agent software engineer

applied ai ml director machine learning center of excellence Jobs in New York

applied ai ml director machine learning center of excellence

machine learning engineer (modeling), risk Jobs in New York

machine learning engineer (modeling), risk

operational risk fraud oversight manager ii Jobs in New York

operational risk fraud oversight manager ii

project risk management consultant Jobs in New York

project risk management consultant

machine learning engineer modeling risk

Square

<div>
 Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn&rsquo;t work together.
 
 
 So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we&rsquo;ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
 
 
 Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We&rsquo;re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
 
 
 
 The Role
 
 
 
 Block's Chargeback Risk Machine Learning team members build machine learning models and systems to precisely detect, intervene on, and reduce fraudulent activity across Block's Cash App and Square ecosystems. As part of our team, you and your work will safeguard the Cash App and Square ecosystems from financial loss and provide trustworthy and seamless financial experiences for millions of customers and sellers.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven solutions to fight fraud at scale
 </li>
 <li>
 Become a risk domain expert and expert to lead strategy and planning on your workstreams.
 </li>
 <li>
 Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
 </li>
 <li>
 Investigate and use state-of-the-art modeling algorithms and third-party data sources to boost model performance
 </li>
 <li>
 Contribute positively to our team culture as a collaborative, empathetic, and reliable teammate.
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 <ul>
 <li>
 3+ years of machine learning experience
 </li>
 <li>
 A degree (preferably graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
 </li>
 <li>
 Hands-on experience independently designing, deploying, and troubleshooting ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.
 </li>
 <li>
 Proficiency in modern ML stacks such as: PySpark, PyTorch, MLflow, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)
 </li>
 <li>
 Proficiency with containerization, cloud platforms (AWS, GCP), and CI/CD practices.
 </li>
 <li>
 Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions at scale
 </li>
 <li>
 Experience helping your teammates grow through mentorship and providing constructive feedback.
 </li>
 <li>
 A natural sense of curiosity, and experience with Block's mission of economic empowerment.
 
 
 </li>
 </ul>
 Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
 
 
 To find a location&rsquo;s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
 
 
 
 Zone A
 
 
 
 $189,000&mdash;$283,600 USD
 
 
 
 Zone B
 
 
 
 $179,600&mdash;$269,400 USD
 
 
 
 Zone C
 
 
 
 $170,100&mdash;$255,100 USD
 
 
 
 Zone D
 
 
 
 $160,700&mdash;$241,100 USD
 
 
 
 Use of AI in Our Hiring Process
 
 
 
 We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
 
 
 Contact us here with hiring practice or data usage questions.
 
 
 
 Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.
 
 
 Check out our other benefits at Block.
 
 
 
 
 Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.
 
 Square
 
 makes commerce and financial services accessible to sellers.
 
 Cash App
 
 is the easy way to spend, send, and store money.
 
 Afterpay
 
 is transforming the way customers manage their spending over time.
 
 TIDAL
 
 is a music platform that empowers artists to thrive as entrepreneurs.
 
 Bitkey
 
 is a simple self-custody wallet built for bitcoin.
 
 Proto
 
 is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.
 
 
 
 Privacy Policy
</div>

Machine Learning Engineer (Modeling), Risk

Blue Owl Capital

<div>
 Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives&reg;.
 
 
 With over $295 billion in assets under management as of September 30, 2025, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.
 
 
 Together with approximately 1,365 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visit www.blueowl.com
 
 
 
 The Role
 
 
 
 We are looking for a versatile Data Scientist to work across multiple investment verticals, including liquid credit, insurance, direct lending, and other alternative strategies. This role provides exposure to diverse asset classes and requires adaptability, intellectual curiosity, and strong technical foundations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with teams across the firm to scope and deliver data-driven solutions.
 </li>
 <li>
 Develop flexible Python-based tools to support portfolio monitoring, alpha generation, and risk management.
 </li>
 <li>
 Apply machine learning and statistical techniques to large-scale financial datasets.
 </li>
 <li>
 Design scalable dashboards and visualizations to support investment workflows.
 </li>
 <li>
 Conduct ad hoc analyses across asset classes and product groups.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a STEM discipline.
 </li>
 <li>
 Complete fluency in Python; strong experience with pandas, NumPy, scikit-learn.
 </li>
 <li>
 Demonstrated interest in financial markets and investing.
 </li>
 <li>
 2&ndash;4 years of professional experience in data science, analytics, or financial modeling.
 </li>
 <li>
 Strong problem-solving skills and ability to deliver practical, usable outputs across domains.
 
 
 </li>
 </ul>
 It is expected that the base annual salary range for this New York City-based position will be $125,000 to $175,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.
 
 
 Blue Owl is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
</div>

Data Science - Generalist, Senior Associate / Associate

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.
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
Job Responsibilities<ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 
<li>
</li></ul>Required qualifications, capabilities, and skills<ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul>
Preferred qualifications, capabilities , and skills:<ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</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>

Applied AI ML Director Machine Learning Center of Excellence

Toll International LLC

<div>
 
 
 Position Title:&nbsp;
 
 
 Project Risk Manager
 
 &nbsp;
 
 
 
 
 
 
 Work Schedule:&nbsp;
 
 Hybrid (on-site and remote as required by project needs)&nbsp;
 
 
 
 
 
 
 Location:&nbsp;
 
 New York City, NY&nbsp;&nbsp;
 
 
 
 
 
 
 Company Overview
 
 &nbsp;
 
 
 
 
 
 Toll International is a premier consulting firm based in New York City,&nbsp;specialized&nbsp;in comprehensive construction project management and technology-enabled solutions. Renowned for our dedication to delivering high-quality, cost-effective, and innovative results tailored to the unique needs of our clients, we lead infrastructure and digital transformation projects across New York State and beyond.&nbsp;
 
 
 
 
 
 We are proud to partner with the Port Authority of New York &amp; New Jersey (PANYNJ) on high-impact infrastructure and technology initiatives. We are currently seeking talented professionals to collaborate with subject matter experts, project managers, and process owners to deliver critical projects.&nbsp;
 
 
 
 
 
 
 Position Overview
 
 &nbsp;
 
 
 
 
 
 Toll International is seeking an experienced&nbsp;
 
 Project Risk Management Consultant
 
 &nbsp;to support the Port Authority of New York &amp; New Jersey on active capital and non-capital infrastructure projects. This role&nbsp;is responsible for&nbsp;leading end-to-end project risk management efforts, including risk identification, quantitative analysis, modeling, mitigation planning, and reporting.&nbsp;
 
 
 
 
 
 The consultant will work closely with Port Authority stakeholders, project teams, and subject matter experts to ensure project risks related to cost, schedule, and scope are properly&nbsp;identified, analyzed, and mitigated. This position plays a critical role in supporting project authorization decisions and strengthening enterprise risk management practices across complex infrastructure programs.&nbsp;
 
 
 
 
 
 &nbsp;
 
 
 
 
 
 
 Key Responsibilities
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Lead and manage comprehensive project risk assessments for capital and non-capital projects&nbsp;
 </li>
 <li>
 Plan, organize, and&nbsp;facilitate&nbsp;project risk assessment and risk mitigation workshops&nbsp;
 </li>
 <li>
 Identify, document, score, and analyze project risks using Authority-provided templates and standards&nbsp;
 </li>
 <li>
 Perform quantitative cost and schedule risk analysis using Monte Carlo simulation techniques&nbsp;
 </li>
 <li>
 Develop and&nbsp;maintain&nbsp;project risk registers and risk assessment models&nbsp;
 </li>
 <li>
 Review and&nbsp;validate&nbsp;engineering documentation, construction cost estimates, and project schedules&nbsp;
 </li>
 <li>
 Develop Primavera P6 schedules when&nbsp;required&nbsp;to support schedule risk modeling&nbsp;
 </li>
 <li>
 Prepare draft and final Project Risk Assessment Reports and Lessons Learned Reports&nbsp;
 </li>
 <li>
 Present risk analysis findings and recommendations to stakeholders and leadership&nbsp;
 </li>
 <li>
 Support continuous improvement of the Authority&rsquo;s risk management processes&nbsp;
 </li>
 <li>
 Provide risk management training, mentoring, and briefings as&nbsp;required&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 Required Qualifications
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Bachelor of Science degree in engineering, accounting, economics, or business administration&nbsp;
 
 OR
 
 &nbsp;a Project Management Professional (PMP) certification with a technical degree&nbsp;
 </li>
 <li>
 Minimum&nbsp;
 
 three (3) years of direct experience
 
 &nbsp;performing project risk assessments on capital or infrastructure projects&nbsp;
 </li>
 <li>
 Proven experience conducting risk assessment workshops and preparing formal risk assessment reports&nbsp;
 </li>
 <li>
 Strong, in-depth knowledge of project risk management and project management principles&nbsp;
 </li>
 <li>
 Hands-on experience with&nbsp;
 
 risk modeling and analysis tools
 
 , including:&nbsp;
 </li>
 <li>
 Lumivero&nbsp;/ Palisade&nbsp;
 
 @Risk
 
 &nbsp;(Excel add-in)&nbsp;
 </li>
 <li>
 
 Oracle Primavera Risk Analysis
 
 &nbsp;
 </li>
 <li>
 Demonstrated experience using&nbsp;
 
 Oracle Primavera P6 (Version 21)
 
 &nbsp;for schedule development and analysis&nbsp;
 </li>
 <li>
 Proficiency&nbsp;in Microsoft Office Suite, particularly Excel for quantitative analysis&nbsp;
 </li>
 <li>
 Excellent communication, facilitation, and stakeholder engagement skills&nbsp;
 </li>
 <li>
 Proven ability to manage multiple projects simultaneously and work independently&nbsp;
 </li>
 <li>
 Ability to obtain a&nbsp;
 
 SWAC ID and&nbsp;required&nbsp;security clearances&nbsp;immediately&nbsp;upon hire
 
 &nbsp;
 </li>
 <li>
 Availability for&nbsp;
 
 immediate assignment
 
 &nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 Preferred Qualifications
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 
 PMI Risk Management Professional (PMI-RMP)
 
 &nbsp;certification&nbsp;
 </li>
 <li>
 Prior experience working with public-sector agencies or large infrastructure owners&nbsp;
 </li>
 <li>
 Experience supporting transportation, aviation, or large-scale infrastructure programs&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 What We Offer
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Competitive salary with an extensive benefits package&nbsp;
 </li>
 <li>
 Engagement in high-profile, long-term projects&nbsp;
 </li>
 <li>
 A dynamic and supportive work environment&nbsp;
 </li>
 <li>
 Opportunities for professional growth and advancement&nbsp;
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 
 Ready to Apply?
 
 &nbsp;
 
 
 
 
 
 Qualified candidates should&nbsp;submit&nbsp;a resume highlighting experience. Indicate the role(s) of interest. Complete the employment application on our website:&nbsp;
 
 Toll International Careers Page
 
 &nbsp;at&nbsp;https://www.tollintl.com/careers&nbsp;&ndash;&nbsp;
 
 Include your resume
 
 .&nbsp;
 
 
 
 
 
 
 Note:
 
 &nbsp;Candidates who&nbsp;don&rsquo;t&nbsp;complete the employment application will not be considered.&nbsp;
 
</div>

Project Risk Management Consultant

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></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>3+ years of building complex software systems experience</li><li>2+ 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>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</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. 
 
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. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer

<div><div><h3 class="jobSectionHeader">About xAI</h3>

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</div><h3 class="jobSectionHeader">
Focus</h3>
<ul><li>Creating and driving engineering agenda to toward superhuman multimodal capabilities, which include both multimodal understanding and multimodal generation, across different modalities including image, video and audio.</li>
<li>Improving data quality, developing data filtering/generation techniques, and performing data study, on pretraining scale.</li>
<li>Creating evaluation frameworks and internal benchmarks.</li>
<li>Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance.</li>
</ul><h3 class="jobSectionHeader">Ideal Experience</h3>
<ul><li>Hands-on experience on visual, audio or multimodal pretraining.</li>
<li>Track record in leading engineering that significantly improves the capability and performance of neural networks, whether better data or better modeling.</li>
<li>Experience in data-driven experiment designs and systematic analysis for iterative model debugging.</li>
<li>Experience in developing or working with large-scale distributed machine learning systems.</li>
<li>Ability to do whatever is necessary to deliver the best end-to-end user experience.</li>
</ul><h3 class="jobSectionHeader">Tech Stack</h3>
<ul><li>Python</li>
<li>Jax</li>
<li>Rust</li>
</ul><h3 class="jobSectionHeader">Interview Process</h3>

After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (&quot;intro call&quot;) during which a member of our team will ask some basic questions. If you clear the initial , you will enter the main process, which consists of four technical interviews:
<ul>
<li>One-on-one engineering discussion &amp; coding interviews (three meetings total)</li>
<li>Meet the Team: Present your past exceptional work and your vision with xAI to a small audience.</li>
</ul>
Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet.
<h3 class="jobSectionHeader">
Location</h3>

The role is based in the New York area. Candidates are expected to be located near the New York City area or open to relocation.
<h3 class="jobSectionHeader">
Annual Salary Range</h3>

$180,000 - $440,000 USD
<h3 class="jobSectionHeader">
Benefits</h3>

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.<div>
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.</div></div>

Member of Technical Staff, Multimodal Understanding (Visual / Audio)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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. 
 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be pivotal 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>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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>

Applied Scientist, Off-Search Relevance, Sponsored Products

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