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applied researcher i ai foundations

Capital One

<div>Applied Researcher I (AI Foundations)
Overview:
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.
Team Description:
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. 
In this role, you will:<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, Huggingface, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</li><li>
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.</li><li>
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</li></ul>
The Ideal Candidate:<ul><li>
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&rsquo;re passionate about talent development for your own team and beyond.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.</li><li>
Has a deep understanding of the foundations of AI methodologies.</li><li>
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.</li><li>
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.</li><li>
Experience in delivering libraries, platform level code or solution level code to existing products.</li><li>
A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.</li><li>
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research</li></ul>
Preferred Qualifications:<ul><li>
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields</li><li>
LLM<ul><li>
PhD focus on NLP or Masters with 5 years of industrial NLP research experience</li><li>
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)</li><li>
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)</li><li>
Publications in deep learning theory</li><li>
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR</li></ul></li><li>
Finetuning<ul><li>
PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)</li><li>
Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance</li><li>
Experience deploying a fine-tuned large language model</li></ul></li><li>
Data Preparation<ul><li>
Publications studying tokenization, data quality, dataset curation, or labeling</li><li>
Contribution to a major open source corpus</li><li>
Contribution to open source libraries for data quality, dataset curation, or labeling</li></ul></li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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.
Cambridge, MA: $218,700 - $249,600 for Applied Researcher I 

McLean, VA: $218,700 - $249,600 for Applied Researcher I 

New York, NY: $238,600 - $272,300 for Applied Researcher I 

San Jose, CA: $238,600 - $272,300 for Applied Researcher I 
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.
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.
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.
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.
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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div>

Applied Researcher I (AI Foundations)

Eagle

<div>About Eagle<ul><li>
Eagle is an AI native platform on a mission to unleash engineering services for the built environment.</li><li>
We acquire and scale world-class civil engineering firms by putting proprietary technology into the hands of the engineers who design our nation&rsquo;s critical infrastructure (think water systems, power utilities, bridges, and more).</li><li>
Our ambition is to create the first AI-native engineering design firm to meet the country's generational energy, climate, and infrastructure needs.</li><li>
We're backed by Lightspeed Venture Partners, a global venture capital firm.</li><li>
https://www.eagleeng.com/</li></ul>
Eagle was founded by Mayank (Penn, ex-Bloomberg, ex-Ethic) and Sohum (Penn M&amp;T, ex-Long Ridge) 
The Role<ul><li>
Eagle is seeking an Applied AI Engineer to build systems that automate the most time-consuming parts of civil engineering. Our goal is unleash civil engineers to focus on design, not documentation.</li><li>
You'll work alongside civil engineers daily, translating real-world infrastructure challenges into production AI solutions for water, transportation, and utility projects.</li></ul>
What You'll Do<ul><li>
Collaborate directly with civil engineers to understand domain-specific workflows and translate them into AI-powered tools</li><li>
Build AI systems that automate drafting, calculations, and documentation &mdash; freeing engineers to focus on higher-value design work</li><li>
Develop spatial reasoning models that can interpret blueprints and generate preliminary designs for standard infrastructure projects</li><li>
Create agents that synthesize regulatory standards, run modeling simulations, and automate repetitive engineering tasks</li><li>
Integrate LLMs and multimodal models into production workflows that serve real engineering teams</li><li>
Own the full lifecycle &mdash; from prototyping and experimentation to deployment and iteration</li></ul>
What You'll Bring<ul><li>
5+ years of experience in software engineering, with 2+ years focused on applied AI/ML</li><li>
Hands-on experience building and deploying LLM-based applications in production</li><li>
Strong Python skills and familiarity with ML frameworks (PyTorch, HuggingFace, etc.)</li><li>
Experience with RAG architectures, prompt engineering, and/or fine-tuning</li><li>
Comfort with ambiguity&mdash;you can take a fuzzy problem and figure out what to build</li><li>
Bonus: Experience with computer vision, CAD file formats, or spatial data</li><li>
Bonus: Background in engineering, AEC, or other technical domains</li></ul>
Compensation Range: $175K - $250K</div>

Applied AI Engineer

Jack & Jill

<div>
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 Full-Stack Software Engineer
 
 
 
 Company Description:
 
 Fast-growing voice AI startup
 
 
 
 Job Description:
 
 
 
 Join a stealth startup building the next generation of voice AI products for small businesses. As a Full-Stack Software Engineer, you'll have high ownership, directly contributing to our voice AI platform's product experience. We seek a driven, product-minded engineer ready to make an immediate impact from day one.
 
 
 
 Location:
 
 Remote
 
 
 
 Why this role is remarkable:
 
 
 
 <ul>
 <li>
 High degree of ownership and direct impact on a cutting-edge voice AI product.
 </li>
 <li>
 Opportunity to shape the foundational technology of a next-generation platform.
 </li>
 <li>
 Work with a lean, agile team in a fast-paced, innovative startup environment.
 
 
 </li>
 </ul>
 
 What you will do:
 
 
 
 <ul>
 <li>
 Develop and implement features across the full stack using Node.js and Next.js.
 </li>
 <li>
 Integrate with various 3rd party systems like payments, CRMs, and scheduling software.
 </li>
 <li>
 Contribute to a best-in-class voice experience for business owners.
 
 
 </li>
 </ul>
 
 The ideal candidate:
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with Node.js, Next.js, and JavaScript frameworks.
 </li>
 <li>
 Strong product sense and an appreciation for well-designed products and apps.
 </li>
 <li>
 Excellent English communication skills and a relevant degree in Computer Science or related field.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 Next steps
 
 
 
 Step 1. Visit our website
 
 
 Step 2. Click
 
 'Talk to Jack'
 
 .
 
 
 Step 3. Talk to Jack so he can understand your experience and ambitions.
 
 
 Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
 
 
 Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
 
 
 Step 6. If not, Jack will find you excellent alternatives. All for free.
 
 
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
 
</div>

Full-Stack Software Engineer at Fast-growing voice AI startup

JPMorganChase

<div>JOB DESCRIPTION 
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community.
Job responsibilities<ul>
<li>Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning</li>
<li>Collaborate with internal and external researchers and with applied engineering teams</li>
<li>Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research</li>
<li>Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals</li>
<li>Participate in relevant top-tier academic conferences to broaden the impact of your contributions</li></ul>
Required qualifications, capabilities, and skills<ul>
<li>PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field</li>
<li>Research publications in prominent AI venues; e.g., conferences, journals</li>
<li>Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, &hellip;</li>
<li>Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models</li>
<li>Proficiency with rapid prototyping and disciplined software development processes</li>
<li>Expertise in software engineering within collaborative project settings</li></ul>
Preferred qualifications, capabilities, and skills<ul>
<li>Extensive programming skills in Python (required), Java or C++ (optional)</li>
<li>Interest in problems related to the financial services domain (specific past experience in the domain is not required)</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Research Scientist-Sr. Associate

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
Key job responsibilities 
As an applied scientist on our team, you will 
 
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul> 
About the team 
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale. 
 
Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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 state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li><li>Deep curiosity, and basic knowledge on Gen AI</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Previous work on agents or LLMs</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Sponsored Products and Brands

Valon

<div>
 
 About The Company
 
 
 
 Valon is building the AI-native operating system for regulated finance, starting with mortgage servicing.
 
 
 We're a Series C company backed by a16z, transforming industries that others have written off as too complex to innovate.
 
 
 Rather than build on top of broken legacy systems, we took a different approach: we built and operate our own mortgage servicing business managing $110+ billion in loans. This wasn't the end goal, it was how we deeply understood the complexity needed to build software that actually works in regulated industries.
 
 
 The results speak for themselves. We've transformed mortgage servicing from a 0% margin business into 60%+ margins while dramatically improving customer experience. Major enterprise contracts are now deploying across the industry.
 
 
 ValonOS is our unified platform that makes every process structured and programmable and it is perfectly positioned for the AI era. When everything flows through one system with rich data, AI agents don't just automate tasks, they continuously improve entire operations. Mortgage servicing is just the beginning of our vision to transform regulated industries and beyond.
 
 
 
 About The Role
 
 
 
 You will be the third member of Valon&rsquo;s technology legal team and will help build the legal foundation for the AI-native operating system for regulated finance. This is not a traditional in-house support role. You&rsquo;ll operate as a true partner to product, engineering, compliance, and leadership as we scale a system of record in one of the most complex and tightly regulated industries in the world.
 
 
 This is a high-ownership generalist role. You&rsquo;ll manage and prioritize a large volume of matters, shift between fast execution and meticulous precision, and develop judgment on how to balance both in environments where correctness is non-negotiable. We&rsquo;re looking for a junior attorney from a top law firm who wants to do
 
 real
 
 legal and operational work years earlier than Big Law typically allows.
 
 
 You will move between structured, detail-heavy workflows and open-ended, first-principles problems. Your work will span commercial negotiations, product and AI-related regulatory analysis, corporate governance, and cross-functional legal strategy. The surface area is unusually broad for this stage in a legal career&mdash;and intentionally so. In a company defined by complexity, your ability to learn quickly, synthesize ambiguity, and build durable systems will matter more than years of experience.
 
 
 If you&rsquo;re motivated by responsibility, energized by difficult problems, and excited to help architect the legal infrastructure of a high-velocity technology company, you&rsquo;ll thrive here.
 
 
 
 Commercial
 
 
 
 
 Responsibilities may include:
 
 
 
 <ul>
 <li>
 Own negotiation and drafting for high-impact commercial agreements, including multi-million-dollar enterprise partnerships for ValonOS.
 </li>
 <li>
 Build contracting processes and operational guardrails that enable the company to scale with both speed and precision.
 
 
 </li>
 </ul>
 
 Regulatory/Compliance
 
 
 
 <ul>
 <li>
 Lead complex regulatory and compliance initiatives from design through implementation.
 </li>
 <li>
 Become a trusted advisor on the frameworks governing AI, data, and financial products.
 </li>
 <li>
 Monitor evolving federal and state law to ensure Valon remains ahead of a rapidly shifting landscape.
 </li>
 <li>
 Develop training and compliance programs that scale across teams.
 </li>
 <li>
 Translate emerging AI, data, and mortgage-servicing regulations into product and operational requirements&mdash;directly shaping how Valon builds and deploys the system of record for regulated finance.
 
 
 </li>
 </ul>
 
 Corporate And Other
 
 
 
 <ul>
 <li>
 Work directly with senior leadership on board governance, financings, audits, and strategic projects that influence Valon&rsquo;s trajectory.
 </li>
 <li>
 Drive cross-functional legal projects as business needs evolve in a fast-growing environment.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Juris Doctor (JD) degree (or foreign equivalent) from a leading law school.
 </li>
 <li>
 Admitted in New York, or eligible to waive in.
 </li>
 <li>
 ~1&ndash;4 years at a top law firm with substantive exposure to corporate, commercial, or complex regulatory matters (ideally a mix).
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Exceptional written and verbal communication with internal and external stakeholders.
 </li>
 <li>
 Strong legal drafting skills and ability to articulate business and risk implications clearly.
 </li>
 <li>
 Demonstrated ability to interpret complex statutes, regulations, and supervisory guidance.
 </li>
 <li>
 Researcher with a bias toward actionable synthesis, not academic analysis.
 </li>
 <li>
 Highly organized with strong attention to detail&mdash;especially in precision-critical contexts.
 </li>
 <li>
 Comfort with financial concepts necessary to evaluate commercial terms.
 
 
 </li>
 </ul>
 
 Mindset
 
 
 
 <ul>
 <li>
 Thrives in high-ownership environments with minimal bureaucracy.
 </li>
 <li>
 Comfortable balancing urgency with uncompromising precision in regulated domains.
 </li>
 <li>
 Energized by ambiguity, complexity, and solving hard problems with smart people.
 </li>
 <li>
 Views legal as a product-enablement function, not a back-office gatekeeper.
 </li>
 <li>
 Enjoys fast pace, honest feedback, and a culture that rewards initiative and impact.
 
 
 </li>
 </ul>
 
 How We Work
 
 
 
 <ul>
 <li>
 NYC hybrid: 3 days onsite per week.
 </li>
 <li>
 Compensation: Base Salary Range of $170,000&ndash;$200,000 plus participation in our equity program.
 </li>
 <li>
 We value diverse backgrounds and perspectives.
 </li>
 <li>
 Legal works directly with operators, engineers, and product leaders, embedding deeply in the business to accelerate execution.
 
 
 </li>
 </ul>
 
 If you want breadth, speed, and visible impact, and you want to grow faster in three years here than in ten years elsewhere, this role is for you.
 
 
 
 
 Throughout the interview process, please remember that emails will only be from
 
 
 valon.com
 
 
 email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach.
 
 
 
 
 Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time.
 
</div>

Legal Counsel

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
A day in the life 
As a Software Development Engineer, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging GenAI and LLMs to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Experience programming with at least one software programming language</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experience integrating GenAI tools, evaluating and refining GenAI outputs, and applying responsible AI practices to augment productivity and quality</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Amazon Ads

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