energy research scientist Jobs in New York United States

energy research scientist

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

applied ai ml director machine learning center of excellence

data science - generalist, senior associate / associate Jobs in New York United States

data science - generalist, senior associate / associate

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

machine learning engineer (modeling), risk

machine learning scientist

Amazon.com

<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

Thomson Reuters

<div>New Position: This position is open due to an existing vacancy to support our evolving business needs. 
Document understanding is a foundational intelligence layer that powers every major capability across our legal AI platform&mdash;from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw, and CoCounsel.
 
 
You'll build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems that serve as the cognitive foundation multiple product teams depend on, working across authoritative legal, tax and accounting content and extraordinarily diverse customer data.
 
 
This is a rare opportunity to solve publishing-quality research problems with immediate production impact&mdash;your innovations will directly shape how millions of legal professionals research, analyze, and reason over complex legal documents while advancing the capabilities that enable the next generation of intelligent legal AI agents.
About the role
As an Senior Applied Scientist you will: 
<ul><li>Innovate &amp; Deliver: Design, build, test, and deploy end-to-end AI solutions for complex document understanding tasks in the legal domain. Develop advanced models for semantic chunking of lengthy, non-uniformly structured legal documents with adjustable granularity levels for different use cases. Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata. Create LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge including citations, entities, and legal concepts across diverse legal content. Develop scalable synthetic data generation systems to support model training, simulate complex legal research queries and generate hallucination-free answers. Work in collaboration with engineering to ensure well-managed software delivery and reliability at scale. 
 
</li><li>Evaluate &amp; Optimize: Develop comprehensive data and evaluation strategies for both component-level and end-to-end quality, leveraging expert human annotation and synthetic data generation. Apply robust training and evaluation methodologies that balance model performance with latency requirements, particularly for SLM-based solutions. Apply knowledge distillation techniques to compress large models into efficient SLMs suitable for production deployment. 
 
</li><li>Drive Technical Decisions: Independently determine appropriate architectures for challenging document understanding problems including: semantic chunking strategies that handle diverse document formats, preserve legal document structure, and adapt to different granularity needs; document classification approaches that work across varying legal taxonomies and generalize to customer-defined schemas; LLM-based knowledge extraction methods that handle challenges like citation recognition errors and contextual references; multi-document reasoning architectures for generating synthetic multi-hop queries that reflect complex legal research patterns. Balance accuracy, efficiency, and scalability while solving real-world challenges like handling diverse document formats and content types. 
 
</li><li>Align &amp; Communicate: Partner closely with Engineering and Product teams to translate complex legal document understanding challenges into scalable, production-ready solutions. Engage stakeholders across multiple product lines to deeply understand use case requirements, shaping objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal research. 
 
</li><li>Advance the Field : Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research at top venues (e.g., ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD) , and intellectual property. 
</li></ul>About You
<ul><li>PhD in Computer Science, AI, NLP, or a related field, or a Master's with equivalent research/industry experience 
 
</li><li>5+ years of hands-on experience building and deploying document understanding systems, information extraction pipelines, or knowledge graph construction using deep learning, LLMs and NLP methods 
 
</li><li>Proven ability to translate complex document understanding problems into innovative AI applications that balance accuracy and efficiency 
 
</li><li>Professional experience scaling yourself and leading through others, in an applied research setting 
 
</li><li>Strong programming skills (e.g., Python) and experience with modern deep learning frameworks (e.g., PyTorch, Hugging Face Transformers, DeepSpeed) 
 
</li><li>Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD 
</li></ul>Technical Qualifications
<ul><li>Deep understanding of document understanding fundamentals: document layout analysis, semantic chunking approaches beyond fixed-size or paragraph-based methods, document classification handling hierarchical taxonomies, imbalanced multi-label classification, and adapting to domain-specific schemas 
 
</li><li>Expertise in knowledge extraction and knowledge graph construction: entity recognition and linking, relation extraction, citation parsing, and building graph representations from unstructured text 
 
</li><li>Expertise in LLM-based information extraction, few-shot and multi-task learning, post-training and knowledge distillation 
 
</li><li>Solid understanding of synthetic data generation techniques for NLP, including query - answer generation with verification and scalable data augmentation for training specialized models 
 
</li><li>Solid understanding of efficiency optimization including knowledge distillation, model compression, and designing SLM-based solutions that balance performance with computational constraints 
 
</li><li>Solid understanding of DL/ML approaches used for NLP tasks 
 
</li><li>Experience designing annotation workflows, creating high-quality labeled datasets with clear guidelines, and developing evaluation frameworks for document understanding tasks 
</li></ul>Preferred Qualifications
<ul><li>Prior work on legal document understanding, legal information extraction, knowledge representation including legal citations and legal domain concepts or legal AI applications 
 
</li><li>Prior work handling complex document structures common in legal documents: non-uniform formatting, nested hierarchies, cross-references, and embedded elements 
 
</li><li>Experience with building systems that perform analysis, question answering or retrieval across large document collections 
 
</li><li>Experience with knowledge graph frameworks and methodologies for legal or enterprise applications 
 
</li><li>Understanding of RAG and agentic workflows for enterprise knowledge 
 
</li><li>Publications at relevant venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD 
 
</li><li>Experience working with AzureML or AWS SageMaker
</li></ul>#LI-LP2
What&rsquo;s in it For You?
<ul><li>Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
</li><li>Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</li><li>Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</li><li>Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</li><li>Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</li><li>Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</li><li>Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
</li></ul>Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. 
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&amp;D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption &amp; Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations is $145,200 USD - $269,600 USD.&amp;#xa;For any eligible US locations, unless otherwise noted, the base compensation range for this role is $126,000 USD - $234,000 USD.&amp;#xa;For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD.&amp;#xa;&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.&amp;#xa;
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com . Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com</div>

Senior Applied Scientist, NLP/GenAI

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

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
 
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Machine Learning Engineer (Modeling), Risk

Mount Sinai Health System

<div>Description
The Associate Scientist is experienced in the conduct of research involving the understanding of human diseases and improvement of human health. May assist in the operation of the clinical laboratory. Engages in clinical investigation or other research, production, technical writing, and related activities, and may mentor less senior scientist and Associate Researcher staff. 
Responsibilities<ul><li>
Conducts research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings.</li><li>
Designs and conducts complex clinical research studies requiring the determination and evaluation of alternative methods, computational modeling, diagnosis and treatment.</li><li>
Plans and directs studies to investigate human or animal disease, preventive methods, and treatments for disease.</li><li>
May assist in clinical laboratory operations.</li><li>
Follows strict safety procedures when handling materials to avoid contamination.</li><li>
Teaches principles of medicine and medical and laboratory procedures to physicians, residents, students, and research staff.</li><li>
Confers with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.</li><li>
Develops treatments and designs research tools and techniques.</li><li>
Explores subject area and defines scope and selection of problems for investigation through conceptually related studies.</li><li>
Develops hypotheses to be tested and methodology for evaluating results.</li><li>
Examines the results of clinical trials and adjusts the dosage levels to reduce negative side effects or to induce better results.</li><li>
Communicates research results to the scientific community via published papers.</li><li>
Develops new proposals for research and obtain support for new and/ or continuing research activities.</li><li>
Makes recommendations that have a major impact on extensive scientific research activities.</li><li>
Performs other related duties.</li></ul> 

Qualifications<ul><li>
Ph.D. in Biological Science or related field</li><li>
Three years experience</li></ul> 
Employer Description
Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 
Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $58661 - $110000 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Associate Scientist - Endocrinology

Capgemini Invent

<div>
 At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
 
 
 Customer Analytics Senior Consultant
 
 
 As a
 
 Data Scientist
 
 within the
 
 Customer Analytics Advisory
 
 team at Capgemini Invent, you will play a pivotal role in helping clients transform and optimize their operations by leveraging insights from customer, commercial, and operational data. You will advise clients on the design, development, and deployment of advanced analytics and AI solutions that drive measurable business value.
 
 
 
 Responsibilities
 
 
 
 
 Client Advisory &amp; Solution Design
 
 
 
 <ul>
 <li>
 Lead the definition and development of customer analytics and data science solutions.
 </li>
 <li>
 Advise clients on solution architecture, implementation strategies, and best practices.
 </li>
 <li>
 Conduct workshops to identify business pain points, define solution paths, and co-create innovative analytics strategies.
 
 
 </li>
 </ul>
 
 Technical Implementation
 
 
 
 <ul>
 <li>
 Build and deploy machine learning models, customer segmentation algorithms, and predictive analytics solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate analytics into business processes and platforms.
 </li>
 <li>
 Ensure quality assurance, testing, and successful roll-out of analytics solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field.
 </li>
 <li>
 Proven experience in customer analytics, commercial insights, or operational data science.
 </li>
 <li>
 Strong ability to translate complex data into actionable business insights and recommendations.
 </li>
 <li>
 Hands-on experience with data science tools and programming languages such as Python, SQL, R, or MATLAB.
 </li>
 <li>
 Familiarity with AI/ML techniques, data visualization tools, and cloud platforms.
 </li>
 <li>
 Experience in delivering analytics use cases in industries such as Consumer Products, Retail, Manufacturing, Life Sciences, or Energy &amp; Utilities.
 </li>
 <li>
 Agile project delivery experience and understanding of consulting methodologies.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization
 
 
 </li>
 </ul>
 WHAT YOU&rsquo;LL LOVE ABOUT WORKING HERE?
 
 
 
 
 Empowerment:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Lead the change and take initiative
 </li>
 <li>
 Find the work-life balance that suites us
 </li>
 <li>
 Craft or own path through learning and career development programs
 
 
 </li>
 </ul>
 
 
 Energy:
 
 
 
 At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Connect as a global community of 13,000+ colleagues worldwide
 </li>
 <li>
 Celebrate our diverse perspectives and draw from strength from our differences
 </li>
 <li>
 Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes
 
 
 </li>
 </ul>
 
 
 Experiences
 
 
 
 : At Capgemini Invent, we:
 
 
 
 <ul>
 <li>
 Work internally and with clients to make a difference
 </li>
 <li>
 Push boundaries to reimagine what&rsquo;s possible
 </li>
 <li>
 Work to build a more sustainable and inclusive future
 
 
 </li>
 </ul>
 The base compensation range for this role in the posted location is: $112,600 - $212,700
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
 
 
 These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 Benefits
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 
 
 </li>
 </ul>
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Capgemini Invent, Customer Analytics Sr. Consultant

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