applied scientist ii, prime video personalization and discovery science Jobs in Seattle

applied scientist ii, prime video personalization and discovery science

associate project engineer Jobs in Seattle

associate project engineer

senior applied scientist, agentic advertiser guidance, sponsored products, agentic advertiser guidance Jobs in Seattle

senior applied scientist, agentic advertiser guidance, sponsored products, agentic advertiser guidance

senior applied scientist, agentic ai, aws agentic ai Jobs in Seattle

senior applied scientist, agentic ai, aws agentic ai

senior applied scientist, artificial general intelligence Jobs in Seattle

senior applied scientist, artificial general intelligence

senior applied scientist artificial general

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.<br>
<br>
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li><li>Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with popular deep learning frameworks such as MxNet and Tensor Flow.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At Amazon, we're committed to pioneering new frontiers in customer experience, and Mosaic is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion and fitness products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in LLM, forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space and build Gen AI tools that scale our science solutions.<br>
<br>
Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like &ldquo;What is driving this customer behavior?&rdquo; and &ldquo;What are signs that customer behavior is likely to change in the near future?&rdquo;.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Fashion & Fitness Data Science, Engineering Analytics Research and Science (EARS)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!<br>
<br>
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.<br>
<br>
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance</li><li>Drive alignment across teams for science, engineering, and product strategy to achieve business goals.</li><li>Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers</li><li>Develop state of the art experimental approaches and ML models.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Agentic Advertiser Guidance, Sponsored Products, Agentic Advertiser Guidance

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Come join the AWS AI science team in building the next generation models for intelligent automation.<br>
<br>
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.<br>
<br>
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.<br>
<br>
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Agentic AI, AWS Agentic AI

<p></p><div><div><p>DESCRIPTION</p><div>
Are you looking for that next big Finance opportunity, a business partnering role with full P&amp;L responsibility? Join AWS Applied AI Solutions Core Services Finance team to help shape the financial foundation of technologies that put AI to work and revolutionize industries&mdash;an opportunity to create history through financial leadership that transforms business!
<br>
Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprises, governments and start-up businesses and organizations in over 190 countries around the world.
<br>
At Applied AI Solutions, we harness Amazon's operational expertise to become the trusted partner businesses count on every day, transforming how companies work through AI to elevate customer experiences, drive operational excellence, and accelerate success&mdash;creating a future where businesses thrive with technology they truly love and trust.
<br>
AWS Finance is seeking a Sr Financial Analyst to partner with leadership in the AWS Applied AI Solutions Core Services portfolio. This role provides strategic financial leadership across established and emerging services, driving pricing strategy, revenue growth, cost optimization, and financial planning.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
Strategic Financial Leadership<br>
<ul><li>Partner with business leaders to co-create business strategies, develop financial models, and derive actionable insights.</li><li>Lead development and implementation of the long-range strategic plan, annual plan, and quarterly forecasts</li><li>Leverage data-driven insights and analytics to influence executive decision-making to drive revenue growth and promote cost discipline</li><li>Foster a culture of thought leadership within the team to drive the business towards long-term profitability objectives
</li></ul>Pricing Strategy<br>
<ul><li>Design data-driven pricing strategies that optimize market competitiveness and profit margins</li><li>Drive financials for Private Purchase Agreements, securing favorable terms and conditions</li><li>Conduct comprehensive scenario analysis across pricing models to identify risk exposure and strategic opportunities
</li></ul>Financial Planning and Analysis<br>
<ul><li>Lead FP&amp;A activities, building models to measure financial performance</li><li>Develop forecasts and present insights to senior leadership</li><li>Support revenue modeling and cost savings initiatives</li><li>Evaluate new business opportunities with financial analysis
</li></ul>Controllership<br>
<ul><li>Deliver precise, insight-driven financial reports that enable informed executive decision-making</li><li>Maintain rigorous financial controls and reporting standards to ensure data integrity and compliance</li><li>Drive process optimization to enhance analytical capabilities while preserving control frameworks</li><li>Foster cross-functional collaboration to align diverse teams toward strategic objectives</li></ul><br>
About the team<br>
AWS Applied AI Solutions Core Services Finance unites exceptional financial talent to drive the future of Agentic AI. As strategic partners to the Core Services organization, we enable their mission to become the trusted technology provider for Applied AI solutions.</div></div><div><p>
BASIC QUALIFICATIONS</p><ul><li>3+ years of tax, finance or a related analytical field experience</li><li>Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 3+ years of quantitative role (engineering, process re-engineering, quality assurance) experience</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience</li><li>MBA, or CPA</li><li>Knowledge of Tableau</li><li>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</li><li>4+ years of applying key financial performance indicators (KPIs) to analyses experience</li><li>4+ years of creating process improvements with automation and analysis experience</li><li>4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience</li><li>Six Sigma Black Belt</li><li>Experience with advanced use of SQL for data mining and business intelligence</li><li>Experience as a lean sensei, or experience working as a Quality Assurance Engineer</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $60,200/year in our lowest geographic market up to $128,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Seattle</div></p></div><div><p><div>
Finance and Global Business Services</div></p></div></ul></div>

Sr. Financial Analyst, AWS Finance, AWS Applied AI Solutions Core Services Finance

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The ChatGPT for Work team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 <br/>
 <br/>
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 You will help build and deploy our ChatGPT for Work product. We shipped ChatGPT for Work in August last year, and we&rsquo;re humbled and excited by the reception &ndash; a recent study found that ChatGPT can drive up to 30% more productivity in knowledge work.
 <br/>
 <br/>
 We&rsquo;re looking for experienced engineers, who are excited by the three components of shipping the best enterprise product:
 <br/>
 <br/>
 <ul>
  <li>
   Building a secure, governable, scalable foundation that earns the trust of our customers
  </li>
  <li>
   Packaging the magic of OpenAI in a way that resonates with enterprise buyers
  </li>
  <li>
   Shipping 0-1 products that give users 10x abilities in specific enterprise domains
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
  </li>
  <li>
   Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems
  </li>
  <li>
   Like all other teams, we are responsible for the reliability of the systems we build. This includes an on-call rotation to respond to critical incidents as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Thrive In This Role If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale
  </li>
  <li>
   Care deeply about the end user experience and take pride in building products to solve customer needs
  </li>
  <li>
   Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
  </li>
  <li>
   Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
  </li>
  <li>
   Build tools to accelerate your own (and your teammates&rsquo;) workflows, but only when off-the-shelf solutions won&rsquo;t do
  </li>
  <li>
   Have been a startup founder or an early-stage engineer
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 <br/>
 <br/>
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 <br/>
 <br/>
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>


Software Engineer, Backend

Qualtrics

<div><p>At Qualtrics, we create software the world&rsquo;s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform&mdash;we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention&mdash;but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.</p>
<p>
When you join one of our teams, you&rsquo;ll be part of a nimble group that&rsquo;s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won&rsquo;t have to look to find growth opportunities&mdash;ready or not, they&rsquo;ll find you. From retail to government to healthcare, we&rsquo;re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that&rsquo;s work worth doing.</p>
<p><b>
Machine Learning Engineer - CFA, Seattle</b></p>
<p><b>
Why We Have This Role</b></p>
<ul>
<li>We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&amp;D strategy to the next level through AI Agent.</li>
<li>Our goal is to extend our Experience Management capabilities into &ldquo;close the loop&rdquo; and personal concierge use cases - powered by Experience Agent.</li>
<li>You should love building simple solutions to solve hard customer problems.</li>
<li>Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!</li>
</ul>
<p><b>How You&rsquo;ll Find Success</b></p>
<ul>
<li>Work in a supportive environment enables individual growth and achievement of team goals</li>
<li>Collaborate with your peers, prioritize feature development</li>
<li>Work with a sense of urgency to deliver value to our customers</li>
<li>Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models</li>
<li>Implement new features and optimize existing ones to delight our customers</li>
</ul>
<p><b>How You&rsquo;ll Grow</b></p>
<ul>
<li>Qualtrics is a fast paced, dynamic environment where you will have the opportunity to build on and expand your experience through working on high impact projects</li>
<li>Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business</li>
<li>Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.</li>
<li>You will work alongside like minded and driven technical professionals.</li>
</ul>
<p><b>Things You&rsquo;ll Do</b></p>
<ul>
<li>Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers</li>
<li>Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity</li>
<li>Attend daily stand-up meetings, collaborate with your peers, prioritize features</li>
<li>Work with a sense of urgency to deliver value to your customers</li>
<li>Finding quick ways to prototype and test possible solutions to large problems</li>
</ul>
<p><b>What We&rsquo;re Looking For On Your Resume</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science or related fields.</li>
<li>3-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.</li>
<li>Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance</li>
<li>Experience in programming with at least one modern programming language such as Python, including object-oriented design</li>
<li>Experience with applied machine learning models and large-scale ML systems</li>
<li>Experience with Agent frameworks such as LangChain, Autogen etc is a plus.</li>
</ul>
<p><b>What You Should Know About This Team</b></p>
<ul>
<li>This team uses AI/ML research and development services for all product lines.</li>
<li>This team builds core machine learning infrastructure and services.</li>
<li>You will get the opportunity to work with other teams, and projects on a regular basis.</li>
<li>The scale of the problems we are solving means your impact will scale as well.</li>
</ul>
<p><b>Our Team&rsquo;s Favorite Perks and Benefits</b></p>
<ul>
<li>$1800 Experience bonus to be used for an &ldquo;Experience&rdquo; of your choosing</li>
<li>Unlimited Sick Days</li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women&rsquo;s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<p><b>The Qualtrics Hybrid Work Model:</b> Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.</p>
<p><i>
Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.</i></p>
<p><i>
Applicants in the United States of America have rights under Federal Employment Laws:</i><i>Family &amp; Medical Leave Act</i><i>,</i><i>Equal Opportunity Employment</i><i>,</i><i>Employee Polygraph Protection Act</i></p>
<p><i>
Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.</i></p>
<p><i>
Not finding a role that&rsquo;s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.</i></p><p></p><div><div><div><p><i><br>
For full-time positions</i>, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.</p></div><div>
Washington State Annual Pay Transparency Range</div><div>
$138,500&mdash;$206,000 USD</div></div></div></div>

Machine Learning Engineer - CFA, Seattle

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