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senior data scientist ai foundations

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>9/15/2025</p>
</div><div><p>Description</p>
<div>Senior Data Scientist, AI Foundations<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p><br>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.</p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Data Scientist, AI Foundations<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p><br>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One&rsquo;s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One&rsquo;s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.</p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.</li><li>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.</li><li>
Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.</li><li>
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.</li><li>
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.</li><li>
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics), or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
Experience working with AWS</li><li>
At least 2 years&rsquo; experience in Python, Scala, or R</li><li>
At least 2 years&rsquo; experience with machine learning</li><li>
At least 2 years&rsquo; experience with SQL
</li></ul><p>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science<br>
<p></p>
San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
145,100.00 - 165,600.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Data Scientist, AI Foundations

New York University

<div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Biology and Genomics
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 16, 2025
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Sep 20, 2025 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><div>The Ercan lab at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate.</div><br>
<div></div>
<div>
This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.</div><br>
<div></div>
<div>
Projects in the Ercan lab are in the research area of chromatin structure and gene regulation during development. Planned projects use <i>C. elegans</i> as a model organism and employ high-throughput functional genomic methods.</div><br>
<div></div>
<div>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $62,500. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><div>The ideal candidate will hold a PhD, have prior research experience using <i>C. elegans</i> and RNA-seq data analysis, and a track record of peer-reviewed publications.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><div>Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information.</div></div></div></div></div></div>

Postdoctoral Associate (Ercan Lab)

<div><div><div><div>New York University: NYU - NY: Arts and Science (A&amp;S): Biology and Genomics
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>New York, NY
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 08, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><div>The Li lab at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate.</div><br>
<div></div>
<div>
This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.</div><br>
<div></div>
<div>
The NIH-funded projects in the Li lab focus on studying molecular mechanisms of epigenetics and chromatin organization using fission yeast <i>Schizosaccharomyces pombe </i>as<i> </i>a model organism. Representative publications include: Nature (2011), PMID: 21725325; Molecular Cell (2016), PMID: 27666591; Cell Reports (2016), PMID: 26832414; PNAS (2021), PMID: 34810257; PNAS (2023), PMID: 38048463; Nature Communications (2024), PMID: 38773107). Planned projects use a combination of advanced approaches, including molecular genetics, live cell imaging, biochemistry, genomics, and structural biology<b>, </b>to address fundamental questions in epigenetics. Further information about our research can be found at: http://as.nyu.edu/biology/directory.fei-li.html</div><br>
<div></div>
<div>
In compliance with NYC&rsquo;s Pay Transparency Act, the annual base salary range for this position is $66,000-$68,200/year. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><div>The ideal candidate will hold a PhD, have prior research experience in Molecular Genetics, Biochemistry or Cell Biology, and a track record of peer-reviewed publications. Experiences with yeast genetics, epigenetics and chromatin, or fluorescence microscopy are desirable but not required.</div></div>
</div>
</div></div><div><div><h3 class="jobSectionHeader"><b>Application Instructions
</b></h3><div><div><div>Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information.</div></div></div></div></div></div>

Postdoctoral Associate (Li Lab)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.<br>
<br>
We&rsquo;re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will<br>
<ul><li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li><li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li><li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
</li><li>Provide customer and market feedback to product and engineering teams to help define product direction</li></ul><br>
About the team<br>
Diverse Experiences<br>
AWS 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>
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>
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>
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.<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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master&rsquo;s degree plus 10 years of relevant work experience</li><li>5+ years of hands on experience with Python to build, train, and evaluate models</li><li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li><li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li><li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li><li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li><li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li><li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li><li>Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams.</li><li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</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 $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, Model Customization, Generative AI Innovation Center, Model Customization

Astera Holdings

<div>
 <p>
  <strong>
   Software Engineer @ Astera Holdings
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Remote
 </p>
 <p>
  <strong>
   Type:
  </strong>
  Full-Time
 </p>
 <p>
  <strong>
   Reports to:
  </strong>
  Lead Engineer
 </p>
 <p>
  <strong>
   About Astera Holdings
  </strong>
 </p>
 <p>
  Astera Holdings is a quantitative finance firm on a mission to redefine prediction markets&mdash;an emerging category of financial markets where people trade on the outcomes of real-world events. Our goal is to transform this space from one driven by speculation into a legitimate, scientific asset class. We are building what we aspire to be the "Renaissance Technologies of prediction markets" and are looking for elite, intellectually curious individuals to join us in engineering this new frontier.
 </p>
 <p>
  Our company operates on a synergistic, three-pillar structure:
 </p>
 <ul>
  <li>
   <strong>
    BetSmart:
   </strong>
   Our consumer-facing DaaS application, designed to make smart betting simple and accessible.
  </li>
  <li>
   <strong>
    Astera Capital:
   </strong>
   Our institutional asset management arm, built to generate absolute, uncorrelated returns.
  </li>
  <li>
   <strong>
    Astera Analytics:
   </strong>
   Our premier B2B consulting partner, which deploys our core intelligence to solve complex enterprise challenges.
  </li>
 </ul>
 <p>
  These pillars work in concert to power the Astera Flywheel, our core competitive advantage. Each subsidiary generates unique, proprietary data that is fed back into our central Astera Intelligence Engine, making our models exponentially more powerful over time. Our culture is a "Meritocracy of Minds," built on Radical Intellectual Honesty, a Scientific Approach to Everything, and Lean Intensity.
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Senior Software Engineer, you are a lead architect and
  <strong>
   product builder
  </strong>
  , responsible for turning ambitious ideas into tangible, high-impact technology. This is a senior individual contributor role for a master engineer who is obsessed with the craft of building products from
  <strong>
   zero to one
  </strong>
  . You will be a foundational member of the engineering team, taking ownership of entire product verticals, from the user-facing BetSmart application to new AI-driven data products.
 </p>
 <p>
  This role is for a builder who has a proven track record of taking products from concept to launch and wants to make a massive impact. You will work directly with our leadership and quantitative researchers to architect, build, and ship the robust, elegant, and intelligent systems that will define our success.
 </p>
 <p>
  <strong>
   What You'll Do
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Product-First Architecture:
   </strong>
   Translate product vision and complex user needs into robust, scalable, and elegant technical solutions.
  </li>
  <li>
   <strong>
    End-to-End Ownership:
   </strong>
   Lead the full development lifecycle for new features and products&mdash;from ideation and rapid prototyping through to deployment, testing, and iteration.
  </li>
  <li>
   <strong>
    Build Groundbreaking Products:
   </strong>
   Architect and build the core of the BetSmart application and new AI-driven products, ensuring they are not only scalable but also provide a world-class user experience.
  </li>
  <li>
   <strong>
    Write Exceptional Code:
   </strong>
   Ship high-quality, well-tested, and maintainable code that serves as the standard for engineering excellence at Astera.
  </li>
  <li>
   <strong>
    Collaborate &amp; Influence:
   </strong>
   Work closely with leadership, quantitative researchers, and designers to define product roadmaps and shape the future of our technology.
  </li>
  <li>
   <strong>
    Mentor &amp; Elevate:
   </strong>
   Act as a technical leader and mentor for other engineers, elevating the team's capabilities through rigorous code reviews, architectural guidance, and sharing your deep expertise.
  </li>
 </ul>
 <p>
  <strong>
   What We're Looking For
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    A 0-to-1 Product Builder:
   </strong>
   A proven track record of building and launching successful products from concept to launch, ideally in a startup environment. You thrive in ambiguity and are an expert at turning ideas into reality.
  </li>
  <li>
   <strong>
    AI Startup Experience (Highly Valued):
   </strong>
   You have experience building and shipping products at an AI-native or data-intensive company. You understand how to build applications on top of complex models and data pipelines.
  </li>
  <li>
   <strong>
    Exceptional Engineering Craft:
   </strong>
   Deep, hands-on expertise across the stack. While you may have a backend focus (e.g., Go, Rust, Python), you are comfortable with the technologies needed to build a complete product.
  </li>
  <li>
   <strong>
    Pragmatic Architect:
   </strong>
   A deep understanding of system design, microservices, database design (SQL &amp; NoSQL), and cloud infrastructure (AWS, GCP), applied with a practical, product-driven mindset.
  </li>
  <li>
   <strong>
    A First-Principles Problem Solver:
   </strong>
   The ability to deconstruct complex challenges and build elegant, efficient solutions from the ground up.
  </li>
  <li>
   <strong>
    A Bias for Action &amp; Ownership:
   </strong>
   A self-starter mentality with a relentless focus on shipping and taking full ownership of your work from concept to production.
  </li>
 </ul>
 <p>
  <strong>
   Bonus Points If You
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Have deep experience with our stack:
   </strong>
   Proven expertise building modern, user-first applications with SvelteKit, TypeScript, and TailwindCSS.
  </li>
  <li>
   <strong>
    Are a Supabase expert:
   </strong>
   Hands-on experience leveraging Supabase for backend services, including Authentication, PostgreSQL, and real-time capabilities.
  </li>
  <li>
   <strong>
    Utilize AI in your workflow:
   </strong>
   A passion for using AI development tools to accelerate product creation and stay on the cutting edge of technology.
  </li>
  <li>
   <strong>
    Have built data-intensive products:
   </strong>
   Experience integrating with complex, real-time data APIs, particularly in the sports or financial technology domains.
  </li>
  <li>
   <strong>
    Have shipped mobile apps:
   </strong>
   A track record of building cross-platform mobile applications using web technologies like Capacitor.
  </li>
  <li>
   <strong>
    Have a passion for great UI/UX:
   </strong>
   A strong eye for design and experience building beautiful, responsive interfaces with modern component libraries like shadcn-svelte.
  </li>
 </ul>
 <p>
  <strong>
   To Apply
  </strong>
 </p>
 <p>
  Please send your application to jonah@astera.holdings with the following: your resume, a link to your GitHub profile, and a short note (or a Loom video) telling us:
 </p>
 <ol>
  <li>
   Why are you the perfect fit for this Senior Software Engineer role?
  </li>
 </ol>
 <p>
  About the most complex or interesting
  <strong>
   product
  </strong>
  you have ever designed or built.
 </p>
</div>


Software Engineer

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As a Software Engineer, Infrastructure (Early Career), you&rsquo;ll help build and operate the platform that powers Notion for millions of users. You&rsquo;ll work on services, storage, data, networking, observability, CI/CD, and developer experience to make our systems reliable, scalable, and efficient. You&rsquo;ll collaborate with senior engineers to design and implement high‑leverage infrastructure that enables product teams to ship quickly and safely.
 <br/>
 <br/>
 <strong>
  What You'll Achieve
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ship improvements to core infrastructure that increase reliability, performance, scalability, and cost efficiency.
  </li>
  <li>
   Contribute to backend systems that meet the needs of over 100 million global users, large enterprise customers, and our rapidly growing business.
  </li>
  <li>
   Build and maintain observability, alerting, and incident tooling to reduce MTTR and improve on‑call experience.
  </li>
  <li>
   Develop the skills and confidence to debug live production systems with minimal disruption. You will participate in an on-call rotation, responding to incidents to uphold service reliability and quickly restore normal operations.
  </li>
  <li>
   Automate operations with tooling and infrastructure‑as‑code to make our systems easy to run and evolve.
  </li>
  <li>
   Partner with our security teams to implement best practices for hardening, secrets, access, and compliance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Areas You Might Work On
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Storage and databases: schema design, migrations, performance tuning, caching.
  </li>
  <li>
   Compute and orchestration: service frameworks, containerization, CI/CD, rollout safety.
  </li>
  <li>
   Observability: metrics, tracing, logging, SLOs, dashboards.
  </li>
  <li>
   Networking and edge: APIs, rate limiting, load balancing, traffic shaping, CDN.
  </li>
  <li>
   Platform foundations: developer tooling, local dev ergonomics, SDKs, testing infra.
  </li>
  <li>
   Reliability engineering: capacity planning, failover, disaster recovery, chaos testing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BS or MS in Computer Science or related field, or equivalent practical experience.
  </li>
  <li>
   Proficiency in at least one general‑purpose programming language such as Typescript, Python, Rust, Go, Java, Python, or C++.
  </li>
  <li>
   Solid CS fundamentals in data structures, algorithms, systems, and networking.
  </li>
  <li>
   Experience from internships or projects building backend services , infrastructure, or full stack products.
  </li>
  <li>
   Strong communication skills and a collaborative, product‑minded approach.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with distributed systems, databases, and concurrency.
  </li>
  <li>
   Familiarity with Linux, cloud platforms (e.g., AWS or GCP), and containers.
  </li>
  <li>
   Exposure to Infrastructure‑as‑Code (e.g., Terraform), container orchestration, or service meshes.
  </li>
  <li>
   Hands‑on with observability stacks (e.g., Prometheus, OpenTelemetry, Grafana).
   <br/>
   <br/>
  </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 <br/>
 <br/>
 Location:
 <br/>
 <br/>
 San Francisco, CA or New York, NY, USA. Notion is an in-person company, and currently requires its employees to come to the office for two Anchor Days (Mondays &amp; Thursdays) and requests that employees spend the majority of their week in the office (including a third day).
 <br/>
 <br/>
 <strong>
  Notion Is An Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $126k - $170k per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Software Engineer, Infrastructure, Early Career

MACH9

<p><i><b>Narrative &amp; Data Intelligence Manager</b></i><br/><b>Location: Flexible/Remote</b></p><p><b>MUST HAVES:</b><br/><b>Language Requirement: </b>Full fluency in Spanish and English<br/><b>Work Experience: </b>Political Environment</p><p><b>ABOUT THE ROLE</b></p><p>We are seeking a Narrative &amp; Data Intelligence Manager to bridge the gap between analytics and strategy in a dynamic political environment. This role transforms diverse data streams&mdash;social listening, surveys, digital performance metrics, and AI-driven insights&mdash;into actionable narratives that shape public opinion, anticipate opposition messaging, and strengthen campaign positioning.</p><p>The ideal candidate brings both analytical rigor and storytelling expertise, able to interpret complex data trends and translate them into persuasive insights for political leaders, strategists, and communication teams.</p><p><b>Key Responsibilities</b></p><p>Collect, analyze, and synthesize data from social, digital, survey, and media sources.</p><p>Identify trends, patterns, and signals that influence public discourse and campaign outcomes.</p><p>Anticipate and deconstruct opposition narratives using data-driven intelligence.</p><p>Develop compelling storylines and reports that inform campaign strategy and communications.</p><p>Collaborate with cross-functional teams to align insights with messaging, outreach, and media planning.</p><p>Present findings clearly to senior political leaders and decision-makers.</p><p><b>Qualifications</b></p><ul><li>Fluent in Spanish and English (written and spoken).</li><li>Proven experience in political communications, campaign insights, media analysis, or digital intelligence.</li><li>Strong ability to translate complex data into persuasive narratives and strategic recommendations.</li><li>Proficiency with analytics tools (social listening platforms, digital metrics, surveys, AI-driven dashboards).</li><li>Exceptional communication, writing, and presentation skills.</li><li>Ability to thrive in a fast-paced, high-stakes political environment.</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li>A strategic thinker who can connect numbers to narratives&mdash;turning data into stories that inform, persuade, and mobilize. If you excel at blending technical insight with political storytelling, this role offers the opportunity to make an impact at the heart of political strategy.</li></ul><p>Job Type: Contract</p><p>Pay: $100.00 - $120.00 per hour</p><p>Application Question(s):</p><ul><li>Have you worked in politics or have an interest in politics</li></ul><p>Language:</p><ul><li>BOTH Spanish and English (fluently) (Required)</li></ul><p>Work Location: Hybrid remote in New York, NY 10001</p>

Narrative & Data Intelligence Manager

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