that enable business strategies. If you want to be part of a world-class technology team changing the world we live in &ndash; come grow with us!</p><p>
We are seeking a highly skilled and experienced IT Program Manager to join our team. As an IT Program Manager, you will play a pivotal role in driving transformational projects and collaborating with cross-functional teams to deliver results. If you are a motivated, proactive leader with a passion for driving transformational change in various technological domains, we invite you to apply for this exciting opportunity.</p><p><b>
Job Responsibilities</b></p><ul><li><p><b>
Project and Program Leadership:</b> Lead and manage moderate to complex IT programs and projects in the AI space from initiation to completion. Take ownership and accountability for project delivery, ensuring adherence to timelines, budgets, and quality standards. Serve as the primary point of contact for all project-related activities. Develop a program plan that outlines the scope, timelines, resource requirements, and interdependencies among projects.</p></li><li><p><b>
Planning and Execution: </b>Develop comprehensive project and program plans, including timelines, milestones, resource allocation, and risk management strategies. Coordinate project activities, track progress, and manage project risks and issues. Implement effective project management methodologies and best practices (experience with agile, waterfall, and hybrid). Oversee the execution of project tasks, ensuring adherence to the project plan and timelines. Monitor progress, track milestones, and resolve any issues or roadblocks that may arise during project implementation.</p></li><li><p><b>
Project/Program Team Management</b>: Assemble and lead a project/program team, assigning roles and responsibilities to team members. Provide direction, guidance, support, and motivation to ensure effective teamwork and collaboration.</p></li><li><p><b>
Stakeholder Management and Communications:</b> Establish and maintain relationships with key stakeholders, including executives, sponsors, project managers, external partners, and team members. Manage expectations, solve problems, escalate issues, and drive decisions. Create and help execute comprehensive change management strategies and communication plans.</p></li><li><p><b>
Program/Project Governance:</b> Establish program/project governance structures, processes, and frameworks to ensure effective decision-making, risk management, and reporting, including regular progress reporting, milestone tracking, and program status updates. Define roles and responsibilities for program governance committees and project teams.</p></li><li><p><b>
Resource Management</b>: Allocate and manage resources across projects within the program. Optimize resource utilization, address conflicts, and monitor resource availability to ensure project success. Collaborate with Resource Managers to secure resources for your project.</p></li><li><p><b>
Budget Management</b>: Establish project budgets, track project spending and reforecast spending regularly throughout project lifecycle.</p></li><li><p><b>
Risk and Issue Management</b>: Identify, assess, and manage risks and issues across the program. Develop mitigation strategies, contingency plans, and escalation procedures to minimize potential disruptions and address challenges. Maintain RAID log.</p></li><li><p><b>
Monitoring and Control:</b> Implement processes to monitor and control project progress, milestones, scope, schedule, budget, and deliverables. Regularly assess project and program performance, track key performance indicators (KPIs), and provide status reports to stakeholders.</p></li><li><p><b>
Change Control:</b> Manage changes within the program, including changes in scope, requirements, or timelines. Evaluate change requests, assess their impact on the program, document change decisions, and communicate changes effectively to stakeholders.</p></li><li><p><b>
Quality Assurance</b>: Define and implement quality standards, processes, and metrics to ensure high-quality deliverables. Conduct project / program audits and reviews to identify areas for improvement.</p></li><li><p><b>
Vendor Management</b>: Manage relationships with external vendors and contractors, including contract negotiation, performance monitoring, and issue resolution.</p></li><li><p><b>
Continuous Improvement:</b> Identify areas for improvement based on lessons learned from completed projects. Foster a culture of continuous improvement, encouraging innovation, process enhancements, and lessons learned to drive operational excellence.</p></li></ul></div><div><b>
Qualifications</b><div></div><p><b>
Must Have Qualifications</b></p><ul><li><p><b>
Education</b>: Bachelor&rsquo;s degree and/or equivalent work experience noted below</p></li><li><p><b>
Experience</b>: 8+ years of progressive, relevant experience in an IT Program Manager role is required. Deep experience managing moderately complex IT projects from beginning to end, meeting budget, scope, schedule, and benefits targets.</p></li><li><p>
Strong leadership and team management skills, with the ability to influence and motivate cross-functional teams is required.</p></li><li><p>
Excellent communication and stakeholder management skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences at all levels is required.</p></li><li><p>
SAFe (Scaled Agile Framework) certification and/or Certified ScrumMaster Certification (CSM) is required.</p></li><li><p>
Experience managing AI and Machine Learning delivery projects is required.</p></li><li><p>
Generative AI practitioner with experience building generative AI systems required.</p></li></ul><p><b>
Additional Qualifications</b></p><ul><li><p>
Expert in all aspects of project management including accountability for business case development, end-to-end financial and cost analysis, risk management, and organizational change management.</p></li><li><p>
Proficient ability to manage programs involving multiple projects including resource management, generating program-level metrics, program portfolio governance and prioritization.</p></li><li><p>
PMP (Project Management Professional) or PgPM (Program Management Professional) certification from the Project Management Institute (PMI) is highly desirable.</p></li><p></p><li><p><br>
In-depth knowledge and hands on experience with project management methodologies (e.g., Agile, Waterfall, hybrid), as well as relevant industry standards, best practices.</p></li><p></p><li><p><br>
Experience with industry standard project management tools (MS project, Smartsheet, Azure DevOps) is required.</p></li><p></p><li><p><br>
Proven ability to plan and execute the work in agile sprints while providing full transparency into the progress to complete the agreed upon project scope in alignment with project level milestones and deliverables is required.</p></li><li><p>
Solid understanding of IT infrastructure, systems development life cycle (SDLC), and enterprise software implementations is required.</p></li><li><p>
Enthusiastic team player with a willingness to learn and grow in a dynamic environment.</p></li></ul><p><b>
What We Offer:</b></p><p><b>
Compensation</b>: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $119,088 - $178,774 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 20% of base pay. Potential plan funding may range from zero to two times that target.</p><p><b>
Benefits</b>: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career.</p><p><b>
Retirement</b>: Employees are able to enroll in our company&rsquo;s 401k plan, which includes a paid company match in addition to our contribution equal to 5% of your eligible pay.</p><p><b>
Paid Time Off or Vacation</b>: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees.</p><p><b>
Attention Internal Applicants</b>: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: wy.com/applicants</p><p><i>
Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.</i></p></div><div><b>
Job</b> Information Technology</div><div><b>
Primary Location</b>USA-WA-Seattle</div><div><b>
Schedule</b> Full-time</div><div><b>
Job Level</b> Individual Contributor</div><div><b>
Job Type</b> Experienced</div><div><b>
Shift</b> Day (1st)</div></div>

IT Program Manager - AI

Explore 46+ Machine learning intern in Seattle this July. Find roles across top companies and apply now to boost your career.

46 machine learning intern jobs In Seattle

Machine Learning Engineer

Machine Learning Engineer

Senior Applied Scientist, Industrial Robotics Group

Applied Scientist III- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Software Engineer, Analytics Platform

IT Program Manager - AI